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DEA efficiency in agriculture: Measurement unit issues

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  • Sokol, Ondřej
  • Frýd, Lukáš

Abstract

The selection of inputs and outputs in DEA models represents a vibrant methodological topic. At the same time; however, the problem of the impact of different measurement units of selected inputs is understated in empirical literature. Using the example of Czech farms, we show that the DEA method does not provide consistent score estimates, neither a stable ranking for different popular measurements of labour and capital factors of production. For this reason, studies based on DEA efficiency results for differently measured inputs should be compared only with great caution.

Suggested Citation

  • Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    • Handle: RePEc:eee:soceps:v:86:y:2023:i:c:s0038012122003044
    DOI: 10.1016/j.seps.2022.101497
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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Kalirajan, K P & Shand, R T, 1999. "Frontier Production Functions and Technical Efficiency Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 13(2), pages 149-172, April.
    3. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    4. 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.
    5. Helfand, Steven M. & Levine, Edward S., 2004. "Farm size and the determinants of productive efficiency in the Brazilian Center-West," Agricultural Economics, Blackwell, vol. 31(2-3), pages 241-249, December.
    6. Léopold Simar & Valentin Zelenyuk, 2018. "Central Limit Theorems for Aggregate Efficiency," Operations Research, INFORMS, vol. 66(1), pages 137-149, January.
    7. Amores, Antonio F. & Contreras, Ignacio, 2009. "New approach for the assignment of new European agricultural subsidies using scores from data envelopment analysis: Application to olive-growing farms in Andalusia (Spain)," European Journal of Operational Research, Elsevier, vol. 193(3), pages 718-729, March.
    8. Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023. "Further improvements of finite sample approximation of central limit theorems for envelopment estimators," Journal of Productivity Analysis, Springer, vol. 59(2), pages 189-194, April.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Jesús T. Pastor & JosÉ L. Ruiz & Inmaculada Sirvent, 2002. "A Statistical Test for Nested Radial Dea Models," Operations Research, INFORMS, vol. 50(4), pages 728-735, August.
    11. Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2015. "When Bias Kills The Variance: Central Limit Theorems For Dea And Fdh Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 31(2), pages 394-422, April.
    12. 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.
    13. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    14. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June.
    15. Sophia Davidova & Laure Latruffe, 2007. "Relationships between Technical Efficiency and Financial Management for Czech Republic Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(2), pages 269-288, June.
    16. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    17. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "Input-Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 579-599, June.
    18. Erik Mathijs & Johan F. M. Swinnen, 2001. "Production Organization And Efficiency During Transition: An Empirical Analysis Of East German Agriculture," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 100-107, February.
    19. Werner Kleinhanß & Carmen Murillo & Carlos San Juan & Stefan Sperlich, 2007. "Efficiency, subsidies, and environmental adaptation of animal farming under CAP," Agricultural Economics, International Association of Agricultural Economists, vol. 36(1), pages 49-65, January.
    20. Jean Joseph Minviel & Laure Latruffe, 2017. "Effect of public subsidies on farm technical efficiency: a meta-analysis of empirical results," Applied Economics, Taylor & Francis Journals, vol. 49(2), pages 213-226, January.
    21. 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.
    22. 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.
    23. Skevas, Theodoros & Lansink, Alfons Oude & Stefanou, Spiro E., 2012. "Measuring technical efficiency in the presence of pesticide spillovers and production uncertainty: The case of Dutch arable farms," European Journal of Operational Research, Elsevier, vol. 223(2), pages 550-559.
    24. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    25. Khem R. Sharma & PingSun Leung & Halina M. Zaleski, 1999. "Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches," Agricultural Economics, International Association of Agricultural Economists, vol. 20(1), pages 23-35, January.
    26. Peter Smith, 1997. "Model misspecification in Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 73(0), pages 233-252, October.
    27. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    28. Sharma, Khem R. & Leung, PingSun & Zaleski, Halina M., 1999. "Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches," Agricultural Economics, Blackwell, vol. 20(1), pages 23-35, January.
    29. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
    30. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    31. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2010. "Testing whether two-stage estimation is meaningful in non-parametric models of production," LIDAM Discussion Papers ISBA 2010031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    32. Dios-Palomares, Rafaela & Martínez-Paz, José M., 2011. "Technical, quality and environmental efficiency of the olive oil industry," Food Policy, Elsevier, vol. 36(4), pages 526-534, August.
    33. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    34. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    35. 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.
    36. Johan Swinnen & Liesbet Vranken, 2010. "Reforms and agricultural productivity in Central and Eastern Europe and the Former Soviet Republics: 1989–2005," Journal of Productivity Analysis, Springer, vol. 33(3), pages 241-258, June.
    37. K. P. Kalirajan & R. T. Shand, 1999. "Frontier Production Functions and Technical Efficiency Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 13(2), pages 149-172, April.
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