The Natural and Socioeconomic Influences on Land-Use Intensity: Evidence from China
Longgao Chen,
Xiaoyan Yang,
Long Li,
Longqian Chen and
Yu Zhang
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Longgao Chen: School of Public Policy & Management, 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
Longqian Chen: School of Public Policy & Management, China University of Mining and Technology, Xuzhou 221116, China
Yu Zhang: Institute of Land Resources, Jiangsu Normal University, Xuzhou 221116, China
Land, 2021, vol. 10, issue 11, 1-25
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.
Keywords: land-use intensity; influence mechanism; multiple linear stepwise regression; China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:10:y:2021:i:11:p:1254-:d:680595
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