摘要
基于2000年和2010年甘肃省12个地级市经济发展的面板数据,首先运用主成分分析法和断裂点理论对各城市的经济影响区范围进行了定量划分,然后运用GIS软件对各城市经济影响区范围进行了缓冲区分析,最后运用回归分析对各城市经济影响区的驱动因素进行了拟合。结果表明:近十年来,甘肃省城市经济影响区范围普遍扩大,城市综合实力的相对变化促使城市经济影响区范围也有局部调整;城市经济影响辐射范围不仅存在空间竞争关系,也存在空间溢出效应;土地、资本、城市化水平和科教因素对城市经济影响区范围变化存在显著的正向影响,而制度因素的回归结果并不显著。
Based on the economic development data of the 12 cities in Gansu province,we firstly established the index system of the urban economic development and calculated the city's synthetic power index by using the method of principal component analysis in SPSS software.The urban economic influence regions were divided into the 12 cities in Gansu province according to the breaking point model,field intensity formula and radiation radius formula.Then the buffer analysis about the economic radiation radius of each city on the existing administrative map of Gansu province were made and the spatial evolution law since 2000 was recognized.Finally,the regression analysis on the driving factors of the urban economic influence regions was done according to the regression model.The result illustrates that the economic influence regions have universally expanded in Gansu province in recent 10 years.It is an obvious trend that each city in Gansu province develops very quickly.The city's synthetic power has changed relatively,which leads to the local adjustment of urban economic influence regions.Urban economic influence regions not only exist spatial competition,there is also a strong spatial spillover effects among cities.Land,capital,urbanization,science and education have significantly positive influence on urban economic influence regions,while politics factor doesn't.It has been proved that PCA-GIS analysis can reveal the range of urban economic influence regions and their spatial evolution law more distinctly,which provides a good reference for the evaluation and analysis about the urban economic development.
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2013年第4期81-85,共5页
Journal of Arid Land Resources and Environment
基金
国家自然科学基金项目(41061017)资助
关键词
城市经济影响区
主成分分析
缓冲区分析
回归分析
甘肃省
urban economic influence region
principal component analysis
buffer analysis
regression analysis
Gansu province