Document Type: Original Article

Authors

1 Ph.D. Student of Agricultural Economics, Faculty of Agricultural Economic and Development, university of Tehran

2 Ph.D. of Agricultural Economics, Faculty of Agricultural Economics, Zabol University

3 Ph.D. Student of Agricultural Economics, Faculty of Agricultural Economics, University of Sistan and Baluchestan

4 Assistant professor, Department of Agricultural Economics, Faculty of Agricultural Sciences, University of Guilan

Abstract

This study were examined relationship between bank credits and investment growth of agricultural sector in Iran during the period of 1982-2011 by auto regressive distribution lag bounds test approach. Basically, the growth investing of the agricultural sector in Iran is related to oil revenues, bank credits, value added of agriculture sector and capital stock. The results confirm the existence of a long-run relationship between variables in model. In addition, according to the results, bank credit is the most significant variable in explaining the growth investing, so that increases access to it will encourage growth investment of the agricultural sector in Iran. The estimations show that elasticity of bank credits, oil revenues, stock    investment and value added are 0.103, 0.015, 0.049 and -0.058 in the agricultural sector respectively.

Keywords

1- Bardsen, G. (1989). Estimation of long-run coefficients in error correction models. Oxford Bulletin of Economics and Statistics 51 (3), 345–350.

2- Dickey, D.A., & Fuller, W.A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Society, 75, 427–431.

3- Elliott, G., Rothenberg, T.J., & Stock, J.H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64, 813–836.

4- Engle, L.F., & Granger, G.W.J. (1987). Cointegration and error correction: representation, estimation and testing. Econometrica, 55, 251- 276.

5- Harris, R., & Sollis, R. (2003). Applied time series modelling and forecasting. Wiley, West Sussex.

6- Johansen, S. (1988). Statistical analysis of cointegrating vectors. Journal of Economic Dynamics and Control, 12, 231–254.

7- Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59, 1551–1580.

8- Johansen, S. (1996). Likelihood-based inference in cointegrated vector auto-regressive models (2nd). Oxford: Oxford University Press.

9- Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration: with application to the demand for money. Oxford Bulletin of Economics and Statistics, 52, 169–210.

10- Kwiatkowski, D., Phillips, P.C.B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationary against the alternative of a unit root. Journal of Econometrics, 54, 159–178.

11- Mah, J.S. (2000). An empirical examination of the disaggregated import demand of Korea — the case of information technology products. Journal of Asian Economics, 11, 237–244.

12- Maddala, G.S., & Kim, I. (1998). Unit roots, cointegration, and structural change. Cambridge University Press, Cambridge.

13- Ng, S., & Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69, 1519–1554.

14- Odhiambo, M.N. (2009). Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach. Energy Policy, 37, 617–622.

15- OECD, (1998). Agricultural Policies, Markets and Trade: Monitoring and Outlook 1998 in the Central and Eastern European Countries, New Independent States, Mongolia and China. Paris: OECD.

16- Pesaran, M.H., & Pesaran, B. (1997). Working with microfit 4.0. Camfit Data Ltd, Cambridge.

17- Pesaran, M.H., Shin, Y., & Smith, R. J. (1996). Testing for the existence of Economics, Working paper, No. 9622, University of Cambridge.

18- Pesaran, M.H., Shin, Y., & Smith, R.J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289–326.

19- Phillips, P., & Hansen, B. (1990). Statistical inference in instrumental variables regression with
I (1) process. Review of Econometric Studies, 57, 99-125.

20- Phillips, P.C.B., & Perron, P. (1988). Testing for a unit root in time series regressions. Biometrica, 75, 335–346.

21- Sameti, M., & Faramarzpour, B. (2005). Examine barriers to private investment in agriculture of Iran. Journal of Agricultural Economics and Development, 45, 91-112.

22- Shakeri, A. (2004). The status of agricultural sector in the process of economic development of Iran. Agriculture Development Economic, 48, 17-35.

23- Shakeri, A., & Mousavi, M.H. (2009). Solutions provide increased incentives of investment in agriculture. Agricultural Economics, 3, 1-26.

24- Sonka, S.T., & Patrick, G. F. (1984). Risk management and decision making in agricultural firms. Iowa State University Press, Iowa, U.S.A. 95-115.

25- Swinnen, J. F. M., & Gow, H. R. (1999). Agricultural credit problems and policies during the transition to a market economy in Central and Eastern Europe. Food Policy, 24, 21–47.

26- Tang, T.C. (2004). Demand for broad money and expenditure components in Japan: an empirical study. Japan and the World Economy, 16, 487–502.

27- Tang, T.C. (2005). Revisiting South Korea's import demand behavior: a co integration analysis. Asian Economic Journal, 19 (1), 29–50.

28- Wang, Y.S. (2009) .The impact of crisis events and macroeconomic activity on Taiwan’s international inbound tourism demand. Tourism Management, 30, 75–82.