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Kelvin George Balcombe

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. A. B. Prakash & E. H. D'A. Oliver & K. Balcombe, 2001. "Does building new roads really create extra traffic? Some new evidence," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1579-1585.

    Mentioned in:

    1. Do more roads really mean less congestion for commuters?
      by Michiel Bliemer, Professor in Transport and Logistics Network Modelling at University of Sydney in The Conversation on 2015-04-13 01:33:10

Working papers

  1. Kelvin Balcombe & Dylan Bradley & Iain Fraser, 2020. "The Economic Analysis of Consumer Attitudes Towards Food Produced Using Prohibited Production Methods: Do Consumers Really Care?," Studies in Economics 2004, School of Economics, University of Kent.

    Cited by:

    1. Ching‐Hua Yeh & Stefan Hirsch, 2023. "A meta‐regression analysis on the willingness‐to‐pay for country‐of‐origin labelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 719-743, September.
    2. Vo Hong Tu & Steven W. Kopp & Nguyen Thuy Trang & Andreas Kontoleon & Mitsuyasu Yabe, 2021. "UK Consumers’ Preferences for Ethical Attributes of Floating Rice: Implications for Environmentally Friendly Agriculture in Vietnam," Sustainability, MDPI, vol. 13(15), pages 1-27, July.

  2. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2019. "Preference Reversals in Discrete Choice Experiments. Inattention or Preference Uncertainty? Some Evidence Using Eyetracking," 2019 Conference (63rd), February 12-15, 2019, Melbourne, Australia 285050, Australian Agricultural and Resource Economics Society (AARES).

    Cited by:

    1. Herrington, Caitlin L. & Ortega, David L. & Maredia, Mywish K. & Reyes, Byron A., 2023. "Does Bid Quantity Matter? Comparing Farmer Willingness-to-Pay for Specified vs Open-Ended Quantities of Biofortified Bean and Maize Seed in a Non-hypothetical Field Experiment," 2023 Annual Meeting, July 23-25, Washington D.C. 335919, Agricultural and Applied Economics Association.

  3. Pinpart, Ponjan & Asioli, Daniele & Balcombe, Kelvin, 2019. "Investigating Consumer Food Waste Decisions: A Cross-country Comparison between Thailand and the United Kingdom," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290760, Agricultural and Applied Economics Association.

    Cited by:

    1. Lopez Barrera, Emiliano & Hertel, Thomas, 2021. "Global food waste across the income spectrum: Implications for food prices, production and resource use," Food Policy, Elsevier, vol. 98(C).
    2. Y. Feng & C. Marek & J. Tosun, 2022. "Fighting Food Waste by Law: Making Sense of the Chinese Approach," Journal of Consumer Policy, Springer, vol. 45(3), pages 457-479, September.

  4. Areal, Francisco J. & Balcombe, Kelvin G. & Rapsomanikis, George, 2014. "Testing for bubbles in agricultural commodity markets," ESA Working Papers 288981, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).

    Cited by:

    1. Etienne, Xiaoli, 2015. "Financialization of Agricultural Commodity Markets: Do Financial Data Help to Forecast Agricultural Prices," 2015 Conference, August 9-14, 2015, Milan, Italy 211626, International Association of Agricultural Economists.
    2. Fatima, Hira & Ahmed, Mumtaz, 2019. "Testing for Exuberance Behavior in Agricultural Commodities of Pakistan," MPRA Paper 95304, University Library of Munich, Germany.
    3. Caspi, Itamar & Katzke, Nico & Gupta, Rangan, 2018. "Date stamping historical periods of oil price explosivity: 1876–2014," Energy Economics, Elsevier, vol. 70(C), pages 582-587.
    4. Koy, Ayben, 2018. "Testing Multi Bubbles for Commodity Derivative Markets: A Study on MCX," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 9(2), pages 291-299, April.
    5. Rosa, Franco & Vasciaveo, Michela & Weaver, Robert D., 2014. "Agricultural and oil commodities: price transmission and market integration between US and Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-25, August.
    6. Itamar Caspi & Nico Katzke & Rangan Gupta, 2014. "Date stamping historical oil price bubbles: 1876 - 2014," Working Papers 20/2014, Stellenbosch University, Department of Economics.
    7. Laurie Binge & Willem H Boshoff, 2016. "Modelling South African Art Prices: An analysis of post-2000 price behaviour," Working Papers 18/2016, Stellenbosch University, Department of Economics.
    8. Irwin, Scott H., 2020. "Trilogy for troubleshooting convergence: Manipulation, structural imbalance, and storage rates," Journal of Commodity Markets, Elsevier, vol. 17(C).
    9. Fantazzini, Dean, 2016. "The Oil Price Crash in 2014/15: Was There a (Negative) Financial Bubble?," MPRA Paper 72094, University Library of Munich, Germany.
    10. Caramugan, Karlo Martin & Bayacag, Purisima, 2016. "Price Bubble in Selected ASEAN Agricultural Exports: An Application of the Generalized Supremum Augmented Dickey Fuller," MPRA Paper 74807, University Library of Munich, Germany.
    11. Kübra Akyol Özcan, 2023. "Food Price Bubbles: Food Price Indices of Turkey, the FAO, the OECD, and the IMF," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    12. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96705, University Library of Munich, Germany.
    13. Kräussl, Roman & Lehnert, Thorsten & Martelin, Nicolas, 2016. "Is there a bubble in the art market?," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 99-109.
    14. Binge, Laurie H. & Boshoff, Willem H., 2021. "Measuring alternative asset prices in an emerging market: The case of the South African art market," Emerging Markets Review, Elsevier, vol. 47(C).
    15. El Montasser, Ghassen & Malek Belhoula, Mohamed & Charfeddine, Lanouar, 2023. "Co-explosivity versus leading effects: Evidence from crude oil and agricultural commodities," Resources Policy, Elsevier, vol. 81(C).
    16. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    17. Jeanne Diesteldorf & Sarah Meyer & Jan Voelzke, 2016. "New evidence for explosive behavior of commodity prices," CQE Working Papers 5016, Center for Quantitative Economics (CQE), University of Muenster.
    18. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96847, University Library of Munich, Germany.
    19. Moreno-Pérez, Olga M. & Marcossi, Gisele P.C. & Ortiz-Miranda, Dionisio, 2017. "Taking stock of the evolution of the biodiesel industry in Brazil: Business concentration and structural traits," Energy Policy, Elsevier, vol. 110(C), pages 525-533.

  5. Balcombe, Kelvin George & Fraser, Iain & McSorley, Eugene, 2013. "Visual Attention and Attribute Attendance in Multi-Attribute Choice Experiments," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158709, Agricultural Economics Society.

    Cited by:

    1. Kelvin Balcombe & Michail Bitzios & Iain Fraser & Janet Haddock-Fraser, 2014. "Using Attribute Importance Rankings Within Discrete Choice Experiments: An Application to Valuing Bread Attributes," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 446-462, June.
    2. Hayk Khachatryan & Alicia Rihn & Ben Campbell & Bridget Behe & Charles Hall, 2018. "How do consumer perceptions of “local†production benefits influence their visual attention to state marketing programs?," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 390-406, March.
    3. Parvaneh Shahnoori & Glenn P. Jenkins, 2019. "Valuation of the Quality Attributes of Online Banking Services by Small and Medium Enterprises Engaged in International Trade," South African Journal of Economics, Economic Society of South Africa, vol. 87(1), pages 65-81, March.
    4. Sandorf, Erlend Dancke & Campbell, Danny, 2016. "Accommodating satisficing behavior in stated choice experiments," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235905, Agricultural and Applied Economics Association.
    5. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M., 2018. "When does real become consequential in non-hypothetical choice experiments?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274040, Agricultural and Applied Economics Association.
    6. Uggeldahl, Kennet & Jacobsen, Catrine & Lundhede, Thomas Hedemark & Olsen, Søren Bøye, 2016. "Choice certainty in Discrete Choice Experiments: Will eye tracking provide useful measures?," Journal of choice modelling, Elsevier, vol. 20(C), pages 35-48.
    7. Tommaso M. Valletti & André Veiga, 2021. "Attention, Recall and Purchase: Experimental Evidence on Online News and Advertising," CESifo Working Paper Series 8991, CESifo.
    8. Dan Rigby & Caroline Vass & Katherine Payne, 2020. "Opening the ‘Black Box’: An Overview of Methods to Investigate the Decision-Making Process in Choice-Based Surveys," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 13(1), pages 31-41, February.
    9. Takahashi, Ryo & Todo, Yasuyuki & Funaki, Yukihiko, 2018. "How Can We Motivate Consumers to Purchase Certified Forest Coffee? Evidence From a Laboratory Randomized Experiment Using Eye-trackers," Ecological Economics, Elsevier, vol. 150(C), pages 107-121.
    10. Logar, Ivana & Brouwer, Roy & Campbell, Danny, 2020. "Does attribute order influence attribute-information processing in discrete choice experiments?," Resource and Energy Economics, Elsevier, vol. 60(C).
    11. Mandy Ryan & Nicolas Krucien & Frouke Hermens, 2018. "The eyes have it: Using eye tracking to inform information processing strategies in multi‐attributes choices," Health Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 709-721, April.
    12. Krajbich Ian & Smith Stephanie M., 2015. "Modeling Eye Movements and Response Times in Consumer Choice," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 13(1), pages 55-72, January.
    13. Nguyen, Manh-Hung & Nguyen, Thi Lan Anh & Nguyen, Tuan & Reynaud, Arnaud & Simioni, Michel & Hoang, Viet-Ngu, 2021. "Economic analysis of choices among differing measures to manage coastal erosion in Hoi An (a UNESCO World Heritage Site)," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 529-543.
    14. David Throsby & Anita Zednik & Jorge E. Araña, 2021. "Public preferences for heritage conservation strategies: a choice modelling approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 333-358, September.
    15. Fraser, Iain & Balcombe, Kelvin & Williams, Louis & McSorley, Eugene, 2021. "Preference stability in discrete choice experiments. Some evidence using eye-tracking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    16. Michel Wedel & Rik Pieters & Ralf Lans, 2023. "Modeling Eye Movements During Decision Making: A Review," Psychometrika, Springer;The Psychometric Society, vol. 88(2), pages 697-729, June.
    17. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, William George, 2018. "Types of front of pack food labels: Do obese consumers care? Evidence from Northern Ireland," Food Policy, Elsevier, vol. 80(C), pages 84-102.
    18. Leard, Benjamin, 2018. "Consumer inattention and the demand for vehicle fuel cost savings," Journal of choice modelling, Elsevier, vol. 29(C), pages 1-16.
    19. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    20. Sebastian Heidenreich & Verity Watson & Mandy Ryan & Euan Phimister, 2018. "Decision heuristic or preference? Attribute non‐attendance in discrete choice problems," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 157-171, January.
    21. Dudinskaya, Emilia Cubero & Naspetti, Simona & Zanoli, Raffaele, 2020. "Using eye-tracking as an aid to design on-screen choice experiments," Journal of choice modelling, Elsevier, vol. 36(C).
    22. Chavez, Daniel & Palma, Marco & Collart, Alba J., 2016. "Eye Tracking to Model Attribute Attendance," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230011, Southern Agricultural Economics Association.
    23. Zhang, Xumin & Khachatryan, Hayk & Gao, Zhifeng, 2020. "Using Mixed Logit Based Models to Control Attribute Nonattendance in Choice Experiments," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304547, Agricultural and Applied Economics Association.
    24. Edenbrandt, Anna Kristina & Lagerkvist, Carl-Johan & Lüken, Malte & Orquin, Jacob L., 2022. "Seen but not considered? Awareness and consideration in choice analysis," Journal of choice modelling, Elsevier, vol. 45(C).
    25. Renske J. Hoefman & Job Exel & Werner B. F. Brouwer, 2017. "Measuring Care-Related Quality of Life of Caregivers for Use in Economic Evaluations: CarerQol Tariffs for Australia, Germany, Sweden, UK, and US," PharmacoEconomics, Springer, vol. 35(4), pages 469-478, April.
    26. Blake, Miranda R. & Dubey, Subodh & Swait, Joffre & Lancsar, Emily & Ghijben, Peter, 2020. "An integrated modelling approach examining the influence of goals, habit and learning on choice using visual attention data," Journal of Business Research, Elsevier, vol. 117(C), pages 44-57.
    27. Caroline Vass & Dan Rigby & Kelly Tate & Andrew Stewart & Katherine Payne, 2018. "An Exploratory Application of Eye-Tracking Methods in a Discrete Choice Experiment," Medical Decision Making, , vol. 38(6), pages 658-672, August.
    28. Sandorf, Erlend Dancke & Crastes dit Sourd, Romain & Mahieu, Pierre-Alexandre, 2018. "The effect of attribute-alternative matrix displays on preferences and processing strategies," Journal of choice modelling, Elsevier, vol. 29(C), pages 113-132.
    29. Kemper, Nathan & Popp, Jennie & Nayga, Jr., Rodolfo M. & Bazzani, Claudia, 2024. "A Query Approach to Modeling Attendance to Attributes in Discrete Choice Experiments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Preprint), January.
    30. Genie, Mesfin G. & Ryan, Mandy & Krucien, Nicolas, 2021. "To pay or not to pay? Cost information processing in the valuation of publicly funded healthcare," Social Science & Medicine, Elsevier, vol. 276(C).
    31. Hongpeng Xu & Jing Li & Jianmei Wu & Jian Kang, 2019. "Evaluation of Wood Coverage on Building Facades Towards Sustainability," Sustainability, MDPI, vol. 11(5), pages 1-12, March.
    32. Shiwen Quan & Yinchu Zeng & Xiaohua Yu & Te Bao, 2018. "WTP for baby milk formula in China: Using attribute nonattendance as a priori information to select attributes in choice experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 300-320, March.
    33. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2018. "Inferring Attribute Non-Attendance Using Eye Tracking in Choice-Based Conjoint Analysis," Rationality and Competition Discussion Paper Series 111, CRC TRR 190 Rationality and Competition.
    34. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.
    35. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    36. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2020. "Inferring attribute non-attendance using eye tracking in choice-based conjoint analysis," Journal of Business Research, Elsevier, vol. 111(C), pages 290-304.
    37. Genius Murwirapachena & Johane Dikgang, 2022. "The effects of presentation formats in choice experiments," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(3), pages 421-445, July.
    38. Grebitus, Carola & Davis, George C., 2017. "Change is good!? Analyzing the relationship between attention and nutrition facts panel modifications," Food Policy, Elsevier, vol. 73(C), pages 119-130.
    39. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.
    40. Rakotonarivo, O. Sarobidy & Jacobsen, Jette B. & Larsen, Helle O. & Jones, Julia P.G. & Nielsen, Martin R. & Ramamonjisoa, Bruno S. & Mandimbiniaina, Rina H. & Hockley, Neal, 2017. "Qualitative and Quantitative Evidence on the True Local Welfare Costs of Forest Conservation in Madagascar: Are Discrete Choice Experiments a Valid ex ante Tool?," World Development, Elsevier, vol. 94(C), pages 478-491.
    41. Parveneh Shahnoori & Glenn P. Jenkins, 2015. "Value of E-Banking to Small and Medium-Sized Enterprises," Development Discussion Papers 2015-09, JDI Executive Programs.

  6. Balcombe, Kelvin George & Bitzios, Michael & Fraser, Iain & Haddock-Fraser, Janet, 2013. "Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152151, Australian Agricultural and Resource Economics Society.

    Cited by:

    1. Herring, Matthew W. & Garnett, Stephen T. & Zander, Kerstin K., 2022. "Producing rice while conserving the habitat of an endangered waterbird: Incentives for farmers to integrate water management," Land Use Policy, Elsevier, vol. 120(C).
    2. Harmsen - van Hout, Marjolein & Ghosh, Gaurav & Madlener, Reinhard, 2013. "An Evaluation of Attribute Anchoring Bias in a Choice Experimental Setting," FCN Working Papers 6/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    3. Kang, Moon Jeong & Siry, Jacek P. & Colson, Gregory & Ferreira, Susana, 2019. "Do forest property characteristics reveal landowners' willingness to accept payments for ecosystem services contracts in southeast Georgia, U.S.?," Ecological Economics, Elsevier, vol. 161(C), pages 144-152.
    4. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    5. Rebecca Owusu Coffie & Michael P. Burton & Fiona L. Gibson & Atakelty Hailu, 2016. "Choice of Rice Production Practices in Ghana: A Comparison of Willingness to Pay and Preference Space Estimates," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 799-819, September.
    6. Kyriakos Riskos & Paraskevi (Evi) Dekoulou & Naoum Mylonas & George Tsourvakas, 2021. "Ecolabels and the Attitude–Behavior Relationship towards Green Product Purchase: A Multiple Mediation Model," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    7. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    8. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
    9. Eeva ALHO, 2019. "Farmers’ Willingness To Invest In New Cooperative Instruments: A Choice Experiment," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 90(1), pages 161-186, March.
    10. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    11. Eeva Alho, 2017. "Attention to Risk and Return: Choice Experiment of the Stated and Inferred Use of Investment Attributes," Applied Economics and Finance, Redfame publishing, vol. 4(1), pages 43-52, January.
    12. Shiwen Quan & Yinchu Zeng & Xiaohua Yu & Te Bao, 2018. "WTP for baby milk formula in China: Using attribute nonattendance as a priori information to select attributes in choice experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 300-320, March.
    13. Hayk Khachatryan & Alicia L. Rihn & Benjamin Campbell & Chengyan Yue & Charles Hall & Bridget Behe, 2017. "Visual Attention to Eco-Labels Predicts Consumer Preferences for Pollinator Friendly Plants," Sustainability, MDPI, vol. 9(10), pages 1-14, September.
    14. Oyinbo, O. & Maertens, M. & Chamberlin, J. & Vanlauwe, B. & Craufurd, P. & Kamara, A., 2018. "Maize Farmers Preferences for ICT-based extension services: Evidence from a Choice Experiment in Nigeria," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277328, International Association of Agricultural Economists.

  7. Salois, Matthew J. & Tiffin, J. Richard & Balcombe, Kelvin George, 2011. "Impact of Income on Calorie and Nutrient Intakes: A Cross-Country Analysis," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103647, Agricultural and Applied Economics Association.

    Cited by:

    1. Smith, Lisa C., 2015. "The great Indian calorie debate: Explaining rising undernourishment during India’s rapid economic growth," Food Policy, Elsevier, vol. 50(C), pages 53-67.

  8. Balcombe, Kelvin & Tiffin, R, 2010. "The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage," MPRA Paper 25193, University Library of Munich, Germany.

    Cited by:

    1. Daniele Mozzato & Paola Gatto & Edi Defrancesco & Lucia Bortolini & Francesco Pirotti & Elena Pisani & Luigi Sartori, 2018. "The Role of Factors Affecting the Adoption of Environmentally Friendly Farming Practices: Can Geographical Context and Time Explain the Differences Emerging from Literature?," Sustainability, MDPI, vol. 10(9), pages 1-23, August.
    2. SOTO Iria & BARNES Andrew & BALAFOUTIS Athanasios & BECK Bert & SANCHEZ FERNANDEZ Berta & VANGEYTE Jurgen & FOUNTAS Spyros & VAN DER WAL Tamme & EORY Vera & GOMEZ BARBERO Manuel, 2019. "The contribution of precision agriculture technologies to farm productivity and the mitigation of greenhouse gas emissions in the EU," JRC Research Reports JRC112505, Joint Research Centre.
    3. Sirkka Schukat & Heinke Heise, 2021. "Towards an Understanding of the Behavioral Intentions and Actual Use of Smart Products among German Farmers," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    4. Zdenka MALÁ & Michal MALÝ, 2013. "The determinants of adopting organic farming practices: a case study in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(1), pages 19-28.
    5. Dmytro Serebrennikov & Fiona Thorne & Zein Kallas & Sinéad N. McCarthy, 2020. "Factors Influencing Adoption of Sustainable Farming Practices in Europe: A Systemic Review of Empirical Literature," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
    6. Payne-Gifford, Sophie & Johnson, Kate & Mauchline, Alice & Gadanakis, Yiorgos & Girling, Laura & Mortimer, Simon, 2020. "Exploring attitudes to technology adoption for cross compliance in Greek and Lithuanian farmers," Land, Farm & Agribusiness Management Department 308133, Harper Adams University, Land, Farm & Agribusiness Management Department.
    7. Wun-Ji JIANG & Yir-Hueih LUH, 2018. "Does higher food safety assurance bring higher returns? Evidence from Taiwan," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(11), pages 477-488.
    8. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
    9. Djokoto, Justice Gameli & Afari-Sefa, Victor, 2017. "Alternative functional forms for technology choice: Application to cocoa production technologies," Technology in Society, Elsevier, vol. 50(C), pages 110-120.
    10. Giua, Carlo & Materia, Valentina Cristiana & Camanzi, Luca, 2022. "Smart farming technologies adoption: Which factors play a role in the digital transition?," Technology in Society, Elsevier, vol. 68(C).
    11. Emileva, Begaiym & Kuhn, Lena & Bobojonov, Ihtiyor & Glauben, Thomas, 2023. "The role of smartphone-based weather information acquisition on climate change perception accuracy: Cross-country evidence from Kyrgyzstan, Mongolia and Uzbekistan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 41, pages 1-1.
    12. Bartosz Bartkowski & Stephan Bartke, 2018. "Leverage Points for Governing Agricultural Soils: A Review of Empirical Studies of European Farmers’ Decision-Making," Sustainability, MDPI, vol. 10(9), pages 1-27, September.
    13. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    14. Payne-Gifford, Sophie & Johnson, Kate & Mauchline, Alice & Gadanakis, Yiorgos & Girling, Laura & Mortimer, Simon, 2020. "Exploring attitudes to technology adoption for cross compliance in Greek and Lithuanian farmers," Agri-Tech Economics Papers 308133, Harper Adams University, Land, Farm & Agribusiness Management Department.

  9. Salois, Matthew & Tiffin, Richard & Balcombe, Kelvin, 2010. "Calorie and Nutrient Consumption as a Function of Income: A Cross-Country Analysis," MPRA Paper 24726, University Library of Munich, Germany.

    Cited by:

    1. Phiri, Andrew & Dube, Wisdom, 2014. "Nutrition and economic growth in South Africa: A momentum threshold autoregressive (MTAR) approach," MPRA Paper 52950, University Library of Munich, Germany.
    2. Naveed Hayat & Ghulam Mustafa & Bader Alhafi Alotaibi & Abou Traore, 2022. "Nutritional Demand and Consumption Pattern: A Case Study of Pakistan," Sustainability, MDPI, vol. 14(12), pages 1-21, June.

  10. Areal, Francisco J & Tiffin, Richard & Balcombe, Kelvin, 2010. "Provision of an environmental output within a multi-output distance function approach," MPRA Paper 25051, University Library of Munich, Germany.

    Cited by:

    1. Weltin, Meike & Hüttel, Silke, 2019. "Farm eco-efficiency: Can sustainable intensification make the difference?," FORLand Working Papers 10 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    2. Meike Weltin & Silke Hüttel, 2023. "Sustainable Intensification Farming as an Enabler for Farm Eco-Efficiency?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 315-342, January.
    3. Jerzy Marzec & Andrzej Pisulewski, 2015. "Analysis of the Economic Activity of Dairy Farms in Poland: Results obtained from the Short-run Cost Function," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 167-182.
    4. Ang, Frederic & Oude Lansink, Alfons, 2014. "Dynamic profit inefficiency: a DEA application to Belgian dairy farms," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182649, European Association of Agricultural Economists.
    5. Ang, Frederic & Mortimer, Simon & Areal, Francisco & Tiffin, Richard, 2015. "The Impact of Dynamic Profit Maximization on Biodiversity: A Network DEA Application to UK Cereal Farms," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205857, Agricultural and Applied Economics Association.
    6. Juan Aparicio & Magdalena Kapelko & Lidia Ortiz, 2021. "Modelling environmental inefficiency under a quota system," Operational Research, Springer, vol. 21(2), pages 1097-1124, June.
    7. Tomasz Gerard Czekaj, 2013. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Parametric and Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," IFRO Working Paper 2013/21, University of Copenhagen, Department of Food and Resource Economics.
    8. Barnes, Andrew Peter, 2012. "A method for constructing an index of sustainable intensification within the developed country context," Working Papers 131466, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    9. Areal, Francisco J. & Jones, Philip J. & Mortimer, Simon R. & Wilson, Paul, 2018. "Measuring sustainable intensification: Combining composite indicators and efficiency analysis to account for positive externalities in cereal production," Land Use Policy, Elsevier, vol. 75(C), pages 314-326.
    10. Francisco J. Areal & Wantao Yu & Kevin Tansey & Jiahuan Liu, 2022. "Measuring Sustainable Intensification Using Satellite Remote Sensing Data," Sustainability, MDPI, vol. 14(3), pages 1-13, February.
    11. Lisandro Roco & Boris Bravo-Ureta & Alejandra Engler & Roberto Jara-Rojas, 2017. "The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach," Sustainability, MDPI, vol. 9(9), pages 1-16, September.
    12. Czekaj, Tomasz G., 2015. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," 2015 Conference, August 9-14, 2015, Milan, Italy 211555, International Association of Agricultural Economists.
    13. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.
    14. Frederic Ang & Simon M. Mortimer & Francisco J. Areal & Richard Tiffin, 2018. "On the Opportunity Cost of Crop Diversification," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 794-814, September.

  11. Areal, Francisco J & Balcombe, Kelvin & Tiffin, R, 2010. "Integrating spatial dependence into stochastic frontier analysis," MPRA Paper 24961, University Library of Munich, Germany.

    Cited by:

    1. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    2. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    3. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    4. Dragan Milić & Tihomir Novaković & Dragana Tekić & Bojan Matkovski & Danilo Đokić & Stanislav Zekić, 2023. "Economic Sustainability of the Milk and Dairy Supply Chain: Evidence from Serbia," Sustainability, MDPI, vol. 15(21), pages 1-21, October.
    5. Mamiit, Rusyan Jill & Yanagida, John & Villanueva, Donald, 2020. "Farm locations and dwelling clusters: Do they make production and technical efficiency spatially contagious?," Food Policy, Elsevier, vol. 92(C).
    6. Jacopo Canello & Francesco Vidoli, 2020. "Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 653-676, September.
    7. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    8. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
    9. Javier García-Gudiño & Elena Angón & Isabel Blanco-Penedo & Florence Garcia-Launay & José Perea, 2022. "Targeting Environmental and Technical Parameters through Eco-Efficiency Criteria for Iberian Pig Farms in the dehesa Ecosystem," Agriculture, MDPI, vol. 13(1), pages 1-15, December.
    10. Ang, Frederic & Jan Kerstens, Pieter, 2016. "To mix or specialise? A coordination productivity indicator for English and Welsh farms," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236337, Agricultural Economics Society.
    11. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    12. Thomas Graaff, 2020. "On the estimation of spatial stochastic frontier models: an alternative skew-normal approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 267-285, April.
    13. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    14. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    15. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
    16. Villanueva, Donald B. & Pede, Valerien O. & Rodriguez, U-Primo E. & Sumalde, Zenaida M. & Garcia, Yolanda T., 2017. "Assessment of Neighborhood and Spillover Effects on Technical Efficiency of Irrigated Rice Farmers," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 14(2), December.
    17. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2020. "Spatial competition and efficiency: an investigation in the airport sector," The Warwick Economics Research Paper Series (TWERPS) 1287, University of Warwick, Department of Economics.
    18. Yuan, Lingran & Zhang, Qizheng & Wang, Shuo & Hu, Weibin & Gong, Binlei, 2022. "Effects of international trade on world agricultural production and productivity: evidence from a panel of 126 countries 1962-2014," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(2), March.
    19. Adjin, K. Christophe & Henning, Christian H. C. A., 2020. "Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture," Working Papers of Agricultural Policy WP2020-09, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    20. Skevas, Ioannis, 2020. "Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms," European Journal of Operational Research, Elsevier, vol. 283(1), pages 356-364.
    21. Jerzy Marzec & Andrzej Pisulewski, 2021. "Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 152-161.
    22. Omotuyole Isiaka Ambali & Francisco Jose Areal & Nikolaos Georgantzis, 2021. "On Spatially Dependent Risk Preferences: The Case of Nigerian Farmers," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    23. Kevin Schneider & Ioannis Skevas & Alfons Oude Lansink, 2021. "Spatial Spillovers on Input‐specific Inefficiency of Dutch Arable Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 224-243, February.
    24. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
    25. Yiorgos Gadanakis & Francisco José Areal, 2020. "Accounting for rainfall and the length of growing season in technical efficiency analysis," Operational Research, Springer, vol. 20(4), pages 2583-2608, December.
    26. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2021. "The spatial dimension of competition among airports at the worldwide level: a spatial stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 295(1), pages 118-130.
    27. Sadick Mohammed & Awudu Abdulai, 2022. "Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana," Journal of Productivity Analysis, Springer, vol. 58(2), pages 109-128, December.
    28. Omotuyole Isiaka Ambali & Francisco Jose Areal & Nikolaos Georgantzis, 2021. "Improved Rice Technology Adoption: The Role of Spatially-Dependent Risk Preference," Agriculture, MDPI, vol. 11(8), pages 1-13, July.
    29. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    30. Laureti, Tiziana & Benedetti, Ilaria & Branca, Giacomo, 2021. "Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    31. Francisco J. Areal & Wantao Yu & Kevin Tansey & Jiahuan Liu, 2022. "Measuring Sustainable Intensification Using Satellite Remote Sensing Data," Sustainability, MDPI, vol. 14(3), pages 1-13, February.
    32. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    33. Fusco, Elisa & Allegrini, Veronica, 2020. "The role of spatial interdependence in local government cost efficiency: An application to waste Italian sector," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    34. Vidoli, Francesco & Canello, Jacopo, 2016. "Controlling for spatial heterogeneity in nonparametric efficiency models: An empirical proposal," European Journal of Operational Research, Elsevier, vol. 249(2), pages 771-783.
    35. Cavalieri, M.; Di Caro, P.; Guccio, C.; Lisi, D.;, 2017. "Does neighbour’s grass matter? Exploring spatial dependent heterogeneity in technical efficiency of Italian hospitals," Health, Econometrics and Data Group (HEDG) Working Papers 17/13, HEDG, c/o Department of Economics, University of York.
    36. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    37. Theodoros Skevas & Jasper Grashuis, 2020. "Technical efficiency and spatial spillovers: Evidence from grain marketing cooperatives in the US Midwest," Agribusiness, John Wiley & Sons, Ltd., vol. 36(1), pages 111-126, January.
    38. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    39. A. G. Billé & C. Salvioni & R. Benedetti, 2018. "Modelling spatial regimes in farms technologies," Journal of Productivity Analysis, Springer, vol. 49(2), pages 173-185, June.
    40. MCarmen Martínez†Victoria & Mariluz Maté Sánchez†Val & Narciso Arcas†Lario, 2018. "Spatial determinants of productivity growth on agri†food Spanish firms: a comparison between cooperatives and investor†owned firms," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 213-223, March.
    41. Cavalieri, Marina & Di Caro, Paolo & Guccio, Calogero & Lisi, Domenico, 2020. "Does neighbours' grass matter? Testing spatial dependent heterogeneity in technical efficiency of Italian hospitals," Social Science & Medicine, Elsevier, vol. 265(C).
    42. Vidoli, Francesco & Cardillo, Concetta & Fusco, Elisa & Canello, Jacopo, 2016. "Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 153-164.

