DocumentCode :
3324999
Title :
Research on the county level economic agglomeration and disparity in Heilongjiang Province
Author :
Guang-ji Tong ; Guang-qin Zhu
Author_Institution :
Sch. of Econ. & Manage., Northeast Forestry Univ., Harbin
fYear :
2008
fDate :
10-12 Sept. 2008
Firstpage :
862
Lastpage :
869
Abstract :
Based on county section data of Heilongjiang Province in 2006, using Geoda as the major analytical tool, the paper analyzed the regional agglomeration and disparity in 64 counties of Heilongjiang province with spatial statistical and econometric model. The results showed that there were fairly strong spatial agglomeration and autocorrelation in the 64 counties of Heilongjiang province, while spatial disparity was also obvious. This agglomeration and disparity were not only affected by urbanization, the governmentpsilas financial expenditure, the level of agricultural industrialization, per capita savings, and other relevant factors, but also impacted by their geographical location. According to the results of regression analysis, we had further discussions on the relationship between various influencing factors and the regional economic growth. Based on the analysis results, the paper puts forth some corresponding policy recommendations.
Keywords :
econometrics; macroeconomics; regression analysis; Geoda; Heilongjiang Province; agricultural industrialization; county level economic agglomeration; county section data; econometric model; per capita savings; regional agglomeration; regression analysis; spatial disparity; spatial statistical model; Autocorrelation; Conference management; Data analysis; Econometrics; Engineering management; Industrial economics; Industrial relations; Information analysis; Statistical analysis; Testing; agglomeration; disparity; economic growth; model; spatial econometric; spatial statistical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-2387-3
Electronic_ISBN :
978-1-4244-2388-0
Type :
conf
DOI :
10.1109/ICMSE.2008.4669013
Filename :
4669013
Link To Document :
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