Resources Science ›› 2016, Vol. 38 ›› Issue (8): 1594-1608.doi: 10.18402/resci.2016.08.17

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Spatial differentiation of rural household livelihood capital in metropolitan suburbs based on GWR model:A case study of Qingpu District in Shanghai

REN Guoping1,2(), LIU Liming1(), FU Yonghu1, YUAN Chengcheng1   

  1. 1. College of Resources and Environment,China Agricultural University,Beijing 100193,China
    2. College of Urban Management,Hunan City University,Yiyang 413000,China
  • Received:2015-12-11 Revised:2016-04-22 Online:2016-08-25 Published:2016-08-25


The factors affecting livelihood capital are non-stationary; therefore,a general linear regression model based on the assumption of ‘stationary hypothesis embedding’ is not accurate for the analysis of these factors for farmers. Here,the method of aggregative indicator was used to calculate the total livelihood capital of administrative villages in Qingpu District,then to cluster. We adopted an ordinary least square model(OLS)and geographic weighted regression model (GWR)to examine the spatial differentiation of factors affecting the total livelihood capital of administrative villages. We found that the total livelihood capital and classification distribution of administrative villages has obvious spatial differentiation. Total livelihood capital gradually increased from west to east;the classification of agricultural livelihood capital gradually reduced from west to east;while,the classification of non-agricultural livelihood capital gradually increased from east to west. Results demonstrate that economic and social factors had a larger impact on the total livelihood capital of administrative villages in Qingpu District than geographical and spatial factors. Industrialization degree,GDP per area,distance to center of downtown,urbanization rate,and disposable income of farmer household were positively correlated to variation in livelihood capital. Compared with the traditional ordinary least square model(OLS)based on ‘stationary hypothesis embedding’,the geographical weighted regression model(GWR)was based on ‘non-stationary’ reveals more profound spatial differentiation of factors. These results can provide scientific reference points for the sustainable development of farmer household livelihood and land spatial consolidation in metropolitan suburbs.

Key words: rural household livelihood, spatial differentiation, GWR model, livelihood capital, Qingpu District