  12. Kelvin Balcombe & Aurelia Samuel & Iain Fraser, 2009. "Estimating WTP With Uncertainty Choice Contingent Valuation," Studies in Economics 0921, School of Economics, University of Kent.

    Cited by:

    1. Pierre-Alexandre Mahieu & Pere Riera & Bengt Kriström & Runar Brännlund & Marek Giergiczny, 2014. "Exploring the determinants of uncertainty in contingent valuation surveys," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 3(2), pages 186-200, July.
    2. Kehlbacher, A. & Bennett, R. & Balcombe, K., 2012. "Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling," Food Policy, Elsevier, vol. 37(6), pages 627-633.

  13. Kelvin Balcombe & Iain Fraser, 2009. "A General Treatment of Non-Response Data From Choice Experiments Using Logit Models," Studies in Economics 0916, School of Economics, University of Kent.

    Cited by:

    1. Balcombe, Kelvin & Bradley, Dylan & Fraser, Iain & Hussein, Mohamud, 2016. "Consumer preferences regarding country of origin for multiple meat products," Food Policy, Elsevier, vol. 64(C), pages 49-62.

  14. Kelvin Balcombe & Iain Fraser & Salvatore Di Falco, 2009. "Traffic Lights and Food Choice: A Choice Experiment Examining the Relationship Between Nutritional Food Labels and Price," Studies in Economics 0915, School of Economics, University of Kent.

    Cited by:

    1. Kelvin Balcombe & Michail Bitzios & Iain Fraser & Janet Haddock-Fraser, 2014. "Using Attribute Importance Rankings Within Discrete Choice Experiments: An Application to Valuing Bread Attributes," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 446-462, June.
    2. Seda Erdem & Danny Campbell & Tony McCarthy, 2022. "Can traffic light labelling nudge heuristical decision processes?," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(1), pages 37-45, December.
    3. Laurent Muller & Anne Lacroix & Bernard Ruffieux, 2019. "Environmental labelling and consumption changes: A food choice experiment," Post-Print hal-02065189, HAL.
    4. Balcombe, Kelvin & Bradley, Dylan & Fraser, Iain & Hussein, Mohamud, 2016. "Consumer preferences regarding country of origin for multiple meat products," Food Policy, Elsevier, vol. 64(C), pages 49-62.
    5. Xavier IRZ & Mario MAZZOCCHI & Vincent RÉQUILLART & Louis-Georges SOLER, 2015. "Research in Food Economics: past trends and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 96(1), pages 187-237.
    6. Kelvin Balcombe & Dylan Bradley & Iain Fraser, 2021. "Do Consumers Really Care? An Economic Analysis of Consumer Attitudes Towards Food Produced Using Prohibited Production Methods," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 452-469, June.
    7. Defago, Daniel & Geng, José F. & Molina, Oswaldo & Santa María, Diego, 2017. "Digestible information: The impact of Multiple Traffic Light nutritional labeling in a developing country," MPRA Paper 79678, University Library of Munich, Germany.
    8. Alessia CAVALIERE & Elisa DE MARCHI & Alessandro BANTERLE, 2013. "Time preference and health: the problem of obesity," Departmental Working Papers 2013-13, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    9. Carlsson, Fredrik & Kataria, Mitesh & Lampi, Elina, 2021. "Sustainable food: can food labels make consumers switch to meat substitutes?," Working Papers in Economics 816, University of Gothenburg, Department of Economics.
    10. Yu Na Lee & Laura Stortz & Mike von Massow & Christopher Kimmerer, 2023. "Impact of ‘‘high in” front‐of‐package nutrition labeling on food choices: Evidence from a grocery shopping experiment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(3-4), pages 277-301, September.
    11. Erdem, Seda & McCarthy, Tony, 2016. "The effect of front-of-pack nutrition labelling formats on consumers’ food choices and decision-making: merging discrete choice experiment with an eye tracking experiment," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235864, Agricultural and Applied Economics Association.
    12. Allen, S. & Goddard, E., 2018. "The Effectiveness of High Sugar Warning Labels on Breakfast Cereals," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275885, International Association of Agricultural Economists.
    13. Becker, Mark W. & Bello, Nora M. & Sundar, Raghav P. & Peltier, Chad & Bix, Laura, 2015. "Front of pack labels enhance attention to nutrition information in novel and commercial brands," Food Policy, Elsevier, vol. 56(C), pages 76-86.
    14. Onozaka, Yuko & Lind Melbye, Elisabeth & Hansen, Havard, 2012. "What If You Stop and Think About it? Nutrition Logos and Product Selection Behavior," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124874, Agricultural and Applied Economics Association.
    15. Laurent Muller & Bernard Ruffieux, 2020. "Shopper’s behavioural responses to ‘front-of-pack’ nutrition logo formats: GDA Diet-Logo vs. 6 alternative Choice-Logos," Working Papers hal-02479464, HAL.
    16. Debra Van Camp & Diogo M. de Souza Monteiro & Neal H. Hooker, 2012. "Stop or go? How is the UK food industry responding to front-of-pack nutrition labels?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(5), pages 821-842, December.
    17. Dumitraşcu Luminița-Mihaela, 2021. "Comparative study of front-of-pack nutrition labels at global level, a social responsibility issue," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 1135-1149, December.
    18. Berning, Joshua P. & Sprott, David E., 2011. "Examining the Effectiveness of Nutrition Information in a Simulated Shopping Environment," Journal of Food Distribution Research, Food Distribution Research Society, vol. 42(3), pages 1-17, November.
    19. Edenbrandt, Anna Kristina & Smed, Sinne, 2018. "Exploring the correlation between self-reported preferences and actual purchases of nutrition labeled products," Food Policy, Elsevier, vol. 77(C), pages 71-80.
    20. Hellyer, Nicole Elizabeth & Fraser, Iain & Haddock-Fraser, Janet, 2012. "Food choice, health information and functional ingredients: An experimental auction employing bread," Food Policy, Elsevier, vol. 37(3), pages 232-245.
    21. Manon Egnell & Paolo Crosetto & Tania D’almeida & Emmanuelle Kesse-Guyot & Mathilde Touvier & Bernard Ruffieux & Serge Hercberg & Laurent Muller & Chantal Julia, 2019. "Modelling the impact of different front-of-package nutrition labels on mortality from non-communicable chronic disease," Post-Print hal-02190212, HAL.
    22. Stephan S. Marette & L. Nabec & F. Durieux, 2019. "Improving Nutritional Quality of Consumers’ Food Purchases With Traffic-Lights Labels: An Experimental Analysis [Améliorer la qualité nutritionnelle des achats alimentaires des consommateurs avec d," Post-Print hal-02623554, HAL.
    23. Sauthoff, Saramena & Danne, Michael & Mußhoff, Oliver, 2017. "To switch or not to switch? Understanding German consumers' willingness to pay for green electricity tariff attributes," DARE Discussion Papers 1707, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    24. Jo, Jisung & Lusk, Jayson & Muller, Laurent & Ruffieux, Bernard, 2016. "Value of parsimonious nutritional information in a framed field experiment," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235476, Agricultural and Applied Economics Association.
    25. Pallante, Giacomo & Drucker, Adam G. & Sthapit, Sajal, 2016. "Assessing the potential for niche market development to contribute to farmers' livelihoods and agrobiodiversity conservation: Insights from the finger millet case study in Nepal," Ecological Economics, Elsevier, vol. 130(C), pages 92-105.
    26. Paolo Crosetto & Anne Lacroix & Laurent Muller & Bernard Ruffieux, 2018. "Nutritional and economic impact of 5 alternative front-of-pack nutritional labels: experimental evidence," Working Papers hal-01805431, HAL.
    27. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, William George, 2018. "Types of front of pack food labels: Do obese consumers care? Evidence from Northern Ireland," Food Policy, Elsevier, vol. 80(C), pages 84-102.
    28. Kelvin Balcombe & Dylan Bradley & Iain Fraser, 2020. "The Economic Analysis of Consumer Attitudes Towards Food Produced Using Prohibited Production Methods: Do Consumers Really Care?," Studies in Economics 2004, School of Economics, University of Kent.
    29. Zhu, Zhanguo & Zhang, Tong & Hu, Wuyang, 2023. "The accumulation and substitution effects of multi-nation certified organic and protected eco-origin food labels in China," Ecological Economics, Elsevier, vol. 203(C).
    30. Aaron M. Shew & Heather A. Snell & Rodolfo M. Nayga & Mary C. Lacity, 2022. "Consumer valuation of blockchain traceability for beef in the United States," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 299-323, March.
    31. Cavaliere, Alessia & De Marchi, Elisa & Banterle, Alessandro, 2013. "Time Preference and Health: The Problem of Obesity," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164754, International European Forum on System Dynamics and Innovation in Food Networks.
    32. Lelia Voinea & Diana Maria Vrânceanu & Alina Filip & Dorin Vicențiu Popescu & Teodor Mihai Negrea & Răzvan Dina, 2019. "Research on Food Behavior in Romania from the Perspective of Supporting Healthy Eating Habits," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    33. Boeri, Marco & Brown, Hannah & Longo, Alberto, 2014. "The implications across Europe of the ‘horse meat scandal’ on the monetary value of meat authenticity and food safety in ready to heat lasagne: evidence from six countries," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182830, European Association of Agricultural Economists.
    34. De Salvo, Maria & Scarpa, Riccardo & Capitello, Roberta & Begalli, Diego, 2020. "Multi-country stated preferences choice analysis for fresh tomatoes," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(3), December.
    35. Michalopoulos, T. & Hogeveen, H. & Heuvelink, E. & Oude Lansink, A.G.J.M., 2013. "Public multi-criteria assessment for societal concerns and gradual labelling," Food Policy, Elsevier, vol. 40(C), pages 97-108.
    36. Muller, L. & Ruffieux, B., 2020. "Shopper’s behavioural responses to ‘front-of-pack’ nutrition logo formats: GDA Diet-Logo vs. 6 alternative Choice-Logos," Working Papers 2020-01, Grenoble Applied Economics Laboratory (GAEL).
    37. D. Fang & R. M. Nayga & H. A. Snell & G. H. West & C. Bazzani, 2019. "Evaluating USA’s New Nutrition and Supplement Facts Label: Evidence from a Non-hypothetical Choice Experiment," Journal of Consumer Policy, Springer, vol. 42(4), pages 545-562, December.
    38. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, George, "undated". "Front of Pack Food Labels and dietary choice determinants: what works and for whom?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261225, Agricultural and Applied Economics Association.
    39. Carlsson, Fredrik & Kataria, Mitesh & Lampi, Elina, 2022. "Sustainable food: Can information from food labels make consumers switch to meat substitutes?," Ecological Economics, Elsevier, vol. 201(C).
    40. Wang, Emily Y. & Wei, Hongli & Caswell, Julie A., 2016. "The impact of mandatory trans fat labeling on product mix and consumer choice: A longitudinal analysis of the U.S. Market for margarine and spreads," Food Policy, Elsevier, vol. 64(C), pages 63-81.
    41. Abhijit Sharma & Salvatore Falco & Iain Fraser, 2019. "Consumption of salt rich products: impact of the UK reduced salt campaign," International Journal of Health Economics and Management, Springer, vol. 19(3), pages 341-357, December.
    42. Jacobson, Michael & Shr, Yau-Huo & Dalemans, Floris & Magaju, Christine & Ciannella, Rodrigo, 2018. "Using a choice experiment approach to assess production tradeoffs for developing the croton value chain in Kenya," Forest Policy and Economics, Elsevier, vol. 86(C), pages 76-85.
    43. Pomeranz, Jennifer L. & Wilde, Parke & Mozaffarian, Dariush & Micha, Renata, 2019. "Mandating front-of-package food labels in the U.S. – What are the First Amendment obstacles?," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    44. Andy Grinnall & Simon Burnett, 2015. "First Catch Your Fish: Designing a “Low Energy Fish” Label," Sustainability, MDPI, vol. 7(5), pages 1-16, May.
    45. Hoefkens, Christine & Veettil, Prakashan Chellattan & Van Huylenbroeck, Guido & Van Camp, John & Verbeke, Wim, 2012. "What nutrition label to use in a catering environment? A discrete choice experiment," Food Policy, Elsevier, vol. 37(6), pages 741-750.
    46. Øvrum, Arnstein & Alfnes, Frode & Almli, Valérie L. & Rickertsen, Kyrre, 2012. "Health information and diet choices: Results from a cheese experiment," Food Policy, Elsevier, vol. 37(5), pages 520-529.
    47. Cerroni, S. & Watson, V. & Macdiarmid, J., 2018. "Preferences for healthy and environmentally sustainable food: Combining induced-value and home-grown experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277155, International Association of Agricultural Economists.
    48. Balcombe, Kelvin & Bradley, Dylan & Fraser, Iain, 2022. "Consumer preferences for chlorine-washed chicken, attitudes to Brexit and implications for future trade agreements," Food Policy, Elsevier, vol. 111(C).
    49. Balogh, Péter & Békési, Dániel & Gorton, Matthew & Popp, József & Lengyel, Péter, 2016. "Consumer willingness to pay for traditional food products," Food Policy, Elsevier, vol. 61(C), pages 176-184.
    50. Y. Gómez & V. Martínez-Molés & J. Vila, 2016. "Spanish regulation for labeling of financial products: a behavioral-experimental analysis," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(3), pages 355-378, December.
    51. Angela Tarabella & Lelia Voinea, 2013. "Advantages and Limitations of the Front-of-Package (FOP) Labeling Systems in Guiding the Consumers’ Healthy Food Choice," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 198-209, February.
    52. Luminiţa-Mihaela Dumitraşcu & Dumitru-Florin Moise, 2021. "Social Responsibility In Food Industry," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 203-211, July.
    53. Spinks, Jean & Mortimer, Duncan, 2015. "The effect of traffic lights and regulatory statements on the choice between complementary and conventional medicines in Australia: Results from a discrete choice experiment," Social Science & Medicine, Elsevier, vol. 124(C), pages 257-265.

  15. Balcombe, Kelvin, 2009. "The Nature and Determinants of Volatility in Agricultural Prices," MPRA Paper 24819, University Library of Munich, Germany.

    Cited by:

    1. Hazrana, Jaweriah & Kishore, Avinash & Roy, Devesh, 2020. "Supply response of staple food crops in the presence of policy distortions: Some evidence from India," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304490, Agricultural and Applied Economics Association.
    2. Listorti, Giulia & Esposti, Roberto, 2012. "Horizontal Price Transmission in Agricultural Markets: Fundamental Concepts and Open Empirical Issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-28, April.
    3. Elodie Maître d'Hôtel & Tristan Le Cotty & Thomas Jayne, 2012. "Is a public regulation of food price volatility feasible in Africa? An arch approach in Kenya," Post-Print hal-00801361, HAL.
    4. Roehlano M. Briones & Jesus Felipe, 2016. "Agriculture and Structural Transformation in Developing Asia: Review and Outlook," Working Papers id:8696, eSocialSciences.
    5. Areal, Francisco J. & Balcombe, Kelvin G. & Rapsomanikis, George, 2014. "Testing for bubbles in agricultural commodity markets," ESA Working Papers 288981, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    6. Deborah Bentivoglio & Adele Finco & Mirian Rumenos Piedade Bacchi, 2016. "Interdependencies between Biofuel, Fuel and Food Prices: The Case of the Brazilian Ethanol Market," Energies, MDPI, vol. 9(6), pages 1-16, June.
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    13. Alexandros SARRIS, 2014. "Options for Developing Countries to Deal with Global Food Commodity Market Volatility," Working Papers P98, FERDI.
    14. Xiarchos, Irene M. & Burnett, J. Wesley & Kucher, Oleg, 2012. "Energy and Speculation: New Dynamics in Agricultural Commodity Price Volatility," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124788, Agricultural and Applied Economics Association.
    15. Kornher, Lukas & Kalkuhl, Matthias, 2013. "Food Price Volatility in Developing Countries and its Determinants," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(4), pages 1-32, November.
    16. Bakucs, Lajos Zoltan & Jambor, Attila, 2014. "Consumer price volatility in the New Member States: Insights from the agri-food sector," 142nd Seminar, May 29-30, 2014, Budapest, Hungary 169793, European Association of Agricultural Economists.
    17. Luna Méndez, Nexeai & Jaramillo Villanueva, José Luis & Ramírez Juárez, Javier, 2016. "Factores explicativos de la disposición a pagar por atributos culturales en nuez de Castilla," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 16(01), June.
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    19. Elodie Maître d'Hôtel & Tristan Le Cotty & Thom Jayne, 2013. "Trade Policy Inconsistency and Maize Price Volatility: An ARCH Approach in Kenya," Post-Print hal-00946226, HAL.
    20. Saghaian, Sayed & Nemati, Mehdi & Walters, Cory & Chen, Bo, 2018. "Asymmetric Price Volatility Transmission between U.S. Biofuel, Corn, and Oil Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    21. Tangermann, Stefan, 2011. "Policy Solutions to Agricultural Market Volatility: A Synthesis," Price Volatility and Beyond 320209, International Centre for Trade and Sustainable Development (ICTSD).
    22. Helmut Herwartz & Alberto Saucedo, 2020. "Food–oil volatility spillovers and the impact of distinct biofuel policies on price uncertainties on feedstock markets," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 387-402, May.
    23. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
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    25. Cezary Klimkowski, 2015. "Changes in selected polish agricultural price volatility," International Conference on Competitiveness of Agro-food and Environmental Economy Proceedings, The Bucharest University of Economic Studies, vol. 4, pages 86-95.
    26. Phillip A. Cartwright & Natalija Riabko, 2016. "Further evidence on the explanatory power of spot food and energy commodities market prices for futures prices," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 579-605, October.
    27. Caramugan, Karlo Martin & Bayacag, Purisima, 2016. "Price Bubble in Selected ASEAN Agricultural Exports: An Application of the Generalized Supremum Augmented Dickey Fuller," MPRA Paper 74807, University Library of Munich, Germany.
    28. Daria Loginova & Marco Portmann & Martin Huber, 2021. "Assessing the Effects of Seasonal Tariff‐rate Quotas on Vegetable Prices in Switzerland," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 607-627, June.
    29. Agie Wandala Putra & Jatna Supriatna & Raldi Hendro Koestoer & Tri Edhi Budhi Soesilo, 2021. "Differences in Local Rice Price Volatility, Climate, and Macroeconomic Determinants in the Indonesian Market," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    30. Tharcisse NKUNZIMANA & François Kayitakire, 2013. "Measuring food price volatility and transmission in West Africa: How important are magnitudes of transmission across cereals and countries?," EcoMod2013 5219, EcoMod.
    31. Matthias Kalkuhl & Lukas Kornher & Matthias Kalkuhl & Irfan Mujahid, 2015. "Food price volatility in developing countries – the role of trade and storage," EcoMod2015 8415, EcoMod.
    32. Dagmar Matošková, 2011. "Volatility of agrarian markets aimed at the price development," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(1), pages 35-40.
    33. Emiliano Magrini & Ayca Donmez, 2013. "Agricultural Commodity Price Volatility and Its Macroeconomic Determinants: A GARCH-MIDAS Approach," JRC Research Reports JRC84138, Joint Research Centre.
    34. Philip Abbott, 2014. "Biofuels, Binding Constraints, and Agricultural Commodity Price Volatility," NBER Chapters, in: The Economics of Food Price Volatility, pages 91-131, National Bureau of Economic Research, Inc.
    35. Massimo Peri, 2017. "Climate variability and the volatility of global maize and soybean prices," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 673-683, August.
    36. Abdelradi, Fadi & Serra, Teresa, 2015. "Food–energy nexus in Europe: Price volatility approach," Energy Economics, Elsevier, vol. 48(C), pages 157-167.
    37. Troester, Bernhard & Staritz, Cornelia, 2013. "Fundamentals or financialisation of commodity markets: What determines recent wheat prices?," Working Papers 43, Austrian Foundation for Development Research (ÖFSE).
    38. Hugo Ferrer-Pérez & Fadi Abdelradi & José M. Gil, 2020. "Geographical Indications and Price Volatility Dynamics of Lamb Prices in Spain," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    39. Ott, Herve, 2012. "Which factors drive which volatility in the grain sector?," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122486, European Association of Agricultural Economists.
    40. Alexandros SARRIS, 2014. "Options for Developing Countries to Deal with Global Food Commodity Market Volatility," Working Papers P98, FERDI.
    41. Ojogho, Osaihiomwan & Egware, Robert Awotu, 2015. "Price Generating Process And Volatility In Nigerian Agricultural Commodities Market," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(4), pages 1-10, October.
    42. Loginova, Daria, 2022. "Assessing the Short-term Effect of Exchange Rate Liberalisation on Food Import Prices: The Regression Discontinuity in Time Employed for Russian Food Markets in 2014," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 3(3), September.
    43. Geronimi, Vincent & Taranco, Armand, 2018. "Revisiting the Prebisch-Singer hypothesis of a secular decline in the terms of trade of primary commodities (1900–2016). A dynamic regime approach," Resources Policy, Elsevier, vol. 59(C), pages 329-339.
    44. Kelbore, Zerihun Getachew, 2013. "A Comparison of World and Domestic Price Volatilities of Oilseeds: Evidence from Ethiopia," MPRA Paper 62816, University Library of Munich, Germany, revised 15 Apr 2015.
    45. Alexandros Sarris, 2014. "Trade, food and welfare," Chapters, in: Raghbendra Jha & Raghav Gaiha & Anil B. Deolalikar (ed.), Handbook on Food, chapter 13, pages 325-352, Edward Elgar Publishing.
    46. Serra, Teresa, 2012. "Biofuel-related price volatility literature: a review and new approaches," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126057, International Association of Agricultural Economists.
    47. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2016. "Financial Markets and Agricultural Commodities: Volatility Impulse Response Analysis," 2016 International European Forum (151st EAAE Seminar), February 15-19, 2016, Innsbruck-Igls, Austria 244461, International European Forum on System Dynamics and Innovation in Food Networks.

  16. Kelvin Balcombe & Iain Mcpherson Fraser & Laure Latruffe & Mizanur Rahman & Laurence Smith, 2008. "An Application of the DEA Double Bootstrap to Examine Sources of Efficiency in Bangladesh Rice Farming," Post-Print hal-00582068, HAL.

    Cited by:

    1. Bannor, Frank & Dikgang, Johane & Gelo, Dambala, 2021. "Agricultural total factor productivity growth, technical efficiency, and climate variability in sub-Saharan Africa," EconStor Preprints 231310, ZBW - Leibniz Information Centre for Economics.
    2. Tomasz Żyłowski & Jerzy Kozyra, 2023. "Crop Cultivation Efficiency and GHG Emission: SBM-DEA Model with Undesirable Output Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, July.
    3. Maria Giovanna BRANDANO & Claudio DETOTTO & Marco VANNINI, 2019. "Comparative Efficiency Of Agricultural Cooperatives And Conventional Firms In A Sample Of Quasi‐Twin Companies," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 90(1), pages 53-76, March.
    4. Mita Bagchi & Sanzidur Rahman & Yao Shunbo, 2019. "Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)," Economies, MDPI, vol. 7(2), pages 1-16, May.
    5. Stephen Hynes & Ingrid Mateo-Mantecón & Eamonn O’Connor & Andreas Tsakiridis, 2020. "Relative size and technical efficiency in peripheral port markets: evidence from Irish and North Atlantic Spanish ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(3), pages 383-402, September.
    6. Douarin, Elodie & Latruffe, Laure, 2010. "Potential impact of the EU Single Area Payment on farm restructuring and efficiency in Lithuania," Working Papers 210384, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    7. Yonas T. Bahta & Henry Jordaan & Gunda Sabastain, 2020. "Agricultural Management Practices and Factors Affecting Technical Efficiency in Zimbabwe Maize Farming," Agriculture, MDPI, vol. 10(3), pages 1-14, March.
    8. Hynes, S. & Mateo-Mantecón, I. & O’Connor, E. & Tsakiridis, A., 2019. "Examining the relationship between relative size and technical efficiency in peripheral port markets: Evidence from Irish and North Atlantic Spanish ports," Working Papers 309603, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    9. Xiangxiang Sun & Lawrence Loh, 2019. "Sustainability Governance in China: An Analysis of Regional Ecological Efficiency," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    10. Abou Moussa DIENG & Amadé NACANABO, 2022. "Perception des agriculteurs sur les chocs climatiques et efficience de la production agricole au Burkina Faso," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 55, pages 55-73.
    11. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2012. "Productivity and Subsidies in the European Union: An Analysis for Dairy Farms Using Input Distance Frontiers," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126846, International Association of Agricultural Economists.
    12. Douarin, Elodie & Latruffe, Laure, 2009. "Will the EU Single Area Payment decrease farm efficiency in the New Member States?," 2009 Conference, August 16-22, 2009, Beijing, China 51625, International Association of Agricultural Economists.
    13. Matousek, Roman & Nguyen, Thao Ngoc & Stewart, Chris, 2014. "Efficiency in the Vietnamese banking system: A DEA double bootstrap approach," Economics Discussion Papers 2014-1, School of Economics, Kingston University London.
    14. MG. Brandano & C. Detotto & M. Vannini, 2012. "Comparative efficiency of producer cooperatives and conventional firms in a sample of quasi-twin companies," Working Paper CRENoS 201228, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    15. Imran, Muhammad Ali & Ali, Asghar & Ashfaq, Muhammad & Hassan, Sarfraz & Culas, Richard & Ma, Chunbo, 2019. "Impact of climate smart agriculture (CSA) through sustainable irrigation management on Resource use efficiency: A sustainable production alternative for cotton," Land Use Policy, Elsevier, vol. 88(C).
    16. Christina Bampatsou & George Halkos & Olga-Helen Astara, 2022. "Composite indicators in evaluating tourism performance and seasonality," Operational Research, Springer, vol. 22(3), pages 2373-2396, July.
    17. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2011. "Productivity and Subsidies in European Union Countries: An Analysis for Dairy Farms Using Input Distance Frontiers," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114396, European Association of Agricultural Economists.
    18. Villano, Renato & Asante, Bright Owusu & Bravo-Ureta, Boris, 2019. "Farming systems and productivity gaps: Opportunities for improving smallholder performance in the Forest-Savannah transition zone of Ghana," Land Use Policy, Elsevier, vol. 82(C), pages 220-227.
    19. Embaye, Weldensie T. & Bergtold, Jason S. & Schwab, Benjamin & Zereyesus, Yacob A., 2018. "Modeling Farm Household’s Productivity under Inseparable Production and Consumption decisions," 2018 Annual Meeting, August 5-7, Washington, D.C. 274226, Agricultural and Applied Economics Association.
    20. Shokhrukh-Mirzo Jalilov & Mohammed Mainuddin & Md. Maniruzzaman & Md. Mahbubul Alam & Md. Towfiqul Islam & Md. Jahangir Kabir, 2019. "Efficiency in the Rice Farming: Evidence from Northwest Bangladesh," Agriculture, MDPI, vol. 9(11), pages 1-14, November.
    21. Claudio Detotto & Manuela Pulina & Juan Brida, 2014. "Assessing the productivity of the Italian hospitality sector: a post-WDEA pooled-truncated and spatial analysis," Journal of Productivity Analysis, Springer, vol. 42(2), pages 103-121, October.
    22. Ahmed, Nesar & Zander, Kerstin K. & Garnett, Stephen T., 2011. "Socioeconomic aspects of rice-fish farming in Bangladesh: opportunities, challenges and production efficiency," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-21.
    23. Nicholas Apergis & Michael L. Polemis, 2016. "Competition and efficiency in the MENA banking region: a non-structural DEA approach," Applied Economics, Taylor & Francis Journals, vol. 48(54), pages 5276-5291, November.
    24. Naveed IQBAL & Maqbool Hussain SIAL, 2018. "Semi-parametric analysis of agricultural production under dichotomy of inputs," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(8), pages 378-388.
    25. Barros, Carlos Pestana & Botti, Laurent & Peypoch, Nicolas & Robinot, Elisabeth & Solonandrasana, Bernardin & A., George Assaf, 2011. "Performance of French destinations: Tourism attraction perspectives," Tourism Management, Elsevier, vol. 32(1), pages 141-146.
    26. Li, Ke & Lin, Boqiang, 2017. "An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China," Energy, Elsevier, vol. 128(C), pages 575-585.
    27. Tamer Işgın & Remziye Özel & Abdulbaki Bilgiç & Wojciech J. Florkowski & Mehmet Reşit Sevinç, 2020. "DEA Performance Measurements in Cotton Production of Harran Plain, Turkey: A Single and Double Bootstrap Truncated Regression Approaches," Agriculture, MDPI, vol. 10(4), pages 1-17, April.
    28. Muhammad Arif Watto & Amin W. Mugera, 2014. "Measuring Production and Irrigation Efficiencies of Rice Farms: Evidence from the Punjab Province, Pakistan," Asian Economic Journal, East Asian Economic Association, vol. 28(3), pages 301-322, September.
    29. Anirban Nandy & Piyush Kumar Singh & Alok Kumar Singh, 2021. "Systematic Review and Meta- regression Analysis of Technical Efficiency of Agricultural Production Systems," Global Business Review, International Management Institute, vol. 22(2), pages 396-421, April.
    30. Watto, Muhammad Arif & Mugera, Amin William, 2013. "Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models," Working Papers 144943, University of Western Australia, School of Agricultural and Resource Economics.

  17. Laure Latruffe & Sophia Davidova & Kevin Balcombe, 2008. "Productivity change in Polish agriculture: an illustration of a bootstrapping procedure applied to Malmquist indices," Post-Print hal-02665020, HAL.

