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May 9, 20260 citationsOpen Access

Integration of Ground Nut Markets in Karnataka: An Economic Analysis

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SDS. DeekshithAJAmrutha T. JoshiDBDEVENDRA BEERALADINNI

Key Points

  • This analysis aims to assess price integration, stationarity, and causal relationships across groundnut markets in Karnataka.
  • Examined price synchronization using correlation analysis among five markets: Vijayapura, Ballari, Challakere, Chitradurga, and Davangere.
  • Conducted stationarity tests with the Augmented Dickey-Fuller method to determine market behavior.
  • Utilized Granger Causality tests and the Vector Error Correction model to analyze price dynamics.
  • Ballari, Challakere, Chitradurga, and Davangere show strong price synchronization with coefficients above 0.80, while Vijayapura displays weak correlations (0.19 to 0.22).
  • Granger Causality tests reveal significant relationships particularly between Chitradurga and Ballari (F = 10.05, p = 0.0001) and between Chitradurga and Challakere (F = 13.18, p = 0.00001).
  • Vijayapura corrects deviations from long-run equilibrium at 54.5% speed, while Davangere adjusts at 4% (t = 3.82).

Abstract

This study investigates the price integration, stationarity, and causal relationships among groundnut markets in Karnataka, focusing on Vijayapura (VJPR), Ballari (BLRI), Challakere (CLKR), Chitradurga (CTDR), and Davangere (DVGR). Correlation analysis reveals strong price synchronization among Ballari, Challakere, Chitradurga, and Davangere, with coefficients above 0.80, such as the 0.95 between Ballari and Challakere. However, Vijayapura shows weak correlations with other markets, ranging from 0.19 to 0.22, indicating its price independence. Stationarity tests using the Augmented Dickey-Fuller method show that most markets become stationary only at first difference, supporting the use of co-integration analysis. Granger Causality tests highlight significant relationships, particularly between Chitradurga and Ballari (F = 10.05, p = 0.0001) and between Chitradurga and Challakere (F = 13.18, p = 0.00001), while Vijayapura’s prices are largely unaffected by other markets. The Vector Error Correction (VEC) model shows that the Vijayapura market corrects deviations from long-run equilibrium at a speed of 54.5% (t = -4.26), while Davangere shows a slower but significant adjustment (4%, t = 3.82). Short-run dynamics indicate that Ballari and Davangere exert significant influence over other markets. These findings highlight the complexity of groundnut price movements in Karnataka.

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Cite This Study

Deekshith et al. (2025) studied this question.

synapsesocial.com/papers/69fed008b9154b0b8287705chttps://doi.org/10.22004/ag.econ.400067
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Determinants of Groundnut Market Linkages in Karnataka: Evidence from Correspondence Analysis2025
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  4. 4Market Dynamics of Groundnut in Karnataka, India: A Study on Price and Arrival Instability2025
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