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Supply response of wheat in Bangladesh: Cointegration and vector error correction analysis

机译:孟加拉国小麦的供应响应:协整和矢量误差校正分析

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Numerous past studies on wheat cultivation in Bangladesh is criticized for using the weaker Nerlovian Partial Adjustment models and also for analytical interpretation through Ordinary Least Square (OLS) creating spurious results for time series data. This problem can be avoided if Econometric technique of co-integration is used. It is for this the present paper estimates the supply response of wheat in Bangladesh by using the modern technique of co-integration with Vector Error Correction Model (VECM). Our unit root analysis indicates that underlying data series were not stationary and are all integrated of order one, that is I(1). The Johansen multivariate co-integration approach indicates the presence of a co-integrating relationship in the supply response model. Wheat acreage is significantly influenced by price of wheat, and other competing crops such as Boro rice. The non-price factors weather has a highly positive effect on wheat area in the short-run. The wheat supply elasticity’s are found to be inelastic both in the short-and long-run. The long-run and short run price elasticity’s were 0.95 and 0.47, respectively.
机译:孟加拉国过去对小麦种植的许多研究都被批评为使用较弱的Nerlovian局部调整模型,并且还通过普通最小二乘(OLS)进行分析解释,从而为时间序列数据创建了虚假结果。如果使用协整计量经济学技术,则可以避免此问题。为此,本文利用现代误差矢量校正模型(VECM)的集成技术,估计了孟加拉国小麦的供应响应。我们的单位根分析表明,基础数据序列不是平稳的,并且都被整合为一阶即I(1)。 Johansen多元协整方法表明供应响应模型中存在协整关系。小麦的种植面积受到小麦以及其他竞争作物(例如博罗稻米)价格的显着影响。在短期内,非价格因素天气对小麦面积具有非常积极的影响。从短期和长期来看,小麦的供应弹性是无弹性的。长期价格弹性和短期价格弹性分别为0.95和0.47。

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