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Spatiotemporal Variation and Development Stage of CO 2 Emissions of Urban Agglomerations in the Yangtze River Economic Belt, China

Author

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  • Qikai Lu

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
    Key Laboratory of Digital Mapping and Land Information Application, Ministry of Natural Resources, Wuhan University, Wuhan 430079, China
    Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China)

  • Tiance Lv

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
    Chucai Honors College, Hubei University, Wuhan 430062, China)

  • Sirui Wang

    (Chucai Honors College, Hubei University, Wuhan 430062, China
    School of Public Administration, Hubei University, Wuhan 430062, China)

  • Lifei Wei

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
    Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China)

Abstract

As the world’s largest developing country, China has played an important role in the achievement of the global CO 2 emissions mitigation goal. The monitoring and analysis of CO 2 emissions in the Yangtze River Economic Belt (YREB) urban agglomerations is strategic to the carbon peak and carbon neutrality in China. In this paper, we revealed the spatial and temporal variations of CO 2 emissions in Cheng-Yu urban agglomeration (CY-UA), Yangtze River Middle-Reach urban agglomeration (YRMR-UA), and Yangtze River Delta urban agglomeration (YRD-UA) in YREB and investigated the carbon emission development stage of YREB urban agglomerations. Particularly, a carbon emission development stage framework that considered the relationship between economic growth and carbon emissions was built based on Environmental Kuznets Curves (EKCs). Meanwhile, multiscale geographically weighted regression (MGWR) was used to analyze the impact of different influencing factors, including population (POP), GDP per capita (GDPPC), the proportion of secondary industry (SI), carbon emission intensity (CI), and urbanization (UR), on the CO 2 emissions of three urban agglomerations. The results illustrate the following: (1) The CO 2 emissions of YREB urban agglomerations decreased, with YRD-UA having the highest CO 2 emissions among the three urban agglomerations and contributing 41.87% of YREB CO 2 emissions in 2017. (2) CY-UA, YRMR-UA, and YRD-UA reached the CO 2 emissions peak in 2012, 2011, and 2020, respectively, all of which are at the low-carbon stage. (3) POP and GDPPC show the greatest impact on the CO 2 emissions of the three YREB urban agglomerations.

Suggested Citation

  • Qikai Lu & Tiance Lv & Sirui Wang & Lifei Wei, 2023. "Spatiotemporal Variation and Development Stage of CO 2 Emissions of Urban Agglomerations in the Yangtze River Economic Belt, China," Land, MDPI, vol. 12(9), pages 1-20, August.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1678-:d:1226738
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    References listed on IDEAS

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