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Coupling between Rural Development and Ecosystem Services, the Case of Fujian Province, China

Author

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  • Huaxiang Chen

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Lina Tang

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Quanyi Qiu

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Tong Wu

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Ziyan Wang

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Su Xu

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Lishan Xiao

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

Abstract

To reveal the relationship between rural development and ecosystem services and to assist in efforts to balance these factors, we used a coupling model to carry out a study of the relationship between rural development and ecosystem services in Fujian Province of China during the years 2000 to 2015. First, we characterized the degree of rural development for each county in the province by calculating its index of relative rurality (IRR) and classified the counties into rural development types. Second, we calculated the values of three ecosystem services (ES) and overlapped them to get the sum of ES for each county. Third, we calculated the coupling and coupling coordination degree and analyzed the correlation between IRR and ES in the study area. The results showed that the mean value of IRR declined over the study period, was positively correlated with ES, and the correlation degree increased year by year. Meanwhile the degree of coupling was in the antagonistic stage, but tended to run in stage with a highly coordinated stage coupling coordination degree, if the business services type-counties were excluded. Although the overall coupling coordination degree was high, it declined yearly, which meant that rural development and ecosystem services increasingly lacked coordination. This paper supports and verifies some achievements of rural development programs in the research area, provides theoretical and decision-making support for coordinated rural development and ecosystem services protection in China, and provides a regional case study that could assist with similar research in other countries.

Suggested Citation

  • Huaxiang Chen & Lina Tang & Quanyi Qiu & Tong Wu & Ziyan Wang & Su Xu & Lishan Xiao, 2018. "Coupling between Rural Development and Ecosystem Services, the Case of Fujian Province, China," Sustainability, MDPI, vol. 10(2), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:524-:d:132036
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    References listed on IDEAS

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    1. Salvati, Luca & Carlucci, Margherita, 2011. "The economic and environmental performances of rural districts in Italy: Are competitiveness and sustainability compatible targets?," Ecological Economics, Elsevier, vol. 70(12), pages 2446-2453.
    2. Waldorf, Brigitte S., 2006. "A Continuous Multi-dimensional Measure of Rurality: Moving Beyond Threshold Measures," 2006 Annual meeting, July 23-26, Long Beach, CA 21383, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Edward W. Hill & John F. Brennan, 2000. "A Methodology for Identifying the Drivers of Industrial Clusters: The Foundation of Regional Competitive Advantage," Economic Development Quarterly, , vol. 14(1), pages 65-96, February.
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    Cited by:

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    2. Yujing Zhao & Hong Leng & Pingjun Sun & Qing Yuan, 2018. "A Spatial Zoning Model of Municipal Administrative Areas Based on Major Function-Oriented Zones," Sustainability, MDPI, vol. 10(9), pages 1-25, August.
    3. Huaxiang Chen & Lina Tang & Quanyi Qiu & Baosheng Wang & Weixiang Hu, 2020. "Spatial Trade-Offs and Temporal Evolution of Multiple Ecosystem Services in a Marine-Terrestrial Urban-Agglomeration Zone," IJERPH, MDPI, vol. 17(4), pages 1-18, February.

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