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How Does Urban Scale Influence Carbon Emissions?

Author

Listed:
  • Jiayu Yang

    (School of Public Affairs, Institute of Land Science and Property Management, Zhejiang University, Hangzhou 310058, China)

  • Xinhui Feng

    (School of Public Affairs, Institute of Land Science and Property Management, Zhejiang University, Hangzhou 310058, China)

  • Yan Li

    (School of Public Affairs, Institute of Land Science and Property Management, Zhejiang University, Hangzhou 310058, China)

  • Congying He

    (Ningbo Institute of Oceanography, Ningbo 315832, China)

  • Shiyi Wang

    (School of Public Affairs, Institute of Land Science and Property Management, Zhejiang University, Hangzhou 310058, China)

  • Feng Li

    (College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract

Low-carbon cities aim to minimize greenhouse gas emissions in the context of climate change in the process of urbanization. Maintaining these cities at an appropriate physical scale has been proven to contribute to carbon reduction. Therefore, this study extended the definition of the city scale to an integrated framework with three dimensions: the construction land area, population, and economy. The urban construction land of 258 cities in China during 2012 to 2019 was divided into commercial, industrial, residential, and traffic sectors, and carbon emissions were calculated for each. The regression relationship between carbon emissions and the urban scale revealed by panel data analysis showed the following conclusions: (1) carbon emissions were concentrated in north China, provincial capital cities, and municipalities directly under the central government during the research period, and the industrial sector was the main emission resource, accounting for more than 85% of the total emissions. (2) Carbon emissions per unit of land decreased with the increasing land scale, regardless of the land-use type. The growth rate of carbon emissions was slower than that of the population, and cities also became more efficient as their economic scale expanded. (3) Compared with small cities, the large ones benefited more from increasing commercial and traffic land areas, whereas industrial emissions for production needs exhibited significant agglomeration characteristics. Overall, low-carbon planning should focus on the driving role of provincial capital cities as large cities tend to be more efficient, and develop the emission reduction potential of major industrial cities as well.

Suggested Citation

  • Jiayu Yang & Xinhui Feng & Yan Li & Congying He & Shiyi Wang & Feng Li, 2024. "How Does Urban Scale Influence Carbon Emissions?," Land, MDPI, vol. 13(8), pages 1-21, August.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1254-:d:1453177
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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. Wang, Shaojian & Liu, Xiaoping, 2017. "China’s city-level energy-related CO2 emissions: Spatiotemporal patterns and driving forces," Applied Energy, Elsevier, vol. 200(C), pages 204-214.
    3. Daniel Broxterman & Anthony Yezer, 2021. "Human capital divergence and the size distribution of cities: Is Gibrat’s law obsolete?," Urban Studies, Urban Studies Journal Limited, vol. 58(12), pages 2549-2568, September.
    4. Yu Zhang & Xi Chen & Ya Wu & Chenyang Shuai & Liyin Shen & Gui Ye, 2020. "Peaks of transportation CO2 emissions of 119 countries for sustainable development: Results from carbon Kuznets curve," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 550-571, July.
    5. Li, Xi & Zhang, Runsen & Chen, Jundong & Jiang, Yida & Zhang, Qiong & Long, Yin, 2021. "Urban-scale carbon footprint evaluation based on citizen travel demand in Japan," Applied Energy, Elsevier, vol. 286(C).
    6. 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.
    7. Yan SUN & Yu ZHANG & Xuemin LIU, 2020. "Driving Factors of Transportation CO2 Emissions in Beijing: An Analysis from the Perspective of Urban Development," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 1-17, September.
    8. Luis Bettencourt & Geoffrey West, 2010. "A unified theory of urban living," Nature, Nature, vol. 467(7318), pages 912-913, October.
    9. Geoffrey B. West & James H. Brown & Brian J. Enquist, 1997. "A General Model for the Origin of Allometric Scaling Laws in Biology," Working Papers 97-03-019, Santa Fe Institute.
    10. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    11. Ronald L. Moomaw, 1981. "Productivity and City Size: A Critique of the Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(4), pages 675-688.
    12. Chen, Danling & Hu, Wenbo & Li, Yuying & Zhang, Chaozheng & Lu, Xinhai & Cheng, Hui, 2023. "Exploring the temporal and spatial effects of city size on regional economic integration: Evidence from the Yangtze River Economic Belt in China," Land Use Policy, Elsevier, vol. 132(C).
    13. He, Qi & Jiang, Xujia & Gouldson, Andy & Sudmant, Andrew & Guan, Dabo & Colenbrander, Sarah & Xue, Tao & Zheng, Bo & Zhang, Qiang, 2016. "Climate change mitigation in Chinese megacities: A measures-based analysis of opportunities in the residential sector," Applied Energy, Elsevier, vol. 184(C), pages 769-778.
    14. Lee, Chien-Chiang & Wang, Fuhao, 2022. "How does digital inclusive finance affect carbon intensity?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 174-190.
    15. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
    16. Chen, Shaoqing & Chen, Bin, 2017. "Coupling of carbon and energy flows in cities: A meta-analysis and nexus modelling," Applied Energy, Elsevier, vol. 194(C), pages 774-783.
    17. Xiaoxin Zhang & Martin Brandt & Xiaowei Tong & Philippe Ciais & Yuemin Yue & Xiangming Xiao & Wenmin Zhang & Kelin Wang & Rasmus Fensholt, 2022. "A large but transient carbon sink from urbanization and rural depopulation in China," Nature Sustainability, Nature, vol. 5(4), pages 321-328, April.
    18. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
    19. 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.
    20. Asif Razzaq & Arshian Sharif & Paiman Ahmad & Kittisak Jermsittiparsert, 2021. "Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 176-193, January.
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