Comparative Changes of Influence Factors of Rural Residential Area Based on Spatial Econometric Regression Model: A Case Study of Lishan Township, Hubei Province, China

Xuesong Zhang, Ju He, Zhen Deng, Jiyue Ma, Guangping Chen, Maomao Zhang and Deshou Li
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Xuesong Zhang: The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
Ju He: The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
Zhen Deng: The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
Jiyue Ma: The College of Foreign Languages, Zhongnan University of Economics and Law, Wuhan 430073, China
Guangping Chen: The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
Maomao Zhang: The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
Deshou Li: The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China

Sustainability, 2018, vol. 10, issue 10, 1-14

Abstract: The influencing factors of rural residential areas have always been a key research direction in addressing rural problems in China. By introducing a spatial regression model combined with Kernel Density Estimation and Buffer Analysis, this study made a comparative study on the quantification of the influencing factors of rural residential areas in 2009, 2012, and 2015 in Lishan Township, Hubei Province, China. The results showed that the elevation and slope of Lishan Township have always played a decisive role in the distribution of rural residential areas, that the influence of the water system is abnormal, and that the influence of roads and townships has been strengthened based on the spatial statistical analysis. Then, based on spatial econometric regression analysis, the coefficients of “Topographic indices” (CTI) were 0.666, 0.719, and 0.439 in 2009, 2012, and 2015, respectively. The coefficients of Road (CR) were 0.170, 0.112, and 0.108, respectively. The coefficients of Town (CT) were 0.120, 0.127, and 0.166, respectively. The coefficients of Water system (CWS) were 0.166, 0.124, and 0.173, respectively. With the change of time, the influence of road decreased and the influence of town increased gradually. Furthermore, the influence of the water system and topography showed volatility.

Keywords: spatial analysis; GIS; SEM; rural residential areas; influence factors; comparative study (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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