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一种用于评估欧盟国家技术生态效率指标的两阶段数据包络分析模型。

A Two-Stage DEA Model to Evaluate the Technical Eco-Efficiency Indicator in the EU Countries.

作者信息

Moutinho Victor, Madaleno Mara

机构信息

Management and Economics Department and NECE-UBI, University of Beira Interior, Rua Marquês d'Ávila e Bolama, 6201-001 Covilhã, Portugal.

GOVCOPP-Research Unit in Governance, Competitiveness and Public Policy, Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, 3810-193 Aveiro, Portugal.

出版信息

Int J Environ Res Public Health. 2021 Mar 16;18(6):3038. doi: 10.3390/ijerph18063038.

Abstract

This paper evaluates the evolution of eco-efficiency for the 27 European Union (EU) countries over the period 2008-2018, provided the traditional high concerns of the EU concerning the economic growth-environmental performance relationship. The EU has triggered several initiatives and regulations regarding environmental protection over the years, but as well the Sustainable Development Goals demand it. Under this setting, we conduct a two-stage analysis, which computes eco-efficiency scores in the first stage for each of the pairs EU 27-year, through the nonparametric method data envelopment analysis (DEA), considering the ratio GDP per capita and greenhouse gas emissions (GHG). In the second stage, scores are used as a dependent variable in the proposed fractional regression model (FRM), whose determinants considered were eight pollutants (three greenhouse gases and five atmospheric pollutants). CO/area and NO/area effects are negative and significant, improving the eco-efficiency of the EU 27 countries. When the efficient European countries are excluded from the estimations, the results evidence that CO/area and CH/area decrease the DEA score. The country with the lowest GHG emissions and pollutant gases was Ireland, being the country within the considered period that mostly reduced emissions, particularly SOx and PM10, increasing its score.

摘要

本文评估了2008 - 2018年期间27个欧盟国家的生态效率演变情况,这是基于欧盟长期以来对经济增长与环境绩效关系的高度关注。多年来,欧盟发起了多项环境保护倡议和法规,同时可持续发展目标也有相关要求。在此背景下,我们进行了两阶段分析,第一阶段通过非参数方法数据包络分析(DEA)计算每个欧盟国家年度组合的生态效率得分,考虑人均国内生产总值与温室气体排放(GHG)的比率。在第二阶段,得分被用作所提出的分数回归模型(FRM)中的因变量,该模型考虑的决定因素是八种污染物(三种温室气体和五种大气污染物)。CO/面积和NO/面积的影响为负且显著,提高了欧盟27国的生态效率。当估计中排除高效的欧洲国家时,结果表明CO/面积和CH/面积会降低DEA得分。温室气体排放和污染气体最低的国家是爱尔兰,它是在所考虑期间内减排最多的国家,特别是二氧化硫和可吸入颗粒物(PM10),其得分有所提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8a2/8001525/7566161bb313/ijerph-18-03038-g001.jpg

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