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Frontier models for evaluating environmental efficiency: an overview

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  • Alfons Oude Lansink
  • Alan Wall

Abstract

The measurement of environmental efficiency and the identification of its determinants are important in order to evaluate existing environmental policies and design new policies. Since the end of the 1980s, a large and growing literature has developed on the application of frontier techniques - particularly Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) - to measuring environmental efficiency. We provide a brief introduction to this literature, highlighting the main approaches used and draw attention to some recent developments which provide openings for future research.

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  • Alfons Oude Lansink & Alan Wall, 2014. "Frontier models for evaluating environmental efficiency: an overview," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 43-50.
    • Handle: RePEc:ove:journl:aid:10253
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/10253
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    2. Doole, Graeme J. & Kingwell, Ross, 2015. "Efficient economic and environmental management of pastoral systems: Theory and application," Agricultural Systems, Elsevier, vol. 133(C), pages 73-84.
    3. Zaman, Kazi Arif Uz, 2022. "Regional Cooperation for Improving Agriculture Production Efficiency: A Strategic Tool for Emission Reduction," ADBI Working Papers 1301, Asian Development Bank Institute.
    4. Soliman, Tarek & Djanibekov, Utkur, 2018. "Assessing dairy farming eco-efficiency in New Zealand: A two–stage data envelopment analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274374, Agricultural and Applied Economics Association.
    5. Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang, 2017. "Worldwide carbon shadow prices during 1990–2011," Energy Policy, Elsevier, vol. 109(C), pages 288-296.
    6. María E. Pérez-Pons & Marta Plaza-Hernández & Ricardo S. Alonso & Javier Parra-Domínguez & Javier Prieto, 2020. "Increasing Profitability and Monitoring Environmental Performance: A Case Study in the Agri-Food Industry through an Edge-IoT Platform," Sustainability, MDPI, vol. 13(1), pages 1-16, December.
    7. Jingrong Xu & Dechun Huang & Zhengqi He & Yun Zhu, 2020. "Research on the Structural Features and Influential Factors of the Spatial Network of China’s Regional Ecological Efficiency Spillover," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    8. Orea, Luis & Wall, Alan, 2015. "A parametric frontier model for measuring eco-efficiency," Efficiency Series Papers 2015/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    10. 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.
    11. Herrala, Risto & Goel, Rajeev K., 2016. "Sharing the emission reduction burden in an uneven world," Energy Policy, Elsevier, vol. 94(C), pages 29-39.
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    13. George Vlontzos & Spyros Niavis & Panos Pardalos, 2017. "Testing for Environmental Kuznets Curve in the EU Agricultural Sector through an Eco-(in)Efficiency Index," Energies, MDPI, vol. 10(12), pages 1-15, December.

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