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Changes and Driving Forces of Urban–Agricultural–Ecological Space in the Yangtze River Economic Belt from 2000 to 2020

Author

Listed:
  • Junnan Xia

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Mengyao Hong

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Wei Wei

    (School of Urban Design, Wuhan University, Wuhan 430072, China
    China Institute of Development Strategy and Planning, Wuhan University, Wuhan 430072, China)

Abstract

Optimizing the urban–agricultural–ecological space in the Yangtze River Economic Belt is integral to China’s sustainable land development and protection. Based on land use data from 2000 to 2020, this study identified the urban-agricultural-ecological space in the Yangtze River Economic Belt. It analyzed its changes and driving forces using the land use transfer matrix, the Dagum Gini coefficient, and GeoDetector. The results show that urban space has increased significantly over the past 20 years, agricultural space has decreased dramatically, and ecological space has remained stable. The transformation of agricultural space into urban space was the dominant type of space transformation, followed by a mutual transformation between agricultural and ecological spaces. Each transformation type exhibited significant spatial inequality within and between regions. Socioeconomic and natural conditions significantly impacted the spatial transformation, and all factors have an apparently interactive reinforcing effect. The research has enhanced the identification accuracy of urban–agricultural–ecological spaces, precisely illustrating the changes and driving forces of the land spatial pattern in the Yangtze River Economic Belt over the last two decades. It holds vital theoretical and practical implications for the optimization of China’s land spatial pattern.

Suggested Citation

  • Junnan Xia & Mengyao Hong & Wei Wei, 2023. "Changes and Driving Forces of Urban–Agricultural–Ecological Space in the Yangtze River Economic Belt from 2000 to 2020," Land, MDPI, vol. 12(5), pages 1-17, May.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:1014-:d:1139808
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    References listed on IDEAS

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    1. Chao Xuan & Xin Chen, 2020. "City Size Distribution, Export-Oriented Economies, and Regional Technical Efficiency: The Case of China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(7), pages 1474-1489, May.
    2. Han Huang & Yang Zhou & Mingjie Qian & Zhaoqi Zeng, 2021. "Land Use Transition and Driving Forces in Chinese Loess Plateau: A Case Study from Pu County, Shanxi Province," Land, MDPI, vol. 10(1), pages 1-15, January.
    3. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    4. Wu, Fulong, 2022. "Land financialisation and the financing of urban development in China," Land Use Policy, Elsevier, vol. 112(C).
    5. Jiang, Yanan & Guan, Dongjie & He, Xiujuan & Yin, Boling & Zhou, Lilei & Sun, Lingli & Huang, Danan & Li, Zihui & Zhang, Yanjun, 2022. "Quantification of the coupling relationship between ecological compensation and ecosystem services in the Yangtze River Economic Belt, China," Land Use Policy, Elsevier, vol. 114(C).
    6. Chong Zhao & Pengnan Xiao & Peng Qian & Jie Xu & Lin Yang & Yixiao Wu, 2022. "Spatiotemporal Differentiation and Balance Pattern of Ecosystem Service Supply and Demand in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(12), pages 1-20, June.
    7. Li, Yurui & Li, Yi & Karácsonyi, Dávid & Liu, Zhengjia & Wang, Yongsheng & Wang, Jieyong, 2020. "Spatio-temporal pattern and driving forces of construction land change in a poverty-stricken county of China and implications for poverty-alleviation-oriented land use policies," Land Use Policy, Elsevier, vol. 91(C).
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