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RETRACTED ARTICLE: Assessing carbon emission and energy efficiency in Yangtze River economic belt cities, China

Author

Listed:
  • Keyao Yu

    (Chengdu University of Technology)

  • Zhigang Li

    (Chengdu University of Technology
    Sichuan Provincial Key Research Base of Humanities and Social Sciences)

Abstract

CO2 emissions will intensify the greenhouse effect and bring a series of problems. This study analyzes 78 cities in the Yangtze River Economic Belt (YREB) from 2005 to 2020. Firstly, the SBM-DEA model is used to measure the carbon emission efficiency (CEE). Secondly, the spatial aggregation and evolution characteristics of CEE are analyzed using the Moran’s I index. Finally, the extended STIRPAT model is combined with the spatial Durbin model (SDM) to explore driving factors. The study found: (1) CEE of cities in YREB enhanced from 0.413 to 0.615; (2) CEE has a positive spatial autocorrelation, and the aggregation effect is gradually enhanced; and (3) factors like per capita GDP, environmental regulation, industrial transformation and other factors have a remarkable influence on CEE. There is spatial heterogeneity in the upstream, midstream, and downstream. This study has important significance for the green, low-carbon development of the YREB in future.

Suggested Citation

  • Keyao Yu & Zhigang Li, 2024. "RETRACTED ARTICLE: Assessing carbon emission and energy efficiency in Yangtze River economic belt cities, China," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-31, February.
    • Handle: RePEc:kap:ecopln:v:57:y:2024:i:1:d:10.1007_s10644-024-09611-2
    DOI: 10.1007/s10644-024-09611-2
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    References listed on IDEAS

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    1. Chai, Jian & Tian, Lingyue & Jia, Ruining, 2023. "New energy demonstration city, spatial spillover and carbon emission efficiency: Evidence from China's quasi-natural experiment," Energy Policy, Elsevier, vol. 173(C).
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Carbon emission efficiency; Spatial difference; STIRPAT model; Dynamic Durbin model; Driving factors; Spatial effect;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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