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Impact Mechanism of the Urban Network on Carbon Emissions in Rapidly Developing Regions: Example of 47 Cities in Southwest China

Author

Listed:
  • Jie Su

    (College of Architecture and Environment, Sichuan University, Chengdu 610065, China)

  • Bo Zhou

    (College of Architecture and Environment, Sichuan University, Chengdu 610065, China)

  • Yuanpei Liao

    (College of Architecture and Environment, Sichuan University, Chengdu 610065, China)

  • Chaoshen Wang

    (College of Architecture and Environment, Sichuan University, Chengdu 610065, China)

  • Tian Feng

    (College of Architecture and Environment, Sichuan University, Chengdu 610065, China)

Abstract

Southwest China faces harsh environmental pollution challenges and rapid development. Against this backdrop, exploring the impact mechanism of the urban network on carbon emissions in rapidly developing regions is of great significance to the balance between regional development and carbon emissions reduction, as well as regional sustainable development. The objective of this study is to quantify the relationship between carbon emissions and the urban network, using panel data analysis for 47 cities in southwest China from 2010 to 2019. Therefore, several urban network indices were selected and quantitatively studied by using the spatial Durbin model to reveal the impact mechanism of the urban network on carbon emissions in rapidly developing regions. The results show that: (1) the growth of carbon emissions in a city has a significant positive spatial spillover effect on the surrounding areas; (2) the temporal and spatial distribution of carbon emissions is highly coincident with the urban network; (3) the urban network has a two-sided impact mechanism of promoting and inhibiting carbon emissions; and (4) the effect of the impact mechanism is affected by regional development conditions, and the promotion effect plays the main role in rapidly developing regions.

Suggested Citation

  • Jie Su & Bo Zhou & Yuanpei Liao & Chaoshen Wang & Tian Feng, 2022. "Impact Mechanism of the Urban Network on Carbon Emissions in Rapidly Developing Regions: Example of 47 Cities in Southwest China," Land, MDPI, vol. 11(4), pages 1-19, March.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:4:p:458-:d:777846
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    References listed on IDEAS

    as
    1. Gudipudi, Ramana & Fluschnik, Till & Ros, Anselmo García Cantú & Walther, Carsten & Kropp, Jürgen P., 2016. "City density and CO2 efficiency," Energy Policy, Elsevier, vol. 91(C), pages 352-361.
    2. Liu, Xingjian & Wang, Mingshu & Qiang, Wei & Wu, Kang & Wang, Xiaomi, 2020. "Urban form, shrinking cities, and residential carbon emissions: Evidence from Chinese city-regions," Applied Energy, Elsevier, vol. 261(C).
    3. Sheng, Pengfei & Li, Jun & Zhai, Mengxin & Huang, Shoujun, 2020. "Coupling of economic growth and reduction in carbon emissions at the efficiency level: Evidence from China," Energy, Elsevier, vol. 213(C).
    4. Su, Hongwei & Liang, Biming, 2021. "The impact of regional market integration and economic opening up on environmental total factor energy productivity in Chinese provinces," Energy Policy, Elsevier, vol. 148(PA).
    5. Zhang, Fan & Deng, Xiangzheng & Phillips, Fred & Fang, Chuanglin & Wang, Chao, 2020. "Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    6. Wang, Shaojian & Shi, Chenyi & Fang, Chuanglin & Feng, Kuishuang, 2019. "Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using Geographically Weighted Regression Model," Applied Energy, Elsevier, vol. 235(C), pages 95-105.
    7. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    8. Alam, Md. Mahmudul & Murad, Md. Wahid, 2020. "The impacts of economic growth, trade openness and technological progress on renewable energy use in organization for economic co-operation and development countries," Renewable Energy, Elsevier, vol. 145(C), pages 382-390.
    9. Branger, Frédéric & Quirion, Philippe, 2015. "Reaping the carbon rent: Abatement and overallocation profits in the European cement industry, insights from an LMDI decomposition analysis," Energy Economics, Elsevier, vol. 47(C), pages 189-205.
    10. Wang, Yuan & Li, Li & Kubota, Jumpei & Han, Rong & Zhu, Xiaodong & Lu, Genfa, 2016. "Does urbanization lead to more carbon emission? Evidence from a panel of BRICS countries," Applied Energy, Elsevier, vol. 168(C), pages 375-380.
    11. Geniaux, Ghislain & Martinetti, Davide, 2018. "A new method for dealing simultaneously with spatial autocorrelation and spatial heterogeneity in regression models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 74-85.
    12. Li, Huanan & Mu, Hailin & Zhang, Ming & Li, Nan, 2011. "Analysis on influence factors of China's CO2 emissions based on Path–STIRPAT model," Energy Policy, Elsevier, vol. 39(11), pages 6906-6911.
    13. Kai Zhu & Manya Tu & Yingcheng Li, 2022. "Did Polycentric and Compact Structure Reduce Carbon Emissions? A Spatial Panel Data Analysis of 286 Chinese Cities from 2002 to 2019," Land, MDPI, vol. 11(2), pages 1-15, January.
    14. Chuai, Xiaowei & Yuan, Ye & Zhang, Xiuying & Guo, Xiaomin & Zhang, Xiaolei & Xie, Fangjian & Zhao, Rongqin & Li, Jianbao, 2019. "Multiangle land use-linked carbon balance examination in Nanjing City, China," Land Use Policy, Elsevier, vol. 84(C), pages 305-315.
    15. 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.
    16. Khezri, Mohsen & Karimi, Mohammad Sharif & Khan, Y.A. & Abbas, S.Z., 2021. "The spillover of financial development on CO2 emission: A spatial econometric analysis of Asia-Pacific countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    17. Liu, Kai & Xue, Mingyue & Peng, Mengjie & Wang, Chengxin, 2020. "Impact of spatial structure of urban agglomeration on carbon emissions: An analysis of the Shandong Peninsula, China," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    18. Wen, Lanjiao & Chatalova, Lioudmila & Gao, Xin & Zhang, Anlu, 2021. "Reduction of carbon emissions through resource-saving and environment-friendly regional economic integration: Evidence from Wuhan metropolitan area, China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    19. Tahmasebi, Asghar & Askaribezayeh, Fatemeh, 2021. "Microfinance and social capital formation- a social network analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    20. 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.
    21. Sider, Timothy & Alam, Ahsan & Zukari, Mohamad & Dugum, Hussam & Goldstein, Nathan & Eluru, Naveen & Hatzopoulou, Marianne, 2013. "Land-use and socio-economics as determinants of traffic emissions and individual exposure to air pollution," Journal of Transport Geography, Elsevier, vol. 33(C), pages 230-239.
    22. Ivan Muñiz & Andrés Dominguez, 2020. "The Impact of Urban Form and Spatial Structure on per Capita Carbon Footprint in U.S. Larger Metropolitan Areas," Sustainability, MDPI, vol. 12(1), pages 1-19, January.
    23. Li, Guangchen & Wei, Weixian, 2021. "Financial development, openness, innovation, carbon emissions, and economic growth in China," Energy Economics, Elsevier, vol. 97(C).
    24. Xia, Chang & Zhang, Anqi & Wang, Haijun & Zhang, Boen & Zhang, Yan, 2019. "Bidirectional urban flows in rapidly urbanizing metropolitan areas and their macro and micro impacts on urban growth: A case study of the Yangtze River middle reaches megalopolis, China," Land Use Policy, Elsevier, vol. 82(C), pages 158-168.
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