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The Projection of Thai Manufacturing Export in the Bayesian VAR Model

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Published:30 September 2022Publication History

ABSTRACT

This research aims to study the effects of manufacturing value-added, consumer price index, and exchange rate on manufacturing exports in the context of Thailand by utilizing the Bayesian Vector Autoregression (BVAR) model with the annual modified data from 1960 to 2019. This model shows the interactions between these four variables and the forecast result. It was revealed that the effect of the exchange rate can pass through the consumer price index, which further affects manufacturing exports. According to the research results, government authorities should pay attention to domestic price control by controlling the general price level by indirectly controlling the exchange rate, which passes through its effect on domestic prices, and directly controlling domestic prices via monetary and fiscal policy. In addition, manufacturers should pay attention to the reduction of the production cost by investing in modern technology and reducing the per unit cost, which leads to a price reduction.

References

  1. D. K. Das and P. Kukreja (2020), “Value Addition, Jobs and Skills: A Study of India's Exports,” ICRIER Working Paper 392, 1-4.Google ScholarGoogle Scholar
  2. G. Buturac, D. Mikulić, and P. Palić (2019). “Sources of export growth and development of manufacturing industry: Empirical evidence from Croatia,” Economic research-Ekonomska istraživanja, vol. 32, no. 1, 101–127.Google ScholarGoogle ScholarCross RefCross Ref
  3. M. Olczyk and A. Kordalska (2017). “Gross exports versus value-added exports: determinants and policy implications for manufacturing sectors in selected CEE countries,” Eastern European Economics, vol. 55, no. 1, 91–109.Google ScholarGoogle ScholarCross RefCross Ref
  4. J. De La Cruz, R. B. Koopman, Z. Wang, and S.-J. Wei (2011). Estimating Foreign Value-added in Mexico's Manufacturing Exports. US Internat. OFFICE OF ECONOMICS WORKING PAPER, No. 2011-04A, 1-36.Google ScholarGoogle Scholar
  5. Y. D. Xie and Y. Baek (2020). “Impact of Exchange Rate and Firm Heterogeneity on Exports,” Journal of Southeast Asian Economies, vol. 37, no. 2, 199–223.Google ScholarGoogle ScholarCross RefCross Ref
  6. D. H. Vo and Z. Zhang (2019). “Exchange rate volatility and disaggregated manufacturing exports: Evidence from an emerging country,” Journal of Risk and Financial Management, vol. 12, no. 1, 1- 12.Google ScholarGoogle ScholarCross RefCross Ref
  7. R. Dhiman, V. Kumar, and S. Rana (2020). “Why export competitiveness differs within Indian textile industry? Determinants and empirical evidence,” Review of International Business and Strategy, 30(3), 375-397.Google ScholarGoogle ScholarCross RefCross Ref
  8. K. Sato, J. Shimizu, N. Shrestha, and S. Zhang (2013). “Industry‐specific Real Effective Exchange Rates and Export Price Competitiveness: The Cases of J apan, C hina, and K orea,” Asian Economic Policy Review, vol. 8, no. 2, 298–321.Google ScholarGoogle ScholarCross RefCross Ref
  9. T.-H. Chan, H. H. Lean, and C.-W. Hooy (2014). “A macro assessment of China effects on Malaysian exports and trade balances,” Journal of Chinese Economic and Foreign Trade Studies, Vol. 7 no 1, 18 - 37.Google ScholarGoogle ScholarCross RefCross Ref
  10. O. Oluyemi and E. D. Isaac (2017). “The effect of exchange rate on imports and exports in Nigeria from January 1996 to June 2015,” IIARD International Journal of Economics and Business Management, vol. 3, no. 2, 66–77.Google ScholarGoogle Scholar
  11. F. B. Hunegnaw (2017). “Real exchange rate and manufacturing export competitiveness in Eastern Africa,” Journal of Economic Integration, 32(4), 891-912.Google ScholarGoogle ScholarCross RefCross Ref
  12. H. Mahmood, T. T. Y. Al Khateeb, and N. Ahmad (2017). “IMPACT OF DEVALUATION ON INDUSTRIAL EXPORTS IN SAUDI ARABIA: J-CURVE ANALYSIS,” Aktual'ni Problemy Ekonomiky= Actual Problems in Economics, 189(3), 331-341.Google ScholarGoogle Scholar
  13. V. N. T. Thuy and D. T. T. Thuy (2019). “The impact of exchange rate volatility on exports in Vietnam: A bounds testing approach,” Journal of Risk and Financial Management, vol. 12, no. 1, 1-14.Google ScholarGoogle ScholarCross RefCross Ref
  14. K. Khan, C.-W. Su, R. Tao, and C.-C. Chu (2018). “Is there any relationship between producer price index and consumer price index in the Czech Republic?,” Economic research-Ekonomska istraživanja, vol. 31, no. 1, 1788–1806.Google ScholarGoogle ScholarCross RefCross Ref
  15. R. R. Ahmed, S. P. Ghauri, J. Vveinhardt, and D. Streimikiene (2018). “An empirical analysis of export, import, and inflation: a case of Pakistan,” ESPERA, vol. 21, no. 3, 117-130.Google ScholarGoogle Scholar
  16. N. A. Purusa and N. Istiqomah (2018). “Impact of FDI, COP, and inflation to export in five asean countries,” Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, vol. 19, no. 1, 94–101,.Google ScholarGoogle ScholarCross RefCross Ref
  17. M. A. Tahir (2014). “Analysing and Forecasting Output Gap and Inflation Using Bayesian Vector Autoregression (BVAR) Method: A Case of Pakistan,” International Journal of Economics and Finance, vol. 6, no. 6, 257–266.Google ScholarGoogle ScholarCross RefCross Ref
  18. P. Caraiani (2014), “Do money and financial variables help forecasting output in emerging European Economies?,” Empirical Economics, vol. 46, no. 2, 743–763.Google ScholarGoogle ScholarCross RefCross Ref
  19. A. Carriero, T. E. Clark, and M. Marcellino (2015). “Bayesian VARs: specification choices and forecast accuracy,” Journal of Applied Econometrics, vol. 30, no. 1, 46–73.Google ScholarGoogle ScholarCross RefCross Ref
  20. C. Lidiema, A. G. Waititu, and A. Ngunyi (2018). “Forecasting Household Credit in Kenya Using Bayesian Vector Autoregressive (BVAR) Model,” Vol. 6, No. 1, 17-24.Google ScholarGoogle ScholarCross RefCross Ref
  21. C. W. Granger (1969), “Investigating causal relations by econometric models and cross-spectral methods,” Econometrica: journal of the Econometric Society, Vol. 37, No. 3, 424–438.Google ScholarGoogle ScholarCross RefCross Ref

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      IECC '22: Proceedings of the 4th International Electronics Communication Conference
      July 2022
      106 pages
      ISBN:9781450397131
      DOI:10.1145/3560089

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      Publication History

      • Published: 30 September 2022

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