摘要
新型工业化对浙江县域经济发展提出了更高的要求,研究通过实证的方法,建立新型工业化水平评价体系,并借助ESDA-GIS空间分析框架,对浙江省县级行政单元新型工业化差异的空间格局进行分析,结果表明浙江省域范围内新型工业化综合发展水平呈现"浙东北高、浙西南低"的格局;并具有增长极带动下的区域整体发展特点;地区发展空间差异显著,在空间上体现出两极"俱乐部趋同"的集聚态势;各县级行政单元自身的工业化水平组合特征不均衡,各项指标非平行发展,呈现出轻加工型产业特征下,规模经济与内部结构空间差异基础上的整体集约化水平低下。
The stratagem of new-type industrialization has been taken action in the 16th congress of the Chinese Cormnunist Part. The new-type industrialization policy is a scientific solution based on the summarization of the experience and lesson derived from the process of industry all over the world. After the long-term rapid growth, the economy cardinal number incresed rapidly, if we still keep on the traditional mode of development, the supply of resources and the durability of enviroment will become frustrations that can not be overcome. And new-type industrialization emphasized high science and technology content, good economic benefit, low resources consuming, little enviroment pollution and human resources sufficient application. New-type industrialization puting higher demands on county-level economy development in Zhejiang. This paper builds up a new-type industrialization evaluation system, based on the Principal Compnoent Analysis. There three principal eompnoents: first is industry size and technology factor; second is industry process and structure factor; third is environment protected and low energy sources consuming factor. After calculating the compositive scores of every administrative district, the paper makes use of ESDA-GIS frame work to analyze spatial difference of new-type industrialization of county area in Zhejiang. Spatial analysis needed in New-type industrialization research for the observed spatial values are not independent each other, i. e. , (or) they do not follow the same distribution, and(or) there is a trend along different directions. The Exploratory Spatial Data Analysis (ESDA), which based on the computing spatial autocorelation and spatial heterogeneity, is also used to detect the geographical dynamics of Zhejiang regional disparity patterns. There are significant positive spatial autocorrelation ( Moran' s I) of New-type industrialization level in Zhejiang. Moran' s I Scatter plots and LISA (Local Indicators of Spatial Association) cluster maps are used
出处
《地理科学》
CSCD
北大核心
2009年第4期508-514,共7页
Scientia Geographica Sinica
基金
国家科技支撑计划课题资助(2006BAJ11B03)
关键词
新型工业化
ESDA
空间差异
浙江
new-type industrialization
ESDA
spatial difference
Zhejiang