1. Alipour, A., Mosavi, S. H., Khalilian, S. and Mortazavi, S. A. (2018). Climate Change and Prospect of Wheat Self-Sufficiency in Iran; (Effectiveness of Guaranteed Purchasing Policy). 11th Biennial Conference on Agricultural Economics in Iran. Tehran University, Karaj, Iran.
2. Al Mamun, MD., Sohag, K., and Hannan Mia, M.A, & Ozturk, I. (2014). Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth. Renewable and Sustainable Energy Reviews. 38: 1–11.
3. Asafu-Adjaye, J. Byrne, D. Alvarez, M. (2016). Economic growth, fossil fuel and non-fossil consumption: A Pooled Mean Group analysis using proxies for capital. Energy Economics. 60: 345-356.
4. Bai, J. and Ng. S. (2004). A panic attack on unit roots and cointegration. Econometrica. 72(4): 1127-1177.
5. Baltagi, B.H. (2005). Econometric Analysis of Panel Data. Third Edition, Wiley Publisher.
6. Bangake, C. Eggoh, J. C. (2012). Pooled Mean Group estimation on international capital mobility in African countries. Research in Economics. 66(1): 7-17.
7. Bassanini, A. Scarpetta, S. (2001). Does human capital matter for growth in OECD countries? Evidence from pooled mean-group estimates. OECD Economics Working Paper No. 282.
8. Chepng’eno, W. (2018). Effect of price and exchange rate volatility on Kenya’s black tea export demand: A pooled mean group estimation. Journal of Development and Agricultural Economics. 10(3): 71-78.
9. Choi, I. (2006). Combination unit root tests for cross-sectionally correlated panels. In: Corbae D, Durlauf SN, Hansen BE, editors. Econometrics theory and practice: frontiers of analysis and applied research, 311. Cambridge: Cambridge University Press. pp. 333.
10. Davies, A. and Lahiri, K. (1995). A new framework for analyzing survey forecasts using three-dimensional panel data. Journal of Econometrics. 68(1): 205-227.
11. De Hoyos, R. E. and Sarafidis, V. (2006). Testing for cross-sectional dependence in panel-data models. The Stata Journal. 6(4): 482-496.
12. Esam A, B. (2017). Economic Modelling and Forecasting of Sugar Production and Consumption in Egypt. International Journal of Agricultural Economics. 2(4): 96-109.
13. Gagniuc, P. A. (2017). Markov Chains: From Theory to Implementation and Experimentation. USA, NJ: John Wiley & Sons. pp. 1–256. ISBN 978-1-119-38755-8.
14. Gerald, S. (1974).supply elasticities for Sao Paulo coffee. American Journal of Agricultural Economics. 56 (1): 117-131.
15. Debertin, D. (2012). Agricultural Production Economics. University of Kentucky. (Second Edition, Amazon Create space 2012).
16. Garshasbi, A., Yavari, K., Najarzadeh, R. and Homayunifar, M. (2012). Price and Non-Price Factors Effects on Wheat Cultivation Acreage in Provinces by Using Panel Data. Iranian Journal of Agricultural Economics. 6(2): 189-204. (In Persian)
17. Goswami, G. G. Junayed, H. S. (2006). Pooled Mean Group Estimation of the Bilateral Trade Balance Equation: USA vis‐à‐vis her Trading Partners. International Review of Applied Economics. 20(4): 515-526.
18. Greene, W. H. (2012). Econometric Analysis, 7th Edition. Stern School of Business, New York University, Pearson.
19. Hansen, H. O. (2016). Agricultural policy schemes: price and support systems in agricultural policy. Book chapter. Reference Module in Food Science, Elsevier.
20. Im, K., Pesaran, M., Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics. 115(1): 53-74.
21. Iranian Ministry of Agriculture. (2015). Annual Year Book. Available at http://www.maj.ir.
22. Iranian Ministry of Health. (2013). Good food basket for Iranian society. Qom; Andisheh Mandegar Press.
23. Jennings, A. N., Young, R. J. (1980). Generalization of the Nerlove Supply Model Using Time Series Methodology: an Application to Potato Plantings in Great Britain. Journal of Agricultural Economics. 31(1): 99-111.
24. Khan, M. Khair, Z. (2010). Production and Acreage Response of Wheat in the Northwest Frontier Province (Nwfp), Sarhad. J. Agric. 26:1-7.
25. Khorramdel, S. Rezvani Moghaddam, P. Amin Ghafori, A. (2014). Evaluation of environmental impacts for wheat Agroecosystems of Iran by using Life Cycle Assessment methodology. Cereal Research. 4(1): 27-44. (In Persian)
26. Laajimi, A. Schroeder, K. Meyers, W. Binfield, J. (2016). The Tunisia Wheat Market in the Context of World Price Volatility: A Stochastic Partial Equilibrium Approach. Journal of Food Products Marketing. 1540-4102.
27. Lin, W. (1977). Measuring aggregate supply response under instability. American journal of Agricultural Economics. 59: 903–904.
28. Mattison E. H.A. and Norris K. (2005). Bridging the gaps between agricultural policy, land-use and biodiversity. Trends in Ecology and Evolution. 20(11): 610-616.
29. Moon, R. and Perron, B. (2004). Testing for unit root in panels with dynamic factors. Journal of Econometrics. 122(1): 81-126.
30. Mosavi, S. H. Alipour, A. Shahvari, N. (2017). Liberalizing Energy Price and Abatement Cost of Emissions: Evidence from Iranian Agro-Environment. Journal of Agricultural Science and Technology. 19(3): 511-523.
31. Muchapondwa, E. (2009). Supply response of Zimbabwean agriculture: 1970-1999. African Journal of Agricultural and Resource Economics. 3(1): 28-42.
32. Nerlove, M. (1956). Estimates of the elastic ties of supply of selected agricultural commodities. Journal of farm Economics. 38: 496-509.
33. Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. J Appl Econ. 22(2):265–312.
34. Office of Research and Policy Departments of the Ministry of Economic Affairs and Finance (2013). A glance at the historical course of the destruction of the country's water resources, causes, consequences and solutions. Available at: (http: // www.mefa.gov.ir).
35. Pesaran, M.H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels' IZA, Discussion Paper No 1240.
36. Pesaran, M.H, Shin, Y., & Smith, R. (1999). Pooled Mean Group Estimator of Dynamic Heterogeneous Panels. Journal of American Statistical Association. 94: 34-621.
37. Pesaran, M. H. and Smith, R. (1995). Estimating long-run relationships from dynamic heterogenous panels. J Econ. 68(1): 79–113.
38. Siad, S.M., Gioia, A., Hoogenboom, G., Iacobellis V., Novelli A., Tarantino, E. and Zdruli, P. (2017). Durum wheat cover analysis in the scope of policy and market price changes: A case study in Southern Italy. Agriculture. 7(12): 2-20.
39. Taheri, F., Yazdani, S. and Mohammdi, H. (2009). Impacts of Government Supporting Policies on Wheat Supply, Cropping Area and Yield in Iran: Application of Autoregressive Distributed Lag Model. Iranian Journal of Agricultural Economics Researches. 1(1): 95-114. (In Persian)
40. Tan, K. Y. (2009). A Pooled Mean Group Analysis on Aid and Growth. Applied Economics Letters. (16): 1597–1601.
41. Van Meijl, H., Van Rheenen, T., Tabeau, A. and Eickhout, B. (2006). The impact of different policy environments on agricultural land use in Europe. Agriculture, Ecosystems and Environment 114 (2006): 21–38