The Analysis on Evolvement of Spatial Pattern of Economy at County Level in Guangdong Province

Pengzhen Shen^*, Weijin Gong

School of Economics, Jinan University, Guangzhou, China.

DOI: 10.4236/jss.2015.311036                

Abstract

By selecting the per capita GDP of every county, this article uses the methods of exploratory spa-tial data analysis, Kiging spatial interpolation, semivariogram function, and the software of ArcGIS 10.0, Geoda and SPSS to show the spatial-temporal evolution of economic disparities at county level in Guangdong province from 1991 to 2013. The results show that: the economy of Guangdong province at county level presents a positive autocorrelation. It appears a downward trend in 2004, but it goes on growing at a steady trend. Cold-spot areas are dispersed in the north of Guangdong Province and the individual counties of East and West wings, while the hot-spot areas are mainly concentrated in the Pearl River Delta Center. Through the analysis of semivariogram function, it finds that the spatial self-organization of the county economy of Guangdong Province is getting stronger and the spatial random component of different pattern is in the smaller proportion. The main factors are due to the difference of natural conditions in regional economy, geographical conditions and regional development policy.

Keywords

The Disparities of County Economy, Spatial Autocorrelation, Semivariogram Function, Guangdong Province

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Rozelle, S. (1991) Rural Industrialization and Increasing Inequality: Emerging Patterns in Chinas’ Reforming Economy. Economic Development and Cultural Change, 39, 471-506.
[2]	Max, L. and Wang, E.R. (2002) Forging Ahead and Falling Behind: Changing Regional Inequalities in Post-Reform China. Growth and Change, 33, 42-71. http://dx.doi.org/10.1111/0017-4815.00179
[3]	Xu, J.H. and Lu, F. (2005) Spatial and Temporal Scale Analysis on the Regional Economic Disparities in China. Geophysical Research, 1, 57-68.
[4]	Zhang, Y. (2010) The Analysis on Economic Difference of Chinese County. Chinese Rural Economy, No. 11, 15-25.
[5]	Wang, Y. and Xiao, H.S. (2011) Research on the Economic Growth Inequality and Dynamic Convergence of Counties in Yangtze Delta. East China Economic Management, 25, 41-69.
[6]	Gin, C. and Lu, Y.Q. (2009) Evolvement of Spatial Pattern of Economy in Jiangsu Province at County Level. Geography Journal, 64, 713-724.
[7]	Meng, D.Y. and Lu, Y.Q. (2011) Industry Decomposition of County Economic Disparity Based on Gini Coefficient in Henan Province. Economic Geography, 31, 799-804.
[8]	Ouyang, N.J. (1993) Economic Restructuring and Regional Disparities in Guangdong Province. Geography Journal, 48, 204-217.
[9]	Ding, S. and Li, H. (2012) Spatial-Temporal Analysis on Economic Disparities of Developed Province at County Level: The Case of Guangdong Province. Chinese Regional Economy, No. 3, 11 p.
[10]	Zhang, S.L. and Zhang, K. (2007) Comparison between General Moran’s Index and Getis-Ord General G of Spatial Autocorrelation. Journal of Sun Yat-sen University, 46, 93-97.
[11]	Getis, A. and Ord, J.K. (1992) The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24, 189-206.
[12]	Fang, Y.L., Huang, Z.F. (2013) Research of Spatial Differences of County Economy in Anhui Based on Geostatistical Analysis. Economic Geography, 33, 33-38.
[13]	Sui, Y.Y., Du, F. and Zhang, X.C. (2011) Spatial Heterogeneity of Available Soil Nutrients in Abandoned Ole-Field Communities in the Loess Hilly Region. Acta Pratacultural Science, 20, 76-84.
[14]	Gin, C. and Lu, Y.Q. (2011) Evolvement of Economic Development Diversity in the Changjiang River Delta Based on Spatial Variogram. Geographic Science, 31, 1329-1334.