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Study on the Measures for Optimizing China’s Provincial Territorial Space Based on the Perspective of Resource and Environmental Carrying Capacity in the New Situation

Author

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  • Chong Wu

    (College of Architecture and Urban Planning, Guizhou University, Guiyang 550025, China)

  • An-ding Jiang

    (Department of Low Carbon Research Center, Shaanxi Provincial Academy of Environmental Science, Xi’an 710000, China)

  • Wenlong Zheng

    (School of Economics and Management, Chang’an University, No. 161, Chang’an Road, Xi’an 710061, China)

Abstract

The comprehensive resource and environment carrying capacity (RECC) evaluation is an important method for measuring the rationality of the population, resource, and environment allocation, which is an important scientific guidance for scientific research and the judgment of regional economic and social development potential and the optimization of the national land spatial pattern. This paper constructs a comprehensive evaluation index system of the RECC under the new situation of climate policy and high-quality economic development; it analyzes the factors influencing the RECC, the overall level, the spatial difference, and the carrying status by using the TOPSIS model based on the entropy weight method, and it identifies the shortcomings; then, it analyzes the characteristics of regional dynamic change and sustainable development trend, and finally, it simulates the optimal spatial pattern under the scenario simulated by the FLUS model. The conclusions are as follows: ① the resource factors have the greatest influence on the carrying capacity of the resources and the environment, followed by economic factors. Among them, per capita water resources, forest coverage rate, and health institutions have the highest impact on RECC. ② The overall level of comprehensive RECC from 2015 to 2020 shows an upward trend, and although the positive impact of resource-led provinces on the level of economic development power and RECC is greater than the negative one, the environmental support is the shortcoming of the future development of the regional economy. ③ The overall spatial performance of RECC is characterized as being high in Guanzhong, second in northern Shaanxi, and low in southern Shaanxi. The northern area of Yulin in the Guanzhong Plain City Cluster, which is an important national energy chemical base, is the core of the national-level urbanization development areas, and the northern area of the Guanzhong Plain City Cluster is the key choice of the provincial-level urbanization development areas. The area along the west bank of the Yellow River in the Qinba Mountain area in southern Shaanxi and the Baiyu Mountain area in northern Shaanxi can be positioned as national key ecological function areas.

Suggested Citation

  • Chong Wu & An-ding Jiang & Wenlong Zheng, 2022. "Study on the Measures for Optimizing China’s Provincial Territorial Space Based on the Perspective of Resource and Environmental Carrying Capacity in the New Situation," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13754-:d:951448
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    References listed on IDEAS

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    1. Maleki, Jamshid & Masoumi, Zohreh & Hakimpour, Farshad & Coello Coello, Carlos A., 2020. "A spatial land-use planning support system based on game theory," Land Use Policy, Elsevier, vol. 99(C).
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    4. Shen, Liyin & Cheng, Guangyu & Du, Xiaoyun & Meng, Conghui & Ren, Yitian & Wang, Jinhuan, 2022. "Can urban agglomeration bring “1 + 1 > 2Effect”? A perspective of land resource carrying capacity," Land Use Policy, Elsevier, vol. 117(C).
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    Cited by:

    1. Xiaoyan Bu & Xiaomin Wang & Jiarui Wang & Ge Shi, 2023. "A Study on Resource Carrying Capacity and Early Warning of Urban Agglomerations of the Yellow River Basin Based on Sustainable Development Goals, China," Sustainability, MDPI, vol. 15(19), pages 1-20, October.
    2. Huaiyin Jiang & Gang He, 2023. "Analysis of Spatial and Temporal Evolution of Regional Water Resources Carrying Capacity and Influencing Factors—Anhui Province as an Example," Sustainability, MDPI, vol. 15(14), pages 1-19, July.

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