DocumentCode
3325885
Title
Optimal scale of the rural fiscal expenditure based on economic growth in China
Author
Zhang Rui ; Li Zhong-fu
Author_Institution
Dept. of Constr. Manage., Florida Int. Univ., Miami, FL
fYear
2008
fDate
10-12 Sept. 2008
Firstpage
1197
Lastpage
1202
Abstract
Moderate government fiscal expenditure is able to effectively guide private investment, and redeem market limitation, consequently speed economic development. On the basis of existing literature review, this paper employs dasiaBarro rulepsila and Karraspsilas theoretic framework, investigates the optimal scale of rural fiscal expenditure in China. The result of experimental analysis indicates, although the overall scale of rural fiscal expenditure in China is increasing, the relative scale is still insufficient. Using the sample data from 1980 to 2005, it sets up the C-D production function model. After the stationary test and cointegration test to time series variables, the ultimate regression model shows that the optimal scale of rural fiscal expenditure is 13.2% of rural GDP, which is much higher than current ratio. Therefore, the government should gradually strengthen the rural fiscal expenditure, consequently speed the rural area economic growth and realize the urban-rural balance development.
Keywords
economic indicators; investment; public finance; regression analysis; Barro rule; C-D production function model; China; Karras theoretic framework; economic growth; government fiscal expenditure; private investment; regression model; rural GDP; rural fiscal expenditure; urban-rural balance development; Agriculture; Conference management; Economic indicators; Engineering management; Government; Investments; Production; Public finance; Technology management; Testing; economic growth; fiscal expenditure; optimal scale; rural;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
Conference_Location
Long Beach, CA
Print_ISBN
978-1-4244-2387-3
Electronic_ISBN
978-1-4244-2388-0
Type
conf
DOI
10.1109/ICMSE.2008.4669062
Filename
4669062
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