气候变化领域集成服务门户(CCPortal): Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia

CCPortal

DOI	10.1016/j.enpol.2022.112933
	Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia
	Lan J.; Khan S.U.; Sadiq M.; Chien F.; Baloch Z.A.
发表日期	2022
ISSN	0301-4215
卷号	165
英文摘要	The objective of the study is to develop a multidimensional energy poverty index (EPI). The current study examines the impacts of multidimensional energy poverty indicators using mathematical composite index and, econometric models for five Asian countries. Multidimensional energy poverty indicator is used to evaluate the overall consequences of these region's energy poverty. It is estimated that EPI of Nepal region is 0.02, Sri Lanka composite score (CS) is 0.03, and Bangladesh's CS is 0.011, which are the maximum affected nations. In contrast, India's CS is above 0.88 and Pakistan's CS is above 0.49 and are expected to be the minimum energy poor. Of the total energy production, 79% is based on traditional fuels, followed by 12% based on petroleum products. Results further highlight the availability of electricity, the time it earns to obtain electricity, access to clean energy, and cooking technology have substantial positive relationship with region's EPI. Private investment in energy sector is a consistent negative component in EPI. In other economies, poverty headcount ratio coefficients are notably positive. Implemented energy policies and their impact on access to energy in South Asian region, highlight possible challenges but also benefits of the association between energy poverty and access to energy. © 2022 Elsevier Ltd
英文关键词	Clean energy; Composite indicator; Electricity; Energy poverty; Five Asian regions; Multi-dimensional approach
语种	英语
scopus关键词	Economic analysis; Energy policy; 'current; Clean energy; Composite index; Composite indicators; Energy; Energy poverties; Five asian region; Multi dimensional; Multi-dimensional approach; Region energy; Investments; data envelopment analysis; electricity generation; electricity supply; energy efficiency; numerical model; power generation; Asia
来源期刊	Energy Policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256230
作者单位	College of International Cooperation, Xian International University, 18-Yu Dou Lu, Yanta District, Shaanxi Province, Xian, 710077, China; College of Public Administration, Nanjing Agricultural University, No. 1 Weigang, Nanjing, 210095, China; Taylor University Malaysia, Malaysia; School of Finance and Accounting, Fuzhou University of International Studies and Trade, China; Faculty of Business, City University of Macau, Macau, China; College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing, Jiangsu Province, China
推荐引用方式 GB/T 7714	Lan J.,Khan S.U.,Sadiq M.,et al. Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia[J],2022,165.
APA	Lan J.,Khan S.U.,Sadiq M.,Chien F.,&Baloch Z.A..(2022).Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia.Energy Policy,165.
MLA	Lan J.,et al."Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia".Energy Policy 165(2022).