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Research Article Open access CC BY 4.0

An Application of Markov Chain Analysis to Study the Indian Cocoa Products Export Performance

Abhilash, Satishkumar M, Amrutha T Joshi, Manoj Kumar G, B S Reddy

Advances in Research · pp. 259–265 · Published 24 Apr 2024

10.9734/air/2024/v25i31070

Abstract

The paper attempts to quantify the changing structure of Indian cocoa product exports. Data for analysis was considered for a period of 10 years from 2013-14 to 2022-23. The growth rates of exports of Indian cocoa products to Nigeria, Indonesia, USA, UAE, The Netherlands and other countries have shown a positive trend. The Markov chain analysis was attempted through the linear programming method to assess the transition probabilities for the major cocoa markets. The results revealed that Nigeria, Nepal, UAE and other countries were stable markets for Indian cocoa export products. Whereas, Indonesia and The Netherlands were the least stable markets based on the magnitude of transition probabilities. The export share predictions for 2025-26 behaved stagnant while also increasing slightly for major destinations.

Cocoa destination growth rate predictions stable markets

References (10)

  1. 1 Analyzing and Designing Business Processes in the Ghana Cocoa Supply Chain for Supporting Inclusiveness [DOI]
  2. 2 Growth, Export Performance and Competitiveness of Basmati and Non-Basmati Rice of India-an Markov Chain Approach [DOI]
  3. 3 Stability Analysis of Indian Spices Export – A Markov Chain Approach [DOI]
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  5. 5 An Analysis of Indian Sugar Exports: Markov Chain Approach [DOI]
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Cited by 3

Forecasting Peruvian Blueberry Exports for Sustainable Agricultural Trade Management: Markov Chains, SARIMA, and Log-Linear Growth

Jean Michell Carrión-Mezones, Francisco Eduardo Cúneo-Fernández, Rogger Orlando Morán-Santamaría · Sustainability · 2026

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