    Cited by:

    1. Latruffe, L. & Dakpo, K.H. & Desjeux, Y. & Jeanneaux, P., 2018. "Productivity, efficiency and technological change in French agriculture during 2002-2014: A F re-Primont index decomposition," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277369, International Association of Agricultural Economists.
    2. Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    3. Nicoleta Bărbuță-Mișu & Mara Madaleno & Vasile Ilie, 2019. "Analysis of Risk Factors Affecting Firms’ Financial Performance—Support for Managerial Decision-Making," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    4. Horta, I.M. & Camanho, A.S. & Moreira da Costa, J., 2012. "Performance assessment of construction companies: A study of factors promoting financial soundness and innovation in the industry," International Journal of Production Economics, Elsevier, vol. 137(1), pages 84-93.
    5. Latruffe, Laure & Fogarasi, József & Desjeux, Yann, 2012. "Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France," Economic Systems, Elsevier, vol. 36(2), pages 264-278.
    6. Arjomandi, Amir & Valadkhani, Abbas & Harvie, Charles, 2011. "Analysing Productivity Changes Using the Bootstrapped Malmquist Approach: The Case of the Iranian Banking Industry," MPRA Paper 50397, University Library of Munich, Germany.
    7. Bjerke, Lina, 2016. "Knowledge in agriculture: a micro data assessment of the role of internal and external knowledge in farm productivity in Sweden," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 118(2), pages 1-9, August.
    8. Teodor HADA & Nicoleta BARBUTA-MISU & Teodora Maria AVRAM, 2016. "Financial CEMATT Method: a New Approach for Performance Assessment using Accounting Information," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 10-17.
    9. K Hervé Dakpo & Yann Desjeux & Philippe Jeanneaux & Laure Latruffe, 2017. "Productivity, technical efficiency and technological change in French agriculture during 2002-2014: A Färe-Primont index decomposition," Working Papers SMART 17-07, INRAE UMR SMART.
    10. Rodrigo Taborda & Julieth Santamaría, 2011. "Productivity growth in electric energy retail in Colombia. A bootstrapped malmquist indices approach," Documentos de Trabajo 9152, Universidad del Rosario.
    11. Záhorský, T. & Pokrivčák, J., 2017. "Assessment of the Agricultural Performance in Central and Eastern European Countries," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(1), March.
    12. Makieła, Kamil & Marzec, Jerzy & Pisulewski, Andrzej, 2016. "Productivity Change Analysis of Polish Dairy Farms After Poland’s Accession to the EU – An Output Growth Decomposition Approach," MPRA Paper 80295, University Library of Munich, Germany.
    13. Jerzy Marzec & Andrzej Pisulewski & Artur Prędki, 2019. "Efektywność techniczna i produktywność polskich gospodarstw rolnych specjalizujących się w uprawach polowych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 95-125.
    14. Amer Ait Sidhoum, 2023. "Measuring farm productivity under production uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 672-687, October.
    15. Wencheng Li & Lei Wang & Qi Wan & Weijia You & Shaowen Zhang, 2022. "A Configurational Analysis of Family Farm Management Efficiency: Evidence from China," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    16. Habtamu ALEM, 2017. "Source Of Total Factor Productivity Change: An Empirical Analysis Of Grain Producing Regions In Norway," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(6), pages 8-18, December.
    17. Cecilia ALEXANDRI & Corina SAMAN & Bianca PAUNA, 2021. "Exploring the Relationship Between Farm Productivity and CAP Subsidies for the NMS," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 124-140, December.
    18. Karolina Pawlak & Walenty Poczta, 2020. "Agricultural Resources and their Productivity: A Transatlantic Perspective," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 18-49.
    19. Tomas Baležentis & Irena Kriščiukaitienė & Alvydas Baležentis, 2014. "A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 589-599, September.
    20. Biagia De Devitiis & Ornella Wanda Maietta, 2015. "Shadow Prices of Human Capital in Agriculture. Evidence from European FADN Regions," CSEF Working Papers 415, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    21. Bachev, Hrabrin & Koteva, Nina & Ivanov, Bojidar & Mitova, Dilyana & Boevski, Ivan & Terziev, Dimitar & Dimova, Nadejda & Dimitrova, Reneta & Marinov, Petar & Zvyatkova, Daniela & Sarov, Angel & Koste, 2021. "Холистичен Подход За Дефиниране, Оценяване И Подобряване На Конкурентоспособността На Земеделските Стопанства В България [A holistic framework for defining, evaluating, and improving the competitiv," MPRA Paper 111498, University Library of Munich, Germany.
    22. Fertö, Imre, 2014. "The Structural Transformation in Central and Eastern European Agriculture," CEI Working Paper Series 2014-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    23. Tomislav Herceg & Iva Vuksanovic, 2017. "Technological progress in Croatian perennial agriculture," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 6(1), pages 18-32, May.
    24. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.

  18. Balcombe, Kelvin George & Davidova, Sophia & Latruffe, Laure, 2006. "The Use of Bootstrapped Malmquist Indices to Reassess Productivity Change Findings: An Application to a Sample of Polish Farms," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25793, International Association of Agricultural Economists.

    Cited by:

    1. Mad Ithnin Salleh & Nurul Fadly Habidin & Abdul Halim Masnan & Nordin Mamat, 2017. "Estimating Technical Efficiency and Bootstrapping Malmquist Indices: Analysis of Malaysian Preschool Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(3), pages 440-457, March.
    2. Sethi, Amarjit Singh, 2016. "Sources of Growth in India: Evidence from Punjab and Haryana," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 5(1), pages 15-34.
    3. B. de Borger & K. Kerstens & D. Prior & I. van de Woestyne, 2012. "Static efficiency decompositions and capacity utilization: integrating economic and technical capacity notions," Post-Print hal-00677646, HAL.
    4. Kelvin Balcombe & Sophia Davidova & Laure Latruffe, 2006. "The use of bootstrapped Malmquist indices to reassess productivity change findings: an application to a sample of Polish farms," Post-Print hal-02285586, HAL.
    5. Aleksandra PARTEKA & Joanna WOLSZCZAK-DERLACZ, 2011. "Dynamics of productivity in higher education. Cross-European evidence based on bootstrapped Malmquist indices," Departmental Working Papers 2011-10, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    6. Arjomandi, Amir & Valadkhani, Abbas & Harvie, Charles, 2011. "Analysing Productivity Changes Using the Bootstrapped Malmquist Approach: The Case of the Iranian Banking Industry," MPRA Paper 50397, University Library of Munich, Germany.
    7. Dong‐Sing He & Imen Tebourbi, 2021. "Measuring the continuation effects of market order entry: A dynamic model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 762-777, April.
    8. Olson, Kent D. & Vu, Linh, 2009. "Productivity Growth, Technical Efficiency and Technical Change on Minnesota Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49204, Agricultural and Applied Economics Association.
    9. A. Assaf, 2011. "Accounting for technological differences in modelling the performance of airports: a Bayesian approach," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2267-2275.
    10. Rodrigo Taborda & Julieth Santamaría, 2011. "Productivity growth in electric energy retail in Colombia. A bootstrapped malmquist indices approach," Documentos de Trabajo 9152, Universidad del Rosario.
    11. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    12. Tomas Baležentis, 2014. "Total factor productivity in the Lithuanian family farms after accession to the EU: application of the bias-corrected Malmquist indices," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(4), pages 731-746, November.
    13. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.
    14. Assaf, A. George & Gillen, David & Barros, Carlos, 2012. "Performance assessment of UK airports: Evidence from a Bayesian dynamic frontier model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 603-615.
    15. Yiorgos Gadanakis & Jorge Campos-González & Philip Jones, 2024. "Linking Entrepreneurship to Productivity: Using a Composite Indicator for Farm-Level Innovation in UK Agriculture with Secondary Data," Agriculture, MDPI, vol. 14(3), pages 1-23, March.

  19. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2005. "Technical and scale efficiency of crop and livestock farms in Poland : does specialization matte r?," Post-Print hal-02392195, HAL.

    Cited by:

    1. Stefan Bojnec & Laure Latruffe, 2007. "Farm size and efficiency: the case of Slovenia," Post-Print hal-02818724, HAL.
    2. Antonio A. Pinto & Susana Fischer & Rosemarie Wilckens & Luis Bustamante & Marisol T. Berti, 2021. "Production Efficiency and Total Protein Yield in Quinoa Grown under Water Stress," Agriculture, MDPI, vol. 11(11), pages 1-18, November.
    3. Russell Pittman & Monika Jandová & Marcin Król & Larysa Nekrasenko & Tomáš Paleta, 2019. "The Effectiveness of EC Policies to Move Freight from Road to Rail: Evidence from CEE Grain Markets," EAG Discussions Papers 201902, Department of Justice, Antitrust Division.
    4. Bachewe, Fantu Nisrane & Koru, Bethlehem & Taffesse, Alemayehu Seyoum, 2018. "Productivity and efficiency in high-potential areas," IFPRI book chapters, in: The economics of teff: Exploring Ethiopia’s biggest cash crop, chapter 7, pages 149-180, International Food Policy Research Institute (IFPRI).
    5. Madau, Fabio A., 2015. "Technical and Scale Efficiency in the Italian Citrus Farming: Comparison between SFA and DEA Approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-13.
    6. Hockmann, Heinrich & Pieniadz, Agata & Goraj, Lech, 2007. "Modeling Heterogeneity In Production Models: Empirical Evidence From Individual Farming In Poland," IAMO Discussion Papers 91733, Institute of Agricultural Development in Transition Economies (IAMO).
    7. Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
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    9. Baran, Joanna, 2016. "Efektywność polskiego rolnictwa na tle pozostałych krajów Unii Europejskiej," Village and Agriculture (Wieś i Rolnictwo), Polish Academy of Sciences (IRWiR PAN), Institute of Rural and Agricultural Development, vol. 3(172), January.
    10. Hockmann, Heinrich & Pieniadz, Agata, 2009. "Explaining differences in farms efficiencies in Polish agriculture," 2009 Conference, August 16-22, 2009, Beijing, China 51051, International Association of Agricultural Economists.
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    12. Osti, Surendra & Bampasidou, Maria & Fannin, J. Matthew, 2018. "Revisiting Farm efficiency of Rice-Crawfish farmers: Accounting for the H-2A program," 2018 Annual Meeting, August 5-7, Washington, D.C. 274339, Agricultural and Applied Economics Association.
    13. Latruffe, Laure & Guyomard, Hervé & Le Mouël, Chantal, 2009. "The role of public subsidies on farms’ managerial efficiency: An application of a five-stage approach to France," Working Papers 210398, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    14. CECHURA, Lukas & ZAKOVA KROUPOVA, Zdenka & MALY, Michal & HOCKMANN, Heinrich, 2015. "Scale Efficiency In European Pork Production," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 18(2), pages 1-6, October.
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    17. Upul Yasantha, Nanayakkara Vithanage & Lokugam, H. P. Gunaratne & Kumara, Mahipala M.B.P. & Hewa, Waduge Cyril, 2014. "Comparison of Technical Efficiency and Socio-economic Status in Animal-crop Mixed Farming Systems in Dry Lowland Sri Lanka," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 4(02), pages 1-14, February.
    18. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
    19. Bachewe, Fantu Nisrane & Koru, Bethlehem & Taffesse, Alemayehu Seyoum, 2015. "Productivity and efficiency of smallholder teff farmers in Ethiopia:," ESSP working papers 79, International Food Policy Research Institute (IFPRI).
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    24. Bazyli Czyżewski & Agnieszka Poczta-Wajda & Piotr Kułyk & Jolanta Drozdz, 2023. "Small farm as sustainable nexus of contracts: understanding the role of human capital and policy based on evidence from Poland," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10239-10260, September.
    25. Lajos Zoltán Bakucs & Laure Latruffe & Imre Ferto & Jozsef Fogarasi, 2007. "Technical efficiency of Hungarian farms before and after accession," Post-Print hal-02285591, HAL.
    26. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2008. "Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe," Journal of Productivity Analysis, Springer, vol. 29(2), pages 183-191, April.
    27. Manevska-Tasevska, Gordana & Hansson, Helena, 2010. "Influence of rural development policy targets on farm efficiency: An efficiency study of labour intensive grape growing family farms," IAMO Forum 2010: Institutions in Transition – Challenges for New Modes of Governance 52696, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
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    39. Kelvin Balcombe & Iain Mcpherson Fraser & Laure Latruffe & Mizanur Rahman & Laurence Smith, 2008. "An Application of the DEA Double Bootstrap to Examine Sources of Efficiency in Bangladesh Rice Farming," Post-Print hal-00582068, HAL.
    40. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    41. Douarin, Elodie & Latruffe, Laure, 2009. "Will the EU Single Area Payment decrease farm efficiency in the New Member States?," 2009 Conference, August 16-22, 2009, Beijing, China 51625, International Association of Agricultural Economists.
    42. Martin Petrick & Laure Latruffe, 2003. "Credit access and borrowing costs in Poland’s agricultural credit market : a hedonic pricing approach," Working Papers hal-02416849, HAL.
    43. Lucyna Błażejczyk-Majka & Radosław Kala & Krzysztof Maciejewski, 2012. "Productivity and efficiency of large and small field crop farms and mixed farms of the old and new EU regions," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 58(2), pages 61-71.
    44. Supawat Rungsuriyawiboon & Heinrich Hockmann, 2015. "Adjustment costs and efficiency in Polish agriculture: a dynamic efficiency approach," Journal of Productivity Analysis, Springer, vol. 44(1), pages 51-68, August.
    45. Petrick, Martin, 2008. "Theoretical and methodological topics in the institutional economics of European agriculture. With applications to farm organisation and rural credit arrangements," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 45, number 92318.
    46. Chand, Narendra & Kerr, Geoffrey N. & Bigsby, Hugh R., "undated". "Why some community forests are performing better than others: a case of forest user groups in Nepal," 2010 Conference, August 26-27, 2010, Nelson, New Zealand 96827, New Zealand Agricultural and Resource Economics Society.
    47. Vu Hoang Linh, 2012. "Efficiency of rice farming households in Vietnam," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 11(1), pages 60-73, April.
    48. Zhu, Liyun & Schneider, Kevin & Oude Lansink, Alfons, 2023. "Economic, environmental, and social inefficiency assessment of Dutch dairy farms based on the dynamic by-production model," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1134-1145.
    49. Glynn T. Tonsor & Allen M. Featherstone, 2009. "Production Efficiency of Specialized Swine Producers," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 493-510.
    50. Czubak, Wawrzyniec & Pawłowski, Krzysztof Piotr & Sadowski, Arkadiusz, 2021. "Outcomes of farm investment in Central and Eastern Europe: The role of financial public support and investment scale," Land Use Policy, Elsevier, vol. 108(C).
    51. Šalkauskienė, Vilma & Gudritienė, Daiva & Abalikštienė, Edita, 2019. "Analysis of the non-productive land use in Lithuania," Land Use Policy, Elsevier, vol. 80(C), pages 135-141.
    52. Pieniadz, Agata & Renner, Swetlana & Petrick, Martin, 2007. "Exploring the Flexibility of Polish Family Farms During Transition," 100th Seminar, June 21-23, 2007, Novi Sad, Serbia and Montenegro 162347, European Association of Agricultural Economists.
    53. Jean‐Paul Chavas & Doris Läpple & Bradford Barham & Emma Dillon, 2022. "An economic analysis of production efficiency: Evidence from Irish farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(2), pages 153-173, June.
    54. Joanna Domagała, 2021. "Economic and Environmental Aspects of Agriculture in the EU Countries," Energies, MDPI, vol. 14(22), pages 1-23, November.
    55. Kelly, E & Shalloo, L & Geary, U & Kinsella, A. & Thorne, F & Wallace, M, 2013. "An analysis of the factors associated with technical and scale efficiency of Irish dairy farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 2(3), pages 1-11, April.
    56. Ahmed, Nesar & Zander, Kerstin K. & Garnett, Stephen T., 2011. "Socioeconomic aspects of rice-fish farming in Bangladesh: opportunities, challenges and production efficiency," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-21.
    57. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    58. Nikolay VASILIEV & Elsa SUUSTER & Helis LUIK & Rando VÄRNIK & Eduard MATVEEV & Alar ASTOVER, 2011. "Productivity of Estonian dairy farms decline after the accession to the European Union," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(9), pages 457-463.
    59. Martin Petrick & Laure Latruffe & . Leibniz Institute of Agricultural Development In Central And Eastern Europe, 2004. "Measuring the quality of agricultural credit contracts : a hedonic regression analysis of borrowing costs on Polish credit markets," Post-Print hal-02392196, HAL.
    60. Cecilia ALEXANDRI & Corina SAMAN & Bianca PAUNA, 2021. "Exploring the Relationship Between Farm Productivity and CAP Subsidies for the NMS," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 124-140, December.
    61. Karolina Pawlak & Walenty Poczta, 2020. "Agricultural Resources and their Productivity: A Transatlantic Perspective," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 18-49.
    62. Bazyli Czyżewski & Agnieszka Sapa & Piotr Kułyk, 2021. "Human Capital and Eco-Contractual Governance in Small Farms in Poland: Simultaneous Confirmatory Factor Analysis with Ordinal Variables," Agriculture, MDPI, vol. 11(1), pages 1-16, January.
    63. Gelan, Ayele & Muriithi, Beatrice W., 2015. "Examining Returns to Scale in Smallholder Dairy Farms in East Africa," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 54(3), pages 1-23, September.
    64. Chaplin, Hannah & Davidova, Sophia & Gorton, Matthew, 2005. "Impediments to Employment and Enterprise Diversification: Evidence from Small-Scale Farms in Poland," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24760, European Association of Agricultural Economists.
    65. Tamer Işgın & Remziye Özel & Abdulbaki Bilgiç & Wojciech J. Florkowski & Mehmet Reşit Sevinç, 2020. "DEA Performance Measurements in Cotton Production of Harran Plain, Turkey: A Single and Double Bootstrap Truncated Regression Approaches," Agriculture, MDPI, vol. 10(4), pages 1-17, April.
    66. Bachev, Hrabrin & Koteva, Nina & Ivanov, Bojidar & Mitova, Dilyana & Boevski, Ivan & Terziev, Dimitar & Dimova, Nadejda & Dimitrova, Reneta & Marinov, Petar & Zvyatkova, Daniela & Sarov, Angel & Koste, 2021. "Холистичен Подход За Дефиниране, Оценяване И Подобряване На Конкурентоспособността На Земеделските Стопанства В България [A holistic framework for defining, evaluating, and improving the competitiv," MPRA Paper 111498, University Library of Munich, Germany.
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    68. Petrick, Martin & Latruffe, L., 2005. "Measuring the Quality of Agricultural Credit Contracts – A Hedonic Regression Analysis of Effective Interest Rates on Polish Credit Markets," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 40, March.
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    70. Bachewe, Fantu Nisrane & Koru, Bethelihem & Taffesse, Alemayehu Seyoum, 2015. "Smallholder Teff Productivity and Efficiency: Evidence from High-Potential Districts of Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 212257, International Association of Agricultural Economists.
    71. Zawalinska, Katarzyna, 2005. "Changes in Competitiveness of Farm Sector in Candidate Countries Prior to the EU Accession: The Case of Poland," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24520, European Association of Agricultural Economists.
    72. Curtiss, Jarmila & Brümmer, Bernhard & Medonos, Tomas & Weaver, Robert D., 2005. "Structural Change in Transition: A Role for Organizational Legitimacy? Evidence from Czech Agriculture," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24557, European Association of Agricultural Economists.
    73. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.
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  20. Balcombe, Kelvin George & Davidova, Sophia & Latruffe, Laure, 2005. "Productivity Change in Polish Agriculture: An Application of a Bootstrap Procedure to Malmquist Indices," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24572, European Association of Agricultural Economists.

    Cited by:

    1. Fogarasi, Jozsef & Latruffe, Laure, 2009. "Farm performance and support in Central and Western Europe: A comparison of Hungary and France," 2009 Conference, August 16-22, 2009, Beijing, China 51431, International Association of Agricultural Economists.
    2. Kostlivý, V. & Fuksová, Z. & Dubec, J., 2017. "Farms Productivity Developments Based on Malmquist Production Indices," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(2), June.
    3. Fogarasi, Jozsef & Latruffe, Laure, 2007. "Technical Efficiency and Productivity Change of Dairy Farms: A comparison of France and Hungary," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9432, European Association of Agricultural Economists.
    4. Jozsef Fogarasi & Laure Latruffe, 2007. "How did Hungarian crop farms perform before accession: a comparison of technical efficiency and technology with France," Post-Print hal-02285594, HAL.
    5. Fekete-Farkas, Maria & Szucs, Istvan & Varga, Tibor, 2012. "Technological progress and efficiency change In Hungarian Agriculture," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126120, International Association of Agricultural Economists.
    6. Stefan Bojnec & Laure Latruffe, 2007. "Productivity change in Slovenian agriculture during the transition: a comparison of production branches," Post-Print hal-02283465, HAL.

  21. Gillson, I & Poulton, Colin & Balcombe, Kelvin & Page, S, 2004. "Understanding the impact of Cotton Subsidies on developing countries," MPRA Paper 15373, University Library of Munich, Germany.

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    1. Shepherd, Ben, 2006. "Estimating Price Elasticities of Supply for Cotton: A Structural Time-Series Approach," MPRA Paper 1252, University Library of Munich, Germany.
    2. Kohnert, Dirk, 2007. "Crisis Region Western Africa - The cradle of African migration to Europe," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 37-55.
    3. Fousseini TRAORE & Stéphane CALIPEL & Catherine ARAUJO BONJEAN, 2006. "L’impact des aides américaines et européennes sur le marché du coton : résultats d’un modèle d’équilibre partiel dynamique," Working Papers 200610, CERDI.
    4. Gadanakis, Yiorgos & Baourakis, George & Clapan, Carmen, 2007. "Measuring the impacts of distortions in the European Union cotton sector: a partial equilibrium analysis using the ATPSM model framework," Working Papers 7285, TRADEAG - Agricultural Trade Agreements.
    5. Jeffrey D. Vitale & Hamady Djourra & Aminata Sidibé, 2009. "Estimating the supply response of cotton and cereal crops in smallholder production systems: recent evidence from Mali," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 519-533, September.
    6. Xinyao Wang & Dan Li & Yue Yu, 2022. "Current Situation and Optimization Countermeasures of Cotton Subsidy in China Based on WTO Rules," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
    7. Risely Ferraz-Almeida & Raquel Pinheiro da Mota, 2021. "Routes of Soil Uses and Conversions with the Main Crops in Brazilian Cerrado: A Scenario from 2000 to 2020," Land, MDPI, vol. 10(11), pages 1-16, October.
    8. Kohnert, Dirk, 2006. "Vom Nutzen afrikanischer Zuwanderer für Europa. Wende in der EU-Einwanderungspolitik? [On the benefit of African immigration to Europe. Turn in the EU immigration policy?]," MPRA Paper 1064, University Library of Munich, Germany.
    9. Blasco, Lorea Barron & Devadoss, Stephen & Stodick, Leroy, 2006. "The Doha Round Declaration on Cotton: A Catalyst for Poverty Reduction in Africa?," 2006 Annual meeting, July 23-26, Long Beach, CA 21161, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. David Guerreiro, 2009. "Une méta-analyse de l’impact des subventions sur le prix mondial du coton," Working Papers hal-04140843, HAL.
    11. Vitale, Jeffrey D. & Sanders, John H., 2005. "Estimating the Impacts of Liberalization in West Africa: The Malian Case," 2005 Annual meeting, July 24-27, Providence, RI 19481, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Tony Addison, 2005. "Post-Conflict Recovery: Does the Global Economy Work for Peace?," WIDER Working Paper Series DP2005-05, World Institute for Development Economic Research (UNU-WIDER).
    13. Orden, David & Salam, Abdul & Dewina, Reno & Nazli, Hina & Minot, Nicholas, 2006. "The Impact of Global Cotton Markets on Rural Poverty in Pakistan," 2006 Annual meeting, July 23-26, Long Beach, CA 21381, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Hazell, Peter & Poulton, Colin & Wiggins, Steve & Dorward, Andrew, 2010. "The Future of Small Farms: Trajectories and Policy Priorities," World Development, Elsevier, vol. 38(10), pages 1349-1361, October.
    15. Ian Taylor, 2016. "Bait and Switch: The European Union’s Incoherency towards Africa," Insight on Africa, , vol. 8(2), pages 96-111, July.
    16. Delpeuch, Claire, 2011. "African cotton markets at crossroads : will the price spike turn into a new kick-start ?," Policy Research Working Paper Series 5847, The World Bank.
    17. Ilhem Baghdadli & Hela Cheikhrouhou & Gael Raballand, 2007. "Strategies for Cotton in West and Central Africa : Enhancing Competitiveness in the "Cotton 4"," World Bank Publications - Books, The World Bank Group, number 6784, December.
    18. Wang, Ping & Kinnucan, Henry W. & Duffy, Patricia A., 2017. "Effects of China's Rising Labor Costs on the World Cotton Market," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258431, Agricultural and Applied Economics Association.
    19. Traoré, Fousseini, 2013. "Estimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 94(3).
    20. Shepherd, Ben & Delpeuch, Claire, 2007. "Subsidies and regulatory reform in West African cotton: What are the development stakes?," MPRA Paper 2289, University Library of Munich, Germany.
    21. Sukhpal Singh, 2021. "Nature and Dynamics of Farm Labour Work: A Case Study of Cotton in the Indian Punjab," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(2), pages 447-459, June.
    22. Cororaton, Caesar B. & Orden, David, 2008. "Pakistan's cotton and textile economy: Intersectoral linkages and effects on rural and urban poverty," Research reports 158, International Food Policy Research Institute (IFPRI).

  22. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2004. "Determinants of technical efficiency of crop and livestock farms in Poland," Post-Print hal-02360570, HAL.

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    1. Zhu, Xueqin & Oude Lansink, Alfons G.J.M., 2008. "Technical Efficiency of the Crop Farms under the Various CAP Reforms: Empirical Studies for Germany, the Netherlands and Sweden," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6589, European Association of Agricultural Economists.
    2. Gershom Endelani Mwalupaso & Xu Tian & Xianhui Geng, 2020. "Rethinking Food Production: Nexus of Mobile Phones and Production Cost Minimization," IJERPH, MDPI, vol. 17(7), pages 1-12, April.
    3. Gregory E. Frey & Hugo E. Fassola & A. Nahuel Pachas & Luis Colcombet & Santiago M. Lacorte & Mitch Renkow & Oscar Pérez & Frederick W. Cubbage, 2012. "A Within-Farm Efficiency Comparison of Silvopasture Systems with Conventional Pasture and Forestry in Northeast Argentina," Land Economics, University of Wisconsin Press, vol. 88(4), pages 639-657.
    4. Fabio Carlucci & Andrea Cirà & Paolo Coccorese, 2018. "Measuring and Explaining Airport Efficiency and Sustainability: Evidence from Italy," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    5. Tomas Baležentis & Alfons Oude Lansink, 2020. "Measuring dynamic biased technical change in Lithuanian cereal farms," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 208-225, April.
    6. Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2015. "Eficiencia técnica de los hogares con producción agropecuaria en Colombia," Documentos de trabajo sobre Economía Regional y Urbana 227, Banco de la Republica de Colombia.
    7. Jakub Staniszewski & Łukasz Kryszak, 2022. "Do Structures Matter in the Process of Sustainable Intensification? A Case Study of Agriculture in the European Union Countries," Agriculture, MDPI, vol. 12(3), pages 1-19, February.
    8. Martinho, Vítor João Pereira Domingues, 2017. "Efficiency, total factor productivity and returns to scale in a sustainable perspective: An analysis in the European Union at farm and regional level," Land Use Policy, Elsevier, vol. 68(C), pages 232-245.
    9. Tamara RUDINSKAYA, 2017. "Heterogeneity and efficiency of food processing companies in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(9), pages 411-420.
    10. Hockmann, Heinrich & Pieniadz, Agata & Goraj, Lech, 2007. "Modeling Heterogeneity In Production Models: Empirical Evidence From Individual Farming In Poland," IAMO Discussion Papers 91733, Institute of Agricultural Development in Transition Economies (IAMO).
    11. Anna Gaviglio & Rosalia Filippini & Fabio Albino Madau & Maria Elena Marescotti & Eugenio Demartini, 2021. "Technical efficiency and productivity of farms: a periurban case study analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-18, December.
    12. Bogetic,Zeljko & Naeher,Dominik & Narayanan,Raghavan, 2021. "Measuring Untapped Revenue Potential in Developing Countries : Cross-Country Frontier and Panel Data Analysis," Policy Research Working Paper Series 9776, The World Bank.
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  23. Bailey, Alastair & Irz, Xavier T. & Balcombe, Kelvin George, 2003. "An Appliation Of The Stochastic Latent Variable Approach To The Correction Of Sector Level Tfp Calculations In The Face Of Biased Technological Change," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25842, International Association of Agricultural Economists.

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  24. Tiffin, J. Richard & Balcombe, Kelvin George, 2003. "Testing Symmetry And Homogeneity In The Aids With Cointegrated Data Using Fully-Modified Estimation And The Bootstrap," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25845, International Association of Agricultural Economists.

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    6. Lei Chen & Ying-Ming Wang & Yan Huang, 2020. "Cross-efficiency aggregation method based on prospect consensus process," Annals of Operations Research, Springer, vol. 288(1), pages 115-135, May.
    7. Johannes G. Jaspersen & Marc A. Ragin & Justin R. Sydnor, 2022. "Predicting insurance demand from risk attitudes," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(1), pages 63-96, March.
    8. Nilanjan Dutta & Arshinder Kaur, 2023. "Enabling socially responsible operations: A decision-making model for a firm contracting with decision-biased smallholders," Annals of Operations Research, Springer, vol. 320(1), pages 509-533, January.

  4. Suva Kanta Mohanty & Kelvin Balcombe & Richard Bennett & Giuseppe Nocella & Iain Fraser, 2019. "Attribute Specific Impacts of Stated Non‐Attendance in Choice Experiments," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(3), pages 686-704, September.

    Cited by:

    1. Sandra Notaro & Maria De Salvo & Roberta Raffaelli, 2022. "Estimating Willingness to Pay for Alpine Pastures: A Discrete Choice Experiment Accounting for Attribute Non-Attendance," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    2. Fabio Boncinelli & Andrea Dominici & Francesca Gerini & Enrico Marone, 2021. "Insights into organic wine consumption: behaviour, segmentation and attribute non-attendance," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-16, December.

  5. I. G. Ukpong & K. G. Balcombe & I. M. Fraser & F. J. Areal, 2019. "Preferences for Mitigation of the Negative Impacts of the Oil and Gas Industry in the Niger Delta Region of Nigeria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 811-843, October.

    Cited by:

    1. Fraser, Iain & Balcombe, Kelvin & Williams, Louis & McSorley, Eugene, 2021. "Preference stability in discrete choice experiments. Some evidence using eye-tracking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    2. Soni, Gunjan & Mangla, Sachin Kumar & Singh, Pallavi & Dey, Bidit L. & Dora, Manoj, 2021. "Technological interventions in social business: Mapping current research and establishing future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    3. Philip E. Agbonifo, 2022. "Socio-economic implications of poor environmental management: a framework on the Niger Delta questions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2453-2470, February.
    4. Abudu, Hermas & Cai, Xiangyu & Lin, Boqiang, 2022. "How upstream petroleum industry affects economic growth and development in petroleum producing-countries: Evidence from Ghana," Energy, Elsevier, vol. 260(C).

  6. Richard Bennett & Kelvin Balcombe & Philip Jones & Andrew Butterworth, 2019. "The Benefits of Farm Animal Welfare Legislation: The Case of the EU Broiler Directive and Truthful Reporting," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(1), pages 135-152, February.

    Cited by:

    1. Doris Läpple & Osayanmon Wellington Osawe, 2023. "Concern for animals, other farmers, or oneself? Assessing farmers' support for a policy to improve animal welfare," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(3), pages 836-860, May.
    2. Menapace, Luisa & Raffaelli, Roberta, 2020. "Unraveling hypothetical bias in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 416-430.
    3. Läpple, Doris & Osawe, Osayanmon Wellington, 2022. "Animal Welfare, Altruism and Policy Support," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321212, Agricultural Economics Society - AES.

  7. Iain Fraser & Kelvin Balcombe, 2018. "Wrapped in the Flag: Food Choice and Country of Origin Labelling," EuroChoices, The Agricultural Economics Society, vol. 17(3), pages 37-42, December.

