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Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China

Author

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  • Sha Chen

    (Research Department of Land Science and Real Estate, Zhejiang University, Hangzhou 310029, China)

  • Guan Li

    (Research Department of Land Science and Real Estate, Zhejiang University, Hangzhou 310029, China)

  • Zhongguo Xu

    (Research Department of Land Science and Real Estate, Zhejiang University, Hangzhou 310029, China)

  • Yuefei Zhuo

    (Research Department of Land Science and Real Estate, Zhejiang University, Hangzhou 310029, China)

  • Cifang Wu

    (Land Academy for National Development (LAND), Zhejiang University, Hangzhou 310029, China)

  • Yanmei Ye

    (Land Academy for National Development (LAND), Zhejiang University, Hangzhou 310029, China
    Laboratory of Rural-Urban Construction Land Economical and Intensive Use, Ministry of Land and Resources, Beijing 100812, China)

Abstract

Water can carry or overturn a boat. Natural resources form the foundation of human survival and development. However, land use change caused by human urban civilization has damaged the natural environment and in turn threatened the continuation of human civilization. Accordingly, it is crucial to analyze the impacts of human activities on land use change and consequent dynamics of ecosystem service value (ESV). For the sustainable development of human beings, an investigation should be conducted to explore what type of land use behavior will be considerably beneficial to improve our relationship with the natural environment. This study analyzes the spatial–temporal dynamics of ESV of 148 counties in the Yangtze River Delta in China over three five-year periods (2000–2015) and examines the influence of socioeconomic forces and policy implications. Exploratory spatial data analysis and spatial regression were applied to facilitate the analysis. Results show that the averages of the ESV change ratios of the 148 counties in each of the aforementioned periods are −0.667%, −2.690%, and −4.668%, respectively. The number of counties that showed an ESV loss trend in the three periods are 72 (48.6%), 125 (84.4%), and 139 (93.9%), respectively. In terms of spatial pattern, ESV change demonstrates the spatial distribution characteristic of “high loss spreading from the northeast to the middle and west” with a tendency to strengthen spatial agglomeration. Results of the spatial regression analysis determine the overwhelming importance of population growth and economic advancement. The results also indicate that the development mode characterized by industrial structure, capital input, and technology upgrades can exert considerable influence on socioeconomic development, thereby affecting the change of ESV. Moreover, the constraints of policy substantially affect the changes of ESV from 2010 to 2015. Policy makers should consider the relationship between land use patterns and the ESV variation in different development stages to formulate appropriate measures, thereby reducing or preventing the loss of ecological service value and promoting sustainable development.

Suggested Citation

  • Sha Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Cifang Wu & Yanmei Ye, 2019. "Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China," Sustainability, MDPI, vol. 11(9), pages 1-22, May.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2622-:d:228843
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    References listed on IDEAS

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    3. Meili Tang & Jia’ni Ding & Haojia Kong & Brandon J. Bethel & Decai Tang, 2022. "Influence of Green Finance on Ecological Environment Quality in Yangtze River Delta," IJERPH, MDPI, vol. 19(17), pages 1-12, August.
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    5. Chengjin He & Huaiyong Shao & Wei Xian, 2022. "Spatiotemporal Variation and Driving Forces Analysis of Eco-System Service Values: A Case Study of Sichuan Province, China," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    6. Wusheng Zhao & Peiji Shi & Ya Wan & Yan Yao, 2023. "Coupling and Coordination Relationship between Urbanization Quality and Ecosystem Services in the Upper Yellow River: A Case Study of the Lanzhou–Xining Urban Agglomeration, China," Land, MDPI, vol. 12(5), pages 1-20, May.

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