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

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  • 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
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Subal C. Kumbhakar & Emir Malikov, 2018. "Good modeling of bad outputs: editors’ introduction," Empirical Economics, Springer, vol. 54(1), pages 1-6, February.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Lehtonen, Markku, 2004. "The environmental-social interface of sustainable development: capabilities, social capital, institutions," Ecological Economics, Elsevier, vol. 49(2), pages 199-214, June.
    43. 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.
    44. 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.
    45. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521622448, September.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    54. 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.
    55. 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).
    56. 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.
    57. 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.
    58. 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.
    59. 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.
    60. 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.
    61. 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.
    62. 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.
    63. 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.
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