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Environmental monitoring and assessment
Jul 28, 2022;194 (9): 616.

Spatiotemporal dynamics and decoupling mechanism of economic growth and carbon emissions in an urban agglomeration of China.

Han Hu, Tiangui Lv, Xinmin Zhang, Shufei Fu, Can Geng, Zeying Li
Author Information
  1. Han Hu: School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
  2. Tiangui Lv: School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
  3. Xinmin Zhang: Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang, 330013, China. zhangxm1217@yahoo.com.
  4. Shufei Fu: School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
  5. Can Geng: School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
  6. Zeying Li: School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
PMID: 35900589 DOI: 10.1007/s10661-022-10195-5

Abstract

carbon emissions and economic growth are two contradictions in urban development, and their decoupling is related to the sustainable development of cities. This paper took urban agglomeration in the middle reaches of the Yangtze River (UAMRYR), China, as the study area. The Kaya model, the Tapio decoupling model, and the Logarithmic Mean Divisia Index (LMDI) model were adopted to analyze the spatiotemporal differentiation of carbon emissions, the decoupling of economic activities, and driving factors. The results indicate that (1) carbon emissions increased by 66% in the study period, but the growth momentum was curbed after 2015. Low level and medium level areas continue to decrease, and relatively high level area gradually become dominant. (2) Spatially, carbon emissions are in a pattern of middle-hot and east-cold. Jiangxi is in the sub-cold and coldspot area, while the hotspot area is driven by the transformation from Wuhan's single-core to Wuhan and Changsha's dual-core. (3) Since 2010, most cities have been in a good decoupling state, and weak decoupling cities have risen from 35.5% in the initial period to 87.1% in 2010-2011, but the decoupling situation of industrial cities with more high-energy-consuming industries still rebounded slightly. (4) The economic level and energy intensity effect had the most significant impact on the economic decoupling of carbon emissions, whose absolute contribution rates were greater than 35%. Urbanization and economic level both play a positive role in promoting carbon emissions, and the energy intensity plays a negative role in retarding carbon emissions. The population effect was mainly manifested in carbon increase from 2006 to 2011, and 45.2% of the cities from 2011 to 2017 turned into carbon suppression. Finally, we suggest that decoupling carbon emissions from economic growth requires developing green urbanization and a decarbonized economy, optimizing the structure of energy consumption and guiding rational population flow.

Keywords

Carbon emissions Decoupling Economic growth LMDI model UAMRYR

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Grants

  1. 71864016/National Natural Science Foundation of China

MeSH Term

Carbon
Carbon Dioxide
China
Economic Development
Environmental Monitoring
Urbanization

Chemicals

Carbon Dioxide
Carbon
Journal Article

Word Cloud

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