Efficiency evaluation of sustainable development in BRICS and G7 countries: a Data Envelopment Analysis approach

Flávia de Castro Camioto, Alícia Cristina Pulita
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引用次数: 1

Abstract

Abstract In order to measure the impact of the economic growth over the years, the sustainable development concept works to balance three pillars of sustainability - economic, social and environmental. This paper has the objective to compare emerging countries (BRICS) with the most developed countries (G7) by analysing sustainable development. Data Envelopment Analysis (DEA) was used, thorugh the variant SBM (Slacks Based Measured) model. The inputs were CO2 emission, percentage of unemployed and energy utilization. GDP and life expectancy at birth were used as outputs. The main result was a global average efficency ranking, having the emerging countries in top positions (India, China and Brazil, respectively). In addition, emerging countries have always stood out in the average of the slacks of each analyzed variable. These results are important in terms of being useful for public policies related to sustainable development, especially: (1) to contribute to the discussions related to evaluating the countries, helping to identify those with the best practices with regard to environmental, social and economic aspects in each group; and (2) to guide policy decisions regarding government incentives to promote the development of efficient countries in terms of economic growth and welfare social without harming the environment.
金砖国家和七国集团国家可持续发展效率评估:数据包络分析方法
为了衡量多年来经济增长的影响,可持续发展概念致力于平衡可持续性的三大支柱——经济、社会和环境。本文的目的是通过分析可持续发展来比较新兴国家(金砖国家)和最发达国家(G7)。采用数据包络分析(DEA),通过SBM (Slacks Based Measured)模型进行分析。投入是二氧化碳排放量、失业百分比和能源利用。国内生产总值和出生时预期寿命作为产出。主要结果是全球平均效率排名,新兴国家位居前列(分别是印度、中国和巴西)。此外,新兴国家在各分析变量的平均值中一直表现突出。这些结果对于制定与可持续发展有关的公共政策非常重要,特别是:(1)促进与评价国家有关的讨论,帮助确定每个国家在环境、社会和经济方面的最佳做法;(2)指导有关政府激励的政策决策,以促进高效国家在经济增长和社会福利方面的发展,而不损害环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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