地理科学 ›› 2015, Vol. 35 ›› Issue (12): 1502-1510.doi: 10.13249/j.cnki.sgs.2015.012.1502

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中国地级及以上城市GDP含金量时空分异格局

潘竟虎()   

  1. 西北师范大学地理与环境科学学院,甘肃 兰州 730070
  • 收稿日期:2014-12-25 修回日期:2014-05-09 出版日期:2015-01-20 发布日期:2015-01-20
  • 作者简介:

    作者简介:潘竟虎(1974-),男,甘肃嘉峪关人,博士,副教授,主要研究方向为空间经济分析。E-mail:panjh-nwnu@163.com

  • 基金资助:
    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

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

Jing-hu PAN()   

  1. College of Geographic and Environmental Science,Northwest Normal University, Lanzhou ,Gansu 730070, China
  • Received:2014-12-25 Revised:2014-05-09 Online:2015-01-20 Published:2015-01-20

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。

关键词: GDP含金量, ESDA-GIS, 时空分异, 半变异函数, 中国

Abstract:

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 ArcGIS10.0 and GeoDa095i. 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 China>the eastern China > the middle China, and the North>the South>the 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 content of GDP, while the eastern coastal areas and the western border regions are the most concentrated areas where the gold content of GDP significantly expanded. Cold spot areas of urban-rural income gap have spread markedly, and the spot areas shrink dramatically. Industrial structure, resident’s income source, urbanization level, human capital stock and initial distribution structure are the main factor affecting the gold content of GDP. Finally, some suggestions were put forward about how to improve the gold content of GDP, which including accelerating the transformation of economic development mode, further optimizing the structure of the initial distribution, and continuously improving the management and property income, stabilizing and expanding employment, and implementing the redistribution policy properly.

Key words: gold content of GDP, ESDA-GIS, spatiotemporal disparity, semi-variant function, China

中图分类号: 

  • F127