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Author:

Zhang, K. (Zhang, K..) | Cao, Y. (Cao, Y..) | Liu, Z. (Liu, Z..) | Zhou, Q. (Zhou, Q..) | Qu, S. (Qu, S..) | Wei, Y.-M. (Wei, Y.-M..)

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EI Scopus SCIE

Abstract:

Ensuring equitable allocation of carbon emission responsibilities at the city level is crucial for effectively mitigating climate change. However, traditional allocation methods like production-based accounting (PBA) and consumption-based accounting (CBA) encounter double-counting problems at this scale. This study for the first time addressed the ignored externality of carbon emissions among bilateral trading partners at city scale, achieving equitable carbon emission responsibility reallocations using the economic welfare gain-based (EWG) method. Examining 313 cities in China using a multi-regional input-output model, the highest carbon emission responsibilities are identified in Baotou at 400.7 Mt., followed by Yunnan (189.9 Mt) and Dalian (166.7 Mt). In this case, the EWG method reallocates producer and consumer responsibilities in bilateral trades. Among the 313 cities, emission responsibilities from 198 are situated between PBA and CBA, avoiding one-sided assignment of emissions based solely on either principle. A comparative analysis of allocation methods in China further indicates a predominance of production responsibility, mirroring a similar trend between EWG and PBA; a significant portion of producer responsibilities are identified within EWG. The results of this work may offer a fairer and economically sound basis for allocating emission responsibilities among cities, thereby facilitating more effective emission reduction strategies. © 2024 Elsevier Ltd

Keyword:

Emissions accounting Environmental externality Economic welfare Bilateral trade Multiregional input-output modeling

Author Community:

  • [ 1 ] [Zhang K.]College of Economics and Management, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Zhang K.]Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China
  • [ 3 ] [Cao Y.]School of Management, Beijing Institute of Technology, Beijing, 100081, China
  • [ 4 ] [Cao Y.]Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China
  • [ 5 ] [Liu Z.]School of Management, Beijing Institute of Technology, Beijing, 100081, China
  • [ 6 ] [Liu Z.]Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China
  • [ 7 ] [Zhou Q.]School of Management, Beijing Institute of Technology, Beijing, 100081, China
  • [ 8 ] [Zhou Q.]Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China
  • [ 9 ] [Qu S.]School of Management, Beijing Institute of Technology, Beijing, 100081, China
  • [ 10 ] [Qu S.]Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China
  • [ 11 ] [Wei Y.-M.]School of Management, Beijing Institute of Technology, Beijing, 100081, China
  • [ 12 ] [Wei Y.-M.]Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China

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Source :

Applied Energy

ISSN: 0306-2619

Year: 2024

Volume: 376

1 1 . 2 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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