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Author:

Tian, Zhiguang (Tian, Zhiguang.) | Mu, Xianzhong (Mu, Xianzhong.)

Indexed by:

EI Scopus SCIE

Abstract:

The Yellow River Basin (YRB) serves as a critical energy hub in China. Enhancing energy efficiency in cities across the YRB is pivotal for achieving high-quality development and meeting carbon peaking and neutrality targets. This paper proposes a multidimensional technology heterogeneity assessment framework to refine the classification of production technologies. It leverages this framework to develop a data envelopment analysis model for evaluating green total factor energy efficiency (GTFEE) in 78 cities within the YRB from 2006 to 2022. The key findings are as follows: (1) Grouping outcomes from the multidimensional heterogeneity framework significantly differ from existing literature. (2) GTFEE shows notable spatiotemporal variations within the YRB, with a substantial overall increase since 2011. However, cities in the central YRB exhibit lower GTFEE performance. (3) Energy inefficiency in groups 1, 2, and 3 is attributed to developmental inefficiency, management inefficiency, and practical inefficiency, respectively. (4) Evaluation of energy-saving potential reveals an average annual potential of around 8 million tce per city during 2006-2022. The study concludes with strategies for enhancing GTFEE based on dynamic GTFEE decomposition outcomes, supporting policy design for achieving dual-carbon goals through improved energy efficiency in the YRB region.

Keyword:

Technology heterogeneity Green total factor energy efficiency Yellow river basin Slack-based measure model Carbon peaking and carbon neutrality goals

Author Community:

  • [ 1 ] [Tian, Zhiguang]Beijing Univ Technol, Coll Mat Sci & Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Mu, Xianzhong]Beijing Univ Technol, Coll Mat Sci & Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Tian, Zhiguang]Beijing Univ Technol, Inst Recycling Econ, Beijing 100124, Peoples R China
  • [ 4 ] [Mu, Xianzhong]Beijing Univ Technol, Inst Recycling Econ, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Mu, Xianzhong]Beijing Univ Technol, Coll Mat Sci & Engn, Beijing 100124, Peoples R China;;

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Related Keywords:

Source :

ENERGY

ISSN: 0360-5442

Year: 2024

Volume: 306

9 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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