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Research on Spatio-Temporal Pattern Evolution and the Coupling Coordination Relationship of Land-Use Benefit from a Low-Carbon Perspective: A Case Study of Fujian Province

Author

Listed:
  • Daichao Li

    (The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China)

  • Kunkun Fan

    (The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China)

  • Jiaqi Lu

    (The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China)

  • Sheng Wu

    (The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China)

  • Xiaowei Xie

    (The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350116, China)

Abstract

To accelerate the ecological civilization in the new era and coordinate the region’s ecological economic growth, land-use benefit pre-evaluations and coordination analyses must be carried out. These should be based on a land-use structure layout that is low-carbon oriented to ensure the land is utilized efficiently and sustainably. This paper studies Fujian Province, the national ecological civilization test area, and constructs a framework for land-use benefit evaluation and coupling coordination relationship analysis based on land-use structure from the low-carbon perspective. Based on land-use status data from 2000 to 2020, land-use simulation data under two development scenarios in 2030, and accounting for the different types of main functional areas, this paper establishes the land-use benefit evaluation model. The model uses aspects of carbon emission benefit, economic benefit, and ecological benefit to calculate the land-use benefit of counties (cities and districts) in Fujian Province from 2000 to 2030 by combining with the grey prediction model. The coupling coordination degree model is used to explore the coordination relationship between the above three types of benefits in different districts and counties in 2030 and to identify the main factors restricting the improvement of coupling coordination relationships in different regions in the future. The following results are found: (1) From the perspective of land-use efficiency, the coupling and coordination of land-use efficiency and benefits of counties (cities and districts) in Fujian Province continued to rise from 2000 to 2030 under the low-carbon development scenario, and the spatial agglomeration characteristics were obvious. By 2030, the coupling and coordination relationship of regional land-use efficiency was gradually optimized, and the development pattern with the Fuzhou metropolitan area and Xiamen-Zhangquan metropolitan area as the core was formed. (2) From the perspective of restrictive factors of land-use efficiency coupling coordination, the improvement of land-use efficiency coupling coordination relationship in each county (city and district) is affected by multiple factors. The influence degree is economic benefit > ecological benefit > carbon emissions. These results will help to promote the efficient and sustainable use of land resources and realize the comprehensive and coordinated development of a low-carbon economy and society.

Suggested Citation

  • Daichao Li & Kunkun Fan & Jiaqi Lu & Sheng Wu & Xiaowei Xie, 2022. "Research on Spatio-Temporal Pattern Evolution and the Coupling Coordination Relationship of Land-Use Benefit from a Low-Carbon Perspective: A Case Study of Fujian Province," Land, MDPI, vol. 11(9), pages 1-24, September.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1498-:d:908546
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    References listed on IDEAS

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    1. Costanza, Robert & d'Arge, Ralph & de Groot, Rudolf & Farber, Stephen & Grasso, Monica & Hannon, Bruce & Limburg, Karin & Naeem, Shahid & O'Neill, Robert V. & Paruelo, Jose, 1998. "The value of the world's ecosystem services and natural capital," Ecological Economics, Elsevier, vol. 25(1), pages 3-15, April.
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    Cited by:

    1. Guo Cai & Yuying Lin & Fazi Zhang & Shihe Zhang & Linsheng Wen & Baoyin Li, 2022. "Response of Ecosystem Service Value to Landscape Pattern Changes under Low-Carbon Scenario: A Case Study of Fujian Coastal Areas," Land, MDPI, vol. 11(12), pages 1-23, December.
    2. Fei Shi & Yuanyuan Lu & Longgao Chen & Wei-Ling Hsu, 2023. "Evaluation of the Sustainable Use of Land Resources in the Cities along the Jiangsu Section of the Beijing–Hangzhou Grand Canal," Land, MDPI, vol. 12(6), pages 1-20, June.
    3. Shuping Fan & Boping Yu & Juan Yue & Yishi Mi & Jiaru Cheng & Ran Yu & Xingwu Xi, 2023. "A Study on the Measurement of Comparative Advantage of Land Use Efficiency, Spatiotemporal Heterogeneity and Its Influencing Factors—An Empirical Test from the Panel Data of China’s Provincial Sub-Ind," Sustainability, MDPI, vol. 15(9), pages 1-27, April.
    4. Luo, Haizhi & Wang, Chenglong & Li, Cangbai & Meng, Xiangzhao & Yang, Xiaohu & Tan, Qian, 2024. "Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China," Applied Energy, Elsevier, vol. 360(C).
    5. Shu Wang & Fenglian Liu, 2023. "Spatiotemporal Evolution of Land Use Efficiency in Southwest Mountain Area of China: A Case Study of Yunnan Province," Agriculture, MDPI, vol. 13(7), pages 1-24, July.

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