IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v25y2023i8d10.1007_s10668-022-02414-3.html
   My bibliography  Save this article

Assessing the contribution of farmers’ working conditions to productive efficiency in the presence of uncertainty, a nonparametric approach

Author

Listed:
  • Amer Ait Sidhoum

    (Natural Resources Institute Finland (Luke), Business Economics)

Abstract

This article investigates the contribution of farmers’ working conditions to production efficiency under state-contingent production uncertainty. Directional distance function is used to estimate efficiency scores and input shadow prices for 180 Spanish crop farms in 2015. Results suggest that shadow prices vary considerably between the different states of nature, suggesting why incorporating the stochastic production specification is important. The present study provides evidence of the important contribution of working conditions to technical efficiency. Thus, improved working conditions have the potential to help farms to progress toward sustainable agriculture.

Suggested Citation

  • Amer Ait Sidhoum, 2023. "Assessing the contribution of farmers’ working conditions to productive efficiency in the presence of uncertainty, a nonparametric approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8601-8622, August.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:8:d:10.1007_s10668-022-02414-3
    DOI: 10.1007/s10668-022-02414-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02414-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-022-02414-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Robert G. Chambers & Atakelty Hailu & John Quiggin, 2011. "Event‐specific data envelopment models and efficiency analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(1), pages 90-106, January.
    2. Aimee Shreck & Christy Getz & Gail Feenstra, 2006. "Social sustainability, farm labor, and organic agriculture: Findings from an exploratory analysis," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 23(4), pages 439-449, December.
    3. Tajbakhsh, Alireza & Hassini, Elkafi, 2018. "Evaluating sustainability performance in fossil-fuel power plants using a two-stage data envelopment analysis," Energy Economics, Elsevier, vol. 74(C), pages 154-178.
    4. Vicente Lima Crisóstomo & Fátima de Souza Freire & Felipe Cortes de Vasconcellos, 2011. "Corporate social responsibility, firm value and financial performance in Brazil," Social Responsibility Journal, Emerald Group Publishing Limited, vol. 7(2), pages 295-309, June.
    5. Vicente Lima Crisóstomo & Fátima de Souza Freire & Felipe Cortes de Vasconcellos, 2011. "Corporate social responsibility, firm value and financial performance in Brazil," Social Responsibility Journal, Emerald Group Publishing, vol. 7(2), pages 295-309, July.
    6. Berre, David & Boussemart, Jean-Philippe & Leleu, Hervé & Tillard, Emmanuel, 2013. "Economic value of greenhouse gases and nitrogen surpluses: Society vs farmers’ valuation," European Journal of Operational Research, Elsevier, vol. 226(2), pages 325-331.
    7. Hoang, Viet-Ngu & Coelli, Tim, 2011. "Measurement of agricultural total factor productivity growth incorporating environmental factors: A nutrients balance approach," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 462-474.
    8. Leopold Simar & Valentin Zelenyuk, 2006. "On Testing Equality of Distributions of Technical Efficiency Scores," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
    9. Robert G. Chambers & Teresa Serra, 2018. "The social dimension of firm performance: a data envelopment approach," Empirical Economics, Springer, vol. 54(1), pages 189-206, February.
    10. Nollet, Joscha & Filis, George & Mitrokostas, Evangelos, 2016. "Corporate social responsibility and financial performance: A non-linear and disaggregated approach," Economic Modelling, Elsevier, vol. 52(PB), pages 400-407.
    11. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    12. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2019. "On selecting directions for directional distance functions in a non-parametric framework: a review," Annals of Operations Research, Springer, vol. 278(1), pages 43-76, July.
    13. Theodoros Skevas & Spiro E. Stefanou & Alfons Oude Lansink, 2013. "Do Farmers Internalise Environmental Spillovers of Pesticides in Production?," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 624-640, September.
    14. Céline Nauges & Christopher J. O'Donnell & John Quiggin, 2011. "Uncertainty and technical efficiency in Finnish agriculture: a state-contingent approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(4), pages 449-467, October.
    15. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    16. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    17. Puggioni, Daniela & Stefanou, Spiro E., 2019. "The value of being socially responsible: A primal-dual approach," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1090-1103.
    18. Ioannis Ioannou & George Serafeim, 2012. "What drives corporate social performance? The role of nation-level institutions," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 43(9), pages 834-864, December.
    19. Saeidi, Sayedeh Parastoo & Sofian, Saudah & Saeidi, Parvaneh & Saeidi, Sayyedeh Parisa & Saaeidi, Seyyed Alireza, 2015. "How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction," Journal of Business Research, Elsevier, vol. 68(2), pages 341-350.
    20. Sushama Murty & R. Robert Russell, 2018. "Modeling emission-generating technologies: reconciliation of axiomatic and by-production approaches," Empirical Economics, Springer, vol. 54(1), pages 7-30, February.
