اعتبارات بانکی و رشد سرمایهگذاری در بخش کشاورزی ایران
Subject Areas : Environmental policy and management
Mehdi
Shabanzadeh
1
(Ph.D. Student of Agricultural Economics, Faculty of Agricultural Economic and Development, university of Tehran)
Reza
Esfanjari Kenari
2
(Ph.D. of Agricultural Economics, Faculty of Agricultural Economics, Zabol University)
Parinaz
Jansouz
3
(Ph.D. Student of Agricultural Economics, Faculty of Agricultural Economics, University of Sistan and Baluchestan)
Mohammad
Kavoosi Kalashami
4
(Assistant professor, Department of Agricultural Economics, Faculty of Agricultural Sciences, University of Guilan)
Keywords: درآمدهای نفتی, اعتبارات بانکی, رشد سرمایهگذاری, الگوی Ardl,
Abstract :
در پژوهش حاضر ارتباط میان اعتبارات بانکی و رشد سرمایه‏گذاری در بخش کشاورزی ایران طی دوره زمانی 2011-1982 با استفاده از الگوی خود توزیع برداری (ARDL) مورد بررسی قرار گرفته است. جهت دستیابی به این هدف، رشد سرمایه‏گذاری در بخش کشاورزی ایران تابعی از درآمدهای نفتی، اعتبارات بانکی، ارزش افزوده بخش کشاورزی و موجودی سرمایه در این بخش در نظر گرفته شده است. نتایج حاصل از پژوهش حاضر نشان می‏دهد که میان متغیرهای لحاظ شده در الگوی سرمایه‏گذاری بخش کشاورزی، ارتباط بلندمدت وجود دارد. از میان متغیرهای فوق اعتبارات بانکی بیشترین اثر را بر رشد سرمایه‏گذاری در بخش کشاورزی ایران دارد به طوری که افزایش دسترسی به اعتبارات نقش اساسی را در تشویق سرمایه‏‏گذاری در بخش کشاورزی ایران ایفا می‏نماید. هم­چنین کشش اعتبارات بانکی، درآمد نفتی، موجودی سرمایه و ارزش افزوده بخش کشاورزی نسبت به سرمایه‏گذاری در مطالعه حاضر به ترتیب 103/0، 015/0، 049/0 و 058/0- محاسبه شده است.
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.