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作者:

He, Weijun (He, Weijun.) | Yang, Yuantao (Yang, Yuantao.) | Gu, Wei (Gu, Wei.)

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EI Scopus SCIE

摘要:

Carbon emission allowance (CEA) has become a scarce resource against global climate change. Hence, the CEA allocation scheme is critical to improving its utilization efficiency and balancing regional development. However, most of the existing literature mainly focused on the formulation of allocation schemes but ignored the examination of CEA misallocation, which may damage productivity and regional development. This study intends to conduct a comparative analysis of Chinese provincial CEA allocation schemes by 2030 from a perspective of resource misallocation. For this purpose, 15 provincial CEA allocation schemes by 2030 based on the indicator method are developed first. Then a CEA misallocation index deriving from the extended Gini coefficient is proposed to examine the CEA misallocation of proposed schemes. Finally, an empirical analysis of China's provincial CEA allocation by 2030 is conducted. The results indicate that provincial CEA misallocation indeed occurs under the proposed allocation schemes with the CEA misallocation index ranging from 0.209 to 0.311, and the scheme based upon the efficiency principle has a relatively minimum misallocation index at 0.209. Furthermore, CEA misallocation is related to the carbon intensity reduction rate, and the scheme based on the efficiency principle could further achieve optimal CEA allocation when the carbon intensity reduction rate decreases. We suggest relevant decision-makers focus on the efficiency principle when developing a provincial CEA allocation scheme as it has strength in avoiding CEA misallocation.

关键词:

Gini coefficient China Carbon emission allowance Misallocation

作者机构:

  • [ 1 ] [He, Weijun]Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China
  • [ 2 ] [Gu, Wei]Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China
  • [ 3 ] [He, Weijun]Inst Low Carbon Operat Strategy Beijing Enterprise, Beijing 100083, Peoples R China
  • [ 4 ] [Yang, Yuantao]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China

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来源 :

JOURNAL OF CLEANER PRODUCTION

ISSN: 0959-6526

年份: 2022

卷: 361

1 1 . 1

JCR@2022

1 1 . 1 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:49

JCR分区:1

中科院分区:1

被引次数:

WoS核心集被引频次: 15

SCOPUS被引频次: 15

ESI高被引论文在榜: 0 展开所有

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