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Svend Rasmussen

Personal Details

First Name:Svend
Middle Name:
Last Name:Rasmussen
Suffix:
RePEc Short-ID:pra373
[This author has chosen not to make the email address public]
+45 51515173

Affiliation

Institut for Fødevare- og Ressourceøkonomi
Københavns Universitet

København, Denmark
http://www.ifro.ku.dk/
RePEc:edi:foikudk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Svend Rasmussen, 2013. "A model for the optimal risk management of (farm) firms," IFRO Working Paper 2013/10, University of Copenhagen, Department of Food and Resource Economics.
  2. Rasmussen, Svend, 2011. "Estimating the Technical Optimal Scale of Production in Danish Agriculture," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114790, European Association of Agricultural Economists.
  3. Rasmussen, Svend & Damgaard, Martin, 2008. "Numerical Estimation of Agricultural Supply Functions - A Micro Economic Approach based on Mathematical Programming," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44181, European Association of Agricultural Economists.
  4. Rasmussen, Svend & Karantininis, Kostas, 2005. "Estimating State-Contingent Production Functions," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24529, European Association of Agricultural Economists.
  5. Wiborg, Torben & McCarl, Bruce A. & Rasmussen, Svend & Schneider, Uwe A., 2005. "Aggregation and Calibration of Agricultural Sector Models Through Crop Mix Restrictions and Marginal Profit Adjustments," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24567, European Association of Agricultural Economists.
  6. Rasmussen, Svend, 2004. "Optimizing Production under Uncertainty: Generalisation of the State-Contingent Approach and Comparison of Methods for Empirical Application," Unit of Economics Working Papers 24184, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
  7. Rasmussen, Svend, 2003. "Driftsokonomiske tab ved pesticidfri dyrkning af landbrugsafgroder - et case-studium," Unit of Economics Working Papers 24202, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
  8. Rasmussen, Svend, 2000. "Technological Change and Economies of Scale in Danish Agriculture," Unit of Economics Working Papers 24185, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.

Articles

  1. Svend Rasmussen, 2010. "Scale efficiency in Danish agriculture: an input distance--function approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(3), pages 335-367, September.
  2. Svend Rasmussen, 2003. "Criteria for optimal production under uncertainty. The state‐contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 447-476, December.
  3. Rasmussen, Svend & Nielsen, A Hjortshoj, 1989. "The Impact of Quotas on the Optimal Adjustment of Milk Production at the Farm Level: Reply," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 16(4), pages 523-524.
  4. Rasmussen, Svend & Neilsen, A Hjortshoj, 1985. "The Impact of Quotas on the Optimal Adjustment of Milk Production at the Farm Level," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 12(4), pages 351-364.

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.

Working papers

  1. Rasmussen, Svend, 2011. "Estimating the Technical Optimal Scale of Production in Danish Agriculture," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114790, European Association of Agricultural Economists.

    Cited by:

