云南省县域经济差异的空间分析

XIE, Xiao-ting and LIAO, Le-huan (2015): 云南省县域经济差异的空间分析. Published in: Journal of Yunnan University of Nationalities , Vol. 24, No. 6 (20 November 2015): pp. 521-527.

Abstract

Based on the cross-sectional data in 2013 of counties and introduces the spatial econometric model, this paper analyzes the agglomeration of economic growth and its influence factors among counties in Yunnan. The results indicate that the county economic growth has an obviously spatial correlation and the economic growth has an obviously agglomeration in the geographical space. Ignoring the spatial effects causes the deviation of model setting. The counties of high level in economic growth are concentrated in the central regions of Yunnan, meanwhile the counties of low level are concentrated in some regions in the southern, northern and south-western regions of Yunnan. The gap of economic growth is significant among these regions. Factors such as consumption, labor and industrialization play a significant role in promoting regional economic growth. Based on the above empirical study, the author brings up some corresponding policies for local governments.

• Item Type: MPRA Paper
• English Title: A spatial analysis of the county-level differences in economic growth rates in Yunnan province
• Language: Chinese
• Keywords: county-level economy; ESDA; spatial econometrics; Yunnan
• Subjects: R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R11 - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

References

[1]ISLAM N. Growth Empirics: A Panel Data Approach [J]. The Quarterly Journal of Economics, 1995, 110(4): 1127-1170 [2]刘强. 中国经济增长的收敛性分析[J]. 经济研究, 2001,(6): 70-77. [3]刘乃全. 中国区域经济增长协整分析与区域政策选择-兼论“中部塌陷”现象[J], 财经研究, 2006, (4): 49-57. [4]贾俊雪,郭庆旺. 中国区域经济趋同与差异分析[J]. 中国人民大学学报, 2007,(5): 61-68. [5]周亚虹,朱保华,刘俐含,等. 中国经济收敛速度的估计[J]. 经济研究, 2009, (6): 40-51. [6]郭佩颍. 基于偏离-份额模型的我国区域间经济收敛研究[J]. 商业研究, 2012, (11): 61-67. [7]YING.L.G. Understanding China's recent growth experience: A spatial econometric perspective[J]. The Annals of Regional Science, 2003, (37): 613-628. [8] 刘伟,李绍荣. 产业结构与经济增长[J]. 中国工业经济, 2002, (5): 14-21. [9]CARLINO G A, DEFINA R. Regional Income Dynamics[J]. Journal of Urban Economics, 1995, (31): 88-106. [10]CLARK T E. Employment Fluctuations in U.S. Regions and Industries: The Role of National, Region-specifc, and Industry-specific Shocks[J]. Journal of Labor Economics, 1998, (1): 202-229. [11]YAO S. and ZHANG Z. Regional Growth in China under Economic Reforms[J]. The Journal of Development Studies, 2001, 38(2): 167-186. [12]ZHANG Q. and FELMINGHAM B. The Role of FDI, Exports and Spillover Effects in the Regional Development of China[J]. The Journal of Development Studies, 2002, 38(4): 157-178. [13]佘开勇,陈闻君. 新疆县域经济集聚的空间计量分析[J]. 兰州商学院学报, 2013, 29(4): 66-72. [14]文淑惠,和玉华. 基于空间计量经济学的云南滇西经济圈经济增长主要因素分析[J]. 经济问题探索, 2014, (2): 71-75. [15]HUBERT L.J., GOLLEDGE R.G., & CONSTANZO C.M.. Generalized Procedures for Evaluating Spatial Autocorrelation[J]. Geographical Analysis, 1981, (12): 224-233. [16]沃德,格里蒂奇. 空间回归模型[M]. 上海: 上海人民出版社,2012: 46-53.