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Author:

Liu, B. (Liu, B..) | Ding, C.J. (Ding, C.J..) | Hu, J. (Hu, J..) | Su, Y. (Su, Y..) | Qin, C. (Qin, C..)

Indexed by:

EI Scopus SCIE

Abstract:

This study aims to examine how carbon trading policies impact total factor carbon productivity and subsequently provide recommendations for sustainable regional development. Through analyzing the trends in total factor carbon productivity and its mechanisms, this paper suggests that carbon trading policies can significantly enhance total factor carbon productivity. Additional mechanistic tests reveal that carbon trading can promote technological progress, factor accumulation, scale allocation and energy substitution effects; all contributing towards a low-carbon economic transition. These four effects serve to both promote economic growth and contribute towards carbon reduction targets. Therefore, to encourage low-carbon and high-quality development of the region's economy, policymakers must focus not only on constructing and expanding carbon markets, but also emphasize the synergies between these different effects. © 2023

Keyword:

Low-carbon Economic Transformation Total Factor Carbon Productivity Carbon Trading Energy Substitution Effects

Author Community:

  • [ 1 ] [Liu B.]School of Economics and Management, Institute of Eco-civilization Studies, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Ding C.J.]Faculty of Business and Economics, University of Malaya, Kuala Lumpur, 50603, Malaysia
  • [ 3 ] [Hu J.]School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, 550025, China
  • [ 4 ] [Su Y.]School of Economics and Management, Harbin Engineering University, Harbin, 150000, China
  • [ 5 ] [Qin C.]University of Newcastle Australia, Newcastle Business School, 2308, NSW, Australia

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Source :

Journal of Cleaner Production

ISSN: 0959-6526

Year: 2023

Volume: 420

1 1 . 1 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 72

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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