    Cited by:

    1. Kelvin Balcombe & Dylan Bradley & Iain Fraser, 2021. "Do Consumers Really Care? An Economic Analysis of Consumer Attitudes Towards Food Produced Using Prohibited Production Methods," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 452-469, June.
    2. Andrea Marchini & Chiara Riganelli & Francesco Diotallevi & Bianca Polenzani, 2021. "Label information and consumer behaviour: evidence on drinking milk sector," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-24, December.
    3. Kelvin Balcombe & Dylan Bradley & Iain Fraser, 2020. "The Economic Analysis of Consumer Attitudes Towards Food Produced Using Prohibited Production Methods: Do Consumers Really Care?," Studies in Economics 2004, School of Economics, University of Kent.
    4. Alexander J. Stein & Fabien Santini, 2022. "The sustainability of “local” food: a review for policy-makers," Review of Agricultural, Food and Environmental Studies, Springer, vol. 103(1), pages 77-89, March.
    5. Martina Chalupová & Stanislav Rojík & Hana Kotoučková & Lenka Kauerová, 2020. "Food Labels (Quality, Origin, and Sustainability): The Experience of Czech Producers," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
    6. Yu-Hui Chen & Kai-Han Qiu & Kang Ernest Liu & Chun-Yuan Chiang, 2020. "Are Consumers Willing to Pay a Premium for Pure Rice Noodles? A Study of Discrete Choice Experiments in Taiwan," Sustainability, MDPI, vol. 12(15), pages 1-18, July.

  8. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.

    Cited by:

    1. Farman Ullah Khan & Faridoon Khan & Parvez Ahmed Shaikh, 2023. "Forecasting returns volatility of cryptocurrency by applying various deep learning algorithms," Future Business Journal, Springer, vol. 9(1), pages 1-11, December.
    2. Ellen J Van Loo & Carola Grebitus & Rodolfo M Nayga & Wim Verbeke & Jutta Roosen, 2018. "On the Measurement of Consumer Preferences and Food Choice Behavior: The Relation Between Visual Attention and Choices," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 40(4), pages 538-562, December.
    3. Fiedler, Susann & Hillenbrand, Adrian, 2020. "Gain-loss framing in interdependent choice," Games and Economic Behavior, Elsevier, vol. 121(C), pages 232-251.
    4. Fraser, Iain & Balcombe, Kelvin & Williams, Louis & McSorley, Eugene, 2021. "Preference stability in discrete choice experiments. Some evidence using eye-tracking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    5. Jeffrey E. Harris & Mariana Gerstenblüth & Patricia Triunfo, 2018. "Smokers’ Rational Lexicographic Preferences for Cigarette Package Warnings: A Discrete Choice Experiment with Eye Tracking," Documentos de Trabajo (working papers) 0218, Department of Economics - dECON.
    6. Dudinskaya, Emilia Cubero & Naspetti, Simona & Zanoli, Raffaele, 2020. "Using eye-tracking as an aid to design on-screen choice experiments," Journal of choice modelling, Elsevier, vol. 36(C).
    7. Edenbrandt, Anna Kristina & Lagerkvist, Carl-Johan & Lüken, Malte & Orquin, Jacob L., 2022. "Seen but not considered? Awareness and consideration in choice analysis," Journal of choice modelling, Elsevier, vol. 45(C).
    8. Huseynov, Samir & Krajbich, Ian & Palma, Marco A., 2018. "No Time to Think: Food Decision-Making under Time Pressure," 2018 Annual Meeting, August 5-7, Washington, D.C. 274135, Agricultural and Applied Economics Association.
    9. Welling, Malte & Sagebiel, Julian & Rommel, Jens, 2023. "Information processing in stated preference surveys," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    10. Carola Grebitus & Ellen J. Van Loo, 2022. "Relationship between cognitive and affective processes, and willingness to pay for pesticide‐free and GMO‐free labeling," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 407-421, May.

  9. Balcombe, Kelvin & Fraser, Iain, 2017. "Do bubbles have an explosive signature in markov switching models?," Economic Modelling, Elsevier, vol. 66(C), pages 81-100.

    Cited by:

    1. Ardia, David & Bluteau, Keven & Rüede, Maxime, 2019. "Regime changes in Bitcoin GARCH volatility dynamics," Finance Research Letters, Elsevier, vol. 29(C), pages 266-271.
    2. Cretarola, Alessandra & Figà-Talamanca, Gianna, 2020. "Bubble regime identification in an attention-based model for Bitcoin and Ethereum price dynamics," Economics Letters, Elsevier, vol. 191(C).
    3. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2019. "Asymmetric adjustment, non-linearity and housing price bubbles: New international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. Gao, Lingbo & Ye, Wuyi & Guo, Ranran, 2022. "Jointly forecasting the value-at-risk and expected shortfall of Bitcoin with a regime-switching CAViaR model," Finance Research Letters, Elsevier, vol. 48(C).
    5. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick & Paraskevopoulos, Ioannis, 2020. "Mild explosivity in recent crude oil prices," Energy Economics, Elsevier, vol. 87(C).
    6. Mawuli Segnon & Stelios Bekiros, 2020. "Forecasting volatility in bitcoin market," Annals of Finance, Springer, vol. 16(3), pages 435-462, September.
    7. Leandro Maciel, 2021. "Cryptocurrencies value‐at‐risk and expected shortfall: Do regime‐switching volatility models improve forecasting?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4840-4855, July.
    8. Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2022. "On the volatility of cryptocurrencies," Working Papers 2202, University of Guelph, Department of Economics and Finance.
    9. Shaw, Charles, 2018. "Conditional heteroskedasticity in crypto-asset returns," MPRA Paper 90437, University Library of Munich, Germany.
    10. Cristina Chinazzo & Vahidin Jeleskovic, 2024. "Forecasting Bitcoin Volatility: A Comparative Analysis of Volatility Approaches," Papers 2401.02049, arXiv.org.
    11. D’Amato, Valeria & Levantesi, Susanna & Piscopo, Gabriella, 2022. "Deep learning in predicting cryptocurrency volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    12. Charles Shaw, 2018. "Conditional heteroskedasticity in crypto-asset returns," Papers 1804.07978, arXiv.org, revised Dec 2018.
    13. Sajad Rahimian, 2021. "The Determinants of Democracy Revisited: An Instrumental Variable Bayesian Model Averaging Approach," Papers 2103.04255, arXiv.org.
    14. José Antonio Núñez-Mora & Roberto Joaquín Santillán-Salgado & Mario Iván Contreras-Valdez, 2022. "COVID Asymmetric Impact on the Risk Premium of Developed and Emerging Countries’ Stock Markets," Mathematics, MDPI, vol. 10(9), pages 1-36, April.
    15. Narayan, Paresh Kumar & Narayan, Seema & Eki Rahman, R. & Setiawan, Iwan, 2019. "Bitcoin price growth and Indonesia's monetary system," Emerging Markets Review, Elsevier, vol. 38(C), pages 364-376.
    16. Byron J. Idrovo-Aguirre & Francisco J. Lozano & Javier E. Contreras-Reyes, 2021. "Prosperity or Real Estate Bubble? Exuberance Probability Index of Real Housing Prices in Chile," IJFS, MDPI, vol. 9(3), pages 1-24, September.
    17. Mawuli Segnon & Stelios Bekiros, 2019. "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers 7919, Center for Quantitative Economics (CQE), University of Muenster.

  10. Balcombe, Kelvin & Bradley, Dylan & Fraser, Iain & Hussein, Mohamud, 2016. "Consumer preferences regarding country of origin for multiple meat products," Food Policy, Elsevier, vol. 64(C), pages 49-62.

    Cited by:

    1. Kelvin Balcombe & Dylan Bradley & Iain Fraser, 2021. "Consumer Preferences for Chlorine Washed Chicken, Attitudes to Brexit and Trade Agreements," Studies in Economics 2112, School of Economics, University of Kent.
    2. Wen Lin & David L Ortega & Vincenzina Caputo, 2023. "Experimental quantity, mental budgeting and food choice: a discrete choice experiment application," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 457-496.
    3. Gschwandtner, Adelina & Burton, Michael, 2017. "The Willingness to Pay for Organic Attributes in the UK," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258644, Agricultural Economics Society.
    4. Yang, Yang & Hobbs, Jill E. & Natcher, David C., 2020. "Assessing consumer willingness to pay for Arctic food products," Food Policy, Elsevier, vol. 92(C).
    5. Tommaso Fantechi & Caterina Contini & Gabriele Scozzafava & Leonardo Casini, 2022. "Consumer preferences for wild game meat: evidence from a hybrid choice model on wild boar meat in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-18, December.
    6. Kassas, Bachir & Cao, Xiang & Gao, Zhifeng & House, Lisa A. & Guan, Zhengfei, 2023. "Consumer preferences for country of origin labeling: Bridging the gap between research estimates and real-world behavior," Journal of choice modelling, Elsevier, vol. 48(C).
    7. Ali Eldesouky & Francisco J. Mesias & Miguel Escribano, 2020. "Consumer Assessment of Sustainability Traits in Meat Production. A Choice Experiment Study in Spain," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    8. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    9. Fraser, Iain & Balcombe, Kelvin & Williams, Louis & McSorley, Eugene, 2021. "Preference stability in discrete choice experiments. Some evidence using eye-tracking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    10. Fabio Boncinelli & Andrea Dominici & Federico Bondioni & Enrico Marone, 2024. "Consumers bahavior towards the country of origin labeling policy: The case of the pasta market in Italy," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 46-69, January.
    11. Kelvin Balcombe & Dylan Bradley & Iain Fraser, 2020. "The Economic Analysis of Consumer Attitudes Towards Food Produced Using Prohibited Production Methods: Do Consumers Really Care?," Studies in Economics 2004, School of Economics, University of Kent.
    12. Collins Asante‐Addo & Daniela Weible, 2020. "Is there hope for domestically produced poultry meat? A choice experiment of consumers in Ghana," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 281-298, April.
    13. Carsten Herbes & Johannes Dahlin & Peter Kurz, 2020. "Consumer Willingness To Pay for Proenvironmental Attributes of Biogas Digestate-Based Potting Soil," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    14. Lin Bai & Zhanguo Zhu & Tong Zhang, 2021. "How to Improve Food Quality in the Domestic Market: The Role of “Same Line Same Standard Same Quality”—Evidence from a Consumer Choice Experiment in China," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    15. Carlsson, Fredrik & Kataria, Mitesh & Lampi, Elina, 2022. "Sustainable food: Can information from food labels make consumers switch to meat substitutes?," Ecological Economics, Elsevier, vol. 201(C).
    16. Shijiu Yin & Shanshan Lv & Yusheng Chen & Linhai Wu & Mo Chen & Jiang Yan, 2018. "Consumer preference for infant milk‐based formula with select food safety information attributes: Evidence from a choice experiment in China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(4), pages 557-569, December.
    17. Amanda Norris & John Cranfield, 2019. "Consumer Preferences for Country‐of‐Origin Labeling in Protected Markets: Evidence from the Canadian Dairy Market," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(3), pages 391-403, September.
    18. Sawssan Boufous & Darren Hudson & Carlos Carpio, 2023. "Consumer willingness to pay for production attributes of cotton apparel," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 1026-1048, October.
    19. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.
    20. Ching‐Hua Yeh & Stefan Hirsch, 2023. "A meta‐regression analysis on the willingness‐to‐pay for country‐of‐origin labelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 719-743, September.
    21. Regan, Mark & Keane, Claire & Walsh, John R, 2018. "Using behavioural experiments to pre-test policy," Papers BP2019/2, Economic and Social Research Institute (ESRI).
    22. Bruno Larue, 2018. "Economic Integration Reconsidered," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(1), pages 5-25, March.
    23. Dimitris Skalkos & Ioanna S. Kosma & Eleni Chasioti & Thomas Bintsis & Haralabos C. Karantonis, 2021. "Consumers’ Perception on Traceability of Greek Traditional Foods in the Post-COVID-19 Era," Sustainability, MDPI, vol. 13(22), pages 1-17, November.

  11. Ali Chalak & Mohamad Abiad & Kelvin Balcombe, 2016. "Joint use of attribute importance rankings and non-attendance data in choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(5), pages 737-760.

    Cited by:

    1. Chen, Xuqi & Shen, Meng & Gao, Zhifeng, 2017. "Impact of Intra-respondent Variations in Attribute Attendance on Consumer Preference in Food Choice," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258509, Agricultural and Applied Economics Association.
    2. Dan Pan, 2016. "The Design of Policy Instruments towards Sustainable Livestock Production in China: An Application of the Choice Experiment Method," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
    3. Logar, Ivana & Brouwer, Roy & Campbell, Danny, 2020. "Does attribute order influence attribute-information processing in discrete choice experiments?," Resource and Energy Economics, Elsevier, vol. 60(C).
    4. Kassas, Bachir & Cao, Xiang & Gao, Zhifeng & House, Lisa A. & Guan, Zhengfei, 2023. "Consumer preferences for country of origin labeling: Bridging the gap between research estimates and real-world behavior," Journal of choice modelling, Elsevier, vol. 48(C).
    5. Yangui, Ahmed & Akaichi, Faical & Costa-Font, Montserrat & Gil, Jose Maria, 2019. "Comparing results of ranking conjoint analyses, best–worst scaling and discrete choice experiments in a nonhypothetical context," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), April.
    6. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    7. Espinosa-Goded, María & Rodriguez-Entrena, Macario & Salazar-Ordóñez, Melania, 2021. "A straightforward diagnostic tool to identify attribute non-attendance in discrete choice experiments," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 211-226.
    8. Gonçalves, Tânia & Pinto, Lígia M. Costa & Lourenço-Gomes, Lina, 2020. "Attribute non-attendance in wine choice: Contrasts between stated and inferred approaches," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 262-275.
    9. Sandra Notaro & Maria De Salvo & Roberta Raffaelli, 2022. "Estimating Willingness to Pay for Alpine Pastures: A Discrete Choice Experiment Accounting for Attribute Non-Attendance," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    10. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    11. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.

  12. Kelvin Balcombe & Iain Fraser & Ben Lowe & Diogo Souza Monteiro, 2016. "Information Customization and Food Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 54-73.

    Cited by:

    1. Gschwandtner, A., 2018. "Improving Drinking Water Quality in South Korea: A Choice Experiment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277418, International Association of Agricultural Economists.
    2. Villas-Boas, Sofia B & Kiesel, Kristin & Berning, Joshua & Chouinard, Hayley & McCluskey, Jill, 2019. "Consumer and Strategic Firm Response to Nutrition Shelf Labels," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt58j648mk, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Dorfman, Jeffrey H. & Grant, Jared D. & Gundersen, Craig G., 2023. "Moving Toward a Continuous Local Food Access Measure," 2023 Annual Meeting, July 23-25, Washington D.C. 335581, Agricultural and Applied Economics Association.
    4. Gschwandtner, Adelina & Burton, Michael, 2017. "The Willingness to Pay for Organic Attributes in the UK," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258644, Agricultural Economics Society.
    5. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    6. Pambo, Kennedy O. & Okello, Julius J. & Mbeche, Robert & Kinyuru, John N., 2016. "Consumer Acceptance of Edible Insects for Non-Meat Protein in Western Kenya," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246317, African Association of Agricultural Economists (AAAE).
    7. Huseynov, Samir & Krajbich, Ian & Palma, Marco A., 2018. "No Time to Think: Food Decision-Making under Time Pressure," 2018 Annual Meeting, August 5-7, Washington, D.C. 274135, Agricultural and Applied Economics Association.
    8. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.
    9. I. G. Ukpong & K. G. Balcombe & I. M. Fraser & F. J. Areal, 2019. "Preferences for Mitigation of the Negative Impacts of the Oil and Gas Industry in the Niger Delta Region of Nigeria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 811-843, October.

  13. Areal, Francisco José & Balcombe, Kevin & Rapsomanikis, George, 2016. "Testing for bubbles in agriculture commodity markets," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 16(01), June.
    See citations under working paper version above.
  14. Kelvin Balcombe & Iain Fraser, 2015. "Parametric preference functionals under risk in the gain domain: A Bayesian analysis," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 161-187, April.

    Cited by:

    1. Konstantinos Georgalos, 2016. "Dynamic decision making under ambiguity," Working Papers 112111041, Lancaster University Management School, Economics Department.
    2. Toritseju Begho & Kelvin Balcombe, 2023. "Attitudes to Risk and Uncertainty: New Insights From an Experiment Using Interval Prospects," SAGE Open, , vol. 13(3), pages 21582440231, July.
    3. Maren Baars & Michael Goedde‐Menke, 2022. "Ignorance illusion in decisions under risk: The impact of perceived expertise on probability weighting," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(1), pages 35-62, March.
    4. Konstantinos Georgalos & Ivan Paya & David Peel, 2023. "Higher order risk attitudes: new model insights and heterogeneity of preferences," Experimental Economics, Springer;Economic Science Association, vol. 26(1), pages 145-192, March.
    5. Konstantinos Georgalos & Nathan Nabil, 2023. "Heuristics Unveiled," Working Papers 400814162, Lancaster University Management School, Economics Department.
    6. Galizzi, Matteo M. & Machado, Sara R. & Miniaci, Raffaele, 2016. "Temporal stability, cross-validity, and external validity of risk preferences measures: experimental evidence from a UK representative sample," LSE Research Online Documents on Economics 67554, London School of Economics and Political Science, LSE Library.
    7. Ilke Aydogan & Yu Gao, 2020. "Experience and rationality under risk: re-examining the impact of sampling experience," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1100-1128, December.
    8. Alam, Jessica & Georgalos, Konstantinos & Rolls, Harrison, 2022. "Risk preferences, gender effects and Bayesian econometrics," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 168-183.
    9. Georgalos, Konstantinos, 2021. "Dynamic decision making under ambiguity: An experimental investigation," Games and Economic Behavior, Elsevier, vol. 127(C), pages 28-46.
    10. Kelvin Balcombe & Iain Fraser & Abhijit Sharma, 2021. "An econometric analysis of salience theory," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 545-554, October.
    11. Konstantinos Georgalos & Nathan Nabil, 2023. "Testing Models of Complexity Aversion," Working Papers 400814269, Lancaster University Management School, Economics Department.
    12. Konstantinos Georgalos, 2019. "An experimental test of the predictive power of dynamic ambiguity models," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 51-83, August.
    13. Müller, Julia & Li, Zhihua & Wakker, Peter P. & Wang, Tong V., 2016. "The Rich Domain of Ambiguity Explored," VfS Annual Conference 2016 (Augsburg): Demographic Change 145734, Verein für Socialpolitik / German Economic Association.
    14. Li, Baibing & Hensher, David A., 2017. "Risky weighting in discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 1-21.
    15. Mehmet Kutluay & Roy Brouwer & Richard S. J. Tol, 2017. "Preference updating in public health risk valuation," Working Paper Series 1517, Department of Economics, University of Sussex Business School.
    16. Monica Novackova & Richard S.J. Tol, 2018. "Climate Change Awareness and Willingness to Pay for its Mitigation: Evidence from the UK," Working Paper Series 0318, Department of Economics, University of Sussex Business School.
    17. Balcombe, Kelvin & Fraser, Iain, 2024. "A Note on an Alternative Approach to Experimental Design of Lottery Prospects," MPRA Paper 119743, University Library of Munich, Germany.
    18. Balcombe, Kelvin & Bardsley, Nicholas & Dadzie, Sam & Fraser, Iain, 2019. "Estimating parametric loss aversion with prospect theory: Recognising and dealing with size dependence," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 106-119.
    19. Glenn W. Harrison & J. Todd Swarthout, 2016. "Cumulative Prospect Theory in the Laboratory: A Reconsideration," Experimental Economics Center Working Paper Series 2016-04, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    20. Markus Glatt & Roy Brouwer & Ivana Logar, 2019. "Combining Risk Attitudes in a Lottery Game and Flood Risk Protection Decisions in a Discrete Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1533-1562, December.

  15. Kelvin Balcombe & Iain Fraser & Eugene McSorley, 2015. "Visual Attention and Attribute Attendance in Multi‐Attribute Choice Experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 447-467, April.
    See citations under working paper version above.
  16. Matthew J. Salois & Kelvin G. Balcombe, 2015. "A Generalized Bayesian Instrumental Variable Approach under Student t-distributed Errors with Application," Manchester School, University of Manchester, vol. 83(5), pages 499-522, September.

    Cited by:

    1. Fernández-Amador, Octavio & Oberdabernig, Doris & Tomberger, Patrick, 2017. "Testing for Convergence in Carbon Dioxide Emissions using a Bayesian Robust Structural Model," Papers 1101, World Trade Institute.

  17. Breeze, T.D. & Bailey, A.P. & Potts, S.G. & Balcombe, K.G., 2015. "A stated preference valuation of the non-market benefits of pollination services in the UK," Ecological Economics, Elsevier, vol. 111(C), pages 76-85.

    Cited by:

    1. Khachatryan, Hayk & Rihn, Alicia, 2018. "Defining U. S. Consumers' (mis)perceptions of Pollinator Friendly Labels: An Exploratory Study," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(3), February.
    2. Zabala, José A. & Martínez-Paz, José M. & Alcon, Francisco, 2021. "Integrated valuation of semiarid Mediterranean agroecosystem services and disservices," Ecological Economics, Elsevier, vol. 184(C).
    3. Grammatikopoulou, Ioanna & Pouta, Eija & Artell, Janne, 2019. "Heterogeneity and attribute non-attendance in preferences for peatland conservation," Forest Policy and Economics, Elsevier, vol. 104(C), pages 45-55.
    4. Manuela Plutino & Elisa Bianchetto & Alessandra Durazzo & Massimo Lucarini & Luigi Lucini & Ilaria Negri, 2022. "Rethinking the Connections between Ecosystem Services, Pollinators, Pollution, and Health: Focus on Air Pollution and Its Impacts," IJERPH, MDPI, vol. 19(5), pages 1-19, March.
    5. Hayk Khachatryan & Alicia L. Rihn & Benjamin Campbell & Chengyan Yue & Charles Hall & Bridget Behe, 2017. "Visual Attention to Eco-Labels Predicts Consumer Preferences for Pollinator Friendly Plants," Sustainability, MDPI, vol. 9(10), pages 1-14, September.
    6. Campbell, Ben & Khachatryan, Hayk & Rihn, Alicia, 2017. "Pollinator Friendly Plants: Reasons for and Barriers to Purchase," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252763, Southern Agricultural Economics Association.
    7. Mwebaze, Paul & Marris, Gay C. & Brown, Mike & MacLeod, Alan & Jones, Glyn & Budge, Giles E., 2018. "Measuring public perception and preferences for ecosystem services: A case study of bee pollination in the UK," Land Use Policy, Elsevier, vol. 71(C), pages 355-362.
    8. Rafaella Guimarães Porto & Rita Fernandes Almeida & Oswaldo Cruz-Neto & Marcelo Tabarelli & Blandina Felipe Viana & Carlos A. Peres & Ariadna Valentina Lopes, 2020. "Pollination ecosystem services: A comprehensive review of economic values, research funding and policy actions," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(6), pages 1425-1442, December.
    9. Céline Moreaux & Jette Bredahl Jacobsen & Jürgen Meyerhoff & Bo Dalsgaard & Carsten Rahbek & Niels Strange, 2023. "Distance and Regional Effects on the Value of Wild Bee Conservation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 37-63, January.

  18. Rigby, Dan & Burton, Michael & Balcombe, Kelvin & Bateman, Ian & Mulatu, Abay, 2015. "Contract cheating & the market in essays," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 23-37.

    Cited by:

    1. Terris-Prestholt, Fern & Mulatu, Abay & Quaife, Matthew & Gafos, Mitzy & Medley, Graham F. & MacPhail, Catherine & Hanson, Kara, 2021. "Using choice experiments to improve equity in access to socially marketed HIV prevention products," Journal of choice modelling, Elsevier, vol. 41(C).

  19. Kelvin Balcombe & Michail Bitzios & Iain Fraser & Janet Haddock-Fraser, 2014. "Using Attribute Importance Rankings Within Discrete Choice Experiments: An Application to Valuing Bread Attributes," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 446-462, June.
    See citations under working paper version above.
  20. Ariane Kehlbacher & Kelvin Balcombe & Richard Bennett, 2013. "Stated Attribute Non-attendance in Successive Choice Experiments," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 693-706, September.

    Cited by:

    1. Chen, Xuqi & Shen, Meng & Gao, Zhifeng, 2017. "Impact of Intra-respondent Variations in Attribute Attendance on Consumer Preference in Food Choice," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258509, Agricultural and Applied Economics Association.
    2. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    3. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    4. Gonçalves, Tânia & Pinto, Lígia M. Costa & Lourenço-Gomes, Lina, 2020. "Attribute non-attendance in wine choice: Contrasts between stated and inferred approaches," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 262-275.
    5. Wu, Cheng-Lung & So, T.H. Hanson, 2018. "On the flight choice behaviour of business-purpose passengers in the Australian domestic air market," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 56-67.
    6. Sandra Notaro & Maria De Salvo & Roberta Raffaelli, 2022. "Estimating Willingness to Pay for Alpine Pastures: A Discrete Choice Experiment Accounting for Attribute Non-Attendance," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    7. Yangui, A. & Akaichi, F. & Gil, J.M., 2018. "Investigating attribute non-attendance effects in conjoint analysis methods performance: Choice experiment, ranking conjoint analysis and best worst scaling," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275989, International Association of Agricultural Economists.
    8. Breeze, T.D. & Bailey, A.P. & Potts, S.G. & Balcombe, K.G., 2015. "A stated preference valuation of the non-market benefits of pollination services in the UK," Ecological Economics, Elsevier, vol. 111(C), pages 76-85.

  21. Richard Bennett & Kelvin Balcombe, 2012. "Farmers’ Willingness to Pay for a Tuberculosis Cattle Vaccine," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(2), pages 408-424, June.

    Cited by:

    1. Pierre-Alexandre Mahieu & Henrik Andersson & Olivier Beaumais & Romain Crastes dit Sourd & Stephane Hess & François-Charles Wolff, 2017. "Stated preferences: a unique database composed of 1657 recent published articles in journals related to agriculture, environment, or health," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(3), pages 201-220, December.
    2. Nthambi, Mary & Lembo, Tiziana & Davis, Alicia & Nasuwa, Fortunata & Mmbaga, Blandina Theophil & Matthews, Louise & Hanley, Nick, 2023. "Quantifying farmers' preferences for antimicrobial use for livestock diseases in northern Tanzania," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334570, Agricultural Economics Society - AES.
    3. Sauthoff, Saramena & Anastassiadis, Friederike & Mußhoff, Oliver, 2015. "Analyzing farmers’ preferences for substrate supply contracts for sugar beets," Department of Agricultural and Rural Development (DARE) Discussion Papers 260783, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    4. Pengfei Liu & Lingling Hou & Dongqing Li & Shi Min & Yueying Mu, 2021. "Determinants of Livestock Insurance Demand: Experimental Evidence from Chinese Herders," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 430-451, June.
    5. Bui Bich Xuan & Erlend Dancke Sandorf, 2020. "Potential for Sustainable Aquaculture: Insights from Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(2), pages 401-421, October.
    6. Samal Kaliyeva & Francisco Jose Areal & Yiorgos Gadanakis, 2021. "Would Kazakh Citizens Support a Milk Co-Operative System?," Agriculture, MDPI, vol. 11(7), pages 1-19, July.
    7. Wudu T Jemberu & Wassie Molla & Tigabu Dagnew & Jonathan Rushton & Henk Hogeveen, 2020. "Farmers’ willingness to pay for foot and mouth disease vaccine in different cattle production systems in Amhara region of Ethiopia," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-12, October.
    8. Ugochukwu, Albert I. & Phillips, Peter W. B., 2019. "Canadian beef and dairy farmers’ attitudes towards animal vaccines," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
    9. Andrew J K Conlan & Ellen Brooks Pollock & Trevelyan J McKinley & Andrew P Mitchell & Gareth J Jones & Martin Vordermeier & James L N Wood, 2015. "Potential Benefits of Cattle Vaccination as a Supplementary Control for Bovine Tuberculosis," PLOS Computational Biology, Public Library of Science, vol. 11(2), pages 1-27, February.
    10. Zhang, Haifeng & Kono, Hiroichi & Kubota, Satoko & Wang, Jun, 2015. "Farmers’ Willingness to Pay for a Porcine Reproductive and Respiratory Syndrome (PRRS) Vaccine in Thua Thien Hue Province, Vietnam," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(2), pages 1-14, May.
    11. Pierre-Alexandre Mahieu & Henrik Andersson & Olivier Beaumais & Romain Crastes & François-Charles Wolff, 2014. "Is Choice Experiment Becoming more Popular than Contingent Valuation? A Systematic Review in Agriculture, Environment and Health," Working Papers 2014.12, FAERE - French Association of Environmental and Resource Economists.
    12. Zhang, Haifeng & Kono, Hiroichi & Kubota, Satoko, 2014. "Farmers’ Preferences and Attitudes Toward Porcine Reproductive and Respiratory Syndrome (PRRS) Vaccination in Vietnam," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183038, European Association of Agricultural Economists.

  22. Kehlbacher, A. & Bennett, R. & Balcombe, K., 2012. "Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling," Food Policy, Elsevier, vol. 37(6), pages 627-633.

