نوع مقاله : مقاله پژوهشی
نویسندگان
1 عضو هیات علمی مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گلستان
2 کارشناس ارشد اقتصاد کشاورزی
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
This study has conducted in order to investigate the impact of supportive price policy on the development of cotton acreage in Golestan province. For this purpose, time series data, ARDL and ECM models were used. Based on the results, although the impact of the increase of cotton relative price on its acreage in the short and long-term time horizons was significantly positive, but it is not substantial. So motivating farmers to increase cotton acreage requires a significant increase in its price compared with the price of wheat due to the cost load, making it will not be possible for the government practically. Therefore, relying solely on price policy supports in current form is not remedial and non-price supports for the realization of increasing cotton acreage and production is necessary. Based on the results, the impact of rice acreage on changes in cotton acreage in this province is negative as expected but this impact was not significant. The results also indicate that the prevalence of Canola acreage in Golestan province from the mid-seventy decade, did not affect the cotton acreage and it was not a competitor product. According to the adjustment coefficient (-0.64) in error correction model, if appropiative support price and non-price policies to be adopted, cotton acreage will return to its equilibrium amount in the short term.
کلیدواژهها [English]
10. 10-Kopahi, M. 2013. Agricultural economics principles, Tehran University Publications
11. 11-Lanteri, L. 2010. Argentina Soybean Acreage Response to Changes in Price Incentives, Central Bank of Argentina, Economic Essays, No. 52
12. 12-Lütkepohl, H. 1985. Comparison of Criteria for Estimating the Order of a Vector Autoregressive Process, Journal of Time Series Analysis, Vol 6: 35-52
13. 13-Pesaran, M.H. and Pesaran, B. 1997. Working with Microfit 4.0: An Interactive Introduction to Econometrics, Oxford University Press
14. 14-Salami, H. and Jahangard, L. 2009. Time Series Modeling to Predict the Apples and Oranges Consumption in Iran, Journa of Agricultural Economics and Development, No 67Ethiopia: An Error Correction Model,. Agrekon, No 42: 389-404
15. 15-Shepherd, B. 2006. Estimating Price Elasticity of Supply for Cotton: A Structural Time Series Approach, FAO Commodity and Trade Policy Research, Working Paper, No 21
16. 16-Yeong-Sheng, T.D., Suryani, A. and Nurjihan, I.2010. Acreage Response of Paddy in Malaysia,Agric. Econ. Czech, 56 (3): 135–140