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Spatial Variations in Relationships between Urbanization and Carbon Emissions in Chinese Urban Agglomerations

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  • Weisong Li

    (Experimental Teaching Centre, Hubei University of Economics, Wuhan 430205, China
    Collaborative Innovation Center for Emissions Trading System Co-Constructed by the Province and Ministry, Wuhan 430205, China)

  • Jiahui Wu

    (Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Liyan Yang

    (Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Wanxu Chen

    (Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
    Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng 475004, China)

  • Xinghua Cui

    (School of Statistics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Mingyu Lin

    (School of Statistics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

Abstract

Urban agglomerations (UAs) are the main battlefield of urbanization and the most concentrated areas of carbon emissions (CEs). Nevertheless, limited studies have examined the impact of urbanization level (UL) on CEs in UAs in China. This study aimed to identify the spatial relationship between UL and CEs in Chinese UAs and to conduct a comprehensive analysis of the differences in CEs caused by urbanization. The findings would provide scientific support for the China’s dual-carbon goals and the achievement of green and low-carbon urban development. Spatial variations in UL and CEs in 19 Chinese UAs were assessed in 2000, 2010, and 2020 using distribution dynamics and spatial regression models. The results indicated that the UL of UAs in China evidently increased over time, and UAs contributed approximately 80% of the national CEs. Significant spatial dependence was identified between urbanization factors and CEs. The regression results indicated that an increase in UL promoted the growth of CEs, and the form of the urban land had a significant and highly variable impact on CEs. Our findings provide a valuable case study for exploring relationships between UL and CEs in other UAs worldwide.

Suggested Citation

  • Weisong Li & Jiahui Wu & Liyan Yang & Wanxu Chen & Xinghua Cui & Mingyu Lin, 2024. "Spatial Variations in Relationships between Urbanization and Carbon Emissions in Chinese Urban Agglomerations," Land, MDPI, vol. 13(8), pages 1-20, August.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1303-:d:1457913
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    References listed on IDEAS

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    1. Fang, Chuanglin & Wang, Shaojian & Li, Guangdong, 2015. "Changing urban forms and carbon dioxide emissions in China: A case study of 30 provincial capital cities," Applied Energy, Elsevier, vol. 158(C), pages 519-531.
    2. Yue-Jun Zhang & Zhao Liu & Huan Zhang & Tai-De Tan, 2014. "The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 579-595, September.
    3. Corinne Le Quéré & Robert B. Jackson & Matthew W. Jones & Adam J. P. Smith & Sam Abernethy & Robbie M. Andrew & Anthony J. De-Gol & David R. Willis & Yuli Shan & Josep G. Canadell & Pierre Friedlingst, 2020. "Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement," Nature Climate Change, Nature, vol. 10(7), pages 647-653, July.
    4. Mark Schuerch & Tom Spencer & Stijn Temmerman & Matthew L. Kirwan & Claudia Wolff & Daniel Lincke & Chris J. McOwen & Mark D. Pickering & Ruth Reef & Athanasios T. Vafeidis & Jochen Hinkel & Robert J., 2018. "Future response of global coastal wetlands to sea-level rise," Nature, Nature, vol. 561(7722), pages 231-234, September.
    5. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
    6. Quah, Danny T, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," Journal of Economic Growth, Springer, vol. 2(1), pages 27-59, March.
    7. Anthony Gar-On Yeh & Zifeng Chen, 2020. "From cities to super mega city regions in China in a new wave of urbanisation and economic transition: Issues and challenges," Urban Studies, Urban Studies Journal Limited, vol. 57(3), pages 636-654, February.
    8. Feng Dong & Ruyin Long & Zhuolin Li & Yuanju Dai, 2016. "Analysis of carbon emission intensity, urbanization and energy mix: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(2), pages 1375-1391, June.
    9. Wentao Yang & Min Deng & Jianbo Tang & Rui Jin, 2020. "On the use of Markov chain models for drought class transition analysis while considering spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2945-2959, September.
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