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An Analysis of Disparities and Driving Factors of Carbon Emissions in the Yangtze River Economic Belt

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  • Decai Tang

    (Institute of Climate Change and Public Policy, Nanjing University of Information Science & Technology, Nanjing 210044, China
    China Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Yan Zhang

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Brandon J. Bethel

    (School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

As one of the “three major strategies” for China’s regional development, the Yangtze River Economic Belt (YREB) is under severe pressure to reduce carbon dioxide emissions, this paper analyzes the spatiotemporal disparities, and driving factors of carbon emissions based on energy consumption and related economic development data in the YREB over the 2005–2016 11-year period. Using the Stochastic Impacts Regression on Population, Affluence and Technology (STIRPAT) model, we empirically test the factors affecting YREB carbon emissions and key drivers in various provinces and municipalities. The main findings are as follows. First, per capita GDP, both industrial structure and energy intensity have positive effects on increasing carbon emissions. Second, per capita GDP and energy intensity have the largest impact on the increase of carbon emissions, and the urbanization rate has the largest inhibitory effect on carbon emissions.

Suggested Citation

  • Decai Tang & Yan Zhang & Brandon J. Bethel, 2019. "An Analysis of Disparities and Driving Factors of Carbon Emissions in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(8), pages 1-13, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2362-:d:224530
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    3. Haojia Kong & Lifan Shi & Dan Da & Zhijiang Li & Decai Tang & Wei Xing, 2022. "Simulation of China’s Carbon Emission based on Influencing Factors," Energies, MDPI, vol. 15(9), pages 1-15, April.
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    5. Fengsong Pei & Rui Zhong & Li-An Liu & Yingjuan Qiao, 2021. "Decoupling the Relationships between Carbon Footprint and Economic Growth within an Urban Agglomeration—A Case Study of the Yangtze River Delta in China," Land, MDPI, vol. 10(9), pages 1-15, September.
    6. Zhiwei Pan & Decai Tang & Haojia Kong & Junxia He, 2022. "An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    7. Yulia I. Pyzheva & Evgeniya V. Zander & Anton I. Pyzhev, 2021. "Impacts of Energy Efficiency and Economic Growth on Air Pollutant Emissions: Evidence from Angara–Yenisey Siberia," Energies, MDPI, vol. 14(19), pages 1-10, September.
    8. Shulin Wang & Yongtao Li & Mahfuzul Haque, 2019. "Evidence on the Impact of Winter Heating Policy on Air Pollution and Its Dynamic Changes in North China," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    9. Qiongzhi Liu & Dapeng Zhao, 2023. "Study on the Spatial Characteristics and Spillover Effects of Carbon Emissions in the Yangtze River (Main Stream) Basin," Energies, MDPI, vol. 16(3), pages 1-18, January.

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