Assessing the impact of exchange rate on major agricultural export commodities of Thailand

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Published: Nov 15, 2016
Keywords:
Impact assessment Agricultural exports Seasonal ARIMA Time series analysis Exchange rate Thailand

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Chalermpon, J.
School of Economics, Sukhothai Thammathirat Open University, Nonthaburi, Thailand
Sukprasert, P.
Faculty of Agriculture, Kasetsart University, Bangkok, Thailand
Chulaphan, W.
Faculty of Economics, Maejo University, Chiang Mai, Thailand
Sriariyawat, S.
Office of Agricultural Economics, Bangkok, Thailand

Abstract

The purpose of this study is to measure the impact of exchange rate on major agricultural export commodities of Thailand using time series analysis over the period of January 2001 to December 2013. A seasonal autoregressive integrated moving average with exogenous (SARIMA-X) is modeled to detect the impact of Thai currency fluctuations on export supplies for natural rubber, rice, tapioca, poultry and fishery. After identifying trend and seasonal stationarities, SARIMA(p,d,q)(P,D,Q)s is performed for tapioca and poultry as well as SARMA(p,q)(P,Q)s for natural rubber, rice and fishery. The results show that exchange rate significantly impacts on rice, tapioca, poultry and fishery, but it seems not to have a significant impact on natural rubber even though the time lag effect is included. Policymakers should, therefore, consider the appropriate policies based on these empirical findings to manage the risks on export supplies and national income concerning the fluctuations of exchange rates.

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How to Cite
Chalermpon, J., Sukprasert, P., Chulaphan, W., & Sriariyawat, S. (2016). Assessing the impact of exchange rate on major agricultural export commodities of Thailand. International Journal of Agricultural Technology, 12(6), 973–982. retrieved from https://li04.tci-thaijo.org/index.php/IJAT/article/view/6680
Issue
Vol. 12 No. 6 (2016): November
Section
Original Study
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References

Baek, J. and Koo, W. W. (2009). Assessing the exchange rate sensitivity of U.S. bilateral agricultural trade. Canadian Journal of Agricultural Economics 57:187-203.

Box, G. E. P. and Jenkins, G. M. (1970). Time series analysis, forecasting and control. Holden Day: San Francisco.

Box, G. E. P., Jenkins, G. M. and Reinsel, G. C. (1994). Time series analysis: Forecasting and control. Third edition. Englewood Cliffs, Prentice-Hall: New Jersey.

Dickey, D. and Fuller, W. A. (1979). Distributions of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association 74:427-431.

Dickey, D. and Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49:1057-1072.

Granger, C. W. J. and Newbold, P. (1974). Spurious regressions in econometrics. Journal of Econometrics 2:111-120.

Huang, J. H. and Min, J. H. C. (2002). Earthquake devastation and recovery in tourism: The Taiwan case. Tourism Management 23:145-154.

Kim, M., Cho, G. D. and Koo, W. W. (2004). Does the exchange rate matter to agricultural bilateral trade between Canada and the U.S.? Canadian Journal of Agricultural Economics 52:127-145.

Lai, S. L. and Lu, W. L. (2005). Impact analysis of September 11 on air travel demand in the USA. Journal of Air Transport Management 11:455-458.

MacKinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests. Journal of Applied Econometrics 11:601-618.

May, J. B. (2010). International financial volatility and commodity exports: Evidence from the Thai agricultural sector. American Journal of Agricultural Economics 92:763-775.