中国地级及以上城市GDP含金量时空分异格局  

Spatiotemporal Pattern of Gold Content of GDP at Prefecture Level or Cities Above in China

作　　者：潘竟虎[1] 

机构地区：[1]西北师范大学地理与环境科学学院,甘肃兰州730070

出　　处：《地理科学》2015年第12期1502-1510,共9页Scientia Geographica Sinica

基　　金：国家自然科学基金(41361040;41271184);西北师范大学青年教师科研能力提升计划项目(SKQNYB12021)资助

摘　　要：利用ESDA-GIS、空间变异函数、重心迁移与趋势面分析等方法,对2001年和2011年全国343个地级及以上城市GDP含金量的空间分异格局、总体趋势、空间异质性和相关性进行研究。结果表明:中国地级单元GDP含金量空间分异显著,呈现出西部>东部>中部、北方>南方>中部的趋势,具有全局正相关关系。10 a间,GDP含金量的重心向东南方向迁移;黄河以北和长江以南区域的含金量显著减小,而东部沿海和西部沿边地带的含金量显著扩大;GDP含金量的冷点区大幅扩张而热点区大幅收缩。产业结构、居民收入来源、城镇化水平、人力资本存量和初次分配结构是影响GDP含金量的主要因素。Gold content of GDP is an international general index to reflect the improvement of people＇s livelihood. For decades China＇s GDP and per capita GDP have been growing rapidly. However, the cost of high growth in GDP including the waste of resources, environmental pollution, urban-rural income gap, slowly rise of living standard and so on.The fundamental goal of economic growth is human all-round development. There will be real meaning that economic growth must be translated into upgrading the level of benefits of the overwhelming majority of residents. Only a reasonable income vs. GDP ratio can have reference value for the economy at large. Taking the gold content of GDP as the measuring indicator, this article analyses the global trends,spatial heterogeneities and correlations of gold content of GDP for 343 cities at the prefecture level or above with panel data in 2001 and 2011 with exploratory spatial data analysis methods, of Moran＇s I and Getis-Ord Gi＊, whereby the significance of spatial interactions and geographical location was investigated. Semi-variant function, gravity center migration and trend surface analysis was used to explore the spatiotemporal spatial patterns of the gold content of GDP over the 10 years with the application of Arc GIS10.0 and Geo Da095 i. Influencing factors of gold content of GDP were tried to summarize. The results show as following：The spatial difference of gold content of GDP is significantly, showing a trend of the western Chinathe eastern China the middle China, and the Norththe Souththe Central. The calculate result of Moran＇s I shows that the density of gold content of GDP at prefecture level or above cities in China has a growing global spatial autocorrelation characteristic, regional disparities trend of gold content of GDP is more and more obvious. The gravity center of gold content of GDP had moved southeast on the whole from 2001 to 2011. The north of the Yellow River and the south of the Changjiang River are the significantly reduced area in gold conten

关 键 词：GDP含金量 ESDA-GIS 时空分异 半变异函数 中国 

分 类 号：F127[经济管理—世界经济]