Journal of Geography and Regional Planning
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Article Number - 104F56E56235

Vol.11(2), pp. 24-33 , February 2018
ISSN: 2070-1845

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Full Length Research Paper

Spatial pattern and influencing factors of county consumption level

Li Jiulin
  • Li Jiulin
  • School of Architecture and Urban Planning, Anhui Jianzhu University, Anhui, China.
  • Google Scholar
Chu Jinlong
  • Chu Jinlong
  • School of Architecture and Urban Planning, Anhui Jianzhu University, Anhui, China.
  • Google Scholar
Chen Xiaohua
  • Chen Xiaohua
  • School of Architecture and Urban Planning, Anhui Jianzhu University, Anhui, China.
  • Google Scholar
Wang Yongzheng
  • Wang Yongzheng
  • School of Architecture and Urban Planning, Anhui Jianzhu University, Anhui, China.
  • Google Scholar

 Received: 27 November 2017  Accepted: 14 February 2018  Published: 28 February 2018

Copyright © 2018 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0

The aim of this paper is to improve the level of consumption in the region and achieve sustained and steady regional economic growth. According to global autocorrelation calculation, the difference in county consumption level of the Wanjiang City Cluster since 2004 generally takes on an increasing trend, while the consumption level presents unbalanced development. Evolution of spatial distribution pattern indicates that high level consumption areas are mainly distributed along Yangtze River and these areas are constantly expanding, while low level consumption areas are situated in central Anhui and southwest mountain areas of Anhui. The differentiation pattern of consumption level gets constantly increasing and tends to remain stable. Quantile regression approach was used in different quantiles to depict effects of influencing factors on consumption level. In all quantiles, per capita GDP, per capita financial revenue, and average wage exert a positive effect on county consumption level, while the per capita industrial added value and net income of farmers produce a negative effect on county consumption level. Based on the overall grasp of the influencing factors of the regional consumption level and the quantile regression analysis, in order to improve the consumption level in the region and reduce the difference in regional consumption, policy makers should make every effort to improve the basic conditions for regional economic development and implement it in a targeted manner when formulating the regional consumption policy Countermeasures to Improve Regional Consumption Level.

Key words: County consumption level, evolution of spatial pattern, exploratory spatial data analysis (ESDA), quantile regression, Wanjiang City Cluster.


Cao G, Li K, Wang R, Liu T (2017). Consumption structure of migrant worker families in china. China. World. Econ. 25(4):1-21.


Gu CL, Pang HF (2008). Study on spatial relations of Chinese urban system: Gravity Model Approach. Geogr. Res. 27(1):1-12.


Guan WH, Zhou J, Lu YL (2012). Study on the regional pattern change of social consumption levels in China since the reform and opening up. Geogr. Res. 32(2):234-243.


Haider HT, See OH, Elmenreich W (2016). Residential demand response scheme based on adaptive consumption level pricing. Energy.113:301-308.


Jiang YF, Luo SG. (2008). The change of consumption structures and interregional difference since China's reform and opening up. Econ. Geogr. 28(3):415-418.


Jiao ZL (2013). Spatial Distribution and Dependence of City Consumption in China. Econ. Geogr. 33(7):41-46.


Jin FJ, Liu H, Xu X (2011). Nodal attractions estimation and their influencing factors based on reverse gravity mode. Progr. Geogr. 30(4):485-490.


Li L, Huang JL (2007). Analyzing the Status and Characteristics of Contemporary College Students' Consumption. Consum. Econ. 23(2):54-57.


Lin BQ (2003). Power consumption and China's economic growth: a study based on production function. Manag. World. (11):18-27.


Liu J, Mao J, Wang B (2015). Research on regional effects of tax policies on the consumption level of residents-a quantile regression analysis based on provincial panel data. Theory. Pract. Financ. Econ.


Liu WD, Liu HG (2012). Sector-specific spatial statistic model for estimating inter-regional trade flows. Acta Geogr. Sin. 67(2):147-56. 


Ma X, Yin H, Lv M (2016). A study on the changes of the consumption level of rural residents. International Conference on Social Science, Humanit. Mod. Educ. Geographica Sinica 67(2):147-56. 


Mei-Juan HU, Zhou NX, Zai-Jun LI, Xiu-Yun QI (2014). The spatial pattern and its influencing factors of county consumption level in jiangsu province. Econ. Geogr. 34(6):49-53.


Peng C (2015). The influence of guangdong province basic education on residents' consumption structure-based on grey correlation analysis method. Open J. Soc. Sci. 03(11):288-294.


Teng TW, Shi CB (2013). Regional economic linkage and the development of satellite regions: case study of Shanghai Lin'gang Industrial Park. Econ. Geogr. 33(8):61-67.


Wang YP, Zhang Y (2012). Based on panel date of the empirical analysis of the consumption structure of rural residents in central province-take shanxi province for example. Econ. Geogr. 32(9):126-131.


Wang Z, Jiao HF, Huan HF (2011). Economic space evolution of Wanjiang City Belt based on county scale. Geogr. Geof. Sci. 27(1):53-58.


Wei DL, School B, University G (2016). The influence of redistribution on residents' consumption level and the urban-rural income gap. Econ. Res. Guide.


Xu H, Peng P (2008). Division of economic regions based on gravity model and coordinated development in Jiangxi Province. Sci. Geogr. Sin. 28(2):169-172.


Xu WX, Chen B, Li YM (2013). The accessibility and economic linkage of urban areas in Zhejiang Province based on land communication. Econ. Geogr. 33(12):49-53.


Yang C, Ning Y (2015).Evolution of spatial pattern of inter-provincial migration and its impacts on urbanization in China. Geogr. Res 34(8):1492-506.


Zhang R, Tian P (2005). Positive study of chinese urban residents' consumption structure change during ten years' period. J. Univ. Shanghai. Sci. Technol. 27(2):151-156.


Zhang T, University H (2017). Research on the classification of regional consumption level based on cluster analysis. Econ. Res. Guide. 


Zhou RB, Xiao-Wen LI (2017). Evolution of spatial pattern and influencing factors of manufacturing industries in guangdong province. Hum. Geogr. 


APA Jiulin, L., Jinlong, C., Xiaohua, C., Kangkang, G., & Yongzheng, W. (2018). Spatial pattern and influencing factors of county consumption level. Journal of Geography and Regional Planning, 11(2), 24-33.
Chicago Li Jiulin, Chu Jinlong, Chen Xiaohua, Gu Kangkang, and Wang Yongzheng,  . "Spatial pattern and influencing factors of county consumption level." Journal of Geography and Regional Planning 11, no. 2 (2018): 24-33.
MLA Li Jiulin, et al. "Spatial pattern and influencing factors of county consumption level." Journal of Geography and Regional Planning 11.2 (2018): 24-33.

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