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Analysis of the Decoupling between Urban Economic Development and Transportation Carbon Emissions in China: Empirical Evidence from 284 Cities

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  • Peng Zhao

    (School of Transportation Engineering, Chang’an University, Xi’an 710061, China)

  • Jiannan Zhao

    (School of Transportation Engineering, Chang’an University, Xi’an 710061, China)

  • Qi Yang

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Shuai Zhang

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Beisi Tian

    (School of Transportation Engineering, Chang’an University, Xi’an 710061, China)

Abstract

The proposal of China’s “double carbon target” means that China is trying to realize the decoupling between economic development and carbon emissions. Based on the dual perspectives of velocity decoupling and quantitative decoupling, this paper systematically analyzes the decoupling state between transportation carbon emissions and economic development in 284 Chinese cities from 2006 to 2020 by using the Tapio decoupling model and the environmental Kuznets curve model. The results show the following: (1) From the perspective of velocity decoupling, most China’s cities have initially realized the decoupling state of transportation carbon emissions and urban economic development, entering the stage of weak decoupling, but not yet into the stage of strong decoupling, which indicates the decoupling level still needs to be improved. In space, the regions with high decoupling levels show the spatial differentiation characteristics of more in the east and middle, and less in the west. (2) From the perspective of quantitative decoupling, the relationship between urban transportation carbon emissions and economic development presents an inverted U-shaped EKC curve in China, and all cities have basically not crossed the inflection point and not entered the absolute decoupling state, but are in the trend of evolving to the quantitative decoupling state. This conclusion also verifies the view that velocity decoupling is generally in the weak decoupling stage. (3) The quantitative decoupling analysis also shows that urban population density, urban road density and per capita private car ownership all can worsen transportation carbon emissions, while public transport efficiency is the key driving forces for industrial carbon emission reduction. This study will help policymakers and practitioners to better understand the decoupling relationship between urban economic development and transportation carbon emissions in China, so as to formulate a strategy that fits China’s characteristics to achieve the “double carbon target” for transportation sector.

Suggested Citation

  • Peng Zhao & Jiannan Zhao & Qi Yang & Shuai Zhang & Beisi Tian, 2024. "Analysis of the Decoupling between Urban Economic Development and Transportation Carbon Emissions in China: Empirical Evidence from 284 Cities," Sustainability, MDPI, vol. 16(16), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6809-:d:1452649
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    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    4. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    5. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    6. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
    7. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    8. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    9. Wang, Shaojian & Liu, Xiaoping & Zhou, Chunshan & Hu, Jincan & Ou, Jinpei, 2017. "Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities," Applied Energy, Elsevier, vol. 185(P1), pages 189-200.
    10. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    11. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    12. Pablo-Romero, María P. & Sánchez-Braza, Antonio & Gil-Pérez, Jesús, 2023. "Is deforestation needed for growth? Testing the EKC hypothesis for Latin America," Forest Policy and Economics, Elsevier, vol. 148(C).
    13. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    14. Leal, Patrícia Alexandra & Marques, António Cardoso & Fuinhas, José Alberto, 2019. "Decoupling economic growth from GHG emissions: Decomposition analysis by sectoral factors for Australia," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 12-26.
    15. Zuyi Wang & Man-Keun Kim, 2024. "Decoupling of CO2 emissions and income in the U.S.: A new look from EKC," Climatic Change, Springer, vol. 177(3), pages 1-21, March.
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    1. Jawaher Binsuwadan & Hawazen Almugren & Rana Alshamrani & Arwa Abuhaimed, 2025. "The Impact of Public–Private Partnership Investments in Transport on CO 2 Emissions in East Asian and Pacific Regions: A VAR Model," Sustainability, MDPI, vol. 17(20), pages 1-19, October.

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