    1. Mikkel Bojesen & Hans Skov-Petersen & Morten Gylling, 2013. "Forecasting the potential of Danish biogas production: spatial representation of Markov chains," IFRO Working Paper 2013/16, University of Copenhagen, Department of Food and Resource Economics.
    2. Adamides, George, 2020. "Heuristic Evaluation of the User Interface for a Semi-Autonomous Agricultural Robot Sprayer," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    3. Plogmann, Jana & Mußhoff, Oliver & Odening, Martin & Ritter, Matthias, 2020. "Farm growth and land concentration," FORLand Working Papers 24 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    4. Ibe, Rebecca & Rahji, Mohammed & Adeoti, Adetola & Adenegan, Kemisola, 2020. "Household Demand for Fruits and Vegetables in Rural and Urban South-Western Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    5. Thuy, Phan Thi & Niem, Le Duc & Lebailly, Philippe, 2020. "Recent Evolution of Perennial Crop Farms: Evidence from Dak Lak Province, Vietnam," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    6. Žáková Kroupová, Zdeňka & Hálová, Pavlína & Rumánková, Lenka, 2020. "Productivity of Czech Milk Production in European Comparison," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    7. Tomas Baležentis, 2016. "Stochastic production frontier for the Lithuanian family farms," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(2), pages 283-298, April.
    8. Kartal, Serkan & Choudhary, Sunita & Stočes, Michal & Šimek, Pavel & Vokoun, Tomáš & Novák, Vojtěch, 2020. "Segmentation of Bean-Plants Using Clustering Algorithms," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    9. Žáková Kroupová, Zdeňka & Hálová, Pavlína & Rumánková, Lenka, 2020. "Productivity of Czech Milk Production in European Comparison," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(3), September.
    10. Tohidi, Amirhossein & Ghorbani, Mohammad & Karbasi, Ali-Reza & Asgharpourmasouleh, Ahmadreza & Hassani-Mahmooei, Behrooz, 2020. "Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    11. Pánková, Ludmila & Aulová, Renata & Jarolímek, Jan, 2020. "Economic Aspects of Precision Agriculture Systems," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    12. Adamides, George, 2020. "Heuristic Evaluation of the User Interface for a Semi-Autonomous Agricultural Robot Sprayer," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    13. Martini, Bruno Guilherme & Helfer, Gilson Augusto & Barbosa, Jorge Luis Victória & Modolo, Regina Célia Espinosa & da Silva, Marcio Rosa & de Figueiredo, Rodrigo Marques, 2020. "Prediction and Context Awareness in Agriculture: A Systematic Mapping," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    14. Exenberger, Emil & Bucko, Jozef, 2020. "Analysis of Online Consumer Behavior - Design of CRISP-DM Process Model," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(3), September.
    15. Prokopchuk, Olena & Prokopchuk, Ihor & Mentel, Grzegorz & Bilan, Yuriy, 2020. "Parametric Insurance as Innovative Development Factor of the Agricultural Sector of Economy," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.

  2. Rasmussen, Svend & Karantininis, Kostas, 2005. "Estimating State-Contingent Production Functions," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24529, European Association of Agricultural Economists.

    Cited by:

    1. Pedro Macedo & Elvira Silva & Manuel Scotto, 2014. "Technical efficiency with state-contingent production frontiers using maximum entropy estimators," Journal of Productivity Analysis, Springer, vol. 41(1), pages 131-140, February.

  3. Wiborg, Torben & McCarl, Bruce A. & Rasmussen, Svend & Schneider, Uwe A., 2005. "Aggregation and Calibration of Agricultural Sector Models Through Crop Mix Restrictions and Marginal Profit Adjustments," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24567, European Association of Agricultural Economists.

    Cited by:

    1. Maxwell Mkondiwa & Jeffrey Apland, 2022. "Inter-district food flows in Malawi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1553-1568, December.
    2. Zech, Konstantin M. & Schneider, Uwe A., 2019. "Technical biofuel production and GHG mitigation potentials through healthy diets in the EU," Agricultural Systems, Elsevier, vol. 168(C), pages 27-35.
    3. Schneider, Uwe A. & Havlík, Petr & Schmid, Erwin & Valin, Hugo & Mosnier, Aline & Obersteiner, Michael & Böttcher, Hannes & Skalský, Rastislav & Balkovic, Juraj & Sauer, Timm & Fritz, Steffen, 2011. "Impacts of population growth, economic development, and technical change on global food production and consumption," Agricultural Systems, Elsevier, vol. 104(2), pages 204-215, February.
    4. Mack, Gabriele & Ferjani, Ali & Mohring, Anke & Zimmerman, Albert & Mann, Stefan, 2015. "How did farmers act? An ex-post validation of normative and positive mathematical programming for an agent-based sector model," 2015 Conference, August 9-14, 2015, Milan, Italy 212201, International Association of Agricultural Economists.

  4. Rasmussen, Svend, 2004. "Optimizing Production under Uncertainty: Generalisation of the State-Contingent Approach and Comparison of Methods for Empirical Application," Unit of Economics Working Papers 24184, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.

    Cited by:

    1. Adamson, David & Oss-Emer, Max & Quiggin, John, 2011. "Property Rights and Water Buy Back in Australia's Murray-Darling Basin," Risk and Sustainable Management Group Working Papers 149883, University of Queensland, School of Economics.
    2. Tomasz Gerard Czekaj & Arne Henningsen, 2013. "Panel Data Nonparametric Estimation of Production Risk and Risk Preferences: An Application to Polish Dairy Farms," IFRO Working Paper 2013/6, University of Copenhagen, Department of Food and Resource Economics.
    3. Sriram Shankar, 2012. "Production economics in the presence of risk," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 597-620, October.
    4. C. J. O'Donnell & W. E. Griffiths, 2006. "Estimating State-Contingent Production Frontiers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 249-266.

