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Spatiotemporal Evolution and Influencing Factors of Carbon Sink Dynamics at County Scale: A Case Study of Shaanxi Province, China

Author

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  • Shuohua Liu

    (College of Economics and Management, Northwest A&F University, Xianyang 712100, China
    Center for Resource Economics and Environment Management, Northwest A&F University, Xianyang 712100, China)

  • Xiao Zhang

    (College of Economics and Management, Northwest A&F University, Xianyang 712100, China
    Center for Resource Economics and Environment Management, Northwest A&F University, Xianyang 712100, China)

  • Yifan Zhou

    (College of Economics and Management, Hebei Agricultural University, Baoding 071000, China)

  • Shunbo Yao

    (College of Economics and Management, Northwest A&F University, Xianyang 712100, China
    Center for Resource Economics and Environment Management, Northwest A&F University, Xianyang 712100, China)

Abstract

To explore the spatiotemporal evolution of carbon sinks in Shaanxi Province, and their impact mechanisms, this study used panel data from 107 counties (districts) in Shaanxi Province from 2000 to 2017. First, we conducted spatial distribution directional analysis and exploratory spatial data analysis (ESDA). Then, we constructed a geographic spatial weight matrix and used the spatial panel Durbin model to analyze the driving factors of carbon sink changes in Shaanxi Province, from the perspective of spatial effects. The results showed that: (1) The temporal evolution of carbon sinks during the study period showed an overall upward trend, but the carbon sinks of counties (districts) differed greatly, and the center of gravity of carbon sinks, as a whole, showed the characteristics of “south to north” migration. (2) The carbon sinks of Shaanxi Province have a significant positive global spatial autocorrelation in geographic space. The local spatial pattern was characterized by low-value agglomeration (low-low cluster) and high-value agglomeration (high-high cluster), supplemented by high-value bulge (high-low outlier) and low-value collapse (low-high outlier). (3) The result of the spatial measurement model proved that the spatial Durbin model, with dual fixed effects of time and space, should be selected. In the model results, factors such as population, per capita gross domestic product (GDP), local government general budget expenditure, and local government general budget revenue all reflect strong spatial spillover effects. Accordingly, in the process of promoting “carbon neutrality”, the government needs to comprehensively consider the existence of spatial spillover effects between neighboring counties (districts), and strengthen the linkage-management and control roles of counties (districts) in increasing carbon sinks.

Suggested Citation

  • Shuohua Liu & Xiao Zhang & Yifan Zhou & Shunbo Yao, 2021. "Spatiotemporal Evolution and Influencing Factors of Carbon Sink Dynamics at County Scale: A Case Study of Shaanxi Province, China," IJERPH, MDPI, vol. 18(24), pages 1-18, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13081-:d:700110
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    References listed on IDEAS

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    1. Chen, Jiandong & Xu, Chong & Wang, Yuzhi & Li, Ding & Song, Malin, 2021. "Carbon neutrality based on vegetation carbon sequestration for China's cities and counties: Trend, inequality and driver," Resources Policy, Elsevier, vol. 74(C).
    2. Yu, Nannan & de Jong, Martin & Storm, Servaas & Mi, Jianing, 2013. "Spatial spillover effects of transport infrastructure: evidence from Chinese regions," Journal of Transport Geography, Elsevier, vol. 28(C), pages 56-66.
    3. Fengsong Pei & Rui Zhong & Li-An Liu & Yingjuan Qiao, 2021. "Decoupling the Relationships between Carbon Footprint and Economic Growth within an Urban Agglomeration—A Case Study of the Yangtze River Delta in China," Land, MDPI, vol. 10(9), pages 1-15, September.
    4. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    5. Lian Pin Koh & Yiwen Zeng & Tasya Vadya Sarira & Kelly Siman, 2021. "Carbon prospecting in tropical forests for climate change mitigation," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    6. Alexander Popp & Florian Humpenöder & Isabelle Weindl & Benjamin Leon Bodirsky & Markus Bonsch & Hermann Lotze-Campen & Christoph Müller & Anne Biewald & Susanne Rolinski & Miodrag Stevanovic & Jan Ph, 2014. "Land-use protection for climate change mitigation," Nature Climate Change, Nature, vol. 4(12), pages 1095-1098, December.
    7. Ryan Hanna & Ahmed Abdulla & Yangyang Xu & David G. Victor, 2021. "Emergency deployment of direct air capture as a response to the climate crisis," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    8. Liu, Xin & Wang, Ping & Song, Hang & Zeng, Xiaoying, 2021. "Determinants of net primary productivity: Low-carbon development from the perspective of carbon sequestration," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    9. Andrew Macintosh & Heather Keith & David Lindenmayer, 2015. "Rethinking forest carbon assessments to account for policy institutions," Nature Climate Change, Nature, vol. 5(10), pages 946-949, October.
    10. Rulong Zhuang & Kena Mi & Zhangwei Feng, 2021. "Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    11. Yisheng Peng & Jiahui Liu & Tianyao Zhang & Xiangyang Li, 2021. "The Relationship between Urban Population Density Distribution and Land Use in Guangzhou, China: A Spatial Spillover Perspective," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
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    1. Zhao, Na & Wang, Keqing & Yuan, Yongna, 2023. "Toward the carbon neutrality: Forest carbon sinks and its spatial spillover effect in China," Ecological Economics, Elsevier, vol. 209(C).

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