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Investigating the Impacts of Built-Up Land Allocation on Carbon Emissions in 88 Cities of the Yangtze River Economic Belt Based on Panel Regressions

Author

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  • Jiayu Liu

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Feng Xu

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    Key Laboratory of Law and Governance, Ministry of Natural Resources, Wuhan 430074, China)

  • Huan Wang

    (School of Economics, Beijing Technology and Business University, Beijing 100048, China)

  • Xiao Zhang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

Abstract

The supply of built-up land determines the depths of human activities, leading to the differences in scale and intensity of carbon emissions. However, the relationship between the composition of built-up land and carbon emissions has not been fully investigated. In response, this study collects the panel data of 88 cities along the Yangtze River Economic Belt, China, and uses the fixed effect model and system GMM model, to explore the impacts of specific subtypes of built-up land on carbon emissions averaged by economic output and urban land. The findings show that industrial land and commercial land are the main contributors to increase carbon emissions; the increased proportions of land subtypes related to supporting facilities and infrastructures show significant restraining effects; carbon emission was a dynamic process with time-lagged effects. As a result, reallocating the structure of urban built-up land can directly and indirectly adjust the intensity of carbon emissions. Policy recommendations focus on the balanced supplies of production and ecological land.

Suggested Citation

  • Jiayu Liu & Feng Xu & Huan Wang & Xiao Zhang, 2023. "Investigating the Impacts of Built-Up Land Allocation on Carbon Emissions in 88 Cities of the Yangtze River Economic Belt Based on Panel Regressions," Land, MDPI, vol. 12(4), pages 1-15, April.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:4:p:854-:d:1119380
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    References listed on IDEAS

    as
    1. Aihui Ma & Yaya He & Peng Tang, 2021. "Understanding the Impact of Land Resource Misallocation on Carbon Emissions in China," Land, MDPI, vol. 10(11), pages 1-15, November.
    2. Thomas Wiedmann & Guangwu Chen & Anne Owen & Manfred Lenzen & Michael Doust & John Barrett & Kristian Steele, 2021. "Three‐scope carbon emission inventories of global cities," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 735-750, June.
    3. Feng Han & Min Huang, 2022. "Land Misallocation and Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(8), pages 1-30, July.
    4. Liu, Xiaoping & Ou, Jinpei & Chen, Yimin & Wang, Shaojian & Li, Xia & Jiao, Limin & Liu, Yaolin, 2019. "Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures," Applied Energy, Elsevier, vol. 238(C), pages 1163-1178.
    5. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    6. Chuanzhun Sun & Chao Sun & Zhenshan Yang & Jikang Zhang & Yu Deng, 2016. "Urban Land Development for Industrial and Commercial Use: A Case Study of Beijing," Sustainability, MDPI, vol. 8(12), pages 1-18, December.
    7. Dongyang Xiao & Haipeng Niu & Jin Guo & Suxia Zhao & Liangxin Fan, 2021. "Carbon Storage Change Analysis and Emission Reduction Suggestions under Land Use Transition: A Case Study of Henan Province, China," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
    8. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    9. Wang, Shaojian & Fang, Chuanglin & Wang, Yang, 2016. "Spatiotemporal variations of energy-related CO2 emissions in China and its influencing factors: An empirical analysis based on provincial panel data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 505-515.
    10. Andrée, Bo Pieter Johannes & Chamorro, Andres & Spencer, Phoebe & Koomen, Eric & Dogo, Harun, 2019. "Revisiting the relation between economic growth and the environment; a global assessment of deforestation, pollution and carbon emission," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    11. Ahn, Seung C. & Gadarowski, Christopher, 2004. "Small sample properties of the GMM specification test based on the Hansen-Jagannathan distance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 109-132, January.
    12. Hussain, Jafar & Lee, Chien-Chiang & Chen, Yongxiu, 2022. "Optimal green technology investment and emission reduction in emissions generating companies under the support of green bond and subsidy," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    13. Jianghua Liu & Mengxu Li & Yitao Ding, 2021. "Econometric analysis of the impact of the urban population size on carbon dioxide (CO2) emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18186-18203, December.
    14. Xiao Zhang & Meng Li & Qiao Li & Yanan Wang & Wei Chen, 2021. "Spatial Threshold Effect of Industrial Land Use Efficiency on Industrial Carbon Emissions: A Case Study in China," IJERPH, MDPI, vol. 18(17), pages 1-17, September.
    15. Zhou, Di & Huang, Qing & Chong, Zhaohui, 2022. "Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China," Land Use Policy, Elsevier, vol. 121(C).
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