Spatial Market Integration, Price Transmission and Transaction Costs in Major Onion Markets of India

Mumtaz Ahmed, Naresh Singla
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引用次数: 1

Abstract

The price information is one of the prime objectives of marketing strategies, and the farmers are unable to determine the marketing strategies without knowing the price movements of the agricultural commodities. In this context, the study has examined the spatial price integration among four major onion markets using the threshold vector error correction model (TVECM) that takes into account transaction costs in the price adjustment process. Augmented Dickey–Fuller and Phillips–Perron tests for unit root suggest that the time series is I(1). The application of the Johansen cointegration technique supports the presence of long-run price association and equilibrium in all pairs of onion markets. The Granger Causality test unveils that Bengaluru Granger causes all the markets except Kolkata. The Hansen and Seo supreme Lagrange Multiplier (SupLM) test of linearity suggests that non-linear TVECM with one threshold and two regimes is best fit for the underlying data for three pairs of markets. While the rest of the three pairs, the SupLM test rejects the null of linearity, therefore, linear vector error correction model (VECM) is estimated. Finally, VECM and TVECM results reveal that Mumbai and Bengaluru are dominant markets in price formation in rest of the markets. Against these findings, it is suggested that the prices should be stabilised in the dominant markets so that the price shocks are not transferred to other markets. The threshold parameter, which is analogous to transaction cost, reveals the high transaction costs between the selected markets pairs, especially Mumbai and Delhi. One of the reasons for the high transaction costs may be the inefficiencies in infrastructure and communication. While a more correct explanation for this difference can be attributed to the differences in marketing fees, taxes, commission charges, license fees, etc., across the spatially separated agricultural markets. JEL Codes: Q1, Q13, D4, C22, D23
印度主要洋葱市场的空间市场整合、价格传导与交易成本
价格信息是营销策略的主要目标之一,在不了解农产品价格变动的情况下,农民无法确定营销策略。在此背景下,本研究利用阈值向量误差修正模型(TVECM)考察了四个主要洋葱市场的空间价格整合,该模型考虑了价格调整过程中的交易成本。单位根的增广Dickey-Fuller和Phillips-Perron检验表明时间序列为I(1)。约翰森协整技术的应用支持长期价格关联和均衡存在于所有对洋葱市场。格兰杰因果检验表明,除加尔各答外,班加罗尔是所有市场的格兰杰原因。Hansen和Seo对线性的最高拉格朗日乘数(SupLM)检验表明,具有一个阈值和两个制度的非线性TVECM最适合三对市场的基础数据。而其余的三对,SupLM检验拒绝线性零,因此,估计线性向量误差修正模型(VECM)。最后,VECM和TVECM结果显示,孟买和班加罗尔是其他市场价格形成的主导市场。根据这些发现,建议在主导市场稳定价格,这样价格冲击就不会转移到其他市场。阈值参数类似于交易成本,揭示了所选市场对之间的高交易成本,特别是孟买和德里。交易成本高的原因之一可能是基础设施和通信效率低下。而对这种差异更正确的解释可以归因于营销费用、税收、佣金、许可费等在空间上分离的农业市场上的差异。JEL代码:Q1, Q13, D4, C22, D23
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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