Abstract
In this paper, a new random endogenous economic growth model is proposed by introducing an elastic labour supply to a simple AK model. The economic equilibrium of decentralized economy is analysed, and the influences of distorted taxes, government public spending and public consumption on fiscal policy are discussed. Based on these results, equilibrium growth rate and the corresponding economic rules are obtained, and the optimal fiscal policies are given.
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References
Turnovsky, S.J.: Optimal Tax, Debt, and Expenditure Policies in a Growing Economy. Journal of Public Economics 60, 21–44 (1996)
Ireland, P.: Supply-side Economics and Endogenous Growth. Journal of Monetary Economics 33, 559–571 (1994)
Zhang, H.L.: Fiscal Policy and Economic Development. China financial and economic publishing house, Beijing (2004)
Zuo, D.P., Yang, C.X.: Biochemical Course of Economic Growth Theory. China Morden Economics Publishing House, Beijing (2007)
Turnovsky, S.J.: Fiscal Policy, Elastic Labor Supply, and Endogenous Growth. Journal of Monetary Economics 45, 185–210 (2000)
Gomez, M.A.: Optimal Tax Structure in a Two-sector Model of Endogenous Growth. Journal of Macroeconomics 29, 305–325 (2007)
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Zhang, Z. (2012). A Random Endogenous Economic Growth Model and Equilibrium Analysis. In: Xie, A., Huang, X. (eds) Advances in Computer Science and Education. Advances in Intelligent and Soft Computing, vol 140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27945-4_14
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DOI: https://doi.org/10.1007/978-3-642-27945-4_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27944-7
Online ISBN: 978-3-642-27945-4
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