气候变化领域集成服务门户(CCPortal): Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions

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DOI	10.1016/j.enpol.2020.111299
	Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions
	Chen Z.; Zhang X.; Ni G.
发表日期	2020
ISSN	0301-4215
卷号	139
英文摘要	Economic cycles in the form of capacity utilization might greatly affect productivity. In order to explore how does carbon dioxide emissions reduction influence capacity utilization, this paper proposes a novel method to decompose the total capacity utilization (TCU) rate under carbon dioxide emissions reduction constraints using data envelopment analysis. The TCU rate is decomposed into an equipment utilization rate (EU), low-carbon technology efficiency (CTE), and policy oriented capacity utilization rate (PCU), and four policy orientations are then simulated to investigate the performance of TCU and its components. Three main conclusions are drawn: (1) the TCU rate was basically maintained between 60% and 70%, indicating a serious overcapacity in China. (2) most regions with a higher TCU rate are the well-developed southeast coastal regions, those with lower TCU rates being mainly the central and western regions; (3) the mandatory emission reduction mode is one of the main causes of overcapacity, where the southeastern coastal areas in particular suffer the most severe capacity loss. In comparison, a win-win development mode is the most cost-effective for China, with a relatively small capacity loss. These conclusions could assist policy designers in improving capacity utilization through effective low-carbon policies. © 2020
英文关键词	Capacity utilization; Data envelopment analysis(DEA); Directional distance function(DDF); Low-carbon policy
语种	英语
scopus关键词	Carbon dioxide; Coastal zones; Cost effectiveness; Data envelopment analysis; Emission control; Global warming; Capacity utilization; Capacity utilization rate; Carbon dioxide emissions; Directional distance function; Emission reduction; Equipment utilization; Low-carbon policies; Low-carbon technologies; Data reduction; carbon dioxide; carbon emission; data envelopment analysis; emission control; pollution policy; China
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/124824
作者单位	School of Economics, Beijing Technology and Business University, Beijing, 100048, China; Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan University of Economics and Law, Zhengzhou, 450046, China; Department of Public Policy, City University of Hong Kong, Tat Chee Avenue, Hong Kong; Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China
推荐引用方式 GB/T 7714	Chen Z.,Zhang X.,Ni G.. Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions[J],2020,139.
APA	Chen Z.,Zhang X.,&Ni G..(2020).Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions.Energy policy,139.
MLA	Chen Z.,et al."Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions".Energy policy 139(2020).