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Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data

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  • Alexander Gocht
  • Kelvin Balcombe

Abstract

This article explores how data envelopment analysis (DEA), along with a smoothed bootstrap method, can be used in applied analysis to obtain more reliable efficiency rankings for farms. The main focus is the smoothed homogeneous bootstrap procedure introduced by Simar and Wilson (1998) to implement statistical inference for the original efficiency point estimates. Two main model specifications, constant and variable returns to scale, are investigated along with various choices regarding data aggregation. The coefficient of separation (CoS), a statistic that indicates the degree of statistical differentiation within the sample, is used to demonstrate the findings. The CoS suggests a substantive dependency of the results on the methodology and assumptions employed. Accordingly, some observations are made on how to conduct DEA in order to get more reliable efficiency rankings, depending on the purpose for which they are to be used. In addition, attention is drawn to the ability of the SLICE MODEL, implemented in GAMS, to enable researchers to overcome the computational burdens of conducting DEA (with bootstrapping).

Suggested Citation

  • 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.
    • Handle: RePEc:bla:agecon:v:35:y:2006:i:2:p:223-229
    DOI: 10.1111/j.1574-0862.2006.00155.x
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. 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.
    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. Stefan Bojnec & Laure Latruffe, 2007. "Productivity change in Slovenian agriculture during the transition: a comparison of production branches," Post-Print hal-02283465, HAL.
    14. Mamardashvili, Phatima & Bokusheva, Raushan & Schmid, Dierk, 2014. "Heterogeneous Farm Output and Technical Efficiency Estimates," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 63(1).
    15. von Hobe, Cord-Friedrich & Michels, Marius & Musshoff, Oliver, 2021. "Technical efficiency and productivity change in German large-scale arable farming," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 70(01), January.
    16. Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

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