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An empirical relationship between urbanization and carbon emissions in an ecological civilization demonstration area of China based on the STIRPAT model

Author

Listed:
  • Tiangui Lv

    (Jiangxi University of Finance and Economics
    Jiangxi University of Finance and Economics)

  • Han Hu

    (Jiangxi University of Finance and Economics)

  • Hualin Xie

    (Jiangxi University of Finance and Economics)

  • Xinmin Zhang

    (Jiangxi University of Finance and Economics)

  • Li Wang

    (Jiangxi University of Finance and Economics)

  • Xiaoqiang Shen

    (Lanzhou University)

Abstract

To understand the complex relationship and influencing mechanisms between urbanization and carbon emissions, the impacts and differential effects of urbanization and population on carbon emissions in an ecological civilization demonstration area of Jiangxi Province, China, were analyzed using the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model. Moreover, scenario analysis methods were applied to define nine development scenarios to predict future carbon emissions in Jiangxi. The research results indicate that (1) in terms of the spatial and temporal patterns, carbon emissions in Jiangxi Province are spatially characterized as higher in northern and western Jiangxi, balanced in northeastern and central Jiangxi, and lower in southern Jiangxi. (2) Regarding the directions of the spatial and temporal patterns, carbon emissions in Jiangxi vary unevenly. Carbon emissions in the outer peripheral area increase notably. The center of the standard deviational ellipse shifts to the northeast by approximately 4.11°, and the overall trend of its spatial pattern changes from northeast–southwest to east–west. (3) Regarding the influencing factors, for every 1% change in population, the economy, technology, and urbanization, carbon emissions increase by 3.2085%, 3.5673%, 0.5232%, and 1.7377%, respectively. There exists an inverted U-shaped nonlinear relationship between economic factors and carbon emissions. From the horizontal perspective, the coefficient of elasticity of the sample containing developed-region sample is significantly lower than those of the total sample and the sample containing underdeveloped-region. (4) Scenario analysis revealed that a low population growth rate, high per capita GDP growth rate, and low energy intensity growth rate effectively control future carbon emissions in Jiangxi Province. When formulating carbon emissions reduction policies, consideration should be given to the maintenance of an appropriate population size, economic structure optimization, cleaner production technology development and regional differences.

Suggested Citation

  • Tiangui Lv & Han Hu & Hualin Xie & Xinmin Zhang & Li Wang & Xiaoqiang Shen, 2023. "An empirical relationship between urbanization and carbon emissions in an ecological civilization demonstration area of China based on the STIRPAT model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2465-2486, March.
    • Handle: RePEc:spr:endesu:v:25:y:2023:i:3:d:10.1007_s10668-022-02144-6
    DOI: 10.1007/s10668-022-02144-6
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    References listed on IDEAS

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    Cited by:

    1. Xitao Yu & Jianhong Cheng & Liqiong Li, 2023. "Prediction of CO 2 Emissions Related to Energy Consumption for Rural Governance," Sustainability, MDPI, vol. 15(24), pages 1-18, December.
    2. Ruixu Chen & Yang Chen & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Interplay of Urbanization and Ecological Environment: Coordinated Development and Drivers," Land, MDPI, vol. 12(7), pages 1-17, July.
    3. Dulal Chandra Pattak & Farian Tahrim & Mahdi Salehi & Liton Chandra Voumik & Salma Akter & Mohammad Ridwan & Beata Sadowska & Grzegorz Zimon, 2023. "The Driving Factors of Italy’s CO 2 Emissions Based on the STIRPAT Model: ARDL, FMOLS, DOLS, and CCR Approaches," Energies, MDPI, vol. 16(15), pages 1-21, August.

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