SARIMA Models Applications for Demand Forecasting and Supply Planning of Natural Rubber in Thailand

Main Article Content

Pawinee Paisri
Weerapat Sessomboon
Rojanee Homchalee

Abstract

          Rubber is the important economic crops and export products of Thailand. Studying and forecasting the demand of rubber could be used as information for supply planning including production and cultivate area. Time series analysis was used to formulate the forecasting model for export volume of Concentrated Latex, RSS Grade 1, and Crepe Rubber. The appropriate forecasting time series models were  gif.latex?SARIMA(0,0,0)&space;(0,1,1)_{12}   gif.latex?SARIMA(0,1,1)&space;(1,1,0)_{12}  and gif.latex?SARIMA(0,1,1)&space;(1,1,0)_{12} , respectively.  After that historical statistics of production and stock were used to estimated rubber production and cultivate area corresponding to forecast including domestic demand and export. In the year 2022, Thailand should produce rubber about 1.573 million tons, which requiring cultivate area is about 6.561 million rai, respectively. The research results could be used to plan and set the appropriate policy for Thai rubber production. Consequently, Thailand should reduce the rubber plantation area by 12.659 million rai and then promote the planting of other economic crops. This is to achieve a balance between demand and supply.

Article Details

Section
Research Article

References

[1] Farm Thailand. “Agricultural News, Export of Thai Agricultural Products,” (In Thai). [Online]. Available: https://www.farmthailand.com/399. [accessed Oct 19, 2017].

[2] Domestic Economy, " Agricultural Products Exports in 2017, Rice-Rubber in the World Market," (In Thai). Prachachat Business Newspaper, Vol. 39, No.4904 pp. 3, Monday 9 - Wednesday 11 January 2017.

[3] Mookda Manmin, Time Series and Forecasting, (In Thai). Bangkok: Prakaipruek Publishing, 2006.

[4] G. E. P. Box, et al., Time Series Analysis: Forecasting and Control, 3rd ed. New Jersey: Prentice Hall, Englewood Cliffs, 1994.

[5] Songsiri Taesombat, “Quantitative Forecasting,” (In Thai). Bangkok: Kasetsart University Press, 2006.

[6] R. Fildes and S. Makridakis, "The Impact of Empirical Accuracy Studies on Time Series Analysis and Forecasting, International Statistical Review, Vol. 63 No. 3, pp. 289-308, 1995.

[7] H. Charles C, "Forecasting Seasonals and Trends by Exponentially Weighted Moving Averages," International Journal of Forecasting, Vol. 20, No. 1 pp. 5-10, Jan-Mar 2004.

[8] Chalermpon Jatuporn and Patana Sukprasert, "Forecasting Models for Rubber Production and Export Quantity of Thailand," (In Thai). Khon Kaen Agriculture Journal, Vol. 44, No. 2, pp. 219-228, 2016.

[9] Pennapa Putzon, "The Forecast of Export Quantity of the Rubber Ribbed Smoked Sheets 1 by Box-Jenkins Method,"
(In Thai). B.Sc. Statistics. Burapha Universiry., Chon Buri, Thailand, 2013.

[10] Warangkhana Keerativibool, "Forecasting the Export Quantity of the Rubber Compound," (In Thai). SWU Science Journal, Vol. 30, No. 2, pp. 41-56, 2014.

[11] The Customs Department. Import-Export Statistics. (In Thai). [Online]. Available: https://www.customs.go.th/statistic_report.php?tab=by_tariff_classification. [accessed Oct 25, 2017]

[12] Office of Agricultural Economics.Situation and Trend of Important Agricultural Products in 2018. (In Thai). [Online]. Available: https://www.oae.go.th/oaenew/OAE/. [accessed Jan 19, 2017].

[13] C.D. Lewis, International and Business Forecasting Methods. London: Butterworth Scientific, 1982.