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Quantifying the Impact of Urban Form and Socio-Economic Development on China’s Carbon Emissions

Author

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  • Cheng Huang

    (School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China)

  • Yang Qu

    (Chongqing Key Laboratory of Precision Optics, Chongqing Institute of East China Normal University, Chongqing 401120, China
    Institute for Global Innovation and Development, East China Normal University, Shanghai 200062, China
    School of Urban & Regional Science, East China Normal University, Shanghai 200241, China)

  • Lingfang Huang

    (School of Water Resources & Environmental Engineering, East China University of Technology, Nanchang 330127, China)

  • Xing Meng

    (Key Lab of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China)

  • Yulong Chen

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475001, China)

  • Ping Pan

    (School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China)

Abstract

Carbon emissions (CEs) are one of the most important factors causing global warming. The development of social economy and the acceleration of the urbanization process leads to increasing CEs, especially in China. Therefore, it has become an international community consensus to control the growth of CEs and mitigate global warming. Understanding the changing patterns and driving forces of CEs are important prerequisites for formulating policies that target the reduction of CEs in response to global warming. This study developed an improved logarithmic mean Divisia index (Spatial-LMDI) to explore the urban form and socio-economic driving forces of CEs in China. Comparing with previous studies, this study is unique in the way of applying spatial landscape index to LMDI decomposition analysis. The results show that population, per capita GDP, investment intensity and urban expansion are the top driving forces of CEs growth from 1995 to 2019. Investment efficiency, technology level, and aggregation are the most important factors in terms of restraining the growth of CEs. To achieve the goal of energy saving, CEs reduction and climate change mitigation, we proposed that strategies should be formulated as follows: improving efficiency of energy investment, optimizing the spatial distribution of construction land aggregation, and rationalizing distribution of industries.

Suggested Citation

  • Cheng Huang & Yang Qu & Lingfang Huang & Xing Meng & Yulong Chen & Ping Pan, 2022. "Quantifying the Impact of Urban Form and Socio-Economic Development on China’s Carbon Emissions," IJERPH, MDPI, vol. 19(5), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2976-:d:763645
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    Cited by:

    1. Sheng Zheng & Yukuan Huang & Yu Sun, 2022. "Effects of Urban Form on Carbon Emissions in China: Implications for Low-Carbon Urban Planning," Land, MDPI, vol. 11(8), pages 1-17, August.
    2. Qifan Guan, 2023. "Decomposing and Decoupling the Energy-Related Carbon Emissions in the Beijing–Tianjin–Hebei Region Using the Extended LMDI and Tapio Index Model," Sustainability, MDPI, vol. 15(12), pages 1-17, June.

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