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The Carbon Emission Intensity of Industrial Land in China: Spatiotemporal Characteristics and Driving Factors

Author

Listed:
  • Liangen Zeng

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Chengming Li

    (School of Economics, Minzu University of China, Beijing 100871, China)

  • Zhongqi Liang

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Xuhai Zhao

    (School of Economics and Management, Tsinghua University, Beijing 100871, China
    Guangxi Rig Rural Revitalization Private Fund Management Co., Ltd., Nanning 530023, China)

  • Haoyu Hu

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Xiao Wang

    (Guanghua School of Management, Peking University, Beijing 100871, China)

  • Dandan Yuan

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Zhao Yu

    (Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Tingzhang Yang

    (College of Business and Economics, Australian National University, Canberra, ACT 2600, Australia)

  • Jingming Lu

    (School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China)

  • Qi Huang

    (School of Software and Microelectronics, Peking University, Beijing 100871, China)

  • Fuyao Qu

    (School of Economics, Peking University, Beijing 100871, China)

Abstract

CO 2 emission reduction has become a consensus all around the world. This paper investigates the spatiotemporal characteristics of industrial land carbon emission intensity (ILCEI) in China by spatial autocorrelation analysis, and applies the spatial Durbin model to reveal the influence of driving factors on ILCEI. The results indicate the following: (1) national ILCEI first shows a downward and then an upward trend during the period and presents a low pattern in both Eastern and Northeastern regions and a high pattern in the Northwestern region. (2) From a global perspective, ILCEI shows significant spatial agglomeration characteristics; from a local perspective, ILCEI is dominated by H-H and L-L agglomeration types, showing that spatial heterogeneity and spatial dependence are apparent in ILCEI. (3) ILCEI is significantly negatively affected by both R & D personnel and foreign-trade dependence, while urban population density notably has positive impacts on ILCEI. This paper is a beneficial policy practice for harmonizing the contradiction between industrial land expansion and carbon discharge.

Suggested Citation

  • Liangen Zeng & Chengming Li & Zhongqi Liang & Xuhai Zhao & Haoyu Hu & Xiao Wang & Dandan Yuan & Zhao Yu & Tingzhang Yang & Jingming Lu & Qi Huang & Fuyao Qu, 2022. "The Carbon Emission Intensity of Industrial Land in China: Spatiotemporal Characteristics and Driving Factors," Land, MDPI, vol. 11(8), pages 1-19, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1156-:d:872122
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    References listed on IDEAS

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    Cited by:

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    2. Ting Zhang & Longqian Chen & Ziqi Yu & Jinyu Zang & Long Li, 2022. "Spatiotemporal Evolution Characteristics of Carbon Emissions from Industrial Land in Anhui Province, China," Land, MDPI, vol. 11(11), pages 1-18, November.
    3. Liyuan Fu & Qing Wang, 2022. "Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption," IJERPH, MDPI, vol. 19(19), pages 1-29, September.
    4. Xinyue Yuan & Yang Nie & Liangen Zeng & Chao Lu & Tingzhang Yang, 2023. "Exploring the Impacts of Urbanization on Eco-Efficiency in China," Land, MDPI, vol. 12(3), pages 1-14, March.
    5. Le Yang & Zhongqi Liang & Wentao Yao & Hongmin Zhu & Liangen Zeng & Zihan Zhao, 2023. "What Are the Impacts of Urbanisation on Carbon Emissions Efficiency? Evidence from Western China," Land, MDPI, vol. 12(9), pages 1-18, August.
    6. Jinxing Hu & Cuiying Shao & Zhaolong Zhang, 2022. "The Impact of Sustainable Regional Development Policy on Carbon Emissions: Evidence from Yangtze River Delta of China," Energies, MDPI, vol. 15(24), pages 1-25, December.

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