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Impact of Carbon Sequestration by Terrestrial Vegetation on Economic Growth: Evidence from Chinese County Satellite Data

Author

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  • Zuoming Zhang

    (School of Accountancy, Wuhan Textile University, Wuhan 430079, China)

  • Xiaoying Wan

    (School of Accountancy, Wuhan Textile University, Wuhan 430079, China)

  • Kaixi Sheng

    (School of Accountancy, Wuhan Textile University, Wuhan 430079, China)

  • Hanyue Sun

    (School of Accountancy, Wuhan Textile University, Wuhan 430079, China)

  • Lei Jia

    (Institute of Agricultural Science and Technology Information, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China)

  • Jiachao Peng

    (School of Law & Business, Wuhan Institute of Technology, Wuhan 430205, China
    Center for High-Quality Collaborative Development of Resources, Environment and Economy, Wuhan Institute of Technology, Wuhan 430205, China)

Abstract

Land vegetation plays an important role in reducing greenhouse gas emissions and stabilizing atmospheric CO 2 concentration. However, the impact of carbon sequestration of terrestrial vegetation on economic growth has not yet been reported in the literature, especially in the context of China’s current high-quality economic development strategy, and clarifying carbon sequestration on high-quality economic development has an important research-support role in achieving the goal of “carbon peak” and “carbon neutral”. Therefore, based on the panel data from 2735 countries and cities in China from 2000 to 2017, this statistical analysis adopts a dual-fixed-effect model to identify the heterogeneous impacts of land-based vegetation carbon sequestration on high-quality urban economic development. The results show that carbon sequestration by terrestrial vegetation has a significant positive impact on economic growth in northeast, central, south, and southwest China but not in north, east, or northwest China, and after a series of stability tests, the effect still holds. Terrestrial vegetation carbon sequestration affects economic growth mainly through upgrades of industrial structures, resource allocation effect, and vegetation coverage. This statistical model further clarifies the empirical evidence provided by vegetation carbon sequestration for high-quality economic development and the economic effects on afforestation and ecological conservation.

Suggested Citation

  • Zuoming Zhang & Xiaoying Wan & Kaixi Sheng & Hanyue Sun & Lei Jia & Jiachao Peng, 2023. "Impact of Carbon Sequestration by Terrestrial Vegetation on Economic Growth: Evidence from Chinese County Satellite Data," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1369-:d:1031960
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    as
    1. Lijing Zhang & Shuke Fu & Jiali Tian & Jiachao Peng, 2022. "A Review of Energy Industry Chain and Energy Supply Chain," Energies, MDPI, vol. 15(23), pages 1-21, December.
    2. Jia, Junsong & Deng, Hongbing & Duan, Jing & Zhao, Jingzhu, 2009. "Analysis of the major drivers of the ecological footprint using the STIRPAT model and the PLS method--A case study in Henan Province, China," Ecological Economics, Elsevier, vol. 68(11), pages 2818-2824, September.
    3. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    4. Syed Amir Manzoor & Aisha Malik & Muhammad Zubair & Geoffrey Griffiths & Martin Lukac, 2019. "Linking Social Perception and Provision of Ecosystem Services in a Sprawling Urban Landscape: A Case Study of Multan, Pakistan," Sustainability, MDPI, vol. 11(3), pages 1-15, January.
    5. Oh, Dong-hyun & Heshmati, Almas, 2010. "A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology," Energy Economics, Elsevier, vol. 32(6), pages 1345-1355, November.
    6. Yiming Hou & Guanwen Yin & Yanbin Chen, 2022. "Environmental Regulation, Financial Pressure and Industrial Ecological Efficiency of Resource-Based Cities in China: Spatiotemporal Characteristics and Impact Mechanism," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    7. Hengfan Lu & Jiachao Peng & Xiangyi Lu, 2022. "Do Factor Market Distortions and Carbon Dioxide Emissions Distort Energy Industry Chain Technical Efficiency? A Heterogeneous Stochastic Frontier Analysis," Energies, MDPI, vol. 15(17), pages 1-22, August.
    8. Hanqin Tian & Chaoqun Lu & Philippe Ciais & Anna M. Michalak & Josep G. Canadell & Eri Saikawa & Deborah N. Huntzinger & Kevin R. Gurney & Stephen Sitch & Bowen Zhang & Jia Yang & Philippe Bousquet & , 2016. "The terrestrial biosphere as a net source of greenhouse gases to the atmosphere," Nature, Nature, vol. 531(7593), pages 225-228, March.
    9. Wong, Zoey & Li, Rongrong & Zhang, Yidie & Kong, Qunxi & Cai, Molly, 2021. "Financial services, spatial agglomeration, and the quality of urban economic growth–based on an empirical analysis of 268 cities in China," Finance Research Letters, Elsevier, vol. 43(C).
    10. Tong-Ping LI & Gu XIAO & Xiao ZHANG, 2020. "An Inquiry into China’s Urbanization Quality in the Era of Urban Society," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 1-20, March.
    11. Qian Zhang & Juqin Shen, 2022. "Spatiotemporal Heterogeneity and Driving Factors of Water Resource and Environment Carrying Capacity under High-Quality Economic Development in China," IJERPH, MDPI, vol. 19(17), pages 1-21, September.
    12. Jiandong Chen & Ping Wang & Ming Gao & Wenxuan Hou & Haiming Liao, 2022. "Carbon sequestration capacity of terrestrial vegetation in China based on satellite data," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 20(1), pages 109-124, January.
    13. Junguo Hua & Di Zhu & Yunfei Jia, 2022. "Research on the Policy Effect and Mechanism of Carbon Emission Trading on the Total Factor Productivity of Agricultural Enterprises," IJERPH, MDPI, vol. 19(13), pages 1-19, June.
    14. Chenery, Hollis B, 1980. "Interactions between Industrialization and Exports," American Economic Review, American Economic Association, vol. 70(2), pages 281-287, May.
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    1. Lin Wang & Junsan Zhao & Fengxia Li & Guoping Chen, 2023. "Spatial Coupling of Carbon Sink Capacity with High-Quality Development Based on Exploitation and Protection Pattern," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    2. Jianlan Su & Qin Long & Shiwen Lin & Zhongyu Hu & Yuxin Zeng, 2024. "Carbon neutralization in Yunnan: harnessing the power of forests to mitigate carbon emissions and promote sustainable development in the Southwest forest area of China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(8), pages 1-36, December.

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