论文

New Pattern of Regional Economic Polarization in the Three Provinces of Northeast China

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  • 1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101;
    2. Graduate University of the Chinese Academy of Sciences, Beijing, 100049;
    3. School of Urban and Environmental Sciences, Northeast Normal University, Changchun, Jilin 130024

Received date: 2007-07-18

  Revised date: 2007-12-14

  Online published: 2008-11-20

Abstract

This paper examines the spatial polarization of regional economy in the three provinces of Northeast China. Municipal jurisdiction, city proper and county were respectively used as the basic units of analysis, for each of which the GDP and per capita GDP as collected or calculated. The degrees of inequality and polarization of regional economy for the years of 1990, 1995, 2000 and 2005 were evaluated with Gini Coefficient, Wolfson Index, and TW Index. Spatial autocorrelation analyses were employed to identify the "hot places" of economic development, and explore the patterns of polarization of regional economy, of which city proper and county were basic units.The research reveals that the polarization of regional economy progresses in each of the three units mentioned above in Northeast China since 1990, and the city district economy is the most polarized among them. A spatial trend has been exhibited for economic center of gravity to move southward. The areas with high value in spatial autocorrelation analysis have been turning from scatters to axial and planar distributions. Dalian, Shenyang, Changchun and Harbin, are high "polarizing points", and discontinuous "polarizing axes" are along Harbin-Dalian and Manzhouli-Harbin-Suifenhe railroad. The area with High value covers all the Middle-and-South Liaoning, meanwhile, low value areas extend in North Heilongjiang, East and West Jilin, and West Liaoning, and become more continuous.The polarization results in that in Northeast China, regional economic system tends to become less hierarchical, and the economic growth among prefectural cities, with the Four Cities excluded, tends to become equality. The polarization also brings varying degrees of developments to Middle-and-South Liaoning Economic Region, Harbin-Changchun Region (Harbin, Daqing, Qiqihar, Songyuan, Changchun, and Jilin City), Manzhouli-Harbin- Suifenhe Economic Axial Belt, the major structures of regional economy in Northeast China.

Cite this article

LI Xiu-wei, XIU Chun-liang . New Pattern of Regional Economic Polarization in the Three Provinces of Northeast China[J]. SCIENTIA GEOGRAPHICA SINICA, 2008 , 28(6) : 722 -728 . DOI: 10.13249/j.cnki.sgs.2008.06.722

References

[1] Mitchelson R L,Wheeler J O. The flow of information in a global economy: the role of the American urban system in 1990[J]. Annals Association of American Geographers, 1994, 84(1): 87-107.
[2] Fedolov Leonid. Regional inequality and polarization in Russia [J]. World Development, 2002, 30(3): 443-456.
[3] Fritzell J. Income inequality trends in the 1980s: a five-country comparison. Acta Sociologica, 1993, 36:47-62.
[4] Fan C C. The temporal and spatial dynamics of income and population growth in Ohio, 1950-1990 [J]. Regional Studies, 1994, 28(3): 241-258.
[5] Michael C, Wolfson. Conceptual issues in normative measurement when inequality diverge [J]. The American Economic Review, 1994, 84(2):353-358.
[6] Sassen S. The global city[M]. Princeton, NJ: Princeton University Press, 1991:156-158.
[7] Fainstein S S. Divided cities: New York and London in the contemporary world[M]. Oxford: Blackwell, 1992: 123-125.
[8] Marcuse P, R Van Kempen. Globalizing cities an new spatial order? [M] Oxford: Blcakwell, 2000: 110-113.
[9] 甄 峰,顾朝林.改革开放以来广东省空间极化研究[J].地理科学,2000,20(5):404~410.
[10] 欧向军,顾朝林.江苏省区域经济极化及其动力机制定量分析.地理学报,2004,59(5):791~799.
[11] 金凤君,王姣娥.铁路提速的空间经济效果评价[J].铁道学报,2003,25(6):1~7.
[12] 金凤君.我国航空客流网络发展及其地域系统研究[J].地理研究,2001,20(1):31~39.
[13] 汪明峰,宁越敏.互联网与中国信息网络城市的崛起[J].地理学报,2004,59(5):446~454.
[14] 修春亮,许大明,祝翔凌.东北地区城乡一体化进程评估[J].地理科学,2004,24(3):320~325.
[15] Xiaobo Zhang, Ravi Kanbur. What difference do polarization measures make? An application to China [J]. The Journal of Development Studies. 2001(37)3, 85-98.
[16] Wang Youqiang, Tsui Kai-yuen. Polarization Ordering and New Classes of Polarization Indices [J]. Journal of Public Economic Theory. 2000,3(2): 349-363.
[17] Cliff A D, Ord J K. Spatial Processes, Models and Applications. London: Pion, 1981.
[18] Anselin L. Local indicators of spatial association: LISA[J]. Geographical Analysis, 1995, 27: 93-115.
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