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Land Use Transition and Its Influencing Factors in Poverty-Stricken Mountainous Areas of Sangzhi County, China

Wenhai Xie, Wanfu Jin, Kairui Chen, Jilin Wu and Chunshan Zhou
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Wenhai Xie: School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
Wanfu Jin: School of Geography and Tourism, Guangdong University of Finance and Economics, Guangzhou 510320, China
Kairui Chen: School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
Jilin Wu: School of Civil Engineering and Architecture, Jishou University, Zhangjiajie 427000, China
Chunshan Zhou: School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China

Sustainability, 2019, vol. 11, issue 18, 1-19

Abstract: Previous studies have rarely revealed the characteristics and influencing factors of land use transformation (LUT) in poverty-stricken areas, where multiple actions of cultivated land protection are undertaken. The land use conversion matrix and Spatial Durbin Model were used to analyze the characteristics and influence factors of LUT based on remote sensing interpretation data of Sangzhi County in 2010, 2015, and 2018. The results demonstrate the following: (1) From 2010–2018, cultivated land, forest land, waters, and urban and rural construction land in Sangzhi County increased by 4.91%, 0.03%, 58.99%, and 55.63%, respectively, and grassland decreased by 13.32%. (2) Terrain, territorial, and traffic conditions were common influence factors of the land use type conversion (i.e., forest land to cultivated land, grassland to forest land, cultivated land to forest land, grassland to cultivated land, and cultivated land to urban and rural construction land). The conversion of land use type has a negative effect on the land use type conversion of adjacent townships. Territorial and traffic conditions affect the land use type conversion of adjacent townships. The results illuminate LUT at the township scale in mountainous areas and are beneficial to promoting the sustainable use of land resources and poverty alleviation.

Keywords: land use transformation; influence factors; Spatial Durbin Model (SDM); poverty-stricken mountainous areas; Sangzhi County (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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