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Spatial Transformation Characteristics and Conflict Measurement of Production-Living-Ecology: Evidence from Urban Agglomeration of China

Author

Listed:
  • Yu Chen

    (School of Economics and Management, Zhengzhou University of Light Industry, Science Avenue 136, Zhengzhou 450000, China)

  • Xuyang Su

    (School of Economics and Management, Zhengzhou University of Light Industry, Science Avenue 136, Zhengzhou 450000, China)

  • Xuekai Wang

    (National Academy of Economic Strategy, Chinese Academy of Social Sciences, No.1 Dongchanghutong, Beijing 100006, China)

Abstract

The land development by human beings has changed from the initial small-scale and low-level transformation to the comprehensive utilization of large-scale and high-intensity implementations. The contradiction between production-living-ecology space (PLES) has become increasingly prominent while drawing land dividends. As one of the important birthplaces of Chinese civilization and the ecological barrier in the northern region, the rapid urbanization and industrialization of the Yellow River Basin (YRB) make the ecological environment very fragile, and the imbalance of land and space development is extremely serious. Therefore, according to the multifunctional characteristics of land use, this paper establishes a classification system of production space (PS), living space (LS) and ecology space (ES), and discusses the spatiotemporal evolution and conflict distribution characteristics of the PLES with the help of the transfer matrix and spatial conflict index (SCI). The results are as follows. In 1990–2020, agricultural production space (APS), grassland ecology space (GES) and other ecology space (OES) yielded the largest proportion of PLES in the YRB. However, compared with 1990, the area of these spatial types decreased in 2020, while the urban living space (ULS) expanded rapidly. The distribution pattern of PLES was generally consistent, and the transformation between PLES in Ningxia, central Inner Mongolia, Loess Plateau and downstream areas was relatively intense. The conflict index of PLES showed an upward trend, but it was generally in a controllable range. The stable and controllable areas were concentrated in the upstream of the urban agglomeration, and the midstream and downstream were basic out of control and seriously out of control, respectively.

Suggested Citation

  • Yu Chen & Xuyang Su & Xuekai Wang, 2022. "Spatial Transformation Characteristics and Conflict Measurement of Production-Living-Ecology: Evidence from Urban Agglomeration of China," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1458-:d:736097
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    References listed on IDEAS

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    Cited by:

    1. Tao Hong & Ningli Liang & Haomeng Li, 2023. "Study on the Spatial and Temporal Evolution Characteristics and Driving Factors of the “Production–Living–Ecological Space” in Changfeng County," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
    2. Yu Chen & Shuangshuang Liu & Wenbo Ma & Qian Zhou, 2023. "Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin," IJERPH, MDPI, vol. 20(4), pages 1-26, February.
    3. Zidao Lu & Maomao Zhang & Chunguang Hu & Lianlong Ma & Enqing Chen & Cheng Zhang & Guozhen Xia, 2024. "Spatiotemporal Changes and Influencing Factors of the Coupled Production–Living–Ecological Functions in the Yellow River Basin, China," Land, MDPI, vol. 13(11), pages 1-24, November.
    4. Guangliang Zhou & Di Zhang & Qian Zhou & Tao Shi, 2022. "Study on the Spatiotemporal Evolution Characteristics of the “Production–Living–Ecology” Space in the Yellow River Basin and Its Driving Factors," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    5. Tianjiao Zhang & Cuifang Zhang & Qian Wang & Chuanhao Yang & Jin Zhang & Chenxuan Zhang & Qipeng Zhang, 2024. "Research on Sustainable Land Use in Alpine Meadow Region Based on Coupled Coordination Degree Model—From Production–Living–Ecology Perspective," Sustainability, MDPI, vol. 16(12), pages 1-17, June.

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