Price Behaviour and Market Integration Amongst the Major Potato Markets in India

IF 0.3 Q4 ECONOMICS
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引用次数: 0

Abstract

Variation in potato output over time causes wide price fluctuations, subjecting its producers to a high-risk situation. Using a monthly wholesale price of potato from January 2012 to December 2020, the current study examined the price behaviour of major potato-producing and consuming markets. The study employed correlation analysis, the Johansen Co-integration Test, the Vector Error Correction Model, and Granger Causality test. As determined by the seasonality index, farmers received higher-than-average prices between June and December. Johansen's co-integration result demonstrated that all the selected markets were well integrated in the long run. The Patna market had the fastest adjustment rate (80 per cent), followed by the Mumbai market. Most states had uni-directional price transmission, with Patna being the only state to establish a bidirectional flow of potato prices with the Kolkata market. The Delhi market was discovered to be the key market influencing the prices of all other markets. Keywords: Co-integration, Granger causality, instability, price transmission. JEL Codes: C21, C23, C32, Q13.
印度主要马铃薯市场的价格行为和市场整合
随着时间的推移,马铃薯产量的变化导致价格大幅波动,使其生产者处于高风险的境地。本研究利用2012年1月至2020年12月马铃薯的月度批发价格,考察了主要马铃薯生产和消费市场的价格行为。本研究采用相关分析、约翰森协整检验、向量误差修正模型和格兰杰因果检验。根据季节性指数,农民在6月至12月期间获得的价格高于平均水平。约翰森协整结果表明,所有选定的市场在长期内都是很好的整合。巴特那市场的调整率最快(80%),其次是孟买市场。大多数邦都是单向的价格传导,巴特那是唯一一个与加尔各答市场建立土豆价格双向流动的邦。德里市场被发现是影响所有其他市场价格的关键市场。关键词:协整,格兰杰因果关系,不稳定性,价格传导。JEL代码:C21, C23, C32, Q13。
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来源期刊
CiteScore
0.50
自引率
50.00%
发文量
66
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