PDF Download

[1]GUI Yang,WANG Hongwei,CHAI Chunmei,et al.Analysis of County Economic Disparities in South of Xinjiang Based on Entropy Weight Method and ESDA[J].Research of Soil and Water Conservation,2017,24(02):223-228,233.

Copy

Analysis of County Economic Disparities in South of Xinjiang Based on Entropy Weight Method and ESDA

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 02 Page number: 223-228,233 Column: Public date: 2017-04-28

Title:: Analysis of County Economic Disparities in South of Xinjiang Based on Entropy Weight Method and ESDA

Author(s):: GUI Yang^1,2, WANG Hongwei^1,2, CHAI Chunmei^1,2, WEI Min^1,2, ZHAO Zhe^1,2; 1. College of Resource and Environment Science, Xinjiang University, Urumqi 830046, China;
2. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China

Keywords:: regional economic disparities; entropy weight; ESDA; south of Xinjiang

CLC:: F127

DOI:: -

Abstract:: In order to narrow the regional economic differences and promote the coordinated economy development of southern Xinjiang and whole Xinjiang, 42 counties in southern Xinjiang were chosen as the study samples. We used the entropy weight method to evaluate the counties’ comprehensive economy development levels; in addition,we analyzed the domain economy temporal evolution pattern based on ESDA and GIS spatial analysis method. The results are as followings. In terms of the global spatial differences, the autocorrelation levels were increasing from 0.149 2 in 2000 to 0.264 0 in 2013, since the index was at a lower level, the overall upward trend indicated that the level of economy development of 42 counties in southern Xinjiang existed a positive correlation but the relationship was not significant, and the economic ties among the counties were weak, though the economic differences among the counties decreased. In terms of local spatial disparity, the zone with higher levels of economic development had always focused in Korla City, meanwhile, the area with low level of economic development widely distributed, which mainly concentrated in Kashgar and Hotan area, and counties’ differences of the level economic development remained significant. According to the results, driving factors to the county economic differences were analyzed, which discuss the measures to resolve the status of county economic difference from four main aspects including basic economic development, industrial structure, social security and policy support and population quality and education level. Therefore, the results would provide a certain theoretical basis for local economic layout of the overall planning and policy implementation.

References:: [1] 李小建,乔家君.20世纪90年代中国县际经济差异的空间分析[J].地理学报,2001,56(2):136-145.
[2] 徐建华,鲁凤,苏方林,等.中国区域经济差异的时空尺度分析[J].地理研究,2005,24(1):57-68.
[3] 冯长春,曾赞荣,崔娜娜.2000年以来中国区域经济差异的时空演变[J].地理研究,2015,34(2):234-246.
[4] 刘清春,王铮.中国区域经济差异形成的三次地理要素[J].地理研究,2009,28(2):430-440.
[5] Yamamoto D. Scales of regional income disparities in the USA 1955-2003[J]. Journal of Economic Geography, 2008,8(1):79-103.
[6] 吴殿廷.中国三大地带经济增长差异的系统分析[J].地域研究与开发,2001,20(2):10-15.
[7] 吴殿廷.试论中国经济增长的南北差异[J].地理研究.2001,20(2):238-246.
[8] 孙姗姗,朱传耿,李志江.淮海经济区经济发展差异研究[J].地理学报,2009,64(8):924-934.
[9] 谢守红,谭志美,周驾易.中国县级市经济发展的空间差异及影响因素[J].经济地理,2015,35(1):38-43.
[10] 柯文前,陆玉麒.基于县域的福建省经济空间格局演化[J].经济地理,2013,31(7):1082-1087.
[11] 仇方道,佟连军,朱传耿,等.省际边缘区经济发展差异时空格局及驱动机制:以淮海经济区为例[J].地理研究,2009,28(2):451-462.
[12] 刘湘辉,姬冠,孙艳华.连片特困地县域经济发展差异综合评价研究:以湘西地区为例[J].经济地理,2013,33(10):35-39.
[13] 张海峰,白永平,陈琼.基于ESDA-GIS的青海省区域经济差异研究[J].干旱区地理,2009,32(3):454-461.
[14] 李丁,李平安,王鹏.基于ESDA的甘肃省县域经济空间差异分析[J].干旱区资源与环境,2009,23(12):1-5.
[15] 李豫新,任凤.新疆南北疆区域经济发展差异预警研究[J].干旱区资源与环境,2012,26(8):1-7.
[16] 郭晓月,齐萍萍,叶明国,等.县域经济发展客观评估指标体系研究:以烟台市为例[J],中国农学通报,2015,31(9):273-278.
[17] 关伟,朱海飞.基于ESDA的辽宁省县际经济差异时空分析[J].地理研究,2011,30(11):2008-2016.

Similar References:

Memo

Last Update: 1900-01-01