Earth Surface Processes

Spatio-temporal analysis of inter-county economic differences in Liaoning Province based on ESDA

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  • 1. Research Center for Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China;
    2. College of Urban and Environment, Liaoning Normal University, Dalian 116029, Liaoning, China

Received date: 2011-05-23

  Revised date: 2011-09-02

  Online published: 2011-11-20

Abstract

Modern theories on regional development hold that moderate differences in regional economic development facilitate the efficient allocation of resources and the shift of industries between regions, but the oversized differences will weaken the existing division of labor and economic cooperation, or even do harm to the regional economic and social stability. Taking the counties (including counties, county-level cities and municipal districts) of Liaoning as the study object and the GDP per capita as the measuring indicator, this paper analyzes the spatial-temporal pattern of economic differences in Liaoning Province from 2000 to 2009 by way of EDSA. The findings are that, the inter-county economy is highly auto-related, and the inter-county economic differences are enlarged first and dwindled afterward. In terms of local differences, the counties of "H-H" type are currently found mainly in Shenyang and Dalian, with a trend of extending to other coastal areas; the counties of "L-L" type are mainly in west Liaoning, including Fuxin, Chaoyang, and Huludao. The spatial distribution of counties with economic hotspots seems to be random and indefinite, with Shenyang and Dalian dominating them. Based on further analysis of the driving mechanism of the inter-county economic differences from the perspectives of historical development, locational conditions, policy implications and adjacency effect, the paper points out that, Shenyang and Dalian have firmly been established as the core of Liaoning coastal economic zone, and Shenyang economic zone since "Liaoning coastal economic zone" and "new industrialization and comprehensive reform pilot area of Shenyang economic zone" have been developed into "national strategies", but their radiation function and leading role are still limited.

Cite this article

GUAN Wei, ZHU Hai-fei . Spatio-temporal analysis of inter-county economic differences in Liaoning Province based on ESDA[J]. GEOGRAPHICAL RESEARCH, 2011 , 30(11) : 2008 -2016 . DOI: 10.11821/yj2011110007

References

[1] Williamson J G.Regional inequality and the process of national development: A description of the patterns.Economic Development and Cultural Change,1965,13(1):3~45.

[2] Raúl Prebisch.The economic development of Latin America and its principal problems.Economic Bulletin for Latin Amertca, 1962,7(1):1.

[3] 马国霞, 徐勇, 田玉军.京津冀都市圈经济增长收敛机制的空间分析.地理研究, 2007, 26(3):590~598.

[4] Denberger R F.China's Development Experience in Camparative Perspective.Cambridge:Harvard University Press, 1980.

[5] 李小建, 樊新生.欠发达地区经济空间结构及其经济溢出效应的实证研究.地理科学, 2006, 26(1):1~6.

[6] 刘清春, 王铮.中国区域经济差异形成的三次地理要素.地理研究, 2009, 28(2):430~440.

[7] 徐建华, 鲁凤, 苏方林, 等.中国区域经济差异的时空尺度分析.地理研究, 2005, 24(1):57~68.

[8] 鲁凤, 徐建华.基于二阶段嵌套锡尔系数分解方法的中国区域经济差异研究.地理科学, 2005, 25(4):401~407.

[9] 吴殿廷.试论中国经济增长的南北差异.地理研究, 2001, 20(2):238~246.

[10] 陈钊.我国东、中部地区的南北发展差异.地理研究, 1999, 18(1):79~86.

[11] 李二玲, 覃成林.中国南北区域经济差异研究.地理学与国土研究, 2002, 18(4):76~78.

[12] 孙希华, 张淑敏.山东省区域经济差异分析与协调发展研究.经济地理, 2003, 23(5):611~620.

[13] 余建新, 祝炜平.浙江区域经济发展差异研究.地域研究与开发, 2004, 23(4):29~31.

[14] 李丽, 管卫华.改革开放以来江苏省区域经济差异格局演化研究.经济地理, 2010, 30(10):1606~1611.

[15] 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.地理学报, 2001, 56(2):136~145.