  5. Rasmussen, Svend, 2003. "Driftsokonomiske tab ved pesticidfri dyrkning af landbrugsafgroder - et case-studium," Unit of Economics Working Papers 24202, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.

    Cited by:

    1. Henrik Vejre & Jens Peter Vesterager & Lone S. Kristensen & Jørgen Primdahl, 2011. "Stakeholder and expert-guided scenarios for agriculture and landscape development in a groundwater protection area," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(9), pages 1169-1187, November.

  6. Rasmussen, Svend, 2000. "Technological Change and Economies of Scale in Danish Agriculture," Unit of Economics Working Papers 24185, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.

    Cited by:

    1. Darragh Clancy & A. Kazukauskas & C. Newman & Fiona Thorne, 2009. "An investigation of the level of structural change in the agrifood sector of Ireland, Denmark and the Netherlands," Working Papers 0915, Rural Economy and Development Programme,Teagasc.

Articles

  1. Svend Rasmussen, 2010. "Scale efficiency in Danish agriculture: an input distance--function approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(3), pages 335-367, September.

    Cited by:

    1. Duvaleix-Tréguer, Sabine & Gaigné, Carl, 2015. "Producer Organizations and Members Performance in Hog Production," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205494, Agricultural and Applied Economics Association.
    2. Jean Joseph Minviel & Kristof De Witte, 2016. "The influence of public subsidies on farm technical efficiency: A robust conditional nonparametric approach," Working Papers SMART 16-10, INRAE UMR SMART.
    3. Arne Henningsen & Tomasz Gerard Czekaj & Björn Forkman & Mogens Lund & Aske Schou Nielsen, 2018. "The Relationship between Animal Welfare and Economic Performance at Farm Level: A Quantitative Study of Danish Pig Producers," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(1), pages 142-162, February.
    4. Imke Hering & Oliver Musshoff, 2017. "Progressive Lending in Microfinance—What about the Farmers?," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 803-828, August.
    5. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    6. Helis Luik-Lindsaar & Ants-Hannes Viira & Haldja Viinalass & Tanel Kaart & Rando Värnik, 2018. "How do herd's genetic level and milk quality affect performance of dairy farms?," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 63(10), pages 379-388.
    7. Luik, Helis & Viira, Ants-Hannes & Värnik, Rando, 2014. "Using the information about dairy herd’s genetic level and milk quality in explaining the technical efficiency of Estonian dairy farms: a two-stage (DEA and Tobit) approach," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182650, European Association of Agricultural Economists.
    8. Jakob Vesterlund Olsen & Arne Henningsen, 2011. "Investment Utilisation, Adjustment Costs, and Technical Efficiency in Danish Pig Farms," IFRO Working Paper 2011/13, University of Copenhagen, Department of Food and Resource Economics.
    9. Minviel, Jean Joseph & Latruffe, Laure, 2014. "Meta-regression analysis of the impact of agricultural subsidies on farm technical efficiency," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182767, European Association of Agricultural Economists.
    10. Tomáš DOUCHA & Ivan Foltýn & Jaroslav HUMPÁL, 2012. "Profitability of dairy and suckler cows breeding on Czech farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 58(9), pages 397-408.
    11. 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.
    12. Alphonse Singbo & Bruno Larue, 2016. "Scale Economies, Technical Efficiency, and the Sources of Total Factor Productivity Growth of Quebec Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 339-363, June.
    13. 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.
    14. 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.
    15. Carl Gaigné & Sabine Duvaleix-Treguer, 2016. "On the Nature and Magnitude of Cost Economies in Hog Production," Post-Print hal-01238428, HAL.
    16. 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.
    17. Gbemay Singbo, Alphonse & Larue, Bruno, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Working Papers 182482, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    18. Nguyen, Huy Quynh, 2017. "Analyzing the economies of crop diversification in rural Vietnam using an input distance function," Agricultural Systems, Elsevier, vol. 153(C), pages 148-156.
    19. Ali D. Cagdas & Scott R. Jeffrey & Elwin G. Smith & Peter C. Boxall, 2016. "Environmental Stewardship and Technical Efficiency in Canadian Prairie Canola Production," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 455-477, September.
