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Spatio-Temporal Dynamics of Carbon Emissions and Their Influencing Factors at the County Scale: A Case Study of Zhejiang Province, China

Author

Listed:
  • Xuanli Wang

    (College of Art and Archaeology, Hangzhou City University, Hangzhou 310015, China)

  • Huifang Yu

    (College of Art and Archaeology, Hangzhou City University, Hangzhou 310015, China
    Beautiful Hangzhou Environmental Planning and Architectural Design Research Center, Hangzhou City University, Hangzhou 310015, China)

  • Yiqun Wu

    (College of Art and Archaeology, Hangzhou City University, Hangzhou 310015, China
    Beautiful Hangzhou Environmental Planning and Architectural Design Research Center, Hangzhou City University, Hangzhou 310015, China
    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Congyue Zhou

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Yonghua Li

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
    Center for Balance Architecture, Zhejiang University, Hangzhou 310058, China
    Architectural Design and Research Institute of Zhejiang University Co., Ltd., Hangzhou 310058, China)

  • Xingyu Lai

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Jiahao He

    (College of Art and Archaeology, Hangzhou City University, Hangzhou 310015, China
    Beautiful Hangzhou Environmental Planning and Architectural Design Research Center, Hangzhou City University, Hangzhou 310015, China
    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

Abstract

Significant carbon emissions, a key contributor to global climate warming, pose risks to ecosystems and human living conditions. It is crucial to monitor the spatial and temporal patterns of carbon emissions at the county level to reach the goals of carbon peak and neutrality. This study examines carbon emissions and economic and social problems data from 89 counties in Zhejiang Province. It employs analytical techniques such as LISA time path, spatio-temporal transition, and standard deviational ellipse to investigate the trends of carbon emissions from 2002 to 2022. Furthermore, it utilizes the GTWR model to evaluate the factors that influence these emissions on a county scale. The findings reveal the following: (1) The LISA time path analysis indicates a pronounced local spatial structure in the distribution of carbon emissions in Zhejiang Province from 2002 to 2022, characterized by increasing stability, notable path dependency, and some degree of spatial integration, albeit with a diminishing trend in overall integration. (2) The LISA spatio-temporal transition analysis indicates significant path dependency or lock-in effects in the county-level spatial clustering of carbon emissions. (3) Over the period 2002–2022, the centroid of carbon emissions in Zhejiang’s counties mainly oscillated between 120°55′15″ E and 120°57′01″ E and between 29°55′52″ N and 29°59′11″ N, with a general northeastward shift forming a “V” pattern. This shift resulted in a stable “northeast–southwest” spatial distribution. (4) Factors such as population size, urbanization rate, and economic development level predominantly accelerate carbon emissions, whereas industrial structure tends to curb them. It is crucial to customize carbon mitigation plans to suit the circumstances of each county. This study provides insight into the spatial and temporal patterns of carbon emissions at the county level in Zhejiang Province. It offers crucial guidance for developing targeted and practical strategies to reduce carbon emissions.

Suggested Citation

  • Xuanli Wang & Huifang Yu & Yiqun Wu & Congyue Zhou & Yonghua Li & Xingyu Lai & Jiahao He, 2024. "Spatio-Temporal Dynamics of Carbon Emissions and Their Influencing Factors at the County Scale: A Case Study of Zhejiang Province, China," Land, MDPI, vol. 13(3), pages 1-25, March.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:381-:d:1358581
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    References listed on IDEAS

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    1. Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi & Jingming Liu, 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province," Energies, MDPI, vol. 10(11), pages 1-16, October.
    2. Shaolong Zeng & Minglin Wang, 2023. "Theoretical and empirical analyses on the factors affecting carbon emissions: case of Zhejiang Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2522-2549, March.
    3. Razzaq, Asif & Sharif, Arshian & Yang, Xiaodong & Dogan, Eyup, 2024. "Influence mechanism of electricity price distortion on industrial green transformation: A spatial analysis of Chinese regions," Energy Economics, Elsevier, vol. 130(C).
    4. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    5. Zepan Li & Zhangwei Lu & Lihua Xu & Yijun Shi & Qiwei Ma & Yaqi Wu & Yu Cao & Boyuan Sheng, 2023. "Examining the Decoupling of Economic Growth with Land Expansion and Carbon Emissions in Zhejiang Province, China," Land, MDPI, vol. 12(8), pages 1-21, August.
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    1. Nan Feng & Mingyue Yan & Mingtao Yan, 2024. "Spatiotemporal Evolution and Influencing Factors of New-Quality Productivity," Sustainability, MDPI, vol. 16(24), pages 1-20, December.
    2. Yuting Lai & Tingting Fei & Chen Wang & Xiaoying Xu & Xinhan Zhuang & Xiang Que & Yanjiao Zhang & Wenli Yuan & Haohao Yang & Yu Hong, 2025. "Energy Carbon Emission Reduction Based on Spatiotemporal Heterogeneity: A County-Level Empirical Analysis in Guangdong, Fujian, and Zhejiang," Sustainability, MDPI, vol. 17(7), pages 1-21, April.

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