    Cited by:

    1. Inken Christoph-Schulz & Anja-Karolina Rovers, 2020. "German Citizens’ Perception of Fattening Pig Husbandry—Evidence from a Mixed Methods Approach," Agriculture, MDPI, vol. 10(8), pages 1-20, August.
    2. Santeramo, Fabio Gaetano & Carlucci, Domenico & De Devitiis, Biagia & Seccia, Antonio & Stasi, Antonio & Viscecchia, Rosaria & Nardone, Gianluca, 2017. "Emerging trends in European food, diets and food industry," MPRA Paper 82105, University Library of Munich, Germany.
    3. Weinrich, Ramona & Franz, Annabell & Spiller, Achim, 2015. "Multi-level labelling: Too complex for consumers?," DARE Discussion Papers 1512, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    4. Tebbe, Eva & von Blanckenburg, Korbinian, 2017. "Does willingness to pay increase with the number and strictness of sustainability labels?," VfS Annual Conference 2016 (Augsburg): Demographic Change 145556, Verein für Socialpolitik / German Economic Association, revised 2017.
    5. More, S.J. & Marchewka, J. & Hanlon, A. & Balzani, A. & Boyle, L., 2021. "An evaluation of four private animal health and welfare standards and associated quality assurance programmes for dairy cow production," Food Policy, Elsevier, vol. 105(C).
    6. Weinrich, Ramona & Kühl, Sarah & Zühlsdorf, Anke & Spiller, Achim, 2014. "Consumer Attitudes in Germany towards Different Dairy Housing Systems and Their Implications for the Marketing of Pasture Raised Milk," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(4), pages 1-18, November.
    7. Alexander J. Stein & Marcelo Lima, 2022. "Sustainable food labelling: considerations for policy-makers," Review of Agricultural, Food and Environmental Studies, Springer, vol. 103(2), pages 143-160, June.
    8. Clark, Beth & Stewart, Gavin B. & Panzone, Luca A. & Kyriazakis, Ilias & Frewer, Lynn J., 2017. "Citizens, consumers and farm animal welfare: A meta-analysis of willingness-to-pay studies," Food Policy, Elsevier, vol. 68(C), pages 112-127.
    9. Faical Akaichi & Klaus Glenk & Cesar Revoredo‐Giha, 2022. "Bundling food labels: What role could the labels “Organic,” “Local” and “Low Fat” play in fostering the demand for animal‐friendly meat," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 349-370, April.
    10. Jessica Bosseaux & Philippe Aurier & Alain François-Heude, 2019. "The Effects of Organic Label on Marketing Performance (Prices, Sales, and Margins) [Les Effets du Label Bio sur la Performance Marketing (Prix, ventes et marges)]," Post-Print hal-03079843, HAL.
    11. Ulrich J Frey & Frauke Pirscher, 2018. "Willingness to pay and moral stance: The case of farm animal welfare in Germany," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-20, August.
    12. Heise, Heinke & Theuvsen, Ludwig, 2016. "What do consumers think about farm animal welfare in modern agriculture? Attitudes and shopping behaviour," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(3), November.
    13. Michael Vassalos & Zhifeng Gao & Lisha Zhang, 2017. "Factors Affecting Current and Future CSA Participation," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    14. Francesca Gerini & Frode Alfnes & Alexander Schjøll, 2016. "Organic- and Animal Welfare-labelled Eggs: Competing for the Same Consumers?," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 471-490, June.
    15. Patterson, Jacinta & Mugera, Amin & Burton, Michael, 2015. "Consumer Preferences for Welfare Friendly Production Methods: The Case of Chicken Production in Western Australia," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202567, Australian Agricultural and Resource Economics Society.
    16. Petershammer, Silke & Dahlhausen, Johanna & Roosen, Jutta, 2016. "Zahlungsbereitschaft Für Tierwohl," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244890, German Association of Agricultural Economists (GEWISOLA).
    17. Weinrich, Ramona & Spiller, Achim, 2015. "Developing food labelling strategies with the help of extremeness aversion," DARE Discussion Papers 1511, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    18. Jessica Bosseaux & Philippe Aurier & Alain François-Heude, 2019. "The official quality signs influence on prices and volumes: the case of organic fresh eggs [L’influence du label Bio sur les prix et les ventes : Le cas des oeufs]," Post-Print hal-03079779, HAL.
    19. Yang, Wei & Rennie, Grant & Ledgard, Stewart & Mercer, Geoff & Lucci, Gina, 2020. "Impact of delivering ‘green’ dairy products on farm in New Zealand," Agricultural Systems, Elsevier, vol. 178(C).
    20. Veljković, Saša & Stojanović, Žaklina & Filipović, Jelena, 2015. "Attitudes Toward Farm Animals Welfare And Consumer’S Buying Intentions - Case Of Serbia," Economics of Agriculture, Institute of Agricultural Economics, vol. 62(1), pages 1-19, March.
    21. Schulte, Hinrich D. & Armbrecht, Linda & Bürger, Rasmus & Gauly, Matthias & Musshoff, Oliver & Hüttel, Silke, 2018. "Let the cows graze: An empirical investigation on the trade-off between efficiency and farm animal welfare in milk production," Land Use Policy, Elsevier, vol. 79(C), pages 375-385.
    22. Uehleke, Reinhard & Hüttel, Silke, 2016. "The Hypothetical Free-Rider Deficit In The Demand For Farm Animal Welfare Labeled Meat," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244866, German Association of Agricultural Economists (GEWISOLA).
    23. Yang, W. & Renwich, A., 2018. "Consumer Willingness to Pay Price Premium for Credence Attributes of Livestock Products A Meta-Analysis method," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277320, International Association of Agricultural Economists.
    24. Mergenthaler, Marcus & Schröter, Iris, 2020. "Institutionelle Grenzen und Perspektiven bei der ökonomischen Bewertung und der Bereitstellung von Tierwohl," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305598, German Association of Agricultural Economists (GEWISOLA).

  23. Francisco José Areal & Kelvin Balcombe & Richard Tiffin, 2012. "Integrating spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 521-541, October.
    See citations under working paper version above.
  24. Areal, Francisco J. & Tiffin, Richard & Balcombe, Kelvin G., 2012. "Provision of environmental output within a multi-output distance function approach," Ecological Economics, Elsevier, vol. 78(C), pages 47-54.
    See citations under working paper version above.
  25. Areal, Francisco Jose & Balcombe, Kelvin & Tiffin, Richard, 2012. "Integrated spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-21, December.

    Cited by:

    1. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    2. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    3. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    4. Dragan Milić & Tihomir Novaković & Dragana Tekić & Bojan Matkovski & Danilo Đokić & Stanislav Zekić, 2023. "Economic Sustainability of the Milk and Dairy Supply Chain: Evidence from Serbia," Sustainability, MDPI, vol. 15(21), pages 1-21, October.
    5. Mamiit, Rusyan Jill & Yanagida, John & Villanueva, Donald, 2020. "Farm locations and dwelling clusters: Do they make production and technical efficiency spatially contagious?," Food Policy, Elsevier, vol. 92(C).
    6. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    7. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
    8. Javier García-Gudiño & Elena Angón & Isabel Blanco-Penedo & Florence Garcia-Launay & José Perea, 2022. "Targeting Environmental and Technical Parameters through Eco-Efficiency Criteria for Iberian Pig Farms in the dehesa Ecosystem," Agriculture, MDPI, vol. 13(1), pages 1-15, December.
    9. Ang, Frederic & Jan Kerstens, Pieter, 2016. "To mix or specialise? A coordination productivity indicator for English and Welsh farms," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236337, Agricultural Economics Society.
    10. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    11. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    12. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    13. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
    14. Villanueva, Donald B. & Pede, Valerien O. & Rodriguez, U-Primo E. & Sumalde, Zenaida M. & Garcia, Yolanda T., 2017. "Assessment of Neighborhood and Spillover Effects on Technical Efficiency of Irrigated Rice Farmers," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 14(2), December.
    15. Yuan, Lingran & Zhang, Qizheng & Wang, Shuo & Hu, Weibin & Gong, Binlei, 2022. "Effects of international trade on world agricultural production and productivity: evidence from a panel of 126 countries 1962-2014," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(2), March.
    16. Adjin, K. Christophe & Henning, Christian H. C. A., 2020. "Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture," Working Papers of Agricultural Policy WP2020-09, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    17. Skevas, Ioannis, 2020. "Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms," European Journal of Operational Research, Elsevier, vol. 283(1), pages 356-364.
    18. Jerzy Marzec & Andrzej Pisulewski, 2021. "Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 152-161.
    19. Omotuyole Isiaka Ambali & Francisco Jose Areal & Nikolaos Georgantzis, 2021. "On Spatially Dependent Risk Preferences: The Case of Nigerian Farmers," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    20. Kevin Schneider & Ioannis Skevas & Alfons Oude Lansink, 2021. "Spatial Spillovers on Input‐specific Inefficiency of Dutch Arable Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 224-243, February.
    21. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
    22. Yiorgos Gadanakis & Francisco José Areal, 2020. "Accounting for rainfall and the length of growing season in technical efficiency analysis," Operational Research, Springer, vol. 20(4), pages 2583-2608, December.
    23. Sadick Mohammed & Awudu Abdulai, 2022. "Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana," Journal of Productivity Analysis, Springer, vol. 58(2), pages 109-128, December.
    24. Omotuyole Isiaka Ambali & Francisco Jose Areal & Nikolaos Georgantzis, 2021. "Improved Rice Technology Adoption: The Role of Spatially-Dependent Risk Preference," Agriculture, MDPI, vol. 11(8), pages 1-13, July.
    25. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    26. Laureti, Tiziana & Benedetti, Ilaria & Branca, Giacomo, 2021. "Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    27. Francisco J. Areal & Wantao Yu & Kevin Tansey & Jiahuan Liu, 2022. "Measuring Sustainable Intensification Using Satellite Remote Sensing Data," Sustainability, MDPI, vol. 14(3), pages 1-13, February.
    28. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    29. Fusco, Elisa & Allegrini, Veronica, 2020. "The role of spatial interdependence in local government cost efficiency: An application to waste Italian sector," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    30. Vidoli, Francesco & Canello, Jacopo, 2016. "Controlling for spatial heterogeneity in nonparametric efficiency models: An empirical proposal," European Journal of Operational Research, Elsevier, vol. 249(2), pages 771-783.
    31. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    32. Theodoros Skevas & Jasper Grashuis, 2020. "Technical efficiency and spatial spillovers: Evidence from grain marketing cooperatives in the US Midwest," Agribusiness, John Wiley & Sons, Ltd., vol. 36(1), pages 111-126, January.
    33. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    34. A. G. Billé & C. Salvioni & R. Benedetti, 2018. "Modelling spatial regimes in farms technologies," Journal of Productivity Analysis, Springer, vol. 49(2), pages 173-185, June.
    35. MCarmen Martínez†Victoria & Mariluz Maté Sánchez†Val & Narciso Arcas†Lario, 2018. "Spatial determinants of productivity growth on agri†food Spanish firms: a comparison between cooperatives and investor†owned firms," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 213-223, March.

  26. Matthew J. Salois & Richard Tiffin & Kelvin G. Balcombe, 2012. "Impact of Income on Nutrient Intakes: Implications for Undernourishment and Obesity," Journal of Development Studies, Taylor & Francis Journals, vol. 48(12), pages 1716-1730, December.

    Cited by:

    1. Bhuyan, Biswabhusan & Sahoo, Bimal Kishore & Suar, Damodar, 2020. "Nutritional status, poverty, and relative deprivation among socio-economic and gender groups in India: Is the growth inclusive?," World Development Perspectives, Elsevier, vol. 18(C).
    2. María Priscila Ramos & Estefanía Custodio & Sofía Jiménez & Alfredo J. Mainar-Causapé & Pierre Boulanger & Emanuele Ferrari, 2022. "Do agri-food market incentives improve food security and nutrition indicators? a microsimulation evaluation for Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 209-227, February.
    3. Samuel Kobina Annim & Raymond Boadi Frempong, 2018. "Effects of access to credit and income on dietary diversity in Ghana," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(6), pages 1649-1663, December.
    4. Baffes,John & Kabundi,Alain Ntumba & Nagle,Peter Stephen Oliver & Ohnsorge,Franziska Lieselotte, 2018. "The role of major emerging markets in global commodity demand," Policy Research Working Paper Series 8495, The World Bank.
    5. Melo, P. C. & Abdul-Salam, Yakubu & Roberts, D. & Colen, L. & Mary, S. & Gomez Y Paloma, S., 2016. "Income growth and malnutrition in Africa: Is there a need for region-specific policies?," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236372, Agricultural Economics Society.
    6. Ogundari, Kolawole & Ito, Shoichi & Okoruwa, Victor, 2014. "Estimating nutrition-income elasticities in sub-Saharan African:Implication on health," MPRA Paper 63523, University Library of Munich, Germany.
    7. De Zhou & Xiaohua Yu, 2015. "Calorie Elasticities with Income Dynamics: Evidence from the Literature," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 37(4), pages 575-601.
    8. Colen, L. & Melo, P.C. & Abdul-Salam, Y. & Roberts, D. & Mary, S. & Gomez Y Paloma, S., 2018. "Income elasticities for food, calories and nutrients across Africa: A meta-analysis," Food Policy, Elsevier, vol. 77(C), pages 116-132.
    9. Jorge Valero-Gil & Magali Valero, 2013. "Nutritional Intake and Poverty in Mexico: 1984--2010," Journal of Development Studies, Taylor & Francis Journals, vol. 49(10), pages 1375-1396, October.
    10. Patricia C Melo & Yakubu Abdul-Salam & Deborah Roberts & Alana Gilbert & Robin Matthews & Liesbeth Colen & Sergio Gomez Y Paloma, 2015. "Income Elasticities of Food Demand in Africa: A Meta-Analysis," JRC Research Reports JRC98812, Joint Research Centre.
    11. Ogundari, Kolawole & Abdulai, Awudu, 2013. "Examining the heterogeneity in calorie–income elasticities: A meta-analysis," Food Policy, Elsevier, vol. 40(C), pages 119-128.
    12. Jiajun Zhou & Sirimaporn Leepromrath & Xu Tian & De Zhou, 2020. "Dynamics of Chinese Diet Divergence from Chinese Food Pagoda and Its Association with Adiposity and Influential Factors: 2004–2011," IJERPH, MDPI, vol. 17(2), pages 1-22, January.
    13. Naveed Hayat & Ghulam Mustafa & Bader Alhafi Alotaibi & Abou Traore, 2022. "Nutritional Demand and Consumption Pattern: A Case Study of Pakistan," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    14. Ogundari, Kolawole & Aromolaran, Adebayo, 2016. "On the causal relationship between nutrition and economic Growth: Evidence from sub-Saharan Africa," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235352, Agricultural and Applied Economics Association.
    15. Mohammad Ali & Kira M. Villa & Janak Joshi, 2018. "Health and hunger: nutrient response to income depending on caloric availability in Nepal," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 611-621, September.

  27. Balcombe, Kelvin & Burton, Michael & Rigby, Dan, 2011. "Skew and attribute non-attendance within the Bayesian mixed logit model," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 446-461.

    Cited by:

    1. Kelvin Balcombe & Michail Bitzios & Iain Fraser & Janet Haddock-Fraser, 2014. "Using Attribute Importance Rankings Within Discrete Choice Experiments: An Application to Valuing Bread Attributes," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 446-462, June.
    2. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    3. DeLong, Karen L. & Syrengelas, Konstantinos G. & Grebitus, Carola & Nayga, Rodolfo M., 2021. "Visual versus Text Attribute Representation in Choice Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    4. Marit E. Kragt, 2013. "Stated and Inferred Attribute Attendance Models: A Comparison with Environmental Choice Experiments," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 719-736, September.
    5. Ariane Kehlbacher & Kelvin Balcombe & Richard Bennett, 2013. "Stated Attribute Non-attendance in Successive Choice Experiments," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 693-706, September.
    6. Brent, Daniel A. & Gangadharan, Lata & Leroux, Anke & Raschky, Paul, 2016. "Putting Your Money Where Your Month Is," 2016 Conference (60th), February 2-5, 2016, Canberra, Australia 235377, Australian Agricultural and Resource Economics Society.
    7. Huang, Pei & McCarl, Bruce A., 2014. "Estimating Decadal Climate Variability Effects on Crop Yields: A Bayesian Hierarchical Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169828, Agricultural and Applied Economics Association.
    8. Caputo, Vincenzina & Nayga, M. Rodolfo Jr. & Sacchi, Giovanna & Scarpa, Riccardo, 2016. "Attribute non-attendance or attribute-level non-attendance? A choice experiment application on extra virgin olive oil," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236035, Agricultural and Applied Economics Association.
    9. Abbie A. Rogers, 2013. "Public and Expert Preference Divergence: Evidence from a Choice Experiment of Marine Reserves in Australia," Land Economics, University of Wisconsin Press, vol. 89(2), pages 346-370.
    10. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    11. Mohammed Hussen Alemu & Morten Raun Mørkbak & Søren Bøye Olsen & Carsten Lynge Jensen, 2011. "Attending to the reasons for attribute non-attendance in Choice Experiments," IFRO Working Paper 2011/8, University of Copenhagen, Department of Food and Resource Economics.
    12. Curtis Rollins, 2023. "Investigating cost non‐attendance as a driver of inflated welfare estimates in mixed‐logit models," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 921-934, September.
    13. Logar, Ivana & Brouwer, Roy & Campbell, Danny, 2020. "Does attribute order influence attribute-information processing in discrete choice experiments?," Resource and Energy Economics, Elsevier, vol. 60(C).
    14. Martino, Simone & Kenter, Jasper O. & Albers, Nora & Whittingham, Mark J. & Young, Dylan M. & Pearce-Higgins, James W. & Martin-Ortega, Julia & Glenk, Klaus & Reed, Mark S., 2022. "Trade-offs between the natural environment and recreational infrastructure: A case study about peatlands under different management scenarios," Land Use Policy, Elsevier, vol. 123(C).
    15. Kelvin Balcombe & Iain Fraser & Eugene McSorley, 2015. "Visual Attention and Attribute Attendance in Multi‐Attribute Choice Experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 447-467, April.
    16. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    17. Daniel A. Brent & Lata Gangadharan & Anke Leroux & Paul A. Raschky, 2014. "Putting One's Money Where One's Mouth is: Increasing Saliency in the Field," Monash Economics Working Papers 43-14, Monash University, Department of Economics.
    18. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    19. Daniel A. Brent & Lata Gangadharan & Anke D. Leroux & Paul A. Raschky, 2022. "Reducing bias in preference elicitation for environmental public goods," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 280-308, April.
    20. Nguyen, Thanh Cong & Robinson, Jackie & Whitty, Jennifer A. & Kaneko, Shinji & Nguyen, The Chinh, 2015. "Attribute non-attendance in discrete choice experiments: A case study in a developing country," Economic Analysis and Policy, Elsevier, vol. 47(C), pages 22-33.
    21. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association.
    22. Gonçalves, Tânia & Pinto, Lígia M. Costa & Lourenço-Gomes, Lina, 2020. "Attribute non-attendance in wine choice: Contrasts between stated and inferred approaches," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 262-275.
    23. Mertens, Kewan & Vranken, Liesbet, 2021. "Pro-poor land transfers in the presence of landslides: New insights on norms in land markets," Land Use Policy, Elsevier, vol. 101(C).
    24. Chavez, Daniel & Palma, Marco & Collart, Alba J., 2016. "Eye Tracking to Model Attribute Attendance," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230011, Southern Agricultural Economics Association.
    25. Zhang, Xumin & Khachatryan, Hayk & Gao, Zhifeng, 2020. "Using Mixed Logit Based Models to Control Attribute Nonattendance in Choice Experiments," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304547, Agricultural and Applied Economics Association.
    26. Mara Thiene & Riccardo Scarpa & Jordan Louviere, 2015. "Addressing Preference Heterogeneity, Multiple Scales and Attribute Attendance with a Correlated Finite Mixing Model of Tap Water Choice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 637-656, November.
    27. Mertens, Kewan & Vranken, Liesbet, 2018. "Land Markets, Landslides and Social Norms: New Insights from a Discrete Choice Experiment," Working Papers 280764, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    28. Pluske, Jo & Burton, Michael & Rigby, Dan & Vercoe, Phil, 2013. "Cattle breeding in Northern Australia: Revealing how consumers react to alternative technologies," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 21, pages 1-15.
    29. Sandra Notaro & Maria De Salvo & Roberta Raffaelli, 2022. "Estimating Willingness to Pay for Alpine Pastures: A Discrete Choice Experiment Accounting for Attribute Non-Attendance," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    30. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    31. Breeze, T.D. & Bailey, A.P. & Potts, S.G. & Balcombe, K.G., 2015. "A stated preference valuation of the non-market benefits of pollination services in the UK," Ecological Economics, Elsevier, vol. 111(C), pages 76-85.
    32. Stephane Hess & David Hensher, 2013. "Making use of respondent reported processing information to understand attribute importance: a latent variable scaling approach," Transportation, Springer, vol. 40(2), pages 397-412, February.
    33. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.
    34. Mørkbak, Morten Raun & Olsen, Søren Bøye & Campbell, Danny, 2014. "Behavioral implications of providing real incentives in stated choice experiments," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 102-116.
    35. Daniel A. Brent & Lata Gangadharan & Allison Lassiter & Anke Leroux & Paul A. Raschky, 2016. "Valuing Environmental Services Provided by LocalStormwater Management," Monash Economics Working Papers 35-16, Monash University, Department of Economics.
    36. Weller, Priska & Oehlmann, Malte & Mariel, Petr & Meyerhoff, Jürgen, 2014. "Stated and inferred attribute non-attendance in a design of designs approach," Journal of choice modelling, Elsevier, vol. 11(C), pages 43-56.

  28. Tiffin, Richard & Balcombe, Kelvin, 2011. "The determinants of technology adoption by UK farmers using Bayesian model averaging: the cases of organic production and computer usage," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(4), pages 1-20.
    See citations under working paper version above.
  29. Kelvin Balcombe & Iain Fraser, 2011. "A general treatment of ‘don't know’ responses from choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 171-191, June.

    Cited by:

    1. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    2. Torres, Cati & Faccioli, Michela & Riera Font, Antoni, 2017. "Waiting or acting now? The effect on willingness-to-pay of delivering inherent uncertainty information in choice experiments," Ecological Economics, Elsevier, vol. 131(C), pages 231-240.
    3. Thijs Dekker & Paul Koster & Roy Brouwer, 2013. "Changing with the Tide: Semi-Parametric Estimation of Preference Dynamics," Tinbergen Institute Discussion Papers 13-074/VIII, Tinbergen Institute.
    4. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    5. Oehlmann, Malte & Weller, Priska & Meyerhoff, Jürgen, 2014. "Complexity-induced Status Quo Effects in Discrete Choice Experiments for Environmental Valutation," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100616, Verein für Socialpolitik / German Economic Association.
    6. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    7. Kragt, Marit Ellen, 2013. "Comparing models of unobserved heterogeneity in environmental choice experiments," Working Papers 144447, University of Western Australia, School of Agricultural and Resource Economics.
    8. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.

  30. Balcombe, Kelvin & Fraser, Iain & Falco, Salvatore Di, 2010. "Traffic lights and food choice: A choice experiment examining the relationship between nutritional food labels and price," Food Policy, Elsevier, vol. 35(3), pages 211-220, June.
    See citations under working paper version above.
  31. Kelvin Balcombe & George Rapsomanikis, 2010. "An Analysis of the Impact of Research and Development on Productivity Using Bayesian Model Averaging with a Reversible Jump Algorithm," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 985-998.

    Cited by:

    1. Richard Tiffin & Kelvin Balcombe, 2011. "The determinants of technology adoption by UK farmers using Bayesian model averaging: the cases of organic production and computer usage," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(4), pages 579-598, October.
    2. Mirela Stoian & Raluca Andreea Ion & Vlad Constantin Turcea & Ionut Catalin Nica & Catalin Gheorghe Zemeleaga, 2022. "The Influence of Governmental Agricultural R&D Expenditure on Farmers’ Income—Disparities between EU Member States," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    3. Lingran Yuan & Shurui Zhang & Shuo Wang & Zesen Qian & Binlei Gong, 2021. "World agricultural convergence," Journal of Productivity Analysis, Springer, vol. 55(2), pages 135-153, April.
    4. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
    5. Claudia Schmidt & Steven C. Deller & Stephan J. Goetz, 2024. "Women farmers and community well‐being under modeling uncertainty," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(1), pages 275-299, March.
    6. Gong, Binlei, 2020. "Measuring and Achieving World Agricultural Convergence," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304347, Agricultural and Applied Economics Association.

  32. Balcombe, Kelvin & Chalak, Ali & Fraser, Iain, 2009. "Model selection for the mixed logit with Bayesian estimation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 226-237, March.

    Cited by:

    1. Kelvin Balcombe & Michail Bitzios & Iain Fraser & Janet Haddock-Fraser, 2014. "Using Attribute Importance Rankings Within Discrete Choice Experiments: An Application to Valuing Bread Attributes," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 446-462, June.
    2. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    3. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    4. Gao, Zhifeng & House, Lisa & Jing, Xie, 2013. "Online Survey Data Quality and its Implication for Willingness-to-Pay: A Cross-Country Comparison," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150777, Agricultural and Applied Economics Association.
    5. Huang, Pei & McCarl, Bruce A., 2014. "Estimating Decadal Climate Variability Effects on Crop Yields: A Bayesian Hierarchical Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169828, Agricultural and Applied Economics Association.
    6. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    7. Chenyi He & Lijia Shi & Zhifeng Gao & Lisa House, 2020. "The impact of customer ratings on consumer choice of fresh produce: A stated preference experiment approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 359-373, September.
    8. Doherty, Edel & Campbell, Danny & Hynes, Stephen, 2012. "Exploring cost heterogeneity in recreational demand," Working Papers 148832, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    9. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    10. Akinc, Deniz & Vandebroek, Martina, 2018. "Bayesian estimation of mixed logit models: Selecting an appropriate prior for the covariance matrix," Journal of choice modelling, Elsevier, vol. 29(C), pages 133-151.
    11. Kelvin Balcombe & Iain Fraser & Salvatore Di Falco, 2009. "Traffic Lights and Food Choice: A Choice Experiment Examining the Relationship Between Nutritional Food Labels and Price," Studies in Economics 0915, School of Economics, University of Kent.
    12. Grisolía, José M. & Longo, Alberto & Boeri, Marco & Hutchinson, George & Kee, Frank, 2013. "Trading off dietary choices, physical exercise and cardiovascular disease risks," Social Science & Medicine, Elsevier, vol. 93(C), pages 130-138.
    13. Zander, Kerstin K. & Signorello, Giovanni & De Salvo, Maria & Gandini, Gustavo & Drucker, Adam G., 2013. "Assessing the total economic value of threatened livestock breeds in Italy: Implications for conservation policy," Ecological Economics, Elsevier, vol. 93(C), pages 219-229.
    14. Claudia Bazzani & Marco A. Palma & Rodolfo M. Nayga, 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 185-198, April.
    15. Fontana, Magda & Iori, Martina & Nava, Consuelo Rubina, 2019. "Switching behavior in the Italian electricity retail market: Logistic and mixed effect Bayesian estimations of consumer choice," Energy Policy, Elsevier, vol. 129(C), pages 339-351.
    16. Hanley, Nicholas & Riera, Antoni & Torres, Cati, 2010. "How wrong can you be? Implications of incorrect utility function specification for welfare measurement in choice experiments," Stirling Economics Discussion Papers 2010-12, University of Stirling, Division of Economics.
    17. Daniele Asioli & Claudia Bazzani & Rodolfo M. Nayga, 2022. "Are consumers willing to pay for in‐vitro meat? An investigation of naming effects," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 356-375, June.
    18. MORITA Tamaki & MANAGI Shunsuke, 2010. "Eco-labeling of Fish and Fishery Products in Japan: Analysis of a web survey (Japanese)," Discussion Papers (Japanese) 10037, Research Institute of Economy, Trade and Industry (RIETI).
    19. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    20. Sauthoff, Saramena & Danne, Michael & Mußhoff, Oliver, 2017. "To switch or not to switch? Understanding German consumers' willingness to pay for green electricity tariff attributes," DARE Discussion Papers 1707, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    21. Van Asselt, Joanna & Nian, Yefan & Soh, Moonwon & Morgan, Stephen & Gao, Zhifeng, 2022. "Do plastic warning labels reduce consumers' willingness to pay for plastic egg packaging? – Evidence from a choice experiment," Ecological Economics, Elsevier, vol. 198(C).
    22. Rouwendal, Jan & de Blaeij, Arianne & Rietveld, Piet & Verhoef, Erik, 2010. "The information content of a stated choice experiment: A new method and its application to the value of a statistical life," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 136-151, January.
    23. Kelvin Balcombe & Iain Fraser, 2009. "A General Treatment of Non-Response Data From Choice Experiments Using Logit Models," Studies in Economics 0916, School of Economics, University of Kent.
    24. Zhang, Tong & Hu, Wuyang & Zhu, Zhanguo & Penn, Jerrod, 2023. "Consumer preference for food products addressing multiple dimensions of poverty: Evidence from China," Food Policy, Elsevier, vol. 115(C).
    25. Andersson, Henrik & Tago, Damian & Treich, Nicolas, 2014. "Pesticides and health: A review of evidence on health effects, valuation of risks, and benefit‐cost analysis," TSE Working Papers 14-477, Toulouse School of Economics (TSE).
    26. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    27. Jones, Michael S. & House, Lisa A. & Gao, Zhifeng, 2015. "Attribute Non-Attendance and Satisficing Behavior in Online Choice Experiments," 2015 International European Forum (144th EAAE Seminar), February 9-13, 2015, Innsbruck-Igls, Austria 206252, International European Forum on System Dynamics and Innovation in Food Networks.
    28. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.
    29. Torres, Catalina M. & Colombo, Sergio & Hanley, Nick, 2014. "Incorrectly accounting for preference heterogeneity in choice experiments: Implications for welfare measurement," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 14(02), pages 1-25, December.
    30. Ana I. Sanjuán‐López & Helena Resano‐Ezcaray, 2020. "Labels for a Local Food Speciality Product: The Case of Saffron," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 778-797, September.
    31. Lee, Hye-Jeong & Yoo, Seung-Hoon & Lim, Sesil & Huh, Sung-Yoon, 2023. "External benefits of a road transportation system with vehicle-to-everything communications," Transport Policy, Elsevier, vol. 134(C), pages 128-138.
    32. Bazzani, Claudia & Nayga, Rodolfo M. Jr. & Caputo, Vincenzina, "undated". "Does circadian rhythm affect consumer evaluation for food products? An experimental study," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261215, Agricultural and Applied Economics Association.
    33. Hye-Jeong Lee & Beom Jin Chung & Sung-Yoon Huh, 2023. "Consumer Preferences for Smart Energy Services Based on AMI Data in the Power Sector," Energies, MDPI, vol. 16(9), pages 1-20, May.
    34. Yuan, Rao & Asioli, Daniele & Jin, Shaosheng & Nayga, Rodolfo M., 2021. "Consumers’ Valuation for Cultured Chicken Meat: A Multi-city Choice Experiment in China," 2021 Annual Meeting, August 1-3, Austin, Texas 313957, Agricultural and Applied Economics Association.
    35. De Salvo, Maria & Scarpa, Riccardo & Capitello, Roberta & Begalli, Diego, 2020. "Multi-country stated preferences choice analysis for fresh tomatoes," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(3), December.
    36. Naald, Brian Vander & Cameron, Trudy Ann, 2011. "Willingness to pay for other species' well-being," Ecological Economics, Elsevier, vol. 70(7), pages 1325-1335, May.
    37. Inkoom, Emmanuel Wisgtos & Dadzie, Samuel Kwesi Ndzebah & Ndebugri, Joseph, 2020. "Promoting Improved Agricultural Technologies to Increase Smallholder Farm Production Efficiency: Ghanaian Study of Cassava Farmers," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 8(3), July.
    38. Elin Spegel & Kristina Ek, 2022. "Valuing the Impacts of Landslides: A Choice Experiment Approach," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 163-181, March.
    39. D. Fang & R. M. Nayga & H. A. Snell & G. H. West & C. Bazzani, 2019. "Evaluating USA’s New Nutrition and Supplement Facts Label: Evidence from a Non-hypothetical Choice Experiment," Journal of Consumer Policy, Springer, vol. 42(4), pages 545-562, December.
    40. Claudia Bazzani & Vincenzina Caputo & Rodolfo M. Nayga JR. & Maurizio Canavari, 2017. "Testing Commitment Cost Theory In Choice Experiments," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 383-396, January.
    41. Chandra R. Bhat & Patrícia S. Lavieri, 2018. "A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions," Theory and Decision, Springer, vol. 84(2), pages 239-275, March.
    42. Asioli, Daniele & Bazzani, Claudia & Nayga, Rodolfo M., 2018. "Consumers’ Valuation for Lab Produced Meat: An Investigation of Naming Effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274066, Agricultural and Applied Economics Association.
    43. Balcombe, Kelvin & Burton, Michael & Rigby, Dan, 2011. "Skew and attribute non-attendance within the Bayesian mixed logit model," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 446-461.
    44. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    45. Breeze, T.D. & Bailey, A.P. & Potts, S.G. & Balcombe, K.G., 2015. "A stated preference valuation of the non-market benefits of pollination services in the UK," Ecological Economics, Elsevier, vol. 111(C), pages 76-85.
    46. Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Stability of Willingness-to-Pay for Coastal Management: A Choice Experiment Across Three Time Periods," Ecological Economics, Elsevier, vol. 138(C), pages 64-73.
    47. Campbell, Danny & Mørkbak, Morten Raun & Olsen, Søren Bøye, 2018. "The link between response time and preference, variance and processing heterogeneity in stated choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 18-34.
    48. Campbell, Danny & Doherty, Edel & Gibson, Vikki, 2011. "Choosing ‘buy none’ in food choice analysis: the role of utility balance," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108951, Agricultural Economics Society.
    49. Peter Lenk, 2014. "Bayesian estimation of random utility models," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 20, pages 457-497, Edward Elgar Publishing.
    50. Galassi, Veronica & Madlener, Reinhard, 2014. "Identifying Business Models for Photovoltaic Systems with Storage in the Italian Market: A Discrete Choice Experiment," FCN Working Papers 19/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    51. Balogh, Péter & Békési, Dániel & Gorton, Matthew & Popp, József & Lengyel, Péter, 2016. "Consumer willingness to pay for traditional food products," Food Policy, Elsevier, vol. 61(C), pages 176-184.
    52. Becker, Felix & Danaf, Mazen & Song, Xiang & Atasoy, Bilge & Ben-Akiva, Moshe, 2018. "Bayesian estimator for Logit Mixtures with inter- and intra-consumer heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 1-17.
    53. Wen Lin & David L. Ortega & Danielle Ufer & Vincenzina Caputo & Titus Awokuse, 2022. "Blockchain‐based traceability and demand for U.S. beef in China," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 253-272, March.
    54. Mohammed H. Alemu & Søren B. Olsen, 2017. "Can a Repeated Opt-Out Reminder remove hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products," IFRO Working Paper 2017/05, University of Copenhagen, Department of Food and Resource Economics.
    55. Gelo, Dambala & Turpie, Jane, 2021. "Bayesian analysis of demand for urban green space: A contingent valuation of developing a new urban park," Land Use Policy, Elsevier, vol. 109(C).
    56. Di Fang & Rodolfo M. Nayga & Grant H. West & Claudia Bazzani & Wei Yang & Benjamin C. Lok & Charles E. Levy & Heather A. Snell, 2021. "On the Use of Virtual Reality in Mitigating Hypothetical Bias in Choice Experiments," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 142-161, January.

