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探讨可再生能源利用中的经济和环境效率:以经济合作与发展组织国家为例。

Exploring economic and environmental efficiency in renewable energy utilization: a case study in the Organization for Economic Cooperation and Development countries.

机构信息

Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung, 807618, Taiwan.

Department of Logistics and Supply Chain Management, Hong Bang International University, Ho Chi Minh, 72320, Vietnam.

出版信息

Environ Sci Pollut Res Int. 2023 Jun;30(28):72949-72965. doi: 10.1007/s11356-023-27408-0. Epub 2023 May 15.

DOI:10.1007/s11356-023-27408-0
PMID:37184804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10184630/
Abstract

The share of renewable energy has grown significantly in global energy supply, yet the evaluation of renewable energy utilization has remained limited. Hence, this research explored economic and environmental efficiency in renewable energy utilization in 20 OECD (The Organization for Economic Cooperation and Development) countries from 2015 to 2020. The study approached the data envelopment analysis-slack-based measure (DEA-SBM) to evaluate economic efficiency, and the DEA undesirable output to measure environmental efficiency. Four inputs as labor force, gross capital formation, total renewable energy capacity, and share of renewable energy were compared to two desirable outputs as the gross domestic product (GDP), and total energy production in the economic efficiency model. In the environmental efficiency model, the same inputs were evaluated with GDP as the desirable output and CO emissions as the undesirable output. The DEA-SBM revealed that Australia, Belgium, Norway, the UK, and the USA were efficient in economic evaluation, whereas DEA undesirable output indicated that Belgium, France, Sweden, the UK, and the USA were efficient in environmental evaluation. The governments are suggested to adjust the resources management since the number of efficient units decreased in the economic assessment while fluctuating in the environmental assessment.

摘要

可再生能源在全球能源供应中的份额显著增长,但对可再生能源利用的评估仍然有限。因此,本研究探讨了 2015 年至 2020 年 20 个经合组织(经济合作与发展组织)国家可再生能源利用的经济和环境效率。该研究采用数据包络分析-松弛测度(DEA-SBM)来评估经济效率,并采用 DEA 非期望产出来衡量环境效率。四个投入变量,即劳动力、总资本形成、总可再生能源容量和可再生能源份额,与两个期望产出变量,即国内生产总值(GDP)和总能源产量,进行了经济效率模型的比较。在环境效率模型中,同样的投入变量以 GDP 为期望产出,以 CO2 排放为非期望产出进行了评估。DEA-SBM 结果表明,澳大利亚、比利时、挪威、英国和美国在经济评估方面具有效率,而 DEA 非期望产出则表明,比利时、法国、瑞典、英国和美国在环境评估方面具有效率。建议政府调整资源管理,因为在经济评估中,有效单位的数量减少了,而在环境评估中则波动不定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/f1c85d61d256/11356_2023_27408_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/c960bfe34b58/11356_2023_27408_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/5dd93932c5a0/11356_2023_27408_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/6ea4ad6cade3/11356_2023_27408_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/bc8a8bf077b3/11356_2023_27408_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/daa1c4880bc1/11356_2023_27408_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/f1c85d61d256/11356_2023_27408_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/c960bfe34b58/11356_2023_27408_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/5dd93932c5a0/11356_2023_27408_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/6ea4ad6cade3/11356_2023_27408_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/bc8a8bf077b3/11356_2023_27408_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/daa1c4880bc1/11356_2023_27408_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0127/10184630/f1c85d61d256/11356_2023_27408_Fig6_HTML.jpg

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