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基于数据包络分析的欧洲基金对环境指标的影响研究

A Data Envelopment Analysis of the Impact of European Funds on Environmental Indicators.

机构信息

Institute of Scientific Research and Graduate School, Universidad de Lima, Av. Javier Prado Este, 4600, Santiago de Surco, Lima 15023, Peru.

Department of General Economics, University of Cadiz, Avenue Enrique Villegas Velez, 2, 11002 Cádiz, Spain.

出版信息

Int J Environ Res Public Health. 2021 Mar 10;18(6):2800. doi: 10.3390/ijerph18062800.

Abstract

The European Union (EU) has launched two regional investment programs of European Funds (FE) in the last decade. One covers the period of 2007 to 2013, and the second from 2014 to 2020. Among the goals contained in FE regulations is that of achieving sustainable growth through the conversion of fossil energy production systems to renewable energy. This research has had a goal to determine whether the countries of the Eurozone maintain homogeneous levels of efficiency in the use of these resources to improve the levels of environmental quality related to the use of this type of energy. The adopted research method for efficiency analyses was Data Envelopment Analysis (DEA). Findings revealed that the efficiency in the use of renewable energies is very uneven among the analyzed countries and that these differences are maintained throughout the analyzed period. These results suggest that the criteria for the distribution of the funds should be modified. The current distribution is mainly based on the per capita income of the countries and/or regions. In this way, compliance with the European Green Pact approved in September 2020 would be guaranteed.

摘要

欧盟(EU)在过去十年中启动了两个欧洲基金(FE)的区域投资计划。一个涵盖了 2007 年至 2013 年的时期,另一个从 2014 年到 2020 年。FE 法规中包含的目标之一是通过将化石能源生产系统转换为可再生能源来实现可持续增长。本研究旨在确定欧元区国家在使用这些资源以提高与使用此类能源相关的环境质量水平方面是否保持相同的效率水平。采用的效率分析研究方法是数据包络分析(DEA)。研究结果表明,分析国家之间可再生能源使用效率非常不均衡,并且这种差异在整个分析期间都保持不变。这些结果表明,应修改资金分配标准。目前的分配主要基于国家和/或地区的人均收入。通过这种方式,可以保证遵守 2020 年 9 月批准的欧洲绿色协议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c03f/7999085/4e6e1bb8f86a/ijerph-18-02800-g001.jpg

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