  33. Dan Rigby & Kelvin Balcombe & Michael Burton, 2009. "Mixed Logit Model Performance and Distributional Assumptions: Preferences and GM foods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 279-295, March.

    Cited by:

    1. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    2. Takama, Takeshi & Tsephel, Stanzin & Johnson, Francis X., 2012. "Evaluating the relative strength of product-specific factors in fuel switching and stove choice decisions in Ethiopia. A discrete choice model of household preferences for clean cooking alternatives," Energy Economics, Elsevier, vol. 34(6), pages 1763-1773.
    3. Rouwendal, Jan & de Blaeij, Arianne & Rietveld, Piet & Verhoef, Erik, 2010. "The information content of a stated choice experiment: A new method and its application to the value of a statistical life," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 136-151, January.
    4. Doherty, Edel & Campbell, Danny & Hynes, Stephen & van Rensburg, Tom M., 2011. "The effect of using labelled alternatives in stated choice experiments: an exploration focusing on farmland walking trails in Ireland," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108792, Agricultural Economics Society.
    5. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    6. Gillespie Rob & Kragt Marit E., 2012. "Accounting for Nonmarket Impacts in a Benefit-Cost Analysis of Underground Coal Mining in New South Wales, Australia," Journal of Benefit-Cost Analysis, De Gruyter, vol. 3(2), pages 1-29, May.
    7. Janssen, Meike & Hamm, Ulrich, 2011. "Certification Logos in the Market for Organic Food: What are Consumers Willing to Pay for Different Logos?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114454, European Association of Agricultural Economists.
    8. Yuan, Yuan & You, Wen & Boyle, Kevin J., 2015. "A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205733, Agricultural and Applied Economics Association.
    9. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    10. Catalina M. Torres & Sergio Colombo & Nick Hanley, 2014. "Incorrectly accounting for preference heterogeneity in choice experiments: what are the implications for welfare measurement?," DEA Working Papers 65, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    11. Agnoli, Lara & Boeri, Marco & Scarpa, Riccardo & Capitello, Roberta & Begalli, Diego, 2018. "Behavioural patterns in Mediterranean-style drinking: Generation Y preferences in alcoholic beverage consumption," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 117-125.
    12. Janssen, Meike & Hamm, Ulrich, 2014. "Governmental and private certification labels for organic food: Consumer attitudes and preferences in Germany," Food Policy, Elsevier, vol. 49(P2), pages 437-448.
    13. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    14. Balcombe, Kelvin & Burton, Michael & Rigby, Dan, 2011. "Skew and attribute non-attendance within the Bayesian mixed logit model," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 446-461.
    15. Valerie Kilders & Vincenzina Caputo, 2021. "Is Animal Welfare Promoting Hornless Cattle? Assessing Consumer’s Valuation for Milk from Gene‐edited Cows under Different Information Regimes," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 735-759, September.
    16. Fosgerau, Mogens & Hess, Stephane, 2009. "A comparison of methods for representing random taste heterogeneity in discrete choice models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 1-25.

  34. Balcombe, Kelvin & Fraser, Iain & Harris, Liam, 2009. "Consumer willingness to pay for in-flight service and comfort levels: A choice experiment," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 221-226.

    Cited by:

    1. Wen, Chieh-Hua & Huang, Chia-Jung & Fu, Chiang, 2020. "Incorporating continuous representation of preferences for flight departure times into stated itinerary choice modeling," Transport Policy, Elsevier, vol. 98(C), pages 10-20.
    2. Diaconu (Maxim) Laura, 2012. "The Evolution of the Low-Cost Airlines Between 2000 and 2011. Comparative Analysis Across American and European Low-Cost Operators," Annals - Economic and Administrative Series -, Faculty of Business and Administration, University of Bucharest, vol. 6(1), pages 115-128, December.
    3. Shao, Shuai & Kauermann, Göran & Smith, Michael Stanley, 2020. "Whether, when and which: Modelling advanced seat reservations by airline passengers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 490-514.
    4. Klein, Maximilian Michael & Linden, Erik & Wittmer, Andreas, 2019. "Influence of Marketing Instruments on Consumer Behavior in the Process of Purchasing Leisure Flight Tickets," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 36(3), pages 30-38.
    5. Leon, Steven & Uddin, Nizam, 2017. "Airline Ancillary Services: An Investigation into Passenger Purchase Behavior," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 56(1), April.
    6. Irawan, Muhammad Zudhy & Simanjuntak, Nurvita I.M. & Bastarianto, Faza Fawzan & Dwitasari, Reslyana & Herawati,, 2020. "Predicting the impact of Trans Java Toll Roads on demand for intercity air travel in Indonesia," Journal of Air Transport Management, Elsevier, vol. 87(C).
    7. Tay T. R. Koo & Carlo Caponecchia & Ann Williamson, 2018. "How important is safety in making flight choices? Evidence from simple choice experiments," Transportation, Springer, vol. 45(1), pages 159-175, January.
    8. Koo, Tay T.R. & Hossein Rashidi, Taha & Park, Jin-Woo & Wu, Cheng-Lung & Tseng, Wen-Chun, 2017. "The effect of enhanced international air access on the demand for peripheral tourism destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 116-129.
    9. Chen, Hsi-Tien & Chao, Ching-Cheng, 2015. "Airline choice by passengers from Taiwan and China: A case study of outgoing passengers from Kaohsiung International Airport," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 53-63.
    10. David Throsby & Anita Zednik & Jorge E. Araña, 2021. "Public preferences for heritage conservation strategies: a choice modelling approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 333-358, September.
    11. Adam Bockelie & Peter Belobaba, 2017. "Incorporating ancillary services in airline passenger choice models," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(6), pages 553-568, December.
    12. Kurtulmuşoğlu, Feride Bahar & Can, Gülin Feryal & Tolon, Metehan, 2016. "A voice in the skies: Listening to airline passenger preferences," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 130-137.
    13. Hunt, Jennifer & Truong, Dothang, 2019. "Low-fare flights across the Atlantic: Impact of low-cost, long-haul trans-Atlantic flights on passenger choice of Carrier," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 170-184.
    14. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2014. "Attributes driving the selection of trucking services and the quantification of the shipper’s willingness to pay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 142-158.
    15. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    16. Maertens, Sven, 2011. "The market potential of all-premium class services on medium haul leisure routes from Germany," Journal of Air Transport Management, Elsevier, vol. 17(3), pages 181-186.
    17. Antónia Correia & Adriano Pimpão & Manuel Tão, 2012. "Willingness to Pay for Frills When Travelling with Low-Cost Airlines," Tourism Economics, , vol. 18(6), pages 1161-1174, December.
    18. Bellizzi, Maria Grazia & dell’Olio, Luigi & Eboli, Laura & Mazzulla, Gabriella, 2021. "Detecting passengers' heterogeneity on airlines’ services using SP data," Journal of Air Transport Management, Elsevier, vol. 96(C).
    19. Maria Grazia Bellizzi & Luigi dell’Olio & Laura Eboli & Carmen Forciniti & Gabriella Mazzulla, 2020. "Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    20. Munoz, Claudia & Laniado, Henry, 2021. "Airline choice model for international round-trip flights: The role of travelers’ satisfaction and personality traits," Research in Transportation Economics, Elsevier, vol. 90(C).
    21. Ren, Xinhui & Pan, Na & Jiang, Hong, 2022. "Differentiated pricing for airline ancillary services considering passenger choice behavior heterogeneity and willingness to pay," Transport Policy, Elsevier, vol. 126(C), pages 292-305.
    22. Min-Yen Chang & Yi-Sheng Hsu & Han-Shen Chen, 2021. "Choice Experiment Method for Sustainable Tourism in Theme Parks," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    23. Jeon, Mi-Sun & Lee, Jang-Ho, 2020. "Estimation of willingness-to-pay for premium economy class by type of service," Journal of Air Transport Management, Elsevier, vol. 84(C).
    24. Chiambaretto, Paul, 2021. "Air passengers’ willingness to pay for ancillary services on long-haul flights," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    25. Kim, Yu Kyoung & Lee, Hyung Ryong, 2011. "Customer satisfaction using low cost carriers," Tourism Management, Elsevier, vol. 32(2), pages 235-243.
    26. Yimga, Jules, 2022. "Code-sharing agreements and path quality in the US airline industry," Transport Policy, Elsevier, vol. 116(C), pages 369-385.
    27. Henderson, Isaac Levi & Tsui, Kan Wai Hong & Ngo, Thanh & Gilbey, Andrew & Avis, Mark, 2019. "Airline brand choice in a duopolistic market: The case of New Zealand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 147-163.
    28. Tsai, Tsung-Hsien, 2016. "Homogeneous service with heterogeneous products: Relationships among airline ticket fares and purchase fences," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 164-175.
    29. Brush, Gregory J., 2019. "Similarities and differences in Asian and Western travelers’ service performance measurement, evaluation and outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 351-361.
    30. Ben Vinod & Richard Ratliff & Vikram Jayaram, 2018. "An approach to offer management: maximizing sales with fare products and ancillaries," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(2), pages 91-101, April.
    31. Gao, Yi & Koo, Tay T.R., 2014. "Flying Australia–Europe via China: A qualitative analysis of the factors affecting travelers' choice of Chinese carriers using online comments data," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 23-29.
    32. Hugon-Duprat, Cindy & O'Connell, John F., 2015. "The rationale for implementing a premium economy class in the long haul markets – Evidence from the transatlantic market," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 11-19.
    33. Merkert, Rico & Beck, Matthew, 2017. "Value of travel time savings and willingness to pay for regional aviation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 29-42.
    34. Bushell, James & Merkert, Rico & Beck, Matthew J., 2022. "Consumer preferences for operator collaboration in intra- and intercity transport ecosystems: Institutionalising platforms to facilitate MaaS 2.0," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 160-178.
    35. Kuo, Chung-Wei & Jou, Rong-Chang, 2017. "Willingness to pay for airlines’ premium economy class: The perspective of passengers," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 134-142.
    36. Merkert, Rico & Beck, Matthew J., 2020. "Can a strategy of integrated air-bus services create a value proposition for regional aviation management?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 527-539.
    37. SeYoung Park & Won Seok Lee & Joonho Moon & Jun Heo, 2019. "Examination of Chinese Cruise Tourists’ Attributes Using a Choice Experiment," Sustainability, MDPI, vol. 11(13), pages 1-16, July.
    38. Yi-Wen Kuo & Cheng-Hsien Hsieh & Cheng-Min Feng & Wen-Ya Yeh, 2013. "Effects of price promotions on potential consumers of high-speed rail," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(8), pages 722-738, December.

  35. Kelvin Balcombe & Iain Fraser, 2009. "Dichotomous-choice contingent valuation with 'dont know' responses and misreporting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1137-1152.

    Cited by:

    1. Shrestha, Anusha & Grala, Robert K. & Grado, Stephen C. & Roberts, Scott D. & Gordon, Jason S. & Adhikari, Ram K., 2021. "Nonindustrial private forest landowner willingness to pay for prescribed burning to lower wildfire hazards," Forest Policy and Economics, Elsevier, vol. 127(C).
    2. Kelvin Balcombe & Aurelia Samuel & Iain Fraser, 2009. "Estimating WTP With Uncertainty Choice Contingent Valuation," Studies in Economics 0921, School of Economics, University of Kent.
    3. Uehleke, Reinhard, 2016. "The role of question format for the support for national climate change mitigation policies in Germany and the determinants of WTP," Energy Economics, Elsevier, vol. 55(C), pages 148-156.
    4. Lars Hultkrantz & Selen Savsin, 2018. "Is ‘referencing’ a remedy to hypothetical bias in value of time elicitation? Evidence from economic experiments," Transportation, Springer, vol. 45(6), pages 1827-1847, November.

  36. Kelvin Balcombe & Iain Fraser & Laure Latruffe & Mizanur Rahman & Laurence Smith, 2008. "An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming," Applied Economics, Taylor & Francis Journals, vol. 40(15), pages 1919-1925.
    See citations under working paper version above.
  37. K. Balcombe & A. Bailey & A. Chalak & I. Fraser, 2008. "Modifying willingness to pay estimates where respondents mis-report their preferences," Applied Economics Letters, Taylor & Francis Journals, vol. 15(5), pages 327-330.

    Cited by:

    1. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    2. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    3. David Throsby & Anita Zednik & Jorge E. Araña, 2021. "Public preferences for heritage conservation strategies: a choice modelling approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 333-358, September.

  38. Ali Chalak & Kelvin Balcombe & Alastair Bailey & Iain Fraser, 2008. "Pesticides, Preference Heterogeneity and Environmental Taxes," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 537-554, September.

    Cited by:

    1. Sharma, Abhijit & Bailey, Alastair & Fraser, Iain, 2009. "Technology Adoption And Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models," MPRA Paper 15805, University Library of Munich, Germany.
    2. Cokou Patrice Kpadé & Edouard Roméo Mensah & Michel Fok & Jupiter Ndjeunga, 2017. "Cotton farmers’ willingness to pay for pest management services in northern Benin," Agricultural Economics, International Association of Agricultural Economists, vol. 48(1), pages 105-114, January.
    3. Koistinen, Laura & Pouta, Eija & Heikkila, Jaakko & Forsman-Hugg, Sari & Kotro, Jaana & Makela, Jarmo & Niva, M., 2011. "Impact of meat type, methods of production, fat content, price and carbon footprint information on meat choice," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114710, European Association of Agricultural Economists.
    4. Danne, Michael & Mußhoff, Oliver & Schulte, Michael, 2018. "Analysing the importance of glyphosate as part of agricultural srategies: A discrete choice experiment," DARE Discussion Papers 1802, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    5. Zhou, Jiehong & Yang, Zhiying & Li, Kai & Yu, Xiaohua, 2019. "Direct intervention or indirect support? The effects of cooperative control measures on farmers’ implementation of quality and safety standards," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    6. Andersson, Henrik & Tago, Damian & Treich, Nicolas, 2014. "Pesticides and health: A review of evidence on health effects, valuation of risks, and benefit‐cost analysis," TSE Working Papers 14-477, Toulouse School of Economics (TSE).
    7. Kelvin Balcombe & Dylan Bradley & Iain Fraser, 2020. "The Economic Analysis of Consumer Attitudes Towards Food Produced Using Prohibited Production Methods: Do Consumers Really Care?," Studies in Economics 2004, School of Economics, University of Kent.
    8. Pauline Laille & Marianne Lefebvre & Masha Maslianskaia-Pautrel, 2020. "Individual preferences regarding pesticide-free management of green-spaces: a discret choice experiment with French citizens," Working Papers hal-02867639, HAL.
    9. Amalie Bjørnåvold & Maia David & Vincent Mermet-Bijon & Olivier Beaumais & Romain Crastes Dit Sourd & Steven van Passel & Vincent Martinet, 2023. "To tax or to ban? A discrete choice experiment to elicit public preferences for phasing out glyphosate use in agriculture [Taxer ou interdire ? Une expérience de choix discret pour obtenir les préf," Post-Print hal-04057671, HAL.
    10. Glenk, Klaus & Hall, Clare & Liebe, Ulf & Meyerhoff, Jürgen, 2012. "Preferences of Scotch malt whisky consumers for changes in pesticide use and origin of barley," Food Policy, Elsevier, vol. 37(6), pages 719-731.
    11. Raja Chakir & Maia David & Estelle Gozlan & Aminata Sangare, 2016. "Valuing the Impacts of An Invasive Biological Control Agent: A Choice Experiment on the Asian Ladybird in France," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 619-638, September.
    12. Kloos, Julia & Tsegai, Daniel W., 2009. "Preferences for domestic water services in the Middle Olifants sub-basin of South Africa," Discussion Papers 49970, University of Bonn, Center for Development Research (ZEF).
    13. Marianne Lefebvre & Pauline Laille & Masha Maslianskaia-Pautrel, 2020. "Individual preferences regarding pesticide-free management of green-spaces: a discret choice experiment with French citizens," Working Papers 2020.02, FAERE - French Association of Environmental and Resource Economists.

  39. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2008. "Productivity change in Polish agriculture: an illustration of a bootstrapping procedure applied to Malmquist indices," Post-Communist Economies, Taylor & Francis Journals, vol. 20(4), pages 449-460.
    See citations under working paper version above.
  40. Kelvin Balcombe & Sophia Davidova & Laure Latruffe, 2008. "The use of bootstrapped Malmquist indices to reassess productivity change findings: an application to a sample of Polish farms," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2055-2061.
    See citations under working paper version above.
  41. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2008. "Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe," Journal of Productivity Analysis, Springer, vol. 29(2), pages 183-191, April.

    Cited by:

    1. Dakpo, K & Jeanneaux, Philippe & Latruffee, Laure, 2015. "Empirical comparison of pollution generating technologies in nonparametric modelling: The case of greenhouse gas emissions in French sheep meat farming," 2015 Conference, August 9-14, 2015, Milan, Italy 211557, International Association of Agricultural Economists.
    2. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    3. Cechura, Lukas & Hockmann, Heinrich & Mala, Zdenka & Maly, Michal, 2014. "Productivity and efficiency differences between Czech and Slovak milk producers," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 17(2), pages 17-21.
    4. Kostlivý, V. & Fuksová, Z. & Dubec, J., 2017. "Farms Productivity Developments Based on Malmquist Production Indices," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(2), June.
    5. Laure Latruffe & Yann Desjeux, 2016. "Common Agricultural Policy support, technical efficiency and productivity change in French agriculture," Review of Agricultural, Food and Environmental Studies, Springer, vol. 97(1), pages 15-28, June.
    6. Thibbotuwawa, Manoj & Mugera, Amin & White, Ben, 2013. "Production Efficiency and Technology Gap in Irrigated and Rain-fed Rice Farming Systems in Sri Lanka: Non Parametric Approach," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152181, Australian Agricultural and Resource Economics Society.
    7. Alessandro Manello & Maurizio Cisi & Francesco Devicienti & Davide Vannoni, 2020. "Networking: a business for women," Small Business Economics, Springer, vol. 55(2), pages 329-348, August.
    8. Bieniek-Majka, Maryla & Guth, Marta, 2021. "Factor Productivity And Profitability Of Horticultural Holdings In Selected Countries Specializing In Fruit And Vegetable Production In The European Union In The Period 2008-2018," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2021(2).
    9. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    10. Sipilainen, Timo & Huhtala, Anni, 2012. "Opportunity Costs of Providing Crop Diversity in Organic and Conventional Farming," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126652, International Association of Agricultural Economists.
    11. Glass, J. Colin & McKillop, Donal G. & Rasaratnam, Syamarlah, 2010. "Irish credit unions: Investigating performance determinants and the opportunity cost of regulatory compliance," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 67-76, January.
    12. Buckley, Cathal & Wall, David P. & Moran, Brian & O'Neill, Stephen & Murphy, Paul N.C., 2015. "Post EU Nitrates Directive implementation: an examination of the sustainable use of phosphorus in milk production," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204207, Agricultural Economics Society.
    13. Mariarosaria Agostino & Sabrina Ruberto & Francesco Trivieri, 2018. "Lasting lending relationships and technical efficiency. Evidence on European SMEs," Journal of Productivity Analysis, Springer, vol. 50(1), pages 25-40, October.
    14. Martinsson, Elin & Storm, Hugo, 2022. "Evaluating environmental effects of the adoption of automatic milking systems in Norway," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321199, Agricultural Economics Society - AES.
    15. Devicienti, Francesco & Manello, Alessandro & Vannoni, Davide, 2016. "Technical Efficiency, Unions and Decentralized Labor Contracts," IZA Discussion Papers 10292, Institute of Labor Economics (IZA).
    16. Lars-Erik Borge & Marianne Haraldsvik, 2009. "Efficiency potential and determinants of efficiency: an analysis of the care for the elderly sector in Norway," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 16(4), pages 468-486, August.
    17. Ioannis Skevas & Grigorios Emvalomatis & Bernhard Brümmer, 2018. "The effect of farm characteristics on the persistence of technical inefficiency: a case study in German dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 3-25.
    18. Kourtesi, Sofia & De Witte, Kristof & Polymeros, Apostolos, 2016. "Technical Efficiency in the Agricultural Sector - Evidence from a Conditional Quantile-Based Approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
    19. Skevas, Ioannis, 2020. "Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms," European Journal of Operational Research, Elsevier, vol. 283(1), pages 356-364.
    20. Esmeralda Ramalho & Joaquim Ramalho & Pedro Henriques, 2010. "Fractional regression models for second stage DEA efficiency analyses," Journal of Productivity Analysis, Springer, vol. 34(3), pages 239-255, December.
    21. K Hervé Dakpo & Philippe Jeanneaux & Laure Latruffe, 2014. "Inclusion of undesirable outputs in production technology modeling:The case of greenhouse gas emissions in French meat sheep farming," Working Papers SMART 14-08, INRAE UMR SMART.
    22. Carlos Barros & Pedro Garcia-del-Barrio, 2011. "Productivity drivers and market dynamics in the Spanish first division football league," Journal of Productivity Analysis, Springer, vol. 35(1), pages 5-13, February.
    23. Adele Coppola & Alfonso Scardera & Mario Amato & Fabio Verneau, 2020. "Income Levels and Farm Economic Viability in Italian Farms: An Analysis of FADN Data," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    24. Ioanna Reziti & Leonidas Zangelidis, 2019. "Regional Productivity and Efficiency Growth in Greek Agriculture," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 69(4), pages 3-20, October-D.
    25. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    26. Buckley, Cathal & Wall, David P. & Moran, Brian & O'Neill, Stephen & Murphy, Paul N.C., 2016. "Phosphorus management on Irish dairy farms post controls introduced under the EU Nitrates Directive," Agricultural Systems, Elsevier, vol. 142(C), pages 1-8.
    27. Zhu, Liyun & Schneider, Kevin & Oude Lansink, Alfons, 2023. "Economic, environmental, and social inefficiency assessment of Dutch dairy farms based on the dynamic by-production model," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1134-1145.
    28. Sofia KOURTESI & Panos FOUSEKIS & Apostolos POLYMEROS, 2012. "Conditional Efficiency Estimation With Environmental Variables: Evidence From Greek Cereal Farms," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 11(1), pages 43-52.
    29. Bernardino Benito & José Solana & Pilar López, 2014. "Determinants of Spanish Regions' Tourism Performance: A Two-Stage, Double-Bootstrap Data Envelopment Analysis," Tourism Economics, , vol. 20(5), pages 987-1012, October.
    30. María Pérez Urdiales & Alfons Oude Lansink & Alan Wall, 2016. "Eco-efficiency Among Dairy Farmers: The Importance of Socio-economic Characteristics and Farmer Attitudes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 559-574, August.
    31. Bernardino Benito & José Solana & María-Rocío Moreno, 2014. "Explaining efficiency in municipal services providers," Journal of Productivity Analysis, Springer, vol. 42(3), pages 225-239, December.
    32. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.
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    34. Daniel Gaitán-Cremaschi & Frits K. Van Evert & Don M. Jansen & Miranda P. M. Meuwissen & Alfons G. J. M. Oude Lansink, 2018. "Assessing the Sustainability Performance of Coffee Farms in Vietnam: A Social Profit Inefficiency Approach," Sustainability, MDPI, vol. 10(11), pages 1-23, November.
    35. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    36. Galluzzo, Nicola, 2017. "Technical and economic efficiency in some Italian farms: an analysis in two Italian islands," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 2), July.
    37. Tamer Işgın & Remziye Özel & Abdulbaki Bilgiç & Wojciech J. Florkowski & Mehmet Reşit Sevinç, 2020. "DEA Performance Measurements in Cotton Production of Harran Plain, Turkey: A Single and Double Bootstrap Truncated Regression Approaches," Agriculture, MDPI, vol. 10(4), pages 1-17, April.
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    39. Kent Olson & Linh Vu, 2009. "Economic efficiency in farm households: trends, explanatory factors, and estimation methods," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 587-599, September.
    40. Fertö, Imre, 2014. "The Structural Transformation in Central and Eastern European Agriculture," CEI Working Paper Series 2014-9, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    41. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    42. Skevas, Ioannis & Emvalomatis, Grigorios & Brümmer, Bernhard, 2018. "Productivity growth measurement and decomposition under a dynamic inefficiency specification: The case of German dairy farms," European Journal of Operational Research, Elsevier, vol. 271(1), pages 250-261.
    43. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.

  42. Kelvin Balcombe & George Rapsomanikis, 2008. "Bayesian Estimation and Selection of Nonlinear Vector Error Correction Models: The Case of the Sugar-Ethanol-Oil Nexus in Brazil," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 658-668.

