摘要
以经济发展比较活跃的江苏省沿江区域作为研究单位,采用因子分析法和聚类分析法,建立沿江8市的县域经济发展水平测度模型,进行综合评价.选取的指标共22项,主要信息提取采用主成分因子法,在此基础上使用综合因子得分作为发展水平的评价,用聚类方法对模型的结果加以验证.结果表明,在江苏省,同属沿江发达地区的8个地级市,其县域经济发展的内部差距依然比较显著,呈现出随着距离上海空间位置的远近和交通可达的难易由东南部地市向西北部地市逐层递减的分异特点.表现在不仅江南和江北的差距显著,局限在江南或者江北内部,东部的地市苏州和南通县域经济水平要好于西部的地市南京和扬州.
The geographic research methods of county economy are becoming more and more quantitative and microcosmic. This paper builds up a quantificational model, using factor analysis and cluster analysis to evaluate the county economic development of the eight municipalities along the Yangtze Rivers in Jiangsu Province. Twenty two economic indicators are selected. The extraction method of factor is the principal components. The factor scores are summed up and used as a measurement of economic development level. The result is tested by cluster analysis and indicates that the inequalities in county economic development level among the developed regions of Jiangsu are still very distinct. The divergent characteristics of the studied area are the gradient from the southeastern municipalites to northwestern ones according to the distances to Shanghai and accessibilities. So the inequalities not only exist between the south of Yangtze River and the north of Yangtze River, but also within the south part or the north part of Yangtze River. The county economic level of municipalities such as Suzhou and Nantong in the east is generally higher than that of counterparts like Nanjing and Yangzhou in the west. At last, some suggestions about how to improve the county economic are given.
出处
《湖北大学学报(自然科学版)》
CAS
北大核心
2007年第2期211-216,共6页
Journal of Hubei University:Natural Science
基金
国家自然科学基金(40671148)
江苏省高等教育改革研究项目
南京师范大学本科生能力建设工程项目资助
关键词
县域经济
因子分析
江苏
GIS信息可视化
county economy
factor analysis
Jiangsu Province
geovisuallization in GIS