    20. Nguyen, Huy, 2015. "Crop diversification, economic performance and household behaviour Evidence from Vietnam," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204224, Agricultural Economics Society.
    21. Diarra, Lacina, 2020. "Rural off-farm employment and agricultural production efficiency: evidence from Tazania," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304600, Agricultural and Applied Economics Association.
    22. Koiry, Subrata & Huang, Wei, 2023. "Do ecological protection approaches affect total factor productivity change of cropland production in Sweden?," Ecological Economics, Elsevier, vol. 209(C).
    23. Jesse Tack & Rulon Pope & Jeffrey LaFrance & Ricardo Cavazos, 2014. "Modeling an Aggregate Agricultural Panel with Application to U.S. Farm Input Demands," Monash Economics Working Papers 23-14, Monash University, Department of Economics.
    24. Wirat Krasachat, 2023. "The Effect of Good Agricultural Practices on the Technical Efficiency of Chili Production in Thailand," Sustainability, MDPI, vol. 15(1), pages 1-25, January.
    25. Bonfiglio, Andrea & Henke, Roberto & Pierangeli, Fabio & D’Andrea, Maria Rosaria Pupo, 2018. "Direct payments and competitiveness. Assessing redistributive effects of internal convergence in Italy," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271955, European Association of Agricultural Economists.
    26. David Hadley & Euan Fleming & Renato Villano, 2013. "Is Input Mix Inefficiency Neglected in Agriculture? A Case Study of Pig-based Farming Systems in England and Wales," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 505-515, June.
    27. Camelia Burja, 2012. "Determinants Of The Agricultural Productivity Growth Among Romanian Regions," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(14), pages 1-18.
    28. A. Wondemu Kifle, 2016. "Working Paper 237 - Decomposing Sources of Productivity Change in Small-Scale Farming in Ethiopia," Working Paper Series 2332, African Development Bank.
    29. Dagim G. Belay & Jørgen D. Jensen, 2022. "Quantitative input restriction and farmers’ economic performance: Evidence from Denmark's yellow card initiative on antibiotics," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 155-171, February.
    30. Alem, Habtamu1 & Lien, Gudbrand1 & Kumbhakar, Subal C1 & Hardaker, J. Brian, 2017. "Economies Of Scale And Scope In The Norwegian Agriculture," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260907, European Association of Agricultural Economists.
    31. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.
    32. Olsen, Jakob Vesterlund & Czekaj, Tomasz Gerard & Henningsen, Arne & Schou, Jesper Sølver, 2017. "The Effect Of Land Fragmentation On Farm Performance: A Comprehensive Farm-Level Study From Denmark," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260900, European Association of Agricultural Economists.
    33. Wettemann, Patrick Johannes Christopher & Latacz-Lohmann, Uwe, 2017. "An efficiency-based concept to assess potential cost and greenhouse gas savings on German dairy farms," Agricultural Systems, Elsevier, vol. 152(C), pages 27-37.
    34. Rada, Nicholas & Helfand, Steven & Magalhães, Marcelo, 2019. "Agricultural productivity growth in Brazil: Large and small farms excel," Food Policy, Elsevier, vol. 84(C), pages 176-185.
    35. Hering, Imke & Mußhoff, Oliver, 2016. "Loan Defaults In Microfinance - Forewarned Is Forearmed," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244780, German Association of Agricultural Economists (GEWISOLA).
    36. Maximilian Koppenberg, 2023. "Markups, organic agriculture and downstream concentration at the example of European dairy farmers," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 161-178, March.
    37. Helfand, Steven M. & Taylor, Matthew P.H., 2021. "The inverse relationship between farm size and productivity: Refocusing the debate," Food Policy, Elsevier, vol. 99(C).
    38. Zhaohui Yan & Mingli Wang & Xujun Li & Hui Jiang, 2023. "Impact of African Swine Fever Epidemic on the Cost Intensity of Pork Production in China," Agriculture, MDPI, vol. 13(2), pages 1-18, February.
    39. Cagdas, Ali D. & Jeffrey, Scott R. & Smith, Elwin G. & Boxall, Peter C., 2013. "Adoption of BMPs and technical inefficiency in Canadian canola production," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150200, Agricultural and Applied Economics Association.
    40. Alphonse G. Singbo & Bruno Larue, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Cahiers de recherche CREATE 2014-7, CREATE.
    41. 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.
    42. Yongseung Han & Arthur Snow & Ronald S. Warren, 2021. "Changes in the productive efficiency of U.S. flour mills in the late nineteenth century: an input-distance-function approach," Journal of Productivity Analysis, Springer, vol. 56(2), pages 115-132, December.