[16] 孙姗姗, 朱传耿, 李志江.淮海经济区经济发展差异研究.地理学报, 2009, 64(8):924~934.

[17] 蒲英霞, 葛莹, 马荣华, 等.基于ESDA的区域经济空间差异分析——以江苏省为例.地理研究, 2005, 24(6):965~974.

[18] 孟召宜, 渠爱雪, 车冰清, 等.江苏省区域经济差异的文化研究.地理研究, 2010, 29(8):1380~1391.

[19] 欧向军, 沈正平, 朱传耿.江苏省区域经济差异演变的空间分析.经济地理, 2007, 27(1):78~83.

[20] 麻永建, 徐建刚.基于ESDA的河南省区域经济差异的时空演变研究.软科学, 2006, 20(5):51~54.

[21] 伍世代, 王强.中国东南沿海区域经济差异及经济增长因素分析.地理学报, 2008, 63(2):123~134.

[22] 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. 地理研究, 2009, 28(2):451~463.

[23] 任建军, 阳国梁.中国区域经济发展差异及其成因分析.经济地理, 2010, 30(5):784~789.

[24] 陆大道, 刘毅, 樊杰.我国区域政策实施效果与区域发展的基本态势.地理学报, 1999, 54(6):496~508.

[25] 管卫华, 赵媛, 林振山.改革开放以来江苏省区域空间结构变化.地理研究, 2004, 23(4):541~550.

[26] 李莉, 刘慧, 刘卫东, 等.基于城市尺度的中国区域经济增长差异及其因素分解.地理研究, 2008, 27(5):1048~1058.

[27] 张雪花, 郭怀成, 张宏伟.区域经济联系强度的分形特征分析及其在我国西部地区的应用.北京大学学报: 自然科学版, 2007, 43(2):245~250.

[28] 吴玉鸣.中国区域经济发展差异收敛的非线性分形分析.南都学坛: 人文社会科学学报, 2004, 24(5):103~108.

[29] 卢艳, 徐建华.中国区域经济差异的实证研究与R/S分析.地域研究与开发, 2002, 3(3):60~66.

[30] 陈才.区域经济地理学.北京:科学出版社, 2001. 63.

[31] 吕韬, 曹有挥."时空接近"空间自相关模型构建及其应用——以长三角区域经济差异分析为例.地理研究, 2010, 29(2):351~360.

[32] Anselin L.Interactive techniques and exploratory spatial data analysis. In:LongleyP A, Godchild M F, Maguire D J. Geographical Information Systems(2nd edn.).New York:John Wiley&Sons, 1999.253~266.

[33] Haining R, Wises, MA.Designing and implementing software for spatial statistical analysis in a GIS environment.Journal of Geographical System, 2000, 2(3):257~286.

[34] Rey S, Montouri B.US regional income convergence: A spatial econometric perspective. Regional Studies, 1999, 33(2):1543~1564.

[35] Bao Y C, Li X.Spatial data analysis and spatial models.Geographical Research, 1999, 18(2):185~190.

[36] 余建辉, 张文忠.基于社会属性的北京市居民群体空间自相关分析.地理研究, 2010, 29(5):820~829.

[37] 陈斐, 杜道生.空间统计分析与GIS在区域经济分析中的应用.武汉大学学报: 信息科学版, 2002, 27(4):391~395.

[38] 陈彦光.基于Moran统计量的空间自相关理论发展和方法改进.地理研究, 2009, 28(6):1449~1463.

[39] 靳诚, 陆玉麒.基于县域单元的江苏省经济空间格局演化.地理学报, 2009, 64(6):713~723.

[40] 魏也华, 马润潮.我国基本建设投资区域分布的变化.地理科学, 1994, 14(1):22~29.

[41] 关伟.生产性服务业视角下的大连生态科技创新城建设.辽宁师范大学学报: 自然科学版, 2010, 33(4):498~502.

[42] 李小建, 李国平, 曾刚.经济地理学(第二版). 北京: 高等教育出版社, 2006. 192.
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