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Environmental performance evaluation: A state-level DEA analysis

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  • Avilés-Sacoto, Estefanía Caridad
  • Avilés-Sacoto, Sonia Valeria
  • Güemes-Castorena, David
  • Cook, Wade D.

Abstract

In recent years, the continuous development of every country's economic activities has generated undesirable impacts on the environment. Common problems are high water and energy consumption rates, jointly with harmful pollution levels. This situation has gained the research community's interest in exploring and analyzing the extent to which initiatives to reduce such environmental problems have succeeded. Therefore, it is relevant to have measures that encompass information on the results obtained by such initiatives. Using the data envelopment analysis (DEA) methodology, it is possible to measure the efficiency of an entity under evaluation, such as an industry, state, or country. DEA also allows one to compare the performance measures of entities operating in similar circumstances and identify which entities are performing best, given the inputs they use and the outputs they produce. This study evaluates different states in Mexico in terms of their environmental performance and provides a perspective on how environmental initiatives can contribute to protecting and preserving the environment. By addressing this problem, best-performers and practices are identified, and valuable insights are gained regarding how each state carries out such initiatives.

Suggested Citation

  • Avilés-Sacoto, Estefanía Caridad & Avilés-Sacoto, Sonia Valeria & Güemes-Castorena, David & Cook, Wade D., 2021. "Environmental performance evaluation: A state-level DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:soceps:v:78:y:2021:i:c:s0038012121000744
    DOI: 10.1016/j.seps.2021.101082
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    References listed on IDEAS

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    1. Avilés-Sacoto, Sonia Valeria & Cook, Wade D. & Güemes-Castorena, David & Zhu, Joe, 2020. "Modelling Efficiency in Regional Innovation Systems: A Two-Stage Data Envelopment Analysis Problem with Shared Outputs within Groups of Decision-Making Units," European Journal of Operational Research, Elsevier, vol. 287(2), pages 572-582.
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    8. Wen, Quan & Hong, Jingke & Liu, Guiwen & Xu, Pengpeng & Tang, Miaohan & Li, Zhongfu, 2020. "Regional efficiency disparities in China’s construction sector: A combination of multiregional input–output and data envelopment analyses," Applied Energy, Elsevier, vol. 257(C).
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    2. Omrani, Hashem & Emrouznejad, Ali & Shamsi, Meisam & Fahimi, Pegah, 2022. "Evaluation of insurance companies considering uncertainty: A multi-objective network data envelopment analysis model with negative data and undesirable outputs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).

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