Skip to main content

The Nexus Between Regional Trade Integration and ASEAN Macroeconomic Indicators: Evidence from Bayesian Panel Regression Approach

  • Conference paper
  • First Online:
Credible Asset Allocation, Optimal Transport Methods, and Related Topics (TES 2022)

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 429))

Included in the following conference series:

Abstract

As regionalization gains momentum globally, this paper aims to investigate the impact of regional trade integration on three macroeconomic indicators for ASEAN member countries: economic growth, inflation, and labor force participation. The regional trade integration is represented by three regional variables: trade intensity, export diversification, and value chain. This paper has deployed the Bayesian panel regression approach using a panel data set of 10 ASEAN countries with their major trading partners in Asia from 1995 to 2019. The empirical findings suggest that the regional export diversification and trade intensity promote economic growth for the overall ASEAN, whereas the regional value chain stimulates employment. Furthermore, the regional trade integration significantly reduces inflation. The key finding indicate that since 2015, ASEAN’s deeper integration has enabled member countries with a greater regional trade intensity and regional value chain to enhance their economic growth and development. The ASEAN could also achieve the goal of the ASEAN economic community to uplift their people’s standard living.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    ASEAN (Association of South East Asia Nations) countries include Brunei, Cambodia, Indonesia, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. In addition, the major trading partners include ASEAN, Australia, China, India, Japan, South Korea, and New Zealand.

References

  1. ASEAN Secretariat. (2008). ASEAN economic community blueprint. ASEAN Secretariat, Jakarta, Indonesia.

    Google Scholar 

  2. ASEAN Secretariat. (2015). ASEAN economic community blueprint 2025. ASEAN Secretariat, Jakarta, Indonesia.

    Google Scholar 

  3. Balassa, B. (1965). Economic development and integration. Mexico: Centro de Estudios Monetario Latinoamericanos.

    Google Scholar 

  4. Balavac, M., & Pugh, G. (2016). The link between trade openness, export diversification, institutions and output volatility in transition countries. Economic System, 40(2), 273–287.

    Article  Google Scholar 

  5. Baldwin, R., Forslid, R., & Haaland, J. (1995). Investment creation and investment diversion: Simulation analysis of the single market programme. NBER Working Paper no. 5364, Cambridge, Massachusettes

    Google Scholar 

  6. Balistreri, E. J., & Tarr, D. G. (2020). Comparison of deep integration in the Melitz, Krugman and Armington models: The case of The Philippines in RCEP. Economic Modelling, 85, 255–271.

    Article  Google Scholar 

  7. Bhagwati, J., & Panagariya, A. (1996). The theory of preferential trade agreements: Historical evolution and current trends. The American Economic Review, 86(2), 82–87.

    Google Scholar 

  8. Boehe, D., & Jiménez, A. (1996). Does the sequencing of related and unrelated export diversification matter? Evidence from Colombian exporters. International Business Review, 27(6), 1141–1149.

    Article  Google Scholar 

  9. Brumm, J., Georgiadis, G., & Trottner, F. (2019). Global value chain participation and current account imbalances. Journal of International Money and Finance, 97, 111–124.

    Article  Google Scholar 

  10. Calderón, C., Chong, A., & Stein, E. (2007). Trade intensity and business cycle synchronization: Are developing countries any different? Journal of International Economics, 7(1), 2–21.

    Article  Google Scholar 

  11. Caporale, G. M., Santis, R. D., & Giradis, A. (2007). Trade intensity and output synchronisation: On the endogeneity properties of EMU. Journal of Financial Stability, 16, 154–163.

    Article  Google Scholar 

  12. Casella, B., Bolwijn, R., Moran, D., & Kanemoto, K. (2019). UNCTAD insights: Improving the analysis of global value chains: the UNCTAD-Eora Database. Transnational Corporation, 26(3), 115–142.

    Article  Google Scholar 

  13. Chib, S. (2008). Panel data modeling and inference: A Bayesian Primer. Berlin Heidelberd: Springer-Verlag.

    Google Scholar 

  14. Cho, D., & Doblas-Madrid, A. (2014). Trade intensity and purchasing power parity. Journal of International Economics, 93, 194–209.

