Analysis and Suggestions on the Factors of Income Gap
Advances in Sciences and Humanities
Volume 5, Issue 2, April 2019, Pages: 65-69
Received: May 5, 2019;
Accepted: Jun. 12, 2019;
Published: Jun. 25, 2019
Views 113 Downloads 19
Yuan Gao, Department of Information Management, School of Business, Lingnan Normal University, Zhanjiang, China
Follow on us
Income gap reflects the imbalance of economic development in a region. Excessive income gap will affect social instability, aggravate social contradictions and conflicts, thus hindering social progress and development. Reasonable narrowing of income gap is conducive to optimizing the allocation of resources and improving social production efficiency. Guangdong Province has a high per capita income level in China. With the further development of Guangdong's economy, the income gap has changed to a certain extent, and this issue still attracts much attention. By consulting the basic data obtained from the Guangdong Yearbook in 2018, the Gini coefficient of Guangdong Province in 2018 is 0.335, which is basically reasonable, but it has not reached a relatively average level. The gap between GDP and per capita GDP of the four regions in Guangdong Province (Pearl River Delta, East Wing, West Wing, East Guangdong, West Guangdong, North Guangdong) is still large. By analyzing the factors of natural conditions, calculating the proportion of three industries and other factors, this paper explores the reasons for the formation of income gap, and puts forward some suggestions to narrow the gap from the aspects of optimizing industrial structure, adjusting income distribution and differentiating taxation, and finally draws a conclusion.
Gini Coefficient, Consumption Gap, Income Gap
To cite this article
Analysis and Suggestions on the Factors of Income Gap, Advances in Sciences and Humanities.
Vol. 5, No. 2,
2019, pp. 65-69.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Zhang Jie. Regional Economic Differences and Countermeasures in Guangdong Province [D]. Jinan University. 2002.
Guangdong Statistical Bureau. Guangdong Statistical Yearbook 2018 [Z]. 2018.
Samuelson P A. An Exact Consumption-loan Model of Interest With or Without the Social Contrivance of Money [J]. Journal of Political Economy, 1958, (66).
Xavier X, SALA-I. A Positive Theory of Social Security [J]. Journal of Economic Growth, 1996, (2).
Diamond P A A Framework for Social Security Analysis [J]. Journal of Public Economic, 1997, (8).
Jeffrey B. Liebman. Redstribution in the Current U.S. Social Security System [J]. NBER Working Paper 2005, (12).
Andres, J., O. Arce. Banking competion，housingprices and macroeconomic stability，Economic Journal，2012.
Calvo G A. Staggered prices in a utility-maximizing framework. Journal of monetary Economics, 1983, 12 (3).
Chari, Kehoe. Optimal fiscal and monetary policy, in: Taylor and Woodford, eds. Handbook of Macroeconomics, 1999.
Christiano, L., R. Motto, M. Rostagno. Financial factors in economic fluctuations, European Central Bank Working paper, 2010.
Davis, S, K. X. D. Huang. Optimal monetary policy under financial sector risk, 2013.
Frank Smets, Rafael Wouters. Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach. American Economic Review, 2007, 97 (3).
Gertler, M., P. Karadi. Amodel of unconventional monetary policy, Journal of Monetary Economics, 2011, 58 (1).
Gertler, M., N. Kiyotaki. Financial intermediation and credit policy in business cycle analysis, in: B. Friedman& M. Woodford (ed), 2010, Handbook of Monetary Economics，vol.3A.
Zhang, W. L. China's Monetary Policy: Quantity versus Price Rules, Journal of Macroeconomics, 2009, 31 (3).
Chen Binkai, Lin Yifu. Development Strategy, Urbanization and China's Urban-Rural Income Gap [J]. Chinese Social Sciences, 2013 (4).