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Technical efficiency and impact of environmental regulations in farrow‐to‐finish swine production in Taiwan

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  • Chih‐Ching Yang
  • Ching‐Kai Hsiao
  • Ming‐Miin Yu

Abstract

This article demonstrates how technical efficiency and the impact of environmental regulations of Taiwanese farrow‐to‐finish swine production can be estimated in the presence of undesirable outputs. The issue of measuring technical efficiencies while considering undesirable outputs has been addressed by past studies. But the proper method of including undesirable outputs has always been a subject of debate. This article develops a data envelopment analysis (DEA)‐based model that includes undesirable outputs. The technologies of desirable output production and undesirable output control are considered simultaneously. This allows one to transform undesirable output into desirable output, whereby a traditional Shephard distance function can be used to measure technical efficiencies. An approach to measuring the impacts due to environmental regulations is then derived. Empirical results show that larger farms are more technically efficient than small‐sized farms, but no clear conclusions can be reached for the measures of regulatory impact among farms with different sizes. On average, the sample farms incurred an opportunity cost due to environmental regulations equivalent to 9.8% of market value. Opportunity costs rise with efficiency.

Suggested Citation

  • Chih‐Ching Yang & Ching‐Kai Hsiao & Ming‐Miin Yu, 2008. "Technical efficiency and impact of environmental regulations in farrow‐to‐finish swine production in Taiwan," Agricultural Economics, International Association of Agricultural Economists, vol. 39(1), pages 51-61, July.
  • Handle: RePEc:bla:agecon:v:39:y:2008:i:1:p:51-61
    DOI: 10.1111/j.1574-0862.2008.00314.x
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    Cited by:

    1. Laure Latruffe & K Hervé Dakpo & Yann Desjeux & Giffona Justinia Hanitravelo, 2017. "Effect of subsidies on technical efficiency excluding or including environmental outputs: An illustration with a sample of farms in the European Union," Working Papers SMART 17-11, INRAE UMR SMART.
    2. Hampf, Benjamin, 2011. "Separating environmental efficiency into production and abatement efficiency: A nonparametric model with application to U.S. power plants," Darmstadt Discussion Papers in Economics 204, Darmstadt University of Technology, Department of Law and Economics.
    3. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    4. 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.
    5. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.
    6. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    7. 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.
    8. Breitenbach, Marthinus C & Ngobeni, Victor & Aye, Goodness C, 2020. "Global Healthcare Resource Efficiency in the Management of COVID-19 Death and Infection Prevalence Rates," MPRA Paper 104814, University Library of Munich, Germany.
    9. Ngobeni, Victor & Breitenbach, Marthinus C, 2021. "Production and Scale Efficiency of South African Water Utilities: The Case of Water Boards," MPRA Paper 106242, University Library of Munich, Germany.
    10. Solène Larue & Laure Latruffe, 2009. "Agglomeration externalities and technical efficiency in French pig production," Working Papers SMART 09-10, INRAE UMR SMART.
    11. Bian, Yiwen & Yan, Shuai & Xu, Hao, 2014. "Efficiency evaluation for regional urban water use and wastewater decontamination systems in China: A DEA approach," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 15-23.
    12. Huang, Wei & Bruemmer, Bernhard & Huntsinger, Lynn, 2016. "Incorporating measures of grassland productivity into efficiency estimates for livestock grazing on the Qinghai-Tibetan Plateau in China," Ecological Economics, Elsevier, vol. 122(C), pages 1-11.
    13. S You & H Yan, 2011. "A new approach in modelling undesirable output in DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2146-2156, December.
    14. Benjamin Hampf, 2014. "Separating environmental efficiency into production and abatement efficiency: a nonparametric model with application to US power plants," Journal of Productivity Analysis, Springer, vol. 41(3), pages 457-473, June.
    15. K Hervé Dakpo & Philippe Jeanneaux & Laure Latruffe, 2014. "Inclusion of undesirable outputs in production technology modeling:The case of greenhouse gas emissions in French meat sheep farming," Working Papers SMART 14-08, INRAE UMR SMART.
    16. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    17. Cordero, José Manuel & Alonso-Morán, Edurne & Nuño-Solinis, Roberto & Orueta, Juan F. & Arce, Regina Sauto, 2015. "Efficiency assessment of primary care providers: A conditional nonparametric approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 235-244.
    18. Zhong, Shen & Li, Junwei & Chen, Xi & Wen, Hongmei, 2022. "A multi-hierarchy meta-frontier approach for measuring green total factor productivity: An application of pig breeding in China," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    19. Halkos, George & Petrou, Kleoniki Natalia, 2018. "A critical review of the main methods to treat undesirable outputs in DEA," MPRA Paper 90374, University Library of Munich, Germany.
    20. Latruffe, Laure & Desjeux, Yann & Fogarasi, Jozsef & Bakucs, Lajos Zoltan & Ferto, Imre, 2010. "Technical efficiency and environmental pressures of pig farms in Hungary," 120th Seminar, September 2-4, 2010, Chania, Crete 109385, European Association of Agricultural Economists.

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