机构地区:[1]黔南民族师范学院旅游与资源环境学院,贵州都匀558000
出 处:《湖南工业大学学报》2020年第6期34-40,共7页Journal of Hunan University of Technology
基 金:黔南州科技计划基金资助项目(黔南科合学科建设社字(2018)4号);黔南民族师范学院科研基金资助项目(qnsy2017008);贵州省教育厅创新群体重大研究基金资助项目(黔教合KY字[2016]054,黔教合KY字[2016]055);贵州省教育厅自然科学基金资助项目(黔教合KY字[2015]497)。
摘 要:以2006—2017年贵州省县域人均GDP为研究对象,运用空间自相关、时空跃迁等方法,借助ArcGIS和GeoDa软件探究贵州省县域经济差异的时空格局演变特征。结果表明:2006—2017年,Global Moran’s I指数由0.149上升到0.311,说明贵州省县域经济具有显著的空间依赖性,且空间依赖性呈上升趋势,县域经济空间差异呈缩小的趋势;贵州省县域经济具有“集聚”和“分异”并存的时空格局演变特征。2006—2017年,H-H集聚县域由18个减少到14个,L-L集聚县域由34个增加到41个,说明经济发展水平较高的县域空间集聚程度有所减弱,经济发展水平较低的县域空间集聚程度有所增强;2006—2017年有55个县发生类型Ⅳ跃迁,占全部县域的69.62%,说明贵州省县域经济的局部空间关联结构和集聚特征具有较强的空间稳定性,县域经济空间溢出效应对相邻县域的影响较小,即贵州省县域经济空间格局具有一定的空间锁定或路径依赖特征;2006—2017年,High-High集聚县域由3个增加到7个,Low-Low集聚县域由8个减少到6个,但贵州省大部分县域未通过显著性检验,说明贵州省大部分县域的经济基本处于孤立发展状态,空间关联程度较弱。With the per capita GDP of counties in Guizhou Province from 2006 to 2017 as the research object,an analysis has been made of the dynamic evolution characteristics of spatial differences in economic at the counties in Guizhou Province by using ArcGIS and GeoDa software,with such spatial statistical methods as spatial auto-correlation analysis,spatio-temporal transition and other methods adopted.The results show that:during 2006—2017,the Global Moran,s I Index rose from 0.149 to 0.311,indicating that the county economy in Guizhou Province is characterized shows a significant spatial dependence,while the spatial dependence is increasing,the inter-county economic spatial differences keeps narrowing;the county economy of Guizhou Province is characterized with a spatio-temporal pattern of the coexistence of“agglomeration”and“differentiation”.From 2006 to 2017,the number of H-H agglomeration counties decreased from 18 to 14,and the number of L-L agglomeration counties increased from 34 to 41,indicating that the degree of spatial agglomeration of counties with higher levels of economic development has weakened,and that of counties with lower levels of economic development agglomeration has increased.From 2006 to 2017,55 counties experienced type IV transitions,accounting for 69.62%of all counties,indicating that the local spatial association structure and agglomeration characteristics of county economy in Guizhou Province have strong spatial stability,and the spatial spillover effect of county economy has less influence on the adjacent counties,i.e.,the spatial pattern of county economy in Guizhou Province has certain spatial locking or path-dependent characteristics.From 2006 to 2017,the number of High-High agglomeration counties increased from 3 to 7,with the number of Low-Low agglomeration counties decreasing from 8 to 6.However,most counties in Guizhou Province failed to pass the significance test,indicating that most counties in Guizhou Province is basically in a state of isolated development with a degre
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