globalchange  > 气候变化与战略
DOI: 10.1016/j.enpol.2020.111299
论文题名:
Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions
作者: Chen Z.; Zhang X.; Ni G.
刊名: Energy Policy
ISSN: 03014215
出版年: 2020
卷: 139
语种: 英语
中文关键词: Capacity utilization ; Data envelopment analysis(DEA) ; Directional distance function(DDF) ; Low-carbon policy
英文关键词: 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
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
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/167078
Appears in Collections:气候变化与战略

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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

Recommended Citation:
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]. Energy Policy,2020-01-01,139
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