    Cited by:

    1. Shawkat Hammoudeh & Soodabeh Sarafrazi & Chia-Lin Chang & Michael McAleer, 2011. "The Dynamics of Energy-Grain Prices with Open Interest," Documentos de Trabajo del ICAE 2011-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Waseem Khan & Vishal Sharma & Saghir Ahmad Ansari, 2022. "Modeling the dynamics of oil and agricultural commodity price nexus in linear and nonlinear frameworks: A case of emerging economy," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1733-1784, August.
    3. Carpio, Lucio Guido Tapia, 2019. "The effects of oil price volatility on ethanol, gasoline, and sugar price forecasts," Energy, Elsevier, vol. 181(C), pages 1012-1022.
    4. Listorti, Giulia & Esposti, Roberto, 2012. "Horizontal Price Transmission in Agricultural Markets: Fundamental Concepts and Open Empirical Issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-28, April.
    5. Busse, Stefan & Brümmer, Bernhard & Ihle, Rico, 2010. "Investigating Rapeseed Price Volatilities In The Course Of The Food Crisis," 50th Annual Conference, Braunschweig, Germany, September 29-October 1, 2010 93957, German Association of Agricultural Economists (GEWISOLA).
    6. Yoon, Seong-Min, 2022. "On the interdependence between biofuel, fossil fuel and agricultural food prices: Evidence from quantile tests," Renewable Energy, Elsevier, vol. 199(C), pages 536-545.
    7. Areal, Francisco J. & Balcombe, Kelvin G. & Rapsomanikis, George, 2014. "Testing for bubbles in agricultural commodity markets," ESA Working Papers 288981, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    8. Natanelov, Valeri & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2013. "Crude oil–corn–ethanol – nexus: A contextual approach," Energy Policy, Elsevier, vol. 63(C), pages 504-513.
    9. Karel Janda & Ladislav Krištoufek, 2019. "The Relationship Between Fuel and Food Prices: Methods and Outcomes," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 195-216, October.
    10. Deborah Bentivoglio & Adele Finco & Mirian Rumenos Piedade Bacchi, 2016. "Interdependencies between Biofuel, Fuel and Food Prices: The Case of the Brazilian Ethanol Market," Energies, MDPI, vol. 9(6), pages 1-16, June.
    11. Bentivoglio, Deborah & Finco, Adele & Bacchi, Mirian, 2015. "Examining Price Transmission between Fuels and Food Prices: the Brazilian Sugar-Ethanol Market," 2015 Conference, August 9-14, 2015, Milan, Italy 211327, International Association of Agricultural Economists.
    12. Teresa Serra & José M. Gil, 2013. "Price volatility in food markets: can stock building mitigate price fluctuations?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(3), pages 507-528, July.
    13. Zhang, Zibin & Lohr, Luanne & Escalante, Cesar & Wetzstein, Michael, 2010. "Food versus fuel: What do prices tell us?," Energy Policy, Elsevier, vol. 38(1), pages 445-451, January.
    14. Arnade, Carlos Anthony & Kuchler, Fred & Calvin, Linda, 2011. "Food Safety and Spinach Demand: A Generalized Error Correction Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-15, August.
    15. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    16. Khaled Mokni & Manel Youssef, 2020. "Empirical analysis of the cross‐interdependence between crude oil and agricultural commodity markets," Review of Financial Economics, John Wiley & Sons, vol. 38(4), pages 635-654, October.
    17. Hochman, Gal & Rajagopal, Deepak & Timilsina, Govinda & Zilberman, David, 2011. "The role of inventory adjustments in quantifying factors causing food price inflation," Policy Research Working Paper Series 5744, The World Bank.
    18. Glen Livingston Jr & Darfiana Nur, 2020. "Bayesian estimation and model selection of a multivariate smooth transition autoregressive model," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.
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    22. Mugera, Harriet & Gilbert, Christopher, 2015. "Structural Change in the Relationship Between Energy and Food Prices," 2015 Conference, August 9-14, 2015, Milan, Italy 212505, International Association of Agricultural Economists.
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    31. Serra, Teresa & Zilberman, David & Gil, Jose Maria & Goodwin, Barry K., 2008. "Nonlinearities in the US corn-ethanol-oil price system," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6512, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    32. Wenbin Du & You Wu & Yunliang Zhang & Ya Gao, 2022. "The Impact Effect of Coal Price Fluctuations on China’s Agricultural Product Price," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
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    34. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
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    37. Saghaian, Sayed & Nemati, Mehdi & Walters, Cory & Chen, Bo, 2018. "Asymmetric Price Volatility Transmission between U.S. Biofuel, Corn, and Oil Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
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    40. Greb, Friederike & Krivobokova, Tatyana & von Cramon-Taubadel, Stephan & Munk, Axel, 2011. "On threshold estimation in threshold vector error correction models," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114599, European Association of Agricultural Economists.
    41. Du, Xiaodong, 2012. "Inside the Black Box: the Price Linkage and Transmission between Energy and Agricultural Markets," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125146, International Association of Agricultural Economists.
    42. Cao, Yan & Cheng, Sheng, 2021. "Impact of COVID-19 outbreak on multi-scale asymmetric spillovers between food and oil prices," Resources Policy, Elsevier, vol. 74(C).
    43. Raza, Syed Ali & Guesmi, Khaled & Belaid, Fateh & Shah, Nida, 2022. "Time-frequency causality and connectedness between oil price shocks and the world food prices," Research in International Business and Finance, Elsevier, vol. 62(C).
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    45. Rafael Baptista Palazzi & Ata Assaf & Marcelo Cabus Klotzle, 2024. "Dynamic connectedness between energy markets and the Brazilian cash market: An empirical analysis pre‐ and post‐COVID‐19," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(1), pages 27-56, January.
    46. Trujillo-Barrera, Andres & Mallory, Mindy L. & Garcia, Philip, 2012. "Volatility Spillovers in U.S. Crude Oil, Ethanol, and Corn Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-16, August.
    47. Roberto Pasqualino & Irene Monasterolo & Aled Jones, 2019. "An Integrated Global Food and Energy Security System Dynamics Model for Addressing Systemic Risk," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    48. Florian Huber & Thomas Zörner, 2017. "Threshold cointegration and adaptive shrinkage," Department of Economics Working Papers wuwp250, Vienna University of Economics and Business, Department of Economics.
    49. Mofya-Mukuka, Rhoda & Abdulai, Awudu, 2013. "Policy reforms and asymmetric price transmission in the Zambian and Tanzanian coffee markets," Economic Modelling, Elsevier, vol. 35(C), pages 786-795.
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    51. Sonal Devesh & Abdullah M. Asrul Affendi, 2021. "Modelling the Impact of Oil Price on Food Imports: Case of Oman," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 113-120.
    52. Oliveira, Sydnei Marssal de & Ribeiro, Celma de Oliveira & Cicogna, Maria Paula Vieira, 2018. "Uncertainty effects on production mix and on hedging decisions: The case of Brazilian ethanol and sugar," Energy Economics, Elsevier, vol. 70(C), pages 516-524.
    53. de Gorter, Harry & Drabik, Dusan & Kliauga, Erika M. & Timilsina, Govinda R., 2013. "An economic model of Brazil's ethanol-sugar markets and impacts of fuel policies," Policy Research Working Paper Series 6524, The World Bank.
    54. Rajcaniova, Miroslava & Drabik, Dusan & Ciaian, Pavel, 2013. "How policies affect international biofuel price linkages," Energy Policy, Elsevier, vol. 59(C), pages 857-865.
    55. Capitani, Daniel Henrique Dario, 2014. "Biofuels versus food: How much Brazilian ethanol production can affect domestic food prices," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170267, Agricultural and Applied Economics Association.
    56. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Price Relationships of Crude Oil and Food Commodities," Working Papers fa06-2013, Economics for Energy.
    57. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    58. Ramazan Sari & Shawkat Hammoudeh & Chia-Lin Chang & Michael McAleer, 2011. "Causality Between Market Liquidity and Depth for Energy and Grains," Documentos de Trabajo del ICAE 2011-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    59. Nolte, Stephan & Grethe, Harald, 2011. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 60(Supplemen), pages 1-15, February.
    60. Luciene Gomes & Silvio J. C. Simões & Eloi Lennon Dalla Nora & Eráclito Rodrigues de Sousa-Neto & Maria Cristina Forti & Jean Pierre H. B. Ometto, 2019. "Agricultural Expansion in the Brazilian Cerrado: Increased Soil and Nutrient Losses and Decreased Agricultural Productivity," Land, MDPI, vol. 8(1), pages 1-26, January.
    61. Peri, Massimo & Baldi, Lucia, 2013. "The effect of biofuel policies on feedstock market: Empirical evidence for rapeseed oil prices in EU," Resource and Energy Economics, Elsevier, vol. 35(1), pages 18-37.
    62. Elmarzougui, Eskandar & Larue, Bruno, 2011. "On the Evolving Relationship between Corn and Oil Prices," Working Papers 118580, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    63. Mofya-Mukuka, Rhoda & Abdulai, Awudu, 2013. "Effects of Policy Reforms on Price Transmission in Coffee Markets: Evidence from Zambia and Tanzania," Food Security Collaborative Working Papers 171870, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    64. López Cabrera, Brenda & Schulz, Franziska, 2016. "Volatility linkages between energy and agricultural commodity prices," Energy Economics, Elsevier, vol. 54(C), pages 190-203.
    65. Saghaian, Sayed H. & Nemati, Mehdi & Walters, Cory G. & Chen, Bo, 2017. "Asymmetric Price Volatility Interaction between U.S. Food and Energy Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258240, Agricultural and Applied Economics Association.
    66. Capitani, Daniel Henrique Dario & Tonin, Julyerme M. & Cruz, Jose Cesar, 2017. "Integration and hedging efficiency between the Brazilian and the U.S. ethanol markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258520, Agricultural and Applied Economics Association.
    67. Sun, Yunpeng & Gao, Pengpeng & Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2023. "The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach," Energy, Elsevier, vol. 270(C).
    68. Mourad Zmami & Ousama Ben-Salha, 2019. "Does Oil Price Drive World Food Prices? Evidence from Linear and Nonlinear ARDL Modeling," Economies, MDPI, vol. 7(1), pages 1-18, February.
    69. Ray Huffaker & Garry Griffith & Charles Dambui & Maurizio Canavari, 2021. "Empirical Detection and Quantification of Price Transmission in Endogenously Unstable Markets: The Case of the Global–Domestic Coffee Supply Chain in Papua New Guinea," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
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    79. Stephan Brosig & Thomas Glauben & Linde Götz & Enno‐Burghard Weitzel & Ahmet Bayaner, 2011. "The Turkish wheat market: spatial price transmission and the impact of transaction costs," Agribusiness, John Wiley & Sons, Ltd., vol. 27(2), pages 147-161, Spring.
    80. Hassouneh, Islam & Serra, Teresa & Goodwin, Barry K. & Gil, José M., 2012. "Non-parametric and parametric modeling of biodiesel, sunflower oil, and crude oil price relationships," Energy Economics, Elsevier, vol. 34(5), pages 1507-1513.
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    Cited by:

    1. Minten, Bart & Murshid, K.A.S. & Reardon, Thomas, 2011. "The quiet revolution in agrifood value chains in Asia: The case of increasing quality in rice markets in Bangladesh," IFPRI discussion papers 1141, International Food Policy Research Institute (IFPRI).
    2. Thibbotuwawa, Manoj & Mugera, Amin & White, Ben, 2013. "Production Efficiency and Technology Gap in Irrigated and Rain-fed Rice Farming Systems in Sri Lanka: Non Parametric Approach," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152181, Australian Agricultural and Resource Economics Society.
    3. D’Antoni, Jeremy M. & Mishra, Ashok K. & Blayney, Donald, 2013. "Assessing participation in the Milk Income Loss Contract program and its impact on milk production," Journal of Policy Modeling, Elsevier, vol. 35(2), pages 243-254.
    4. Thibbotuwawa, Manoj & Mugera, Amin W. & White, Benedict, 2012. "A Non-Parametric Analysis of Rice Production Efficiency in Sri Lanka," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124423, Australian Agricultural and Resource Economics Society.
    5. Alvarez, Antonio & del Corral, Julio & Tauer, Loren W., 2012. "Modeling Unobserved Heterogeneity in New York Dairy Farms: One-Stage versus Two-Stage Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(3), pages 275-285, December.
    6. Blend Frangu & Jennie Sheerin Popp & Michael Thomsen & Arben Musliu, 2018. "Evaluating Greenhouse Tomato and Pepper Input Efficiency Use in Kosovo," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    7. Barmon, Basanta Kumar & Tarafder, Sushanta Kumar, 2014. "Impacts of Granular Urea and Efficiency of Resource Use in MV Paddy Production: A Case Study of Jessore District," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 37(3), pages 79-108, September.
    8. Musa Hasen Ahmed & Kumilachew Alamerie Melesse, 2018. "Impact of off-farm activities on technical efficiency: evidence from maize producers of eastern Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-15, December.
    9. Anik, Asif Reza & Breustedt, Gunnar & Bauer, Siegfried, 2011. "The Impact of Corruption on Farmers' Efficiency in Rice Production: A Natural Experiment from Bangladesh," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114224, European Association of Agricultural Economists.
    10. del Corral, Julio & Alvarez, Antonio & Tauer, Loren W., 2009. "Detecting Technological Heterogeneity in New York Dairy Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49293, Agricultural and Applied Economics Association.
    11. Minten, Bart & Murshid, K.A.S. & Reardon, Thomas, 2013. "Food Quality Changes and Implications: Evidence from the Rice Value Chain of Bangladesh," World Development, Elsevier, vol. 42(C), pages 100-113.
    12. Banerjee, Onil & M Mahzab , Moogdho & Asaduzzaman, M, 2015. "Towards 2021: Examining Alternative Growth Scenarios for Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 38(01), pages 77-100, March.

  44. K. Balcombe & A. Bailey & A. Chalak & I. Fraser, 2007. "Bayesian Estimation of Willingness‐to‐pay Where Respondents Mis‐report Their Preferences," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(3), pages 413-438, June.

    Cited by:

    1. Ali Chalak & Kelvin Balcombe & Alastair Bailey & Iain Fraser, 2008. "Pesticides, Preference Heterogeneity and Environmental Taxes," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 537-554, September.
    2. Andersson, Henrik & Tago, Damian & Treich, Nicolas, 2014. "Pesticides and health: A review of evidence on health effects, valuation of risks, and benefit‐cost analysis," TSE Working Papers 14-477, Toulouse School of Economics (TSE).
    3. Balcombe, Kelvin & Chalak, Ali & Fraser, Iain, 2009. "Model selection for the mixed logit with Bayesian estimation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 226-237, March.
    4. Kelvin Balcombe & Iain Fraser, 2009. "Dichotomous‐choice contingent valuation with ‘dont know’ responses and misreporting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1137-1152, November.
    5. Rigby, Dan & Burton, Michael & Balcombe, Kelvin & Bateman, Ian & Mulatu, Abay, 2015. "Contract cheating & the market in essays," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 23-37.

  45. Balcombe, Kelvin George & Doucouliagos, Hristos & Fraser, Iain, 2007. "Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 1-20.

    Cited by:

    1. Sauer, Johannes, 2008. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36869, Agricultural Economics Society.
    2. Rebecca Summary & William Weber, 2012. "Grade inflation or productivity growth? An analysis of changing grade distributions at a regional university," Journal of Productivity Analysis, Springer, vol. 38(1), pages 95-107, August.
    3. Anderson, Kym & Lloyd, Peter & MacLaren, Donald, 2008. "Distortions to agricultural incentives in Australia since world war II," Policy Research Working Paper Series 4471, The World Bank.
    4. Jill Johnes, 2014. "Efficiency and Mergers in English Higher Education 1996/97 to 2008/9: Parametric and Non-parametric Estimation of the Multi-input Multi-output Distance Function," Manchester School, University of Manchester, vol. 82(4), pages 465-487, July.
    5. Johannes Sauer, 2010. "Deregulation and dairy production systems: a Bayesian distance function approach," Journal of Productivity Analysis, Springer, vol. 34(3), pages 213-237, December.
    6. van Kooten, Gerrit Cornelis, 2017. "The Welfare Economics of Dismantling Dairy Quota in a Confederation of States," Working Papers 256743, University of Victoria, Resource Economics and Policy.
    7. Sauer, J., 2009. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 44, March.

  46. Kelvin Balcombe & Alastair Bailey & Jonathan Brooks, 2007. "Threshold Effects in Price Transmission: The Case of Brazilian Wheat, Maize, and Soya Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 308-323.

    Cited by:

    1. Santeramo, Fabio Gaetano & Cioffi, Antonio, 2012. "Transmission Of Market Crises In The European Vegetables Sector," Politica Agricola Internazionale - International Agricultural Policy, Edizioni L'Informatore Agrario, vol. 2012(2), pages 1-10, March.
    2. Schipfer, Fabian & Kranzl, Lukas & Olsson, Olle & Lamers, Patrick, 2020. "The European wood pellets for heating market - Price developments, trade and market efficiency," Energy, Elsevier, vol. 212(C).
    3. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Co-integration of Oil and Commodity Prices: A Comprehensive ApproachAbstract," Working Papers fa05-2013, Economics for Energy.
    4. Listorti, Giulia & Esposti, Roberto, 2012. "Horizontal Price Transmission in Agricultural Markets: Fundamental Concepts and Open Empirical Issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-28, April.
    5. Valdes, R. & Von Cramon, S. & Engler, A., 2018. "The role of fuel prices on the wholesale price relationships between horticultural markets," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277064, International Association of Agricultural Economists.
    6. Joe Dewbre & Céline Giner & Wyatt Thompson & Martin Von Lampe, 2008. "High food commodity prices: will they stay? who will pay?," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 393-403, November.
    7. Lence, Sergio & Moschini, Giancarlo & Santeramo, Fabio Gaetano, 2017. "Threshold cointegration and spatial price transmission when expectations matter," MPRA Paper 80202, University Library of Munich, Germany.
    8. Hosseini, Seyed Safdar & Nikoukar, Afsaneh & Dourandish, Arash, 2012. "Price Transmission Analysis in Iran Chicken Market," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 2(4).
    9. Ganneval, S., 2016. "Spatial price transmission on agricultural commodity markets under different volatility regimes," Economic Modelling, Elsevier, vol. 52(PA), pages 173-185.
    10. Sergio Adriani David & Claudio M. C. Inácio & José A. Tenreiro Machado, 2019. "Ethanol Prices and Agricultural Commodities: An Investigation of Their Relationship," Mathematics, MDPI, vol. 7(9), pages 1-25, August.
    11. Larson, Donald F. & Sarris, Alexander, 2009. "The performance of Bulgarian food markets during reform," Policy Research Working Paper Series 4876, The World Bank.
    12. Bairagi, S. & Mohanty, S., 2018. "Analysis of Price Transmission along the Cambodian Rice Value Chain," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277022, International Association of Agricultural Economists.
    13. Vollmer, Teresa & von Cramon-Taubadel, Stephan, 2019. "The influence of Brazilian exports on price transmission processes in the coffee sector: A Markov-switching approach," DARE Discussion Papers 1904, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    14. Ivan Djuric & Linde Götz & Thomas Glauben, 2015. "Are Export Restrictions an Effective Instrument to Insulate Domestic Prices Against Skyrocketing World Market Prices? The Wheat Export Ban in Serbia," Agribusiness, John Wiley & Sons, Ltd., vol. 31(2), pages 215-228, April.
    15. Medeiros, Marcelo C & Magri, Rafael, 2013. "Nonlinear Error Correction Models With an Application to Commodity Prices," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 33(2), November.
    16. Götz, Linde & Glauben, Thomas & Brümmer, Bernhard, 2013. "Wheat export restrictions and domestic market effects in Russia and Ukraine during the food crisis," Food Policy, Elsevier, vol. 38(C), pages 214-226.
    17. Teresa Serra & David Zilberman & José Gil, 2011. "Price volatility in ethanol markets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 259-280, June.
    18. Ihle, Rico & von Cramon-Taubadel, Stephan, 2008. "Nonlinear Vector Error Correction Models in Price Transmission Analysis: Threshold Models vs. Markov-Switching Models," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44198, European Association of Agricultural Economists.
    19. Arnade, Carlos & Hoffman, Linwood, 2016. "Maize Price Relationships in a Changing International Market: Have Brazil and/or Ukraine Crossed a Threshold?," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 250116, Agricultural and Applied Economics Association.
    20. Greb, Friederike & Krivobokova, Tatyana & von Cramon-Taubadel, Stephan & Munk, Axel, 2011. "On threshold estimation in threshold vector error correction models," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114599, European Association of Agricultural Economists.
    21. Cruz, Jose Cesar Jr. & Silveira, Rodrigo L. F. & Capitani, Daniel H. D. & Urso, Fabiana S. P. & Martines, Joao G. Filho, 2016. "The effect of Brazilian corn and soybean crop expansion on price and volatility transmission," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236127, Agricultural and Applied Economics Association.
    22. Zhepeng Hu & B. Wade Brorsen, 2017. "Spatial Price Transmission and Efficiency in the Urea Market," Agribusiness, John Wiley & Sons, Ltd., vol. 33(1), pages 98-115, January.
    23. Rafael Baptista Palazzi & Ata Assaf & Marcelo Cabus Klotzle, 2024. "Dynamic connectedness between energy markets and the Brazilian cash market: An empirical analysis pre‐ and post‐COVID‐19," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(1), pages 27-56, January.
    24. Maurizio Aragrande & Mauro Bruni & Alberico Loi & Roberto Esposti, 2017. "The effect of EU 2006 sugar regime reform on vertical price transmission," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-20, December.
    25. Rachel Rose & Dimitrios Paparas, 2023. "Price Transmission: The Case of the UK Dairy Market," Commodities, MDPI, vol. 2(1), pages 1-21, March.
    26. Hillen, J., 2018. "Protecting the Swiss milk market from foreign price shocks: Public border protection vs. quality differentiation," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276015, International Association of Agricultural Economists.
    27. Abunyuwah, Isaac, 2013. "Implications of conceptual and data complexities on time-series econometric applications in market integration analysis," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 115(1), pages 1-7, February.
    28. Ihle, Rico & von Cramon-Taubadel, Stephan, 2008. "A Comparison of Threshold Cointegration and Markov-Switching Vector Error Correction Models in Price Transmission Analysis," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37603, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    29. Elmarzougui, Eskandar & Larue, Bruno, 2011. "On the Evolving Relationship between Corn and Oil Prices," Working Papers 118580, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    30. Abbott, Philip & Wu, Ce & Tarp, Finn, 2011. "Transmission of World Prices to the Domestic Market in Vietnam," MPRA Paper 84611, University Library of Munich, Germany.
    31. Ahmed, Mansur & Goodwin, Barry, 2015. "Copula-Based Modeling of Dependence Structure among International Food Grain Markets," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206059, Agricultural and Applied Economics Association.
    32. Abidoye, Babatunde O. & Marlene, Labuschagne, 2012. "The Transmission of World Maize Price to South African Maize Market: A Threshold Cointegration Approach," Working Papers 206515, University of Pretoria, Department of Agricultural Economics, Extension and Rural Development.
    33. Mai, Thang Chien & Shakur, Shamim & Cassells, Sue, 2016. "Price Asymmetry of Coffee Beans: Evidence from Vietnam," 2016 Conference, August 25-26, Nelson, New Zealand 260807, New Zealand Agricultural and Resource Economics Society.
    34. Jinggang Guo & Craig M.T. Johnston, 2020. "Do Protectionist Trade Policies Integrate Domestic Markets? Evidence from the Canada-U.S. Softwood Lumber Dispute," Staff Working Papers 20-10, Bank of Canada.
    35. Tsiboe, Francis & Dixon, Bruce L. & Wailes, Eric J., 2016. "Spatial dynamics and determinants of Liberian rice market integration," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 11(3).
    36. Felipe Avileis & Mindy Mallory, 2021. "The Impact of Brazil on Global Grain Dynamics: A Study on Cross-Market Volatility Spillovers," Papers 2104.12706, arXiv.org.
    37. Fousekis, Panos & Katrakilidis, Constantinos & Trachanas, Emmanouil, 2016. "Vertical price transmission in the US beef sector: Evidence from the nonlinear ARDL model," Economic Modelling, Elsevier, vol. 52(PB), pages 499-506.
    38. Giulia LISTORTI, 2008. "Price Transmission Mechanisms: a Policy Investigation of International Wheat Markets," Working Papers 318, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    39. Acosta, Alejandro, 2012. "Measuring spatial transmission of white maize prices between South Africa and Mozambique: An asymmetric error correction model approach," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 7(1), pages 1-13, October.
    40. Chris Motengwe & Angel Pardo, 2016. "Major International Information Flows Across the Safex Wheat Market," South African Journal of Economics, Economic Society of South Africa, vol. 84(4), pages 636-653, December.
    41. Valdes, Rodrigo & Von Cramon-Taubadel, Stephan & Engler, Alejandra, 2015. "Transaction costs and trade liberalization: An empirical perspective from the MERCOSUR agreement," Food Policy, Elsevier, vol. 55(C), pages 109-116.
    42. de Araujo, Fernando Henrique Antunes & Bejan, Lucian & Stosic, Borko & Stosic, Tatijana, 2020. "An analysis of Brazilian agricultural commodities using permutation – information theory quantifiers: The influence of food crisis," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    43. Ghoshray, Atanu, 2010. "Smooth transition effects in price transmission: The case of international wheat export prices," Economics Letters, Elsevier, vol. 106(3), pages 169-171, March.
    44. Wang, Kuan-Min & Lee, Yuan-Ming & Thi, Thanh-Binh Nguyen, 2011. "Time and place where gold acts as an inflation hedge: An application of long-run and short-run threshold model," Economic Modelling, Elsevier, vol. 28(3), pages 806-819, May.
    45. Nzuma, Jonathan Makau & Kirui, Patrick Kipruto, 2021. "Transmission of global wheat prices to domestic markets in Kenya: A cointegration approach," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 16(1), March.
    46. Pancera, Aline & Alves, Alexandre, 2015. "Spatial Analysis of Market Power of Cassava Starch in Brazil," 2015 Conference, August 9-14, 2015, Milan, Italy 210948, International Association of Agricultural Economists.
    47. Hailemariam Ayalew & Dagim G. Belay, 2020. "The Ethiopian Commodity Exchange and Spatial Price Dispersion: Disentangling Warehouse and Price Information effects," IFRO Working Paper 2020/01, University of Copenhagen, Department of Food and Resource Economics.
    48. Burke, William J. & Myers, Robert J., 2014. "Spatial equilibrium and price transmission between Southern African maize markets connected by informal trade," Food Policy, Elsevier, vol. 49(P1), pages 59-70.
    49. Felippe Cauê Serigati & Paulo Furquim De Azevedo, 2016. "How To Indirectly Measure Market Transaction Costs," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 192, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    50. Stephan Brosig & Thomas Glauben & Linde Götz & Enno‐Burghard Weitzel & Ahmet Bayaner, 2011. "The Turkish wheat market: spatial price transmission and the impact of transaction costs," Agribusiness, John Wiley & Sons, Ltd., vol. 27(2), pages 147-161, Spring.
    51. Atanu Ghoshray, 2010. "The Extent Of The World Coffee Market," Bulletin of Economic Research, Wiley Blackwell, vol. 62(1), pages 97-107, January.
    52. Bekkis, Soumeya & Benmehaia, Mohamed Amine & Kaci, Ahcène, 2023. "Price Transmission in the Wheat Market in Algeria: Threshold Cointegration Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 11(1), January.
    53. Liefert, William M. & Persuad, Suresh, 2009. "The Transmission of Exchange Rate Changes to Agricultural Prices," Economic Research Report 55942, United States Department of Agriculture, Economic Research Service.
    54. Guo, Jinggang & Johnston, Craig M.T., 2021. "Do protectionist trade policies integrate domestic markets? Evidence from the Canada-U.S. softwood lumber dispute," Forest Policy and Economics, Elsevier, vol. 130(C).
    55. Gotz, Linde & Qiu, Feng & Glauben, Thomas, 2012. "The Law of One Price under State-Dependent Policy Intervention: An Application to the Ukrainian Wheat Market," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124904, Agricultural and Applied Economics Association.
    56. Felipe G. Avileis & Mindy L. Mallory, 2022. "The impact of Brazil on global grain dynamics: A study on cross‐market volatility spillovers," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 231-245, March.
    57. Goetz, Linde & von Cramon-Taubadel, Stephan, 2008. "Considering threshold effects in the long-run equilibrium in a vector error correction model: An application to the German apple market," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44247, European Association of Agricultural Economists.
    58. Fabio L. Mattos & Rodrigo Lanna Franco da Silveira, 2018. "The Expansion of the Brazilian Winter Corn Crop and Its Impact on Price Transmission," IJFS, MDPI, vol. 6(2), pages 1-17, April.
    59. Sihlongonyane, L.N., 2021. "Evaluating the prospect to hedge maize price risk against the Johannesburg Stock Exchange Commodity Derivatives Market prices: The case of Eswatini," Research Theses 334770, Collaborative Masters Program in Agricultural and Applied Economics.
    60. Babatunde O. Abidoye & Marlene Labuschagne, 2014. "The transmission of world maize price to South African maize market: a threshold cointegration approach," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 501-512, July.
    61. Chia‐Hsing Huang & Liang‐Chun Ho, 2011. "Do bio‐fuel policies lead to speculative behavior?," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 3(2), pages 161-174, May.
    62. Zoltán Bakucs & Štefan Bojnec & Imre Fertő, 2015. "Spatial Product Market Integration between Two Small, Open Neighbouring Economies," Agribusiness, John Wiley & Sons, Ltd., vol. 31(2), pages 171-187, April.
    63. Eskandar Elmarzougui & Bruno Larue, 2013. "On the Evolving Relationship Between Corn and Oil Prices," Agribusiness, John Wiley & Sons, Ltd., vol. 29(3), pages 344-360, June.
    64. A Ghoshray, 2009. "Nonlinear Price Transmission in Wheat Export Prices," Department of Economics Working Papers 11/09, University of Bath, Department of Economics.
    65. Popovic, Rade & Radovanov, Boris & Dunn, James W., 2016. "Food scare crisis: the effect on Serbian dairy market," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(1), October.
    66. Atanu Ghoshray, 2009. "On Price Dynamics for Different Qualities of Coffee," Review of Market Integration, India Development Foundation, vol. 1(1), pages 103-118, April.
    67. Buczkowski, Rafal & García-Azcarate, Tomás, 2015. "Are current EU cereal prices correlated?," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 15(02).
    68. Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
    69. Xiaojie Xu, 2017. "Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs," Empirical Economics, Springer, vol. 52(2), pages 731-758, March.
    70. Barry K. Goodwin & Matthew T. Holt & Gülcan Önel & Jeffrey P. Prestemon, 2018. "Copula-based nonlinear modeling of the law of one price for lumber products," Empirical Economics, Springer, vol. 54(3), pages 1237-1265, May.
    71. José César Cruz Junior & Daniel H D Capitani & Rodrigo L F Silveira, 2018. "The effect of Brazilian corn and soybean crop expansion on price and volatility transmission," Economics Bulletin, AccessEcon, vol. 38(4), pages 2273-2283.

  47. K. Balcombe, 2006. "Bayesian estimation of cointegrating thresholds in the term structure of interest rates," Empirical Economics, Springer, vol. 31(2), pages 277-289, June.

    Cited by:

    1. Lucchetti, Riccardo & Palomba, Giulio, 2009. "Nonlinear adjustment in US bond yields: An empirical model with conditional heteroskedasticity," Economic Modelling, Elsevier, vol. 26(3), pages 659-667, May.
    2. Mark Holmes & Jesus Otero & Theodore Panagiotidis, 2015. "The Expectations Hypothesis and Decoupling of Short- and Long-Term US Interest Rates: A Pairwise Approach," Working Paper series 15-31, Rimini Centre for Economic Analysis.
    3. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    4. Greb, Friederike & Krivobokova, Tatyana & von Cramon-Taubadel, Stephan & Munk, Axel, 2011. "On threshold estimation in threshold vector error correction models," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114599, European Association of Agricultural Economists.
    5. Florian Huber & Thomas Zörner, 2017. "Threshold cointegration and adaptive shrinkage," Department of Economics Working Papers wuwp250, Vienna University of Economics and Business, Department of Economics.
    6. Lucchetti, Riccardo & Palomba, Giulio, 2008. "Nonlinear Adjustment in US Bond Yields: an Empirical Analysis with Conditional Heteroskedasticity," MPRA Paper 11571, University Library of Munich, Germany.
    7. A. Ford Ramsey & Barry K. Goodwin & William F. Hahn & Matthew T. Holt, 2021. "Impacts of COVID‐19 and Price Transmission in U.S. Meat Markets," Agricultural Economics, International Association of Agricultural Economists, vol. 52(3), pages 441-458, May.

  48. Alexander Gocht & Kelvin Balcombe, 2006. "Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 223-229, September.

    Cited by:

    1. Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    2. Osti, Surendra & Bampasidou, Maria & Fannin, J. Matthew, 2018. "Revisiting Farm efficiency of Rice-Crawfish farmers: Accounting for the H-2A program," 2018 Annual Meeting, August 5-7, Washington, D.C. 274339, Agricultural and Applied Economics Association.
    3. Qingxian An & Fanyong Meng & Beibei Xiong, 2018. "Interval cross efficiency for fully ranking decision making units using DEA/AHP approach," Annals of Operations Research, Springer, vol. 271(2), pages 297-317, December.
    4. Latruffe, Laure & Fogarasi, József & Desjeux, Yann, 2012. "Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France," Economic Systems, Elsevier, vol. 36(2), pages 264-278.
    5. Isidoro GUZMÁN & Narciso ARCAS, 2008. "The Usefulness Of Accounting Information In The Measurement Of Technical Efficiency In Agricultural Cooperatives," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 79(1), pages 107-131, March.
    6. Mamardashvili, Phatima & Bokusheva, Raushan & Schmid, Dierk, 2014. "Heterogeneous Farm Output and Technical Efficiency Estimates," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(01), pages 1-15, March.
    7. Thibbotuwawa, Manoj & Mugera, Amin W. & White, Benedict, 2012. "A Non-Parametric Analysis of Rice Production Efficiency in Sri Lanka," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124423, Australian Agricultural and Resource Economics Society.
    8. Dario Pinello & Angelos Liontakis & Alexandra Sintori & Irene Tzouramani & Konstantinos Polymeros, 2016. "Assessing the Efficiency of Small-Scale and Bottom Trawler Vessels in Greece," Sustainability, MDPI, vol. 8(7), pages 1-11, July.
    9. Yiorgos Gadanakis & Francisco José Areal, 2020. "Accounting for rainfall and the length of growing season in technical efficiency analysis," Operational Research, Springer, vol. 20(4), pages 2583-2608, December.
    10. Abatania, Luke N. & Hailu, Atakelty & Mugera, Amin W., 2012. "Analysis of farm household technical efficiency in Northern Ghana using bootstrap DEA," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124211, Australian Agricultural and Resource Economics Society.
    11. Glynn T. Tonsor & Allen M. Featherstone, 2009. "Production Efficiency of Specialized Swine Producers," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 493-510.
    12. Geissler, Bernhard & Mew, Michael C. & Weber, Olaf & Steiner, Gerald, 2015. "Efficiency performance of the world's leading corporations in phosphate rock mining," Resources, Conservation & Recycling, Elsevier, vol. 105(PB), pages 246-258.
    13. Yi-Xuan Lu & Si-Ting Wang & Guan-Xin Yao & Jing Xu, 2023. "Green Total Factor Efficiency in Vegetable Production: A Comprehensive Ecological Analysis of China’s Practices," Agriculture, MDPI, vol. 13(10), pages 1-25, October.
    14. Stefan Bojnec & Laure Latruffe, 2007. "Productivity change in Slovenian agriculture during the transition: a comparison of production branches," Post-Print hal-02283465, HAL.

