农民对最低支持价格(MSP)的了解是否影响农场收购价?来自印度的证据

A. K. Srinivasa, K. Praveen, S. Padmaja, M. Nithyashree, G. Jha
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引用次数: 1

摘要

目的研究农户对最低支持价格(MSPs)的认知是否会影响农场收购价。最低限价是印度政府宣布的24种农产品的最低保证价格。印度的大多数农民更喜欢在农场门口出售他们的农产品,因为市场上的剩余很少,因此没有直接从MSP中受益。作者测试了政治话语中的常见论点,即如果农民了解MSP,那么他们可以在农场门口交易时与交易商讨价还价,并要求更接近MSP的价格。设计/方法/方法作者使用匹配方法来检验MSP知识对农场收购价的影响。研究结果:通过使用具有全国代表性的数据,作者表明,没有经验证据表明,对作物的最低边际价值的了解会导致更高的议价能力和更好的农场收购价。仅靠价格信息(本例中的MSP)并不能提高农民的议价能力,从而实现更好的价格实现。作为一个安全网,MSP在没有政府采购产品的情况下失败了。这也提出了印度价格支持系统的公平性问题,并呼吁重新考虑MSP政策。原创性/价值本研究首次使用具有全国代表性的数据集来检验MSP知识对农场价格的锚定效应。
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Does a farmer's knowledge of minimum support price (MSP) affect the farm-gate price? Evidence from India
PurposeThis paper examines whether farmers' knowledge of the minimum support prices (MSPs) affects farm-gate prices. MSP is the minimum guaranteed price for agricultural commodities announced by the Government of India for 24 commodities. Most farmers in India prefer to sell their produce at the farm-gate due to a small marketable surplus and hence do not directly benefit from MSP. The authors test the common argument in the political discourse that if farmers have knowledge of MSP, then they can bargain with traders during the farm-gate transaction and demand a better price close to MSP.Design/methodology/approachThe authors use matching methods to examine the impact of knowledge of MSP on farm-gate prices.FindingsUsing nationally representative data, the authors show that there is no empirical evidence that the knowledge of MSP of the crops leads to higher bargaining power and better farm-gate prices.Practical implicationsPrice information (MSP in this case) alone cannot improve the bargaining power of farmers and result in a better price realization. As a safety net, MSP fails in the absence of procurement of products by the government. This also raises the question of the equitability of the price support system in India and calls for a rethink of the MSP policy.Originality/valueThis study is the first of its kind to examine the anchoring effect of knowledge of MSP on farm-gate prices using a nationally representative dataset.
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来源期刊
CiteScore
2.40
自引率
0.00%
发文量
10
审稿时长
10 weeks
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