江西省县域农村居民纯收入空间差异研究
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摘要
将ESDA空间相关分析理论和GIS技术相结合,揭示了1980-2009年江西省农村居民收入空间格局变化及差异。结果表明:江西省农村居民收入持续增长,绝对差异增大,相对差异明显缩小,空间结构呈纺锤型(中间集中型),集中于中上收入区、中下收入区和低收入区3种类型,空间格局变化明显;县域之间农村居民收入具有明显的正相关性,呈现空间上的集中分布,高收入区集中于浙赣铁路及京九铁路北段沿线,低收入区集中在赣南地区;1980年、1990年、2000年和2009年位于HH和LL象限的县域分别占总单元数的53.85%、69.23%、65.93%和71.43%,局部集聚格局显著,集聚能力不断增强。
Based on the exploratory spatial data analysis(ESDA) and GIS technology,this paper analyzed the spatial difference of rural resident's net-income in Jiangxi province from 1980 to 2009.Reults showed that rural resident's net-income has been steadily increasing,but the absolute difference has been expanding while relative difference has been reduced;the general structure of rural resident's net-income at county level was spindle-type,upper middle income district,lower middle income district and low income district were the main 3 types;county rural resident's net-income showed a positive spatial autocorrelation and significant global spatial clustering pattern.The high income district mainly distributed along the Zhe-gan Railway and the north of Jing-jiu Railway,low income district was in the south of Jiangxi province.Counties fell into the quadrant of the HH and LL accounting for 53.85%,69.23%,65.93% and 71.43% of the total size in 1980,1990,2000 and 2009,respectively.The significant local spatial clustering pattern was significant,the clustering power is enhancing constantly.
Based on the exploratory spatial data analysis(ESDA) and GIS technology,this paper analyzed the spatial difference of rural resident's net-income in Jiangxi province from 1980 to 2009.Reults showed that rural resident's net-income has been steadily increasing,but the absolute difference has been expanding while relative difference has been reduced;the general structure of rural resident's net-income at county level was spindle-type,upper middle income district,lower middle income district and low income district were the main 3 types;county rural resident's net-income showed a positive spatial autocorrelation and significant global spatial clustering pattern.The high income district mainly distributed along the Zhe-gan Railway and the north of Jing-jiu Railway,low income district was in the south of Jiangxi province.Counties fell into the quadrant of the HH and LL accounting for 53.85%,69.23%,65.93% and 71.43% of the total size in 1980,1990,2000 and 2009,respectively.The significant local spatial clustering pattern was significant,the clustering power is enhancing constantly.
引文
[1]刘玉,刘彦随,郭丽英.环渤海地区农村居民纯收入空间分异研究[J].经济地理,2010,30(6):992-997.
[2]祝伟,汪晓文.中国省际间农村居民收入结构和收入差距分析[J].中国人口.资源与环境,2010,20(4):137-142.
[3]林毅夫.“三农”问题与我国农村的未来发展[J].农业经济问题,2003(1):19-24.
[4]刘彦随.中国东部沿海地区乡村转型发展与新农村建设[J].地理学报,2007,62(6):563-570.
[5]Liu Zhiqiang.Human capital externalities and rural ur-ban migration:evidence from rural China[J].China E-conomic Review,2008,19(3):521-535.
[6]刘慧.中国农村居民收入区域差异变化的因子解析[J].地理学报,2008,63(8):799-806.
[7]程前昌,胡宝清.中国农村居民收入增长及空间差异演变[J].乡镇经济,2008,(8):67-72.
[8]王培刚,周长城.当前中国居民收入差距扩大的实证分析与动态研究[J].管理世界,2005(11):34-44.
[9]朱述钧,韩召迎,王洪亮.江苏省农村居民收入差异分析[J].江苏农业学报,2006,22(2):171-174.
[10]Anselin L.Local indicators of spatial association-LISA[J].Geographical Anlysis,1995,27:93-115.
[11]Sanjeev S,Helena T,Richard L,et al.An exploratoryspatial data analysis approach to understanding the rela-tionship between deprivation and mortality in Scotland[J].Social Science&Medicine,2007,65:1942-1952.
[12]曾庆泳,陈忠暖.基于GIS空间分析法的广东省经济发展区域差异[J].经济地理,2007,7(7):69-77.
[13]靳诚,陆玉麒.基于县域单元的江苏省经济空间格局演化[J].地理学报,2009,64(6):713-724.
[14]谢花林.环鄱阳湖地区农业经济空间差异分析:基于探索性空间数据分析(ESDA)方法[J].农业现代化研究,2010,31(3):299-303.
[2]祝伟,汪晓文.中国省际间农村居民收入结构和收入差距分析[J].中国人口.资源与环境,2010,20(4):137-142.
[3]林毅夫.“三农”问题与我国农村的未来发展[J].农业经济问题,2003(1):19-24.
[4]刘彦随.中国东部沿海地区乡村转型发展与新农村建设[J].地理学报,2007,62(6):563-570.
[5]Liu Zhiqiang.Human capital externalities and rural ur-ban migration:evidence from rural China[J].China E-conomic Review,2008,19(3):521-535.
[6]刘慧.中国农村居民收入区域差异变化的因子解析[J].地理学报,2008,63(8):799-806.
[7]程前昌,胡宝清.中国农村居民收入增长及空间差异演变[J].乡镇经济,2008,(8):67-72.
[8]王培刚,周长城.当前中国居民收入差距扩大的实证分析与动态研究[J].管理世界,2005(11):34-44.
[9]朱述钧,韩召迎,王洪亮.江苏省农村居民收入差异分析[J].江苏农业学报,2006,22(2):171-174.
[10]Anselin L.Local indicators of spatial association-LISA[J].Geographical Anlysis,1995,27:93-115.
[11]Sanjeev S,Helena T,Richard L,et al.An exploratoryspatial data analysis approach to understanding the rela-tionship between deprivation and mortality in Scotland[J].Social Science&Medicine,2007,65:1942-1952.
[12]曾庆泳,陈忠暖.基于GIS空间分析法的广东省经济发展区域差异[J].经济地理,2007,7(7):69-77.
[13]靳诚,陆玉麒.基于县域单元的江苏省经济空间格局演化[J].地理学报,2009,64(6):713-724.
[14]谢花林.环鄱阳湖地区农业经济空间差异分析:基于探索性空间数据分析(ESDA)方法[J].农业现代化研究,2010,31(3):299-303.
目录