G20 countries’ progress on the 7th SDG under circular economy DEA model

IF 4.9 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Science & Policy Pub Date : 2024-08-14 DOI:10.1016/j.envsci.2024.103839
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Abstract

The purpose of this paper was to analyze the performance of the G20 nations in terms of efficiency and productivity concerning achieving the seventh Sustainable Development Goal (SDG 7) of providing affordable and clean energy between 2010 and 2019 under a circular economy framework. The diagnostic tools to measure included the output-oriented Data Envelopment Analysis (DEA, SBM) to determine efficiency and the Malmquist Productivity Index (MPI) to measure productivity. In the DEA model, renewable energy is the primary energy source as inputs and outputs as total Greenhouse Gases (GHG) emissions, electricity consumption, and renewable energy consumption. The results indicated that the efficiency and productivity of developed and emerging countries towards the 7th SDG targets were heterogeneous throughout the analysis. The results showed that among the G20 countries that ranked as efficient were emerging countries (South Africa, Brazil, India, and China). Developed countries have more to gain in efficiency by designing strategies with sustainable development and environmental policies consistent with CE actions than emerging countries. In addition, since productivity gains increased more due to efficiency changes than technology gains, as indicated by the MPI analysis, it seems reasonable to infer that strengthening research and development of resource-efficient technologies could help to reach the 7th SDG faster by increasing productivity through adopting new technologies. In the short run, all countries could benefit from a multilateral effort to reduce climate change and GHG emissions if developed countries provided technological support to emerging countries and the latter offered carbon credits to the former in exchange for measures to mitigate the emissions resulting from their rapid economic growth driven by capital investment.

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循环经济 DEA 模型下 G20 国家在可持续发展目标 7 方面的进展情况
本文旨在分析二十国集团(G20)国家在实现第七个可持续发展目标(SDG 7)(即在循环经济框架下,在 2010 年至 2019 年期间提供负担得起的清洁能源)方面的效率和生产力表现。衡量的诊断工具包括以产出为导向的数据包络分析(DEA,SBM)来确定效率,以及马尔奎斯特生产力指数(MPI)来衡量生产力。在数据包络分析模型中,可再生能源是主要能源来源,作为输入,输出为温室气体(GHG)排放总量、电力消耗量和可再生能源消耗量。结果表明,在整个分析过程中,发达国家和新兴国家实现第七个可持续发展目标的效率和生产率存在差异。结果显示,在 G20 国家中,效率排名靠前的是新兴国家(南非、巴西、印度和中国)。与新兴国家相比,发达国家通过制定与行政首长协调会行动相一致的可持续发展和环境政策战略,可以获得更高的效率。此外,由于生产率的提高更多是由于效率的变化而非技术的提高,如 MPI 分析所示,因此似乎可以合理地推断,加强资源节约型技术的研究和开发有助于通过采用新技术提高生产率,从而更快地实现第七个可持续发展目标。在短期内,如果发达国家向新兴国家提供技术支持,而后者向前者提供碳信用额度,以换取采取措施减少因资本投资驱动的快速经济增长而产生的排放,那么所有国家都能从减少气候变化和温室气体排放的多边努力中受益。
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来源期刊
Environmental Science & Policy
Environmental Science & Policy 环境科学-环境科学
CiteScore
10.90
自引率
8.30%
发文量
332
审稿时长
68 days
期刊介绍: Environmental Science & Policy promotes communication among government, business and industry, academia, and non-governmental organisations who are instrumental in the solution of environmental problems. It also seeks to advance interdisciplinary research of policy relevance on environmental issues such as climate change, biodiversity, environmental pollution and wastes, renewable and non-renewable natural resources, sustainability, and the interactions among these issues. The journal emphasises the linkages between these environmental issues and social and economic issues such as production, transport, consumption, growth, demographic changes, well-being, and health. However, the subject coverage will not be restricted to these issues and the introduction of new dimensions will be encouraged.
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