Fiscal Behavior Volatility, Economic Growth, and Urban-Rural Income Disparity
Wang Yufeng () and
Liu Shulin ()
Additional contact information
Wang Yufeng: School of International Trade and Economics, University of International Business and Economics, Beijing100029, China
Liu Shulin: School of International Trade and Economics, University of International Business and Economics, Beijing100029, China
Journal of Systems Science and Information, 2014, vol. 2, issue 3, 217-225
Abstract:
Fiscal behavior of local governments has great volatility in China, especially in the period of economic transition. This paper estimates fiscal behavior volatility by making regression analysis of panel data of 30 provinces from 1994 to 2011. Then we establish a dynamic panel model to study the direct and indirect impact of the fiscal behavior volatility on the urban-rural income disparity. Empirical results show that urban-rural income disparity has nonlinear relationship with economic growth and financial development and that fiscal behavior volatility expands the urban-rural income disparity directly and indirectly. The larger fiscal behavior volatility comes greater urban-rural income disparity. We also find that the urban-rural income disparity is further enlarged through dual economic structure. If one of the economic growth and financial development is fixed, the other one has an inverted U-shaped relationship with urban-rural income disparity.
Keywords: urban-rural income disparity; fiscal behavior volatility; economic growth; financial development; inverted U-shaped relationship (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1515/JSSI-2014-0217 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:2:y:2014:i:3:p:217-225:n:3
DOI: 10.1515/JSSI-2014-0217
Access Statistics for this article
Journal of Systems Science and Information is currently edited by Shouyang Wang
More articles in Journal of Systems Science and Information from De Gruyter
Bibliographic data for series maintained by Peter Golla ().