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Spatiotemporal Variation of Per Capita Carbon Emissions and Carbon Compensation Zoning in Chinese Counties

Author

Listed:
  • Juan Chen

    (School of Earth Sciences, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China)

  • Sensen Wu

    (School of Earth Sciences, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China)

  • Laifu Zhang

    (School of Earth Sciences, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China)

Abstract

The per capita carbon balance and carbon compensation zoning of Chinese counties from the perspective of major function-oriented zones is important for realizing the carbon peaking and carbon neutral target. In this study, the Kernel-K-means++ algorithm is used and a more comprehensive per capita carbon compensation zoning model is constructed. Based on this, combined with the major function-oriented zones, Chinese counties are divided into per capita carbon compensation-type zones. Further, spatial and temporal characteristics are detected, and suggestions for optimizing low-carbon development are put forward. The main results are as follows: (1) From 2000 to 2017, the per capita carbon emissions (PCO 2 ) of Chinese counties were large and showed a trend of stable expansion and a southeast–northwest pattern; (2) the per capita carbon emissions of key development zones accounted for the largest proportion of emissions; (3) there were 1410 payment zones, 170 balanced zones, and 242 compensated zones among China’s counties; and (4) 11 types of carbon compensation space optimization zones were finally formed, and low-carbon development directions and strategies were proposed for each type of area. Based on this, this study promotes regional carbon emissions management and reduction in China and provides a reference for other regions to reduce emissions.

Suggested Citation

  • Juan Chen & Sensen Wu & Laifu Zhang, 2023. "Spatiotemporal Variation of Per Capita Carbon Emissions and Carbon Compensation Zoning in Chinese Counties," Land, MDPI, vol. 12(9), pages 1-22, September.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1796-:d:1241224
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    References listed on IDEAS

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    1. Xiaodong Jing & Guiliang Tian & Minrui Li & Sohail Ahmad Javeed, 2021. "Research on the Spatial and Temporal Differences of China’s Provincial Carbon Emissions and Ecological Compensation Based on Land Carbon Budget Accounting," IJERPH, MDPI, vol. 18(24), pages 1-21, December.
    2. Qiaowen Lin & Lu Zhang & Bingkui Qiu & Yi Zhao & Chao Wei, 2021. "Spatiotemporal Analysis of Land Use Patterns on Carbon Emissions in China," Land, MDPI, vol. 10(2), pages 1-13, February.
    3. Lin, Huaxing & Zhou, Ziqian & Chen, Shun & Jiang, Ping, 2023. "Clustering and assessing carbon peak statuses of typical cities in underdeveloped Western China," Applied Energy, Elsevier, vol. 329(C).
    4. Shilong Piao & Jingyun Fang & Philippe Ciais & Philippe Peylin & Yao Huang & Stephen Sitch & Tao Wang, 2009. "The carbon balance of terrestrial ecosystems in China," Nature, Nature, vol. 458(7241), pages 1009-1013, April.
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    Cited by:

    1. Renfei Yang & Xianfeng Jin & Hongwen Zhou & Fu Ren & Xiaocheng Zhang & Zezhong Ma & Liwei Yao & Hongwei Zhang, 2024. "Regional Differences in Carbon Budgets and Inter-Regional Compensation Zoning: A Case Study of Chongqing, China," Land, MDPI, vol. 13(9), pages 1-19, September.
    2. Yuxin Tang & Ran Wang & Hui Ci & Jinyuan Wei & Hui Yang & Jiakun Teng & Zhaojin Yan, 2024. "Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration," Land, MDPI, vol. 13(6), pages 1-23, May.

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