    21. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    22. Subal C. Kumbhakar & Emir Malikov, 2018. "Good modeling of bad outputs: editors’ introduction," Empirical Economics, Springer, vol. 54(1), pages 1-6, February.
    23. Jean-Paul Chavas, 2008. "A Cost Approach to Economic Analysis Under State-Contingent Production Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 435-466.
    24. Beatriz García-Cornejo & José A. Pérez-Méndez & David Roibás & Alan Wall, 2020. "Efficiency and Sustainability in Farm Diversification Initiatives in Northern Spain," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    25. Alfons Oude Lansink & Alain Carpentier, 2001. "Damage Control Productivity: An Input Damage Abatement Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 11-22, September.
    26. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    27. Amer Ait Sidhoum & Teresa Serra & Laure Latruffe, 2020. "Measuring sustainability efficiency at farm level: a data envelopment analysis approach [Economic and environmental efficiency of district heating plants]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(1), pages 200-225.
    28. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    29. 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.
    30. Forsund, Finn R., 2009. "Good Modelling of Bad Outputs: Pollution and Multiple-Output Production," International Review of Environmental and Resource Economics, now publishers, vol. 3(1), pages 1-38, August.
    31. Hallam, David & Machado, Fernando, 1996. "Efficiency Analysis with Panel Data: A Study of Portuguese Dairy Farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(1), pages 79-93.
    32. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235.
    33. 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.
    34. Tim Coelli & Ludwig Lauwers & Guido Huylenbroeck, 2007. "Environmental efficiency measurement and the materials balance condition," Journal of Productivity Analysis, Springer, vol. 28(1), pages 3-12, October.
    35. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    36. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    37. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
    38. Singbo, Alphonse G. & Lansink, Alfons Oude & Emvalomatis, Grigorios, 2015. "Estimating shadow prices and efficiency analysis of productive inputs and pesticide use of vegetable production," European Journal of Operational Research, Elsevier, vol. 245(1), pages 265-272.
    39. Christopher O’Donnell & Robert Chambers & John Quiggin, 2010. "Efficiency analysis in the presence of uncertainty," Journal of Productivity Analysis, Springer, vol. 33(1), pages 1-17, February.
    40. Juan Aparicio & Magdalena Kapelko & Juan F. Monge, 2020. "A Well-Defined Composite Indicator: An Application to Corporate Social Responsibility," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 299-323, July.
    41. Theodoros Skevas & Alfons Oude Lansink, 2014. "Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(1), pages 191-211, January.
    42. Jayson L. Lusk, 2003. "Effects of Cheap Talk on Consumer Willingness-to-Pay for Golden Rice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 840-856.
    43. Piyu Yue, 1992. "Data envelopment analysis and commercial bank performance: a primer with applications to Missouri banks," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 31-45.
    44. White, Leroy & Lee, Gregory John, 2009. "Operational research and sustainable development: Tackling the social dimension," European Journal of Operational Research, Elsevier, vol. 193(3), pages 683-692, March.
    45. Roberto Garcia-Castro & Miguel Ariño & Miguel Canela, 2010. "Does Social Performance Really Lead to Financial Performance? Accounting for Endogeneity," Journal of Business Ethics, Springer, vol. 92(1), pages 107-126, March.
    46. Theodoros Skevas & Teresa Serra, 2017. "Derivation of netput shadow prices under different levels of pest pressure," Journal of Productivity Analysis, Springer, vol. 48(1), pages 25-34, August.
    47. Theodoros Skevas & Teresa Serra, 2017. "Erratum to: Derivation of netput shadow prices under different levels of pest pressure," Journal of Productivity Analysis, Springer, vol. 48(1), pages 35-35, August.
    48. Johnson, Andrew L. & Kuosmanen, Timo, 2012. "One-stage and two-stage DEA estimation of the effects of contextual variables," European Journal of Operational Research, Elsevier, vol. 220(2), pages 559-570.
    49. Robert G. Chambers & John Quiggin, 1998. "Cost Functions and Duality for Stochastic Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 288-295.
    50. Thilak Mallawaarachchi & Céline Nauges & Orion Sanders & John Quiggin, 2017. "State-contingent analysis of farmers’ response to weather variability: irrigated dairy farming in the Murray Valley, Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(1), pages 36-55, January.
    51. Jing Li & Xiao-can Ma, 2015. "Econometric analysis of industrial water use efficiency in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(5), pages 1209-1226, October.
    52. Lehtonen, Markku, 2004. "The environmental-social interface of sustainable development: capabilities, social capital, institutions," Ecological Economics, Elsevier, vol. 49(2), pages 199-214, June.
    53. Theodoros Skevas & Ioannis Skevas & Victor E. Cabrera, 2021. "Examining the Relationship between Social Inefficiency and Financial Performance. Evidence from Wisconsin Dairy Farms," Sustainability, MDPI, vol. 13(7), pages 1-14, March.
    54. Vicente Lima Crisóstomo & Fátima de Souza Freire & Felipe Cortes de Vasconcellos, 2011. "Corporate social responsibility, firm value and financial performance in Brazil," Social Responsibility Journal, Emerald Group Publishing Limited, vol. 7(2), pages 295-309, June.
