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A cointegration analysis of crude palm oil price in Thailand

Songsiengchai Patchaya, Sidique Shaufique Fahmi, Djama Marcel, Azman-Saini W.N.W.. 2018. A cointegration analysis of crude palm oil price in Thailand. In : Towards inclusive and sustainable agriculture. Harmonizing environmental, social and economic dimensions: Is it possible?. Chalil Diana (ed.), Shaufique Fahmi Sidique (ed.), Barus Riantri (ed.), Abdul Hadi Ahmad Hanis Izani (ed.), Khaliqi Muhammad (ed.), Fatoni Moh. Ibrahim (ed.). Les Ulis : EDP Sciences, pp. 262-269. (E3S Web of Conferences, 52) ISBN 978-1-5108-7008-6 CSSPO International Conference 2018, Kuching, Malaisie, 9 July 2018/11 July 2018.

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Abstract : Reliazing the pass-through effects of global commodity prices on domestic prices, this study develops a vector error correction model (VECM) to test for the determinants and direction of causality between global prices and crude palm oil (CPO) price in Thailand. Malaysian crude palm oil, world soybean oil and world crude oil prices were investigated as factors affecting the Thai CPO price. Using the Johansen cointegration test, the result unveils a presence of long-run relationship among the determinants. This long-run relationship, proposes that CPO price flows in Thailand are positively influenced by the Malaysian CPO price and the error correction term suggests that approximately 35 percent of total disequilibrium in Thai CPO price was corrected in the following month. Moreover, the findings show Granger causality from each of the Malaysian CPO price and the world soybean oil price for the Thai CPO price. Information flow regarding the price movements of the Malaysian CPO and soybean oil affect the Thai CPO price and vice-versa. Whereas, the evidence for a causal relationship that runs from the world crude oil price to the Thai CPO price is found, but not in reverse.

Auteurs et affiliations

  • Songsiengchai Patchaya, Nakhon Ratchasima Rajabhat University (THA)
  • Sidique Shaufique Fahmi, Universiti Putra Malaysia (MYS)
  • Djama Marcel, CIRAD-ES-UMR MOISA (MYS) ORCID: 0000-0002-5383-5744
  • Azman-Saini W.N.W., Universiti Putra Malaysia (MYS)

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Source : Cirad-Agritrop (https://agritrop.cirad.fr/589316/)

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