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Mechanism and Spatial Spillover Effect of New-Type Urbanization on Urban CO 2 Emissions: Evidence from 250 Cities in China

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  • Chiqun Hu

    (School of Economics and Management, Xinjiang University, Urumqi 830046, China)

  • Xiaoyu Ma

    (School of Economics and Management, Xinjiang University, Urumqi 830046, China
    Center for Innovation Management Research of Xinjiang, Xinjiang University, Urumqi 830046, China)

  • Yangqing Liu

    (School of Economics and Management, Guangxi Normal University, Guilin 541006, China)

  • Jiexiao Ge

    (School of Economics and Management, Guangxi Normal University, Guilin 541006, China)

  • Xiaohui Zhang

    (School of Economics and Management, Guangxi Normal University, Guilin 541006, China)

  • Qiangyi Li

    (School of Economics and Management, Guangxi Normal University, Guilin 541006, China
    Economics and Management School, Wuhan University, Wuhan 430072, China)

Abstract

Exploring the effect of new-type urbanization (NTU) on urban carbon abatement is of great practical significance for promoting urban green construction and coping with the challenge of global climate change. This study used data from 250 cities in China from 2008 to 2020 and constructed the NTU evaluation indicator system from five dimensions. We used classical panel regression models to examine the effects of NTU on urban CO 2 emissions, and further used spatial econometric models of SEM, SAR, and SDM to identify the spatial spillover effects of NTU on urban CO 2 emissions. The main results are that China’s NTU and CO 2 emissions are generally rising, and NTU has a significantly negative effect on urban CO 2 emissions, with an impact coefficient of −0.9339; the conclusions still hold after subsequent robustness tests. Heterogeneity analysis reveals that NTU’s carbon abatement effect is more pronounced in resource-based cities, old industrial areas, and cities with lower urbanization levels and higher innovation levels. Mechanism analysis shows that improving urban technological innovation and optimizing resource allocation are important paths for realizing urban CO 2 emission reduction. NTU’s effect on urban CO 2 emissions has a noticeable spatial spillover. Our findings provide policy makers with solid support for driving high-quality urban development and dual-carbon targets.

Suggested Citation

  • Chiqun Hu & Xiaoyu Ma & Yangqing Liu & Jiexiao Ge & Xiaohui Zhang & Qiangyi Li, 2023. "Mechanism and Spatial Spillover Effect of New-Type Urbanization on Urban CO 2 Emissions: Evidence from 250 Cities in China," Land, MDPI, vol. 12(5), pages 1-25, May.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:1047-:d:1144525
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    as
    1. Yu, Binbin, 2021. "Ecological effects of new-type urbanization in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    2. Wu, JunJie & Segerson, Kathleen & Wang, Chunhua, 2023. "Is environmental regulation the answer to pollution problems in urbanizing economies?," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    3. Jiang, Changjun & Li, Jintao & Liu, Jilai, 2022. "Does urbanization affect the gap between urban and rural areas? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    4. Lin, Boqiang & Li, Zheng, 2020. "Is more use of electricity leading to less carbon emission growth? An analysis with a panel threshold model," Energy Policy, Elsevier, vol. 137(C).
    5. Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
    6. Yunyang Ji & Xiaoxin Guo & Shihu Zhong & Lina Wu, 2020. "Land Financialization, Uncoordinated Development of Population Urbanization and Land Urbanization, and Economic Growth: Evidence from China," Land, MDPI, vol. 9(12), pages 1-22, November.
    7. Chen, Huanyu & Yi, Jizheng & Chen, Aibin & Peng, Duanxiang & Yang, Jieqiong, 2023. "Green technology innovation and CO2 emission in China: Evidence from a spatial-temporal analysis and a nonlinear spatial durbin model," Energy Policy, Elsevier, vol. 172(C).
    8. Cole, Matthew A. & Elliott, Robert J.R. & Okubo, Toshihiro & Zhou, Ying, 2013. "The carbon dioxide emissions of firms: A spatial analysis," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 290-309.
    9. Justin Yifu Lin & Binkai Chen, 2011. "Urbanization and Urban-Rural Inequality in China: A New Perspective from the Government¡¯s Development Strategy," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 6(1), pages 1-21, March.
    10. Ren, Siyu & Hao, Yu & Wu, Haitao, 2022. "The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China," Resources Policy, Elsevier, vol. 76(C).
    11. Leroutier, Marion, 2022. "Carbon pricing and power sector decarbonization: Evidence from the UK," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    12. Long, X. & Ji, Xi & Ulgiati, S., 2017. "Is urbanization eco-friendly? An energy and land use cross-country analysis," Energy Policy, Elsevier, vol. 100(C), pages 387-396.
    13. Justin Lin & Binkai Chen, 2011. "Urbanization and urban-rural inequality in china: a new perspective from the government’s development strategy," Frontiers of Economics in China, Springer;Higher Education Press, vol. 6(1), pages 1-21, March.
    14. Xu, Jiajun & Wang, Jinchao & Li, Rui & Yang, Xiaojun, 2023. "Spatio-temporal effects of urbanization on CO2 emissions: Evidences from 268 Chinese cities," Energy Policy, Elsevier, vol. 177(C).
    15. Wang, Shaojian & Xie, Zihan & Wu, Rong & Feng, Kuishang, 2022. "How does urbanization affect the carbon intensity of human well-being? A global assessment," Applied Energy, Elsevier, vol. 312(C).
    16. Gregory Clark & Neil Cummins, 2009. "Urbanization, Mortality, and Fertility in Malthusian England," American Economic Review, American Economic Association, vol. 99(2), pages 242-247, May.
    17. Tiangui Lv & Li Wang & Xinmin Zhang & Hualin Xie & Hua Lu & Hongyi Li & Wangda Liu & Yanwei Zhang, 2019. "Coupling Coordinated Development and Exploring Its Influencing Factors in Nanchang, China: From the Perspectives of Land Urbanization and Population Urbanization," Land, MDPI, vol. 8(12), pages 1-17, November.
    18. Hassan, Taimoor & Song, Huaming & Khan, Yasir & Kirikkaleli, Dervis, 2022. "Energy efficiency a source of low carbon energy sources? Evidence from 16 high-income OECD economies," Energy, Elsevier, vol. 243(C).
    19. Zhang, Kun & Yao, Yun-Fei & Liang, Qiao-Mei & Saren, Gaowa, 2021. "How should China prioritize the deregulation of electricity prices in the context of carbon pricing? A computable general equilibrium analysis," Energy Economics, Elsevier, vol. 96(C).
    20. Hui Dai & Jamal Mamkhezri & Noman Arshed & Anam Javaid & Sultan Salem & Yousaf Ali Khan, 2022. "Role of Energy Mix in Determining Climate Change Vulnerability in G7 Countries," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    21. Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2020. "Do drivers of CO2 emission growth alter overtime and by the stage of economic development?," Energy Policy, Elsevier, vol. 140(C).
    22. Feng, Yidai & Liu, Yaobin & Yuan, Huaxi, 2022. "The spatial threshold effect and its regional boundary of new-type urbanization on energy efficiency," Energy Policy, Elsevier, vol. 164(C).
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