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
Link To Document :
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