  2. Svend Rasmussen, 2003. "Criteria for optimal production under uncertainty. The state‐contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 447-476, December.

    Cited by:

    1. Quiggin, John C. & Chambers, Robert G., 2006. "The state-contingent approach to production under uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(2), pages 1-17, June.
    2. S.Shankar & C.J. O’Donnell & John Quiggin, 2010. "Production Under Uncertainty: A Simulation Study," CEPA Working Papers Series WP052010, School of Economics, University of Queensland, Australia.
    3. Rasmussen, Svend, 2004. "Optimizing Production under Uncertainty: Generalisation of the State-Contingent Approach and Comparison of Methods for Empirical Application," Unit of Economics Working Papers 24184, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
    4. Adamson, David & Loch, Adam & Schwabe, Kurt, 2017. "Adaptation responses to increasing drought frequency," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(3), July.
    5. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John C., 2007. "Water use and salinity in the Murray–Darling Basin: A state-contingent model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(3), pages 1-19.
    6. Zdeňka Náglová & Tamara Rudinskaya, 2021. "Factors Influencing Technical Efficiency in the EU Dairy Farms," Agriculture, MDPI, vol. 11(11), pages 1-14, November.
    7. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John, 2004. "Modelling basin level allocation of water in the Murray Darling Basin in a world of uncertainty," Risk and Sustainable Management Group Working Papers 149844, University of Queensland, School of Economics.
    8. Pedro Macedo & Elvira Silva & Manuel Scotto, 2014. "Technical efficiency with state-contingent production frontiers using maximum entropy estimators," Journal of Productivity Analysis, Springer, vol. 41(1), pages 131-140, February.
    9. Sriram Shankar, 2012. "Production economics in the presence of risk," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 597-620, October.
    10. Adam Loch & David Adamson, 2015. "Drought and the rebound effect: a Murray–Darling Basin example," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1429-1449, December.
    11. Quiggin, John & Chambers, Robert G., 2005. "The state-contingent approach to production and uncertainty," Risk and Sustainable Management Group Working Papers 151168, University of Queensland, School of Economics.
    12. Raushan Bokusheva & Lajos Baráth, 2024. "State‐contingent production technology formulation: Identifying states of nature using reduced‐form econometric models of crop yield," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 805-827, March.
    13. Bouali Guesmi & Ahmed Yangui & Ibtissem Taghouti & José Maria Gil, 2022. "Trade-Off between Land Use Pattern and Technical Efficiency Performance: Evidence from Arable Crop Farming in Tunisia," Land, MDPI, vol. 12(1), pages 1-13, December.
    14. Uaiene, Rafael N., 2006. "Introduction of New Agricultural Technologies and Marketing Strategies in Central Mozambique," Food Security Collaborative Working Papers 55861, Michigan State University, Department of Agricultural, Food, and Resource Economics.

  3. Rasmussen, Svend & Neilsen, A Hjortshoj, 1985. "The Impact of Quotas on the Optimal Adjustment of Milk Production at the Farm Level," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 12(4), pages 351-364.

    Cited by:

    1. Pierani, Pierpaolo & Rizzi, Pier Luigi, 2003. "Technology and efficiency in a panel of Italian dairy farms: an SGM restricted cost function approach," Agricultural Economics, Blackwell, vol. 29(2), pages 195-209, October.
    2. 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.
    3. 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.
    4. Levi, Loic & Chavas, Jean-Paul, 2018. "How Does Eliminating Quotas Affect Firm Investment? Evidence from Dairy Farms," 2018 Annual Meeting, August 5-7, Washington, D.C. 273831, Agricultural and Applied Economics Association.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-AGR: Agricultural Economics (2) 2011-10-15 2013-05-24
  2. NEP-BEC: Business Economics (1) 2013-05-24
  3. NEP-EFF: Efficiency and Productivity (1) 2011-10-15
  4. NEP-RMG: Risk Management (1) 2013-05-24

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