Trends, Drivers, and Land Use Strategies for Facility Agricultural Land during the Agricultural Modernization Process: Evidence from Huzhou City, China
Yun Chen,
Zhifeng Wang,
Kaijiang You,
Congmou Zhu,
Ke Wang,
Muye Gan and
Jing Zhang ()
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Yun Chen: Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Zhifeng Wang: Natural Resources Collection Center in Zhejiang Province, Department of Natural Resources of Zhejiang Province, Hangzhou 310007, China
Kaijiang You: Natural Resources Collection Center in Zhejiang Province, Department of Natural Resources of Zhejiang Province, Hangzhou 310007, China
Congmou Zhu: School of Public Affairs, Zhejiang Gongshang University, Hangzhou 310018, China
Ke Wang: Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Muye Gan: Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Jing Zhang: Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Land, 2024, vol. 13, issue 4, 1-21
Abstract:
Facility agriculture is an important initiative to adopt an all-encompassing approach to food and build a diversified food supply system. Understanding the evolution of facility agricultural land and the factors that drive it can contribute to the development of scientifically strategic agricultural planning and agricultural modernization. Therefore, this paper constructs a “situation-structure-behavior-value” theoretical framework; quantifies the relevant driving factors (physical, proximal, and socioeconomic) and their impacts on the development and layout of facility agriculture land by using a multivariate logistic regression model; and provides a strategy for optimizing land use. The results showed that the area of facility agriculture in Huzhou is rapidly expanding. Regarding drivers, facility agricultural land tends to be located in areas with higher slopes according to plot selection. Facility agriculture is more likely to develop in plots with convenient transportation and closer proximity to markets. At the economic level, economic efficiency, agricultural resource superiority, and policies significantly impact facility agriculture expansion. Finally, we propose three land use policy options to facilitate the sustainable development of facility agriculture. This study elucidates the underlying factors driving different types of facility agricultural land and offers methodological guidance for policy support, planning, control, and optimization strategies for facility agriculture.
Keywords: facility agricultural land; spatiotemporal dynamics; multilevel analysis; situation-structure-behavior-value (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:13:y:2024:i:4:p:543-:d:1378478
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