    55. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    56. Robert G. Chambers & Teresa Serra & Alfons Oude Lansink, 2014. "On the pricing of undesirable state-contingent outputs," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(3), pages 485-509.
    57. Fredrik Ødegaard & Pontus Roos, 2014. "Measuring the Contribution of Workers' Health and Psychosocial Work-Environment on Production Efficiency," Production and Operations Management, Production and Operations Management Society, vol. 23(12), pages 2191-2208, December.
    58. Thomas Dyllick & Kai Hockerts, 2002. "Beyond the business case for corporate sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 11(2), pages 130-141, March.
    59. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    60. Rodríguez-Soler, Rocío & Uribe-Toril, Juan & De Pablo Valenciano, Jaime, 2020. "Worldwide trends in the scientific production on rural depopulation, a bibliometric analysis using bibliometrix R-tool," Land Use Policy, Elsevier, vol. 97(C).
    61. Khalid Nadvi, 2008. "Global standards, global governance and the organization of global value chains," Journal of Economic Geography, Oxford University Press, vol. 8(3), pages 323-343, May.
    62. Feder, Gershon, 1985. "The relation between farm size and farm productivity : The role of family labor, supervision and credit constraints," Journal of Development Economics, Elsevier, vol. 18(2-3), pages 297-313, August.
    63. van Calker, K.J. & Berentsen, P.B.M. & de Boer, I.J.M. & Giesen, G.W.J. & Huirne, R.B.M., 2007. "Modelling worker physical health and societal sustainability at farm level: An application to conventional and organic dairy farming," Agricultural Systems, Elsevier, vol. 94(2), pages 205-219, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dakpo, K Hervé & Lansink, Alfons Oude, 2019. "Dynamic pollution-adjusted inefficiency under the by-production of bad outputs," European Journal of Operational Research, Elsevier, vol. 276(1), pages 202-211.
    2. Aparicio, Juan & Kapelko, Magdalena & Zofío, José L., 2020. "The measurement of environmental economic inefficiency with pollution-generating technologies," Resource and Energy Economics, Elsevier, vol. 62(C).
    3. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    4. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    5. Dakpo, Hervé K & Jeanneaux, Philippe & Latruffe, Laure, 2014. "Inclusion of undesirable outputs in production technology modeling: The case of greenhouse gas emissions in French meat sheep farming," Working Papers 207806, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    6. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    7. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2019. "Environmental efficiency measurement with heterogeneous input quality: A nonparametric analysis of U.S. power plants," Energy Economics, Elsevier, vol. 81(C), pages 610-625.
    8. Andreas Eder, 2022. "Environmental efficiency measurement when producers control pollutants under heterogeneous conditions: a generalization of the materials balance approach," Journal of Productivity Analysis, Springer, vol. 57(2), pages 157-176, April.
    9. Andreas Eder, 2021. "Environmental efficiency measurement when producers control pollutants under heterogeneous conditions: a generalization of the materials balance approach," Working Papers 752021, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    10. Amer Ait Sidhoum & Philipp Mennig & Johannes Sauer, 2023. "Do agri-environment measures help improve environmental and economic efficiency? Evidence from Bavarian dairy farmers," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(3), pages 918-953.
    11. repec:zbw:inwedp:752021 is not listed on IDEAS
    12. Ahmad, Shabbir & Steen, John & Ali, Saleem & Valenta, Rick, 2023. "Carbon-adjusted efficiency and technology gaps in gold mining," Resources Policy, Elsevier, vol. 81(C).
    13. Pham, Manh D. & Zelenyuk, Valentin, 2019. "Weak disposability in nonparametric production analysis: A new taxonomy of reference technology sets," European Journal of Operational Research, Elsevier, vol. 274(1), pages 186-198.
    14. Jean-Philippe Boussemart & Hervé Leleu & Zhiyang Shen & Vivian Valdmanis, 2020. "Performance analysis for three pillars of sustainability," Journal of Productivity Analysis, Springer, vol. 53(3), pages 305-320, June.
    15. Abad, Arnaud & Briec, Walter, 2019. "On the axiomatic of pollution-generating technologies: Non-parametric production analysis," European Journal of Operational Research, Elsevier, vol. 277(1), pages 377-390.
    16. Theodoros Skevas & Teresa Serra, 2017. "Derivation of netput shadow prices under different levels of pest pressure," Journal of Productivity Analysis, Springer, vol. 48(1), pages 25-34, August.
    17. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    18. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2017. "Assessing environmental performance in the European Union: Eco-innovation versus catching-up," Energy Policy, Elsevier, vol. 104(C), pages 240-252.
    19. Juan Aparicio & Magdalena Kapelko & Lidia Ortiz, 2021. "Modelling environmental inefficiency under a quota system," Operational Research, Springer, vol. 21(2), pages 1097-1124, June.
    20. Lee, Chia-Yen, 2018. "Mixed-strategy Nash equilibrium in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1013-1024.
    21. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:25:y:2023:i:8:d:10.1007_s10668-022-02414-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.