  49. Kelvin Balcombe & Iain Fraser & Jae Kim, 2006. "Estimating technical efficiency of Australian dairy farms using alternative frontier methodologies," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2221-2236.

    Cited by:

    1. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    2. Balcombe, Kelvin George & Doucouliagos, Hristos & Fraser, Iain, 2007. "Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 1-20.
    3. Chumpitaz, Ruben & Kerstens, Kristiaan & Paparoidamis, Nicholas & Staat, Matthias, 2010. "Comparing efficiency across markets: An extension and critique of the methodology," European Journal of Operational Research, Elsevier, vol. 205(3), pages 719-728, September.
    4. Seongho Song & David Yi, 2011. "The fundraising efficiency in U.S. non-profit art organizations: an application of a Bayesian estimation approach using the stochastic frontier production model," Journal of Productivity Analysis, Springer, vol. 35(2), pages 171-180, April.
    5. Murova, Olga I. & Chidmi, Benaissa, 2008. "Impacts of Federal Government Programs and Specific Farm Variables on Technical Effiicency of Dairy Farms," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46822, Southern Agricultural Economics Association.
    6. Sauer, J. & Davidova, S. & Gorton, M., 2013. "Land Fragmentation and Market Integration- Heterogenous Technologies in Kosovo," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    7. Artur Wilczynski & Ewa Koloszycz & Michal Switlyk, 2020. "Technical Efficiency of Dairy Farms: An Empirical Study of Producers in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 117-127.
    8. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Land Fragmentation, Market Integration and Farm Efficiency: Empirical Evidence from Kosovo," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123236, Agricultural and Applied Economics Association.
    9. Michael S. Rimler & Seongho Song & David T. Yi, 2010. "Estimating Production Efficiency in Men’s NCAA College Basketball: A Bayesian Approach," Journal of Sports Economics, , vol. 11(3), pages 287-315, June.
    10. Lucio Cecchini & Francesco Romagnoli & Massimo Chiorri & Biancamaria Torquati, 2023. "Eco-Efficiency and Its Determinants: The Case of the Italian Beef Cattle Sector," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    11. Vu Hoang Linh, 2012. "Efficiency of rice farming households in Vietnam," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 11(1), pages 60-73, April.
    12. Olga Murova & Benaissa Chidmi, 2013. "Technical efficiency of US dairy farms and federal government programs," Applied Economics, Taylor & Francis Journals, vol. 45(7), pages 839-847, March.
    13. Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
    14. Geys, Benny & Moesen, Wim, 2008. "Measuring local government technical (in)efficiency: An application and comparison of FDH, DEA and econometric approaches," Discussion Papers, Research Unit: Market Processes and Governance SP II 2008-21, WZB Berlin Social Science Center.
    15. Erol Taymaz & Ebru Voyvoda & Kamil Yilmaz, 2008. "Turkiye Imalat Sanayiinde Yapisal Dönüsüm ve Teknolojik Degisme Dinamikleri," ERC Working Papers 0804, ERC - Economic Research Center, Middle East Technical University, revised Jun 2008.
    16. Kelly, E & Shalloo, L & Geary, U & Kinsella, A. & Thorne, F & Wallace, M, 2013. "An analysis of the factors associated with technical and scale efficiency of Irish dairy farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 2(3), pages 1-11, April.
    17. Hien Thu Pham & Nhan Buu Phan & Shino Takayama, 2020. "Productivity, Efficiency and Firm Size Distribution: Evidence from Vietnam," Discussion Papers Series 617, School of Economics, University of Queensland, Australia.
    18. Johannes Sauer, 2011. "The Empirical Identification of Heterogenous Technologies and Technical Change," Post-Print hal-00768585, HAL.
    19. Świtłyk, Michał, 2021. "Using the Färe-Primont Index to Measure Changes in Total Factor Productivity of Dairy Farms," Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej 319786, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    20. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Heterogeneous Technologies as an Answer to Market and Price Risk: The Case of Kosovo," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122509, European Association of Agricultural Economists.
    21. Johannes Sauer & Catherine J. Morrison Paul, 2013. "The empirical identification of heterogeneous technologies and technical change," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1461-1479, April.
    22. Fabian Frick & Johannes Sauer, 2021. "Technological Change in Dairy Farming with Increased Price Volatility," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 564-588, June.

  50. Dirk Bezemer & Kelvin Balcombe & Junior Davis & Iain Fraser, 2005. "Livelihoods and farm efficiency in rural Georgia," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1737-1745.

    Cited by:

    1. Mutenje, Munyaradzi & Kankwamba, Henry & Mangisonib, Julius & Kassie, Menale, 2016. "Agricultural innovations and food security in Malawi: Gender dynamics, institutions and market implications," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 240-248.
    2. Regina Neudert & Naiba Allahverdiyeva & Niyaz Mammadov & Alexandre Didebulidze & Volker Beckmann, 2020. "Diversification of Livestock-Keeping Smallholders in Mountainous Rural Regions of Azerbaijan and Georgia," Land, MDPI, vol. 9(8), pages 1-25, August.
    3. Hoang, Trung X. & Pham, Cong S. & Ulubaşoğlu, Mehmet A., 2014. "Non-Farm Activity, Household Expenditure, and Poverty Reduction in Rural Vietnam: 2002–2008," World Development, Elsevier, vol. 64(C), pages 554-568.
    4. Hien Thu Pham & Nhan Buu Phan & Shino Takayama, 2020. "Productivity, Efficiency and Firm Size Distribution: Evidence from Vietnam," Discussion Papers Series 617, School of Economics, University of Queensland, Australia.
    5. Mulugeta Y. Birhanu & Tesfahun Alemayehu & Jasmine E. Bruno & Fasil Getachew Kebede & Emmanuel Babafunso Sonaiya & Ezekiel H. Goromela & Oladeji Bamidele & Tadelle Dessie, 2021. "Technical Efficiency of Traditional Village Chicken Production in Africa: Entry Points for Sustainable Transformation and Improved Livelihood," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    6. Maya Grigolia & Lasha Labadze & Pavol Minarik & Alena Zemplinerova & Marek Vokoun, 2015. "Transfer of Know-how for SMEs in Georgia, Moldova and Ukraine. White Paper: Georgia," CASE Network Reports 0123, CASE-Center for Social and Economic Research.

  51. Kelvin Balcombe & Alastair Bailey & Iain Fraser, 2005. "Measuring the impact of R&D on Productivity from a Econometric Time Series Perspective," Journal of Productivity Analysis, Springer, vol. 24(1), pages 49-72, September.

    Cited by:

    1. Stéphane Lemarié & Valérie Orozco & Jean-Pierre Butault & Antonio Musolesi & Michel Simioni & Bertrand Schmitt, 2019. "Assessing the long-term impact of agricultural research on productivity: evidence from France," Working Papers hal-02791517, HAL.
    2. Kelvin Balcombe, 2005. "Model Selection Using Information Criteria and Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 25(3), pages 207-228, June.
    3. Sajid Anwar & Sizhong Sun, 2014. "Entry of foreign firms and the R&D behaviour: a panel data study of domestic and foreign firms in China's manufacturing sector," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(8), pages 739-757, November.
    4. Makrevska Disoska, Elena & Toshevska-Trpchevska, Katerina & Tevdovski, Dragan & Jolakoski, Petar & Stojkoski, Viktor, 2021. "A longitudinal overview of the European national innovation systems through the lenses of the Community Innovation Survey," MPRA Paper 108399, University Library of Munich, Germany.
    5. Donghyuk Choi & Joseph Kang & Chiyong Kim, 2014. "Effect of R&D on firms? growth: discrepancy between sales growth and employment expansion," Proceedings of Economics and Finance Conferences 0401582, International Institute of Social and Economic Sciences.
    6. Andersen, Matthew A., 2019. "Knowledge productivity and the returns to agricultural research: a review," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), April.

  52. Richard Tiffin & Kelvin Balcombe, 2005. "Testing Symmetry and Homogeneity in the Almost Ideal Demand System with Co‐integrated Data using Fully Modified Estimation and the Bootstrap," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(2), pages 253-270, July.

    Cited by:

    1. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, January.
    2. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.

  53. Kelvin Balcombe, 2005. "Model Selection Using Information Criteria and Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 25(3), pages 207-228, June.

    Cited by:

    1. Massimiliano Kaucic, 2009. "Predicting EU Energy Industry Excess Returns on EU Market Index via a Constrained Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 173-193, September.

  54. Bailey, Alastair & Irz, Xavier & Balcombe, Kelvin, 2004. "Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture," Agricultural Economics, Blackwell, vol. 31(2-3), pages 285-295, December.

    Cited by:

    1. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    2. Ito, Junichi, 2010. "Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology," China Economic Review, Elsevier, vol. 21(3), pages 394-410, September.
    3. Antonelli, Cristiano & Quatraro, Francesco, 2008. "The Effects of Biased Technological Change on Total Factor Productivity. Empirical Evidence from a Sample of OECD Countries," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200806, University of Turin.
    4. Antonelli, Cristiano & Scellato, Giuseppe, 2009. "The Localized Introduction Of Biased Technological Change And Productivity Growth. The Empirical Evidence In The Italian Manufacturing Industry," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200908, University of Turin.
    5. Antonelli Cristiano, 2013. "The economics of technological congruence," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201306, University of Turin.
    6. James Bessen, 2008. "Accounting for Productivity Growth When Technical Change is Biased," Working Papers 0802, Research on Innovation.
    7. Cristiano Antonelli & Francesco Quatraro, 2014. "The Effects of Biased Technological Changes on Total Factor Productivity: A Rejoinder and New Empirical Evidence," GREDEG Working Papers 2014-01, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    8. Antonelli, Cristiano & Scellato, Giuseppe, 2014. "Firms Size and Directed Technological Change," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201417, University of Turin.
    9. Antonelli, Cristiano, 2016. "Technological congruence and the economic complexity of technological change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 15-24.
    10. Marijn Verschelde & Michel Dumont & Bruno Merlevede & Glenn Rayp, 2014. "A constrained nonparametric regression analysis of factor-biased technical change and TFP growth at the firm level," Working Paper Research 266, National Bank of Belgium.
    11. Antonelli, Cristiano & Quatraro, Francesco, 2009. "Localized Technological Change and Efficiency Wages: the Evidence across European Regions," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200907, University of Turin.

  55. Kelvin. G. Balcombe, 2004. "Retesting symmetry and homogeneity in a cointegrated demand system with bootstrapping: The case of meat demand in Greece," Empirical Economics, Springer, vol. 29(2), pages 451-462, May.

    Cited by:

    1. Balcombe, Kelvin & Bailey, Alastair, 2006. "Bayesian inference of a smooth transition dynamic almost ideal model of food demand in the US," MPRA Paper 17305, University Library of Munich, Germany.
    2. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, January.
    3. Blazej Mazur, 2006. "Imposing Economic Restrictions in a VECM-form Demand System," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 269-280.
    4. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.

  56. Alastair Bailey & Kelvin Balcombe & Colin Thirtle & Lindie Jenkins, 2004. "ME Estimation of Input and Output Biases of Technical and Policy Change in UK Agriculture, 1953 to 2000," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(2), pages 385-400, July.

    Cited by:

    1. Moro, Daniele & Sckokai, Paolo, 2013. "The impact of decoupled payments on farm choices: Conceptual and methodological challenges," Food Policy, Elsevier, vol. 41(C), pages 28-38.

  57. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2004. "Determinants of technical efficiency of crop and livestock farms in Poland," Applied Economics, Taylor & Francis Journals, vol. 36(12), pages 1255-1263.
    See citations under working paper version above.
  58. A. Bailey & K. Balcombe & J. Morrison & C. Thirtle, 2003. "A comparison of proxy variable and stochastic latent variable approaches to the measurement of bias in technological change in south african agriculture," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(4), pages 315-324.

    Cited by:

    1. Thirtle, Colin G. & Piesse, Jenifer & Gouse, Marnus, 2005. "Agricultural technology, productivity and employment: Policies for poverty reduction," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(1), pages 1-23, March.
    2. Luis Lanteri, 2005. "Crecimiento y la paradoja de la productividad: Una estimación en la forma de state-space con componentes no observables para el sector agropecuario argentino, 1955-2003," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 20(1), pages 53-78.

  59. Morrison, J. A. & Balcombe, K. & Bailey, A. & Klonaris, S. & Rapsomanikis, G., 2003. "Expenditure on different categories of meat in Greece: the influence of changing tastes," Agricultural Economics, Blackwell, vol. 28(2), pages 139-150, March.

    Cited by:

    1. Faruk Urak & Abdulbaki Bilgic & Gürkan Bozma & Wojciech J. Florkowski & Erkan Efekan, 2022. "Volatility in Live Calf, Live Sheep, and Feed Wheat Return Markets: A Threat to Food Price Stability in Turkey," Agriculture, MDPI, vol. 12(4), pages 1-24, April.
    2. Anders, Sven M. & Moeser, Anke, 2008. "Using Retail Scanner Data to Assess the Demand for Value-based Ground Meat Products in Canada," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44154, European Association of Agricultural Economists.

  60. K. Balcombe & C. J. McDermott, 2003. "Testing for asymmetric price stickiness using NZ business opinion data: a bootstrap approach," Applied Economics Letters, Taylor & Francis Journals, vol. 10(15), pages 955-958.

    Cited by:

  61. Jamie Morrison & Kelvin Balcombe, 2002. "Policy analysis matrices: beyond simple sensitivity analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 14(4), pages 459-471.

    Cited by:

    1. Gonchigsumlaa, Ganzorig & von Cramon-Taubadel, Stephan & Soninkhishig, Nergui & Buerkert, Andreas, 2019. "Competitiveness of sea buckthorn farming in Mongolia: A policy analysis matrix," MPRA Paper 109876, University Library of Munich, Germany, revised 20 Apr 2020.

  62. Kelvin Balcombe & Alastair Bailey & Jamie Morrison, 2002. "Stochastic Biases in Technical Change in U.S. Agriculture: A Bootstrap Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(1), pages 67-84, March.

    Cited by:

    1. Bailey, Alastair & Irz, Xavier T. & Balcombe, Kelvin George, 2003. "An Appliation Of The Stochastic Latent Variable Approach To The Correction Of Sector Level Tfp Calculations In The Face Of Biased Technological Change," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25842, International Association of Agricultural Economists.
    2. Christopher Klein & Shea Slonaker, 2010. "Chart Turnover and Sales in the Recorded Music Industry: 1990–2005," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(4), pages 351-372, June.
    3. Bailey, Alastair & Irz, Xavier & Balcombe, Kelvin, 2004. "Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture," Agricultural Economics, Blackwell, vol. 31(2-3), pages 285-295, December.

  63. Balcombe, Kelvin & Tiffin, Richard, 2002. "Fully modified estimation with cross-equation restrictions," Economics Letters, Elsevier, vol. 74(2), pages 257-263, January.

    Cited by:

    1. Tiffin, J. Richard & Balcombe, Kelvin George, 2003. "Testing Symmetry And Homogeneity In The Aids With Cointegrated Data Using Fully-Modified Estimation And The Bootstrap," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25845, International Association of Agricultural Economists.

  64. Kelvin Balcombe & Richard Tiffin, 2002. "Bootstrap testing of the expectations hypothesis with the term structure of interest rates," Applied Economics Letters, Taylor & Francis Journals, vol. 9(9), pages 563-566.

    Cited by:

    1. Shigeyuki Hamori & Naoko Hamori, 2009. "International term structure of interest rates in the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 16(11), pages 1113-1116.
    2. Minoas Koukouritakis & Leo Michelis, 2008. "The term structure of interest rates in the 12 newest EU countries," Applied Economics, Taylor & Francis Journals, vol. 40(4), pages 479-490.

  65. A. B. Prakash & E. H. D'A. Oliver & K. Balcombe, 2001. "Does building new roads really create extra traffic? Some new evidence," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1579-1585.

    Cited by:

    1. Devine, Jon & Plastina, Alejandro S. & Theriault, Veronique, 2012. "Cotton Market Integration across Countries, among Qualities, and through Time," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124962, Agricultural and Applied Economics Association.
    2. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.
    3. Taslim, M A & Hossain, Md Amzad, 2015. "Asymmetric Transmission of International Price of Edible Oil in Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 38(01), pages 33-54, March.
    4. González, Rosa Marina & Marrero, Gustavo A., 2012. "Induced road traffic in Spanish regions: A dynamic panel data model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 435-445.
    5. Concas, Sisinnio, 2012. "Highway capital expenditures and induced vehicle travel," MPRA Paper 40757, University Library of Munich, Germany, revised 12 Aug 2012.
    6. Rahman, Mohammad Chhiddikur, 2018. "Welfare Impact of Asymmetric Price Transmission on Bangladesh Rice Consumers," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 251114, July.
    7. Carlos Oliveira Cruz & Joaquim Miranda Sarmento, 2020. "Traffic forecast inaccuracy in transportation: a literature review of roads and railways projects," Transportation, Springer, vol. 47(4), pages 1571-1606, August.
    8. Phil Goodwin & Robert Noland, 2003. "Building new roads really does create extra traffic: a response to Prakash et al," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1451-1457.
    9. Rahman, Mohammad Chhiddikur, 2020. "Welfare Impact of Asymmetric Price Transmission on Bangladesh Rice Consumers," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 242248, July.

  66. Balcombe, Kelvin George & Bailey, Alastair & Morrison, Jamie & Rapsomanikis, George & Thirtle, Colin G., 2000. "Stochastic biases in technical change in South African agriculture," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(4), pages 1-9, December.

    Cited by:

    1. Pauw, Karl & Leibbrandt, Murray, 2012. "Minimum Wages and Household Poverty: General Equilibrium Macro–Micro Simulations for South Africa," World Development, Elsevier, vol. 40(4), pages 771-783.
    2. Bailey, Alastair & Irz, Xavier T. & Balcombe, Kelvin George, 2003. "An Appliation Of The Stochastic Latent Variable Approach To The Correction Of Sector Level Tfp Calculations In The Face Of Biased Technological Change," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25842, International Association of Agricultural Economists.
    3. Beatrice Conradie, 2004. "Wages and wage elasticities for wine and table grapes in South Africa," SALDRU/CSSR Working Papers 090, Southern Africa Labour and Development Research Unit, University of Cape Town.
    4. Christopher Klein & Shea Slonaker, 2010. "Chart Turnover and Sales in the Recorded Music Industry: 1990–2005," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(4), pages 351-372, June.
    5. Bailey, Alastair & Irz, Xavier & Balcombe, Kelvin, 2004. "Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture," Agricultural Economics, Blackwell, vol. 31(2-3), pages 285-295, December.

  67. K Balcombe & A Prakash, 2000. "Estimating the long-run supply and demand for agricultural labour in the UK," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(2), pages 153-166, June.

    Cited by:

    1. Pavel Ciaian, 2002. "The impact of the Common Agricultural Policy on income distribution and welfare in Central and Eastern European Countries," EERI Research Paper Series EERI_RP_2002_02, Economics and Econometrics Research Institute (EERI), Brussels.
    2. Ciaian, Pavel & Kancs, d'Artis, 2011. "Food, energy and environment: Is bioenergy the missing link?," Food Policy, Elsevier, vol. 36(5), pages 571-580, October.
    3. Ciaian, Pavel & Kancs, d'Artis, 2010. "Interdependencies in the Energy-Bioenergy-Food Price Systems: A Cointegration Analysis," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61009, Agricultural and Applied Economics Association.
    4. Pavel Ciaian & Edoardo Baldoni & d'Artis Kancs & Dusan Drabik, 2020. "The Capitalization of Agricultural Subsidies into Land Prices," EERI Research Paper Series EERI RP 2020/09, Economics and Econometrics Research Institute (EERI), Brussels.
    5. Tomas Kucera, 2020. "Are Employment Effects of Minimum Wage the Same Across the EU? A Meta-Regression Analysis," Working Papers IES 2020/2, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2020.

  68. K. Balcombe & S. Davidova & J. A. Morrison, 1999. "Consumer Behaviour in a Country in Transition with a Strongly Contracting Economy: The Case of Food Consumption in Bulgaria," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 36-47, January.

    Cited by:

    1. Goodwin, Barry K. & Phaneuf, Daniel J., 2001. "Microeconometric Modeling Of Household Food Demand: The Case Of Transition Bulgaria," 2001 Annual meeting, August 5-8, Chicago, IL 20713, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Firici, M. Carmen & Thomson, Kenneth J., 2002. "Distributional Impacts of CAP Adoption on Romanian Households," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24818, European Association of Agricultural Economists.
    3. Rask, Kolleen J. & Rask, Norman, 2011. "Economic development and food production-consumption balance: A growing global challenge," Food Policy, Elsevier, vol. 36(2), pages 186-196, April.

  69. K. G. Balcombe & L. E. D. Smith, 1999. "Refining the use of Monte Carlo techniques for risk analysis in project planning," Journal of Development Studies, Taylor & Francis Journals, vol. 36(2), pages 113-135.

    Cited by:

    1. Elisangela Domingues Vaz & Regio Marcio Toesca Gimenes & Joao Augusto Rossi Borges & Rafael Todescato Cavalheiro & Andreia Maria Kremer, 2020. "Own Grain Storage Structures: Is It Worth Investing?," Journal of Agricultural Studies, Macrothink Institute, vol. 8(2), pages 42-67, June.
    2. Glenn Jenkins & ANDREY KLEVCHUK, 2002. "Investment Appraisal of an Animal Feed Plant in South Africa," Development Discussion Papers 2002-10, JDI Executive Programs.
    3. Jamie Morrison & Kelvin Balcombe, 2002. "Policy analysis matrices: beyond simple sensitivity analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 14(4), pages 459-471.
    4. Glenn P. Jenkins & Chun-Yan kuo & Arnold C. Harberger, 2020. "Analyse Couts-Avantages Pour Les Decisions D’Investissement Chapitre 6:Faire Face À L'incertitude Et Au Risque Dans L'évaluation Des Investissements," Development Discussion Papers 2020-06, JDI Executive Programs.
    5. Glenn Jenkins & Chun-Yan Kuo & Arnold C. Harberger, 2011. "Cost-Benefit Analysis for Investment Decisions: Chapter 6 (Dealing With Uncertainty and Risk in Investment Appraisal)," Development Discussion Papers 2011-06, JDI Executive Programs.

  70. Kelvin Balcombe, 1999. "More evidence concerning the relationship between high and variable inflation: a more general approach," Applied Economics Letters, Taylor & Francis Journals, vol. 6(1), pages 59-61.

    Cited by:

    1. James Payne, 2009. "Inflation targeting and the inflation-inflation uncertainty relationship: evidence from Thailand," Applied Economics Letters, Taylor & Francis Journals, vol. 16(3), pages 233-238.
    2. Sajid Amin Javed & Saud Ahmad Khan & Azad Haider & Farzana Shaheen, 2012. "Inflation and Inflation Uncertainty Nexus: Empirical Evidence from Pakistan," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 348-356.
    3. Paul Beaumont & Stefan Norrbin & F. Pinar Yigit, 2007. "Time series evidence on the linkage between the volatility and growth of output," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 45-48.
    4. James Payne, 2009. "Official dollarization in El Salvador and the inflation-inflation uncertainty nexus," Applied Economics Letters, Taylor & Francis Journals, vol. 16(12), pages 1195-1199.

  71. Kelvin Balcombe, 1999. "Seasonal Unit Root Tests with Structural Breaks in Deterministic Seasonality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 569-582, November.

    Cited by:

    1. Hassler, Uwe & Rodrigues, Paulo M. M., 2002. "Seasonal Unit Root Tests under Structural Breaks," Darmstadt Discussion Papers in Economics 113, Darmstadt University of Technology, Department of Law and Economics.
    2. B. da Silva Lopes, Artur C., 2005. "Finite sample effects of pure seasonal mean shifts on Dickey-Fuller tests," MPRA Paper 125, University Library of Munich, Germany, revised May 2006.
    3. Kunst, Robert M., 2014. "A Combined Nonparametric Test for Seasonal Unit Roots," Economics Series 303, Institute for Advanced Studies.
    4. Artur C. B. da Silva Lopes & Antonio Montanes, 2005. "The Behavior Of Hegy Tests For Quarterly Time Series With Seasonal Mean Shifts," Econometric Reviews, Taylor & Francis Journals, vol. 24(1), pages 83-108.
    5. Harvey, David I. & Leybourne, Stephen J. & Newbold, Paul, 2002. "Seasonal unit root tests with seasonal mean shifts," Economics Letters, Elsevier, vol. 76(2), pages 295-302, July.
    6. Artur C. B. Da Silva Lopes, 2008. "Finite Sample Effects Of Pure Seasonal Mean Shifts On Dickey–Fuller Tests: A Simulation Study," Manchester School, University of Manchester, vol. 76(5), pages 528-538, September.

  72. Balcombe, Kelvin, 1996. "The Carlson-Parkin method applied to NZ price expectations using QSBO survey data," Economics Letters, Elsevier, vol. 51(1), pages 51-57, April.

    Cited by:

    1. Loffler, Gunter, 1999. "Refining the Carlson-Parkin method," Economics Letters, Elsevier, vol. 64(2), pages 167-171, August.
    2. Francisco Dias & Cláudia Duarte & António Rua, 2010. "Inflation expectations in the euro area: are consumers rational?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 591-607, September.
    3. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    4. K. Balcombe & C. J. McDermott, 2003. "Testing for asymmetric price stickiness using NZ business opinion data: a bootstrap approach," Applied Economics Letters, Taylor & Francis Journals, vol. 10(15), pages 955-958.
    5. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
    6. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data: A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.
    7. Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.
    8. Zhang, Chengsi & Dang, Chao, 2018. "Is monetary policy forward-looking in China?," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 4-14.
    9. Mitchell, James, 2002. "The use of non-normal distributions in quantifying qualitative survey data on expectations," Economics Letters, Elsevier, vol. 76(1), pages 101-107, June.
    10. Kjellberg, David, 2006. "Measuring Expectations," Working Paper Series 2006:9, Uppsala University, Department of Economics.
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    1. Sulgham, Anil K. & Zapata, Hector O., 2006. "A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35441, Southern Agricultural Economics Association.
    2. Minoas Koukouritakis, 2005. "EU Accession Effects on the Demand for Manufactures: the Case of Greece," Working Papers 0506, University of Crete, Department of Economics.
    3. Goodwin, Barry K. & Phaneuf, Daniel J., 2001. "Microeconometric Modeling Of Household Food Demand: The Case Of Transition Bulgaria," 2001 Annual meeting, August 5-8, Chicago, IL 20713, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    5. Muhammad, Andrew & Jones, Keithly G., 2009. "An Assessment Of Dynamic Behavior In The U.S. Catfish Market: An Application Of The Generalized Dynamic Rotterdam Model," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 45912, Southern Agricultural Economics Association.
    6. Janda, Karel & Rausser, Gordon C. & McCluskey, Jill, 1998. "Food import demand in the Czech Republic," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt14j5p75j, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Rathnayaka, Shashika D. & Selvanathan, Eliyathamby A. & Selvanathan, Saroja, 2022. "Modelling the consumption patterns in the Asian countries," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 277-296.
    8. Karagiannis, G. & Mergos, G. J., 2002. "Estimating theoretically consistent demand systems using cointegration techniques with application to Greek food data," Economics Letters, Elsevier, vol. 74(2), pages 137-143, January.
    9. Minoas Koukouritakis, 2003. "EU Accession Effects on Imports of Manufactures: The case of Greece," University of Cyprus Working Papers in Economics 2-2003, University of Cyprus Department of Economics.
    10. Baek, Ji Won, 2016. "The effects of the Internet and mobile services on urban household expenditures: The case of South Korea," Telecommunications Policy, Elsevier, vol. 40(1), pages 22-38.
    11. Karagiannis, G. & Katranidis, S. & Velentzas, K., 2000. "An error correction almost ideal demand system for meat in Greece," Agricultural Economics, Blackwell, vol. 22(1), pages 29-35, January.
    12. Duffy, Martyn, 2003. "On the estimation of an advertising-augmented, cointegrating demand system," Economic Modelling, Elsevier, vol. 20(1), pages 181-206, January.
    13. Iootty, Mariana & Pinto Jr., Helder & Ebeling, Francisco, 2009. "Automotive fuel consumption in Brazil: Applying static and dynamic systems of demand equations," Energy Policy, Elsevier, vol. 37(12), pages 5326-5333, December.
    14. Chang, Kuo-Liang & Elliott, Lisa M. & Sand, Shannon & Dailey, Rocky & Blachford, Sierra, 2014. "A Study of the Impacts of Social Media Outlets on Generation-X and Millennial Consumers’ Beef Consumption, with an Emphasis on the Importance of Nutrition Information," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169648, Agricultural and Applied Economics Association.
    15. Junior Davis, 2006. "Rural non-farm livelihoods in transition economies: emerging issues and policies," The Electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations, vol. 3(2), pages 180-224.
    16. Shashika D. Rathnayaka & Saroja Selvanathan & E. A. Selvanathan, 2021. "Demand for animal‐derived food in selected Asian countries: A system‐wide analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 97-122, January.
    17. Dirk Bezemer & Junior Davis, 2005. "The rural non-agricultural economy in transition countries: Enterprise level findings from Armenia," Development and Comp Systems 0510020, University Library of Munich, Germany.
    18. Ben Kaabia, Monia & Gil, Jose Maria, 2007. "The EU demand for imports of virgin olive oil," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9390, European Association of Agricultural Economists.
    19. Elias Mantzouneas & George Mergos & Chrysostomos Stoforos, 2004. "Modelling food consumption patterns in Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 11(8), pages 507-512.
    20. Zhang, Aihua & Lv, Jia & Kong, Ying, 2017. "The Effects of the Internet and Mobile Services on Urban Household Expenditures," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168554, International Telecommunications Society (ITS).
    21. Diotallevi, Francesco, 2010. "L’analisi della domanda degli oli extravergine d’oliva in Italia Un’applicazione del modello A.I.D.S [The analysis of the demand for extra virgin olive oil in Italy An application of the AIDSmodel]," MPRA Paper 41469, University Library of Munich, Germany.

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