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The Natural and Socioeconomic Influences on Land-Use Intensity: Evidence from China

Author

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  • Longgao Chen

    (School of Public Policy & Management, China University of Mining and Technology, Xuzhou 221116, China
    Research Center for Transition Development and Rural Revitalization of Resource-Based Cities in China, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiaoyan Yang

    (Institute of Land Resources, Jiangsu Normal University, Xuzhou 221116, China)

  • Long Li

    (School of Public Policy & Management, China University of Mining and Technology, Xuzhou 221116, China
    Research Center for Transition Development and Rural Revitalization of Resource-Based Cities in China, China University of Mining and Technology, Xuzhou 221116, China
    Department of Geography & Earth System Science, Vrije Universiteit Brussel, 1050 Brussels, Belgium)

  • Longqian Chen

    (School of Public Policy & Management, China University of Mining and Technology, Xuzhou 221116, China
    Research Center for Transition Development and Rural Revitalization of Resource-Based Cities in China, China University of Mining and Technology, Xuzhou 221116, China)

  • Yu Zhang

    (Institute of Land Resources, Jiangsu Normal University, Xuzhou 221116, China)

Abstract

Intensive land use can support sustainable socioeconomic development, especially in the context of limited land resources and high population. It is measured by land-use intensity that reflects the degree of land-use efficiency. In order to support decision-making for efficient land use, we investigated the mechanism whereby natural and socioeconomic factors influence land-use intensity from the perspectives of overall, region-, and city-based analysis, respectively. This investigation was conducted in Chinese cities using the multiple linear stepwise regression method and geographic information system techniques. The results indicate that: (1) socioeconomic factors have more positive impact on land-use intensity than natural factors as nine of the top 10 indicators with the highest SRC values are in the socioeconomic category according to the overall assessment; (2) education input variously contributes to land-use intensity because of the mobility of a well-educated workforce between different cities; (3) the increase in transportation land may not promote intensive land use in remarkably expanding cities due to the defective appraisal system for governmental achievements; and that (4) in developed cities, economic structure contributes more to land-use intensity than the total economic volume, whereas the opposite is the case in less-developed cities. This study can serve as a guide for the government to prepare strategies for efficient land use, hence promoting sustainable socioeconomic development.

Suggested Citation

  • Longgao Chen & Xiaoyan Yang & Long Li & Longqian Chen & Yu Zhang, 2021. "The Natural and Socioeconomic Influences on Land-Use Intensity: Evidence from China," Land, MDPI, vol. 10(11), pages 1-25, November.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1254-:d:680595
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    References listed on IDEAS

    as
    1. Zhiru Tan & Donglan Wei & Zixu Yin, 2020. "Housing Vacancy Rate in Major Cities in China: Perspectives from Nighttime Light Data," Complexity, Hindawi, vol. 2020, pages 1-12, September.
    2. Cheng, Jing, 2021. "Analysis of commercial land leasing of the district governments of Beijing in China," Land Use Policy, Elsevier, vol. 100(C).
    3. Jing Huang & Dongqian Xue, 2019. "Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    4. Lee, Jongpyo & Jung, Sanghoon, 2020. "Industrial land use planning and the growth of knowledge industry: Location pattern of knowledge-intensive services and their determinants in the Seoul metropolitan area," Land Use Policy, Elsevier, vol. 95(C).
    5. Yunfei Peng & Fangling Yang & Lingwei Zhu & Ruru Li & Chao Wu & Deng Chen, 2021. "Comparative Analysis of the Factors Influencing Land Use Change for Emerging Industry and Traditional Industry: A Case Study of Shenzhen City, China," Land, MDPI, vol. 10(6), pages 1-17, May.
    6. Pawan Thapa, 2022. "The Relationship between Land Use and Climate Change: A Case Study of Nepal," Chapters, in: Stuart Arthur Harris (ed.), The Nature, Causes, Effects and Mitigation of Climate Change on the Environment, IntechOpen.
    7. Jingyi Wang & Kaisi Sun & Jiupai Ni & Deti Xie, 2020. "Evaluation and Factor Analysis of the Intensive Use of Urban Land Based on Technical Efficiency Measurement—A Case Study of 38 Districts and Counties in Chongqing, China," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    8. Jinyu Zang & Ting Zhang & Longqian Chen & Long Li & Weiqiang Liu & Lina Yuan & Yu Zhang & Ruiyang Liu & Zhiqiang Wang & Ziqi Yu & Jia Wang, 2021. "Optimization of Modelling Population Density Estimation Based on Impervious Surfaces," Land, MDPI, vol. 10(8), pages 1-17, July.
    9. Hualin Xie & Jinlang Zou & Hailing Jiang & Ning Zhang & Yongrok Choi, 2014. "Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis," Sustainability, MDPI, vol. 6(6), pages 1-17, May.
    10. Bai, Xuejie & Sun, Xianzhen & Chiu, Yung-Ho, 2020. "Does China's higher education investment play a role in industrial growth?," Technology in Society, Elsevier, vol. 63(C).
    11. Erb, Karl-Heinz & Haberl, Helmut & Jepsen, Martin Rudbeck & Kuemmerle, Tobias & Lindner, Marcus & Müller, Daniel & Verburg, Peter H & Reenberg, Anette, 2013. "A conceptual framework for analysing and measuring land-use intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 464-470.
    12. Jia, Mengyuan & Liu, Yan & Lieske, Scott N. & Chen, Tian, 2020. "Public policy change and its impact on urban expansion: An evaluation of 265 cities in China," Land Use Policy, Elsevier, vol. 97(C).
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