Testing for price transmission in Thailand’s oil palm and palm oil markets: an empirical study using time series analysis

Pacharapon P. Charoenrit, Chalermpon Jatuporn, Sombat Pantavisid, Vasu Suvanvihok, Paisan Rueangrit

Abstract


This study aims to analyze the price transmission within the supply chains of Thailand’s oil palm and palm oil markets. The study employs time-series data from January 2012 to December 2019, which comprises 96 monthly price samples, using econometric analysis, namely, the ADF unit root, Granger causality, co-integration, and error correction model. The empirical results show that (1) there are four causal relationships from crude palm oil price running to palm fruit price, the wholesale price of bottle-refined palm oil, and the retail price of bottle-refined palm oil, and from the wholesale price of bottle refined palm oil running to the wholesale price of gallon refined palm oil. The results further reveal that (2) the palm fruit price has the highest price transmission efficiency, followed by the wholesale price of bottle-refined palm oil, the retail price of bottle-refined palm oil and the wholesale price of gallon refined palm oil. The findings conclude that the crude palm oil price influences the pricing in Thailand’s oil palm and palm oil markets.


Keywords


Energy Crop; Price Integration; Granger Causality; Co-integration; Asymmetry

References


Asteriou, D. and S. G. Hall. 2007. Applied econometrics: A modern approach. (Revised Edition). Palgrave Macmillan: New York, USA.

Bakucs, Z., J. Fałkowski and I. Fertő. 2013. Does Market Structure Influence Price Transmission in the Agro-food Sector? A Meta-analysis Perspective. Journal of Agricultural Economics, 65: 1-25.

Barahona, J. F., B. Trejos, J. W. Lee, W. Chulaphan and C. Jatuporn. 2014. Asymmetric Price Transmission in the Livestock Industry of Thailand. APCBEE Procedia, 8: 141-45.

Chatsirapob, U. 2017. Factors that affect price of palm oil in Thailand The Journal of Development Administration Research, 9: 79-85.

Cramon-Taubadel, S. and J.-P. Loy. 1996. Price Asymmetry in the International Wheat Market: Comment. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 44: 311-17.

Dickey, D. A. and W. A. Fuller. 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74: 427.

Dickey, David A. Fuller, Wayne A. 1981. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49: 1057.

Engle, R. F. and C. W. J. Granger. 1987. Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55: 251.

Granger, C. W. J. 1969. Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37: 424.

Granger, C. W. J. and T. H. Lee. 1989. Investigation of production, sales and inventory relationships using multicointegration and non-symmetric error correction models. Journal of Applied Econometrics, 4: S145-S59.

Granger, C. W. J. and P. Newbold. 1974. Spurious regressions in econometrics. Journal of Econometrics, 2: 111-20.

Jatuporn, C. and P. Sukprasert. 2016. Price integration analysis among rubber markets of Thailand. RMUTT Global Business and Economics Review, 11: 1-10.

Muangsrisun, D., C. Jatuporn, N. Seerasarn and A. Wanaset. 2021. Factors influencing farm-gate shrimp prices in thailand: An empirical study using the time series method. The Journal of Asian Finance, Economics and Business, 8: 769-75.

Office of Agricultural Economics. 2021a. Agricultural statistics of Thailand 2020. Centre for Agricultural Information, Office of Agricultural Economics. Bangkok, Thailand. Place Published.

Office of Agricultural Economics. 2021b. Agricultural commodity situation and trend in 2021. Bureau of Agricultural Economic Research, Office of Agricultural Economics. Bangkok, Thailand.

Office of Agricultural Economics. 2021c. Agricultural economic information classified by commodity in 2020. Centre for Agricultural Information, Office of Agricultural Economics. Bangkok, Thailand.

Rungrennganun, V., S. Talabgaew and S. Cherdchoongam. 2015. Mechanism for analyzing the situation of palm oil price. Final Research Report. Thailand Research Fund. Bangkok, Thailand.

Saleerut, S., C. Jatuporn, V. Suvanvihok and A. Wanaset. 2020. Price adjustment of oil palm and palm oil in thailand to the world price of the palm oil market. Asian Journal of Agriculture and Rural Development, 10: 690-97.

Vavra, P. and B. Goodwin. 2005. Analysis of price transmission along the food chain. Organisation for Economic Co-Operation and Development (OECD).


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DOI: 10.33687/ijae.009.03.3656

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