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Author:

Tao, M. (Tao, M..) | Failler, P. (Failler, P..) | Goh, L.T. (Goh, L.T..) | Lau, W.Y. (Lau, W.Y..) | Dong, H. (Dong, H..) | Xie, L. (Xie, L..)

Indexed by:

Scopus SCIE

Abstract:

The establishment of a carbon trading market is crucial for China to fulfil its carbon emission commitments through a market mechanism. As a market-based environmental regulation instrument, Emission Trading Scheme (ETS) has been attracted increasing attention worldwide, while the effect of ETS on low-carbon economy efficiency (LEE) has not been fully investigated, thus inspiring us to fulfil this research gap. Using the panel data of China’s 283 selected prefecture-level cities during 2006–2017, we adopted the difference-in-differences (DID) model, propensity-score-matched DID (PSM-DID) model, and the spatial DID model to model the direct and indirect effects of China’s ETS on LEE at national, regional, and local (resource-based cities with different development stages) levels. The robust results yield that ETS directly and significantly improved China’s LEE at the national level. Still, the LEE in ETS pilot region will increase by approximately 4.3% compared with untreated cities, while the spatial heterogeneity of this effect is captured at regional and local levels, which emphasises the necessity of a completed market construction and classified supervision. The results of this paper provide important insights for strengthening the policy design of a nationwide carbon market, and a reference point for other regions and countries, especially developing countries, in refining a carbon trading market. © 2022, The Author(s).

Keyword:

Emission trading system; Low-carbon economy efficiency; Quasi-natural experiment; Spatial heterogeneity; Spatial spillover effect

Author Community:

  • [ 1 ] [Tao, M.]Department of Economics and Applied Statistics, Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia
  • [ 2 ] [Failler, P.]Faculty of Business and Law, University of Portsmouth, Portsmouth, United Kingdom
  • [ 3 ] [Goh, L.T.]Department of Economics and Applied Statistics, Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia
  • [ 4 ] [Lau, W.Y.]Department of Economics and Applied Statistics, Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia
  • [ 5 ] [Dong, H.]Department of Economics and Applied Statistics, Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia
  • [ 6 ] [Xie, L.]Institute of Recycling Economy Department of Materials and Manufacturing, Beijing University of Technology, Beijing, China

Reprint Author's Address:

  • [Failler, P.]Faculty of Business and Law, United Kingdom

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Source :

Mitigation and Adaptation Strategies for Global Change

ISSN: 1381-2386

Year: 2022

Issue: 6

Volume: 27

4 . 0

JCR@2022

4 . 0 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:47

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 21

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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