北京大学学报（自然科学版）2017，Vol.53Issue(6)：1089-1098,10.DOI:10.13209/j.0479-8023.2017.128
京津冀地区县域人均GDP的空间差异演化及其影响因素
Spatial-temporal Pattern and Causes for GDP per Capita at County Level in Beijing-Tianjin-Hebei Region
摘要
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-Tianjin-Hebei 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 Beijing-Tianjin-Hebei Region further strengthen. Compared with OLS model, the fitting effect of GWR model was improved obviously. The development of GDP per capita in 2013 was mainly promoted by the gross industrial output value per capita, the proportion of value-added of the tertiary industry, the contracted investment actually utilized per capita and urbanization level.关键词
人均GDP/标准差椭圆/地理加权回归/京津冀地区Key words
GDPper capita/standard deviation ellipse/geographic weighted regression/Beijing-Tianjin-Hebei region分类
管理科学引用本文复制引用
唐秀美,郜允兵,刘玉,孙超..京津冀地区县域人均GDP的空间差异演化及其影响因素[J].北京大学学报（自然科学版）,2017,53(6):1089-1098,10.基金项目
国家自然科学基金(41201173,41301093)资助 （41201173,41301093）
