Price support policy and market price dynamics: The case of Indian wheat

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY Agricultural Economics Pub Date : 2024-03-06 DOI:10.1111/agec.12825
Ashutosh K. Tripathi
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Abstract

The study investigates the effect of price support policies on market price distribution and its dynamics in the Indian wheat market. The analysis uses a quantile autoregression model that provides a flexible representation of price dynamics and the 2001–2020 monthly wholesale market price data. The analysis is conducted conditional on the net stock level held in the previous period. The results reveal that the net purchase by the government prevented very low market prices for wheat but resulted in price spikes. It has a price-enhancing effect as well. The associated moments of price distribution show that public stockholding reduced variation in market price distribution. However, the government's release of stock did not prevent price rises. Findings show that dynamic adjustments tend to be qualitatively different across regimes. Government intervention in the grain market reduced stability through dynamic adjustments in wheat market prices. The results have policy implications for India and other countries in Southeast Asia in the context of the WTO's negotiations on public stockholdings and using public stockholdings as an instrument in addressing price volatility and food shortages.

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价格支持政策与市场价格动态:印度小麦案例
本研究调查了价格支持政策对印度小麦市场价格分布及其动态的影响。分析采用了一个能灵活表示价格动态的量化自回归模型和 2001-2020 年的月度批发市场价格数据。分析的条件是前一时期的净库存水平。结果显示,政府的净购买防止了小麦市场价格极低,但却导致了价格飙升。它还具有价格提升效应。价格分布的相关矩表明,政府的库存减少了市场价格分布的变化。然而,政府释放库存并不能阻止价格上涨。研究结果表明,不同制度下的动态调整往往有质的不同。政府对粮食市场的干预通过对小麦市场价格的动态调整降低了稳定性。这些结果对印度和东南亚其他国家在世界贸易组织关于公共储备的谈判中以及将公共储备作为解决价格波动和粮食短缺问题的工具方面具有政策意义。
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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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