Spatial-temporal Pattern and Causes for GDP per Capita at County Level in Beijing-tianjin-hebei Region

TANG Xiumei1,2,3,4, GAO Yunbing1,2,3,4, LIU Yu1,2,3,4,†, SUN Chao1,2,3,4

ACTA Scientiarum Naturalium Universitatis Pekinensis - - News -

1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097; 2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097; 3. Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097; 4. Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097; † Corresponding author, E-mail: liuyu@nercita.org.cn

Abstract Taking 171 counties of Beijing-tiajin-hebei Region as research units, based on spatial analysis model of GIS and geographic weighted regression model, the spatial-temporal characteristics of GDP per capita and its cause in 1993 2013 were revealed. Results were as follows. GDP per capita in the Beijing-tianjin-hebei Region at county level showed rapid growth trend with expanding difference; GDP per capita at county level showed a significant positive correlation, that is to say, the pattern of high-high concentration and low-low concentration was enhanced. Beijing-tianjin-tangshan Region was always the hot economic development zone in Beijing-tianjinhebei Region, the GDP per capita of most counties in Hebei Province was at low level, and cold economic development belt of “Laiyuan County-gaoyang County-wuyi County-zaoqiang Qiu County” was gradually formed. GDP per capita at county level showed spatial pattern of “northeast-southwest”, and the overall trend was enhanced. Wen’an County was the core of GDP per capita gravity, and the centre of economic gravity moved southwest firstly and then northeast, indicating that the economic development function in the northeast of Beijingtianjin-hebei Region further strengthen. Compared with OLS model, the fitting effect of GWR model was

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