Factors affecting groundnut output in Andhra Pradesh: co-integration and error-correction modeling

None ASHOK KUMAR, None K N SINGH, None S P BHARDWAJ
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Abstract

Groundnut is an important oilseed crop of India. The area under groundnut in India was maximum (8.0 million ha), however the production was less due to the lowest yield (938 kg/ha) among all Asian countries. Thus it becomes more important to identify the factors affecting groundnut productivity which is directly related to the farmer's income, sustainable supply and the price stabilization. Unless until the factors affecting groundnut productivity are known, the corrective measures can not be initiated. In this paper efforts have been made to examine whether producer's price, area cultivated, fertilizer applied and rainfall have an important effect on groundnut production in Andhra Pradesh using co-integration and error correction modeling. Co-integration and error correction modeling tend to solve spurious regression results obtained from the analysis of macro-economic data and also establish an equilibrium long-run relationship which enables one to carry out a valid inference of the explanatory variables that are responsible for affecting the output of the crop. A stationary test was performed which revealed only rainfall series was stationary at level, while other series become stationary at first differencing applying the unit root test. Johansen co-integration and error correction procedure was adopted which indicates the existence of five co-integrating vectors at 1% level of significance, hence rejecting the null hypothesis of no co-integrating vector. Further, a parsimonious error correction model was applied. The statistical significance of error correction model for groundnut validates the existence of an equilibrium relationship among the variables. The results, therefore, indicate the combined effect of area, fertilizer, rainfall and price jointly affect the output of groundnut in Andhra Pradesh. Therefore, a favorable price policy, assured irrigation and timely supply of fertilizers at remunerative price would help the farmers to allocate more area under groundnut. These measures are necessary to enhance the productivity as well as income of the farmers and also supply of groundnut in the benefit of consumers.
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影响安得拉邦花生产量的因素:协整和误差修正模型
花生是印度重要的油料作物。印度花生种植面积最大(800万公顷),但产量较低,因为在所有亚洲国家中产量最低(938公斤/公顷)。因此,确定影响花生产量的因素就显得尤为重要,因为它直接关系到农民的收入、可持续供应和价格稳定。除非知道影响花生产量的因素,否则不能采取纠正措施。本文利用协整和误差修正模型,研究了安得拉邦花生生产的生产者价格、种植面积、肥料施用量和降雨量是否对花生生产产生重要影响。协整和误差修正模型倾向于解决从宏观经济数据分析中获得的虚假回归结果,并建立均衡的长期关系,使人们能够对影响作物产量的解释变量进行有效的推断。进行平稳性检验,发现只有降雨序列在水平上是平稳性的,而其他序列在单位根检验下是平稳性的。采用Johansen协整误差校正程序,表明在1%显著性水平下存在5个协整向量,因此拒绝无协整向量的原假设。在此基础上,提出了一种简化的误差修正模型。花生误差修正模型的统计显著性验证了变量之间存在均衡关系。结果表明,面积、肥料、降雨和价格的综合效应共同影响安得拉邦花生产量。因此,优惠的价格政策、有保障的灌溉和及时的肥料供应将有助于农民分配更多的花生种植面积。这些措施对于提高农民的生产力和收入以及为消费者提供花生是必要的。
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