    Article  Google Scholar 

  15. Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20, 249–272.

    Article  Google Scholar 

  16. Dunning, J., & Robson, P. (1998). Multinationals and the European community. Oxford: Basil Blackwell.

    Google Scholar 

  17. ECB Working Group on Global Value Chain. (2019). The impact of global value chains on the euro area economy, ECB Occasional Paper 221, European Central Bank.

    Google Scholar 

  18. Eris, M. N., & Ulasan, B. (2013). Trade openness and economic growth: Bayesian model averaging estimate of cross-country growth regressions. Economic Modelling, 33, 867–883.

    Article  Google Scholar 

  19. Ethier, W. (1998). The new regionalism. The Economic Journal, 108(449), 1149–1161.

    Article  Google Scholar 

  20. Gangnes, B. S., Alyson, C. M., & Ari, V. A. (2014). Global value chains and trade elasticities. Economic Letters, 124(3), 482–486.

    Article  Google Scholar 

  21. Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian data analysis. Boca Raton, Florida: Chapman & Hall/CRC.

    Book  MATH  Google Scholar 

  22. Giordani, P., & Kohn, R. (2010). Adaptive independent Metropolis-Hastings by fast estimation of mixtures of normals. Journal of Computational and Graphical Statistics, 19(2), 243–259.

    Article  MathSciNet  Google Scholar 

  23. Gunnella, V., Fidora, M., & Schmitz, M. (2017). The impact of global value chains on the macroeconomic analysis of the euro area. Economic Bulletin Articles, 8, 75–95.

    Google Scholar 

  24. Haario, H., Saksman, E., & Tamminen, J. (2001). An adaptive Metropolis algorithm. Bernoullis, 7(2), 223–242.

    Article  MathSciNet  MATH  Google Scholar 

  25. Halsey, L. G. (2019). The reign of the p-value is over: what alternative analyses could we employ to fill the power vacuum? Biology Letters, 15, 20190174.

    Article  Google Scholar 

  26. Hausmann, R., Hidaldo, C. A., Bustos, S., Coscia, M., Simoes, A., & Yildirim, M. A. (2014). The atlas of economic complexity: Mapping paths to prosperity. Cambridge, MA: MIT Press.

    Book  Google Scholar 

  27. Held, L., & Ott, M. (2018). On p-values and Bayes factors. Annual Review of Statistics and Its Application, 5, 393–419.

    Article  MathSciNet  Google Scholar 

  28. Huh, H. S., & Park, C. Y. (2018). Asia-Pacific regional integration index: Construction, interpretation, and comparison. Journal of Asian Economics, 54, 22–38.

    Article  Google Scholar 

  29. International Labour Organization, ILO statistics and databases, Geneva, Switzerland, various years.

    Google Scholar 

  30. International Monetary Fund, Internatinal Financial Statistics, Washington, DC, various years.

    Google Scholar 

  31. Itakura, K. (2014). Impact of liberalization and improved connectivity and facilitation in ASEAN. Journal of Asian Economics, 35, 2–11.

    Article  Google Scholar 

  32. Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review, 55, 163–172.

    Article  MathSciNet  MATH  Google Scholar 

  33. Jiang, W., Li, Y., & Zhang, S. (2019). Business cycle synchronisation in East Asia: The role of value- added trade. The World Economy, 42(1), 226–241.

    Article  Google Scholar 

  34. Kawasaki, K. (2015). The relative significance of EPAs in Asia-Pacific. Journal of Asian Economics, 39, 19–30.

    Article  Google Scholar 

  35. Kikuchi, T., Yanagida, K., & Vo, H. (2018). The effects of mega-regional trade agreements on Vietnam. Journal of Asian Economics, 55, 4–19.

    Article  Google Scholar 

  36. Koop, G., Osiewalski, J., & Steel, M. F. J. (1997). Bayesian efficiency analysis through individual effects: Hospital cost frontiers. Journal of Econometrics, 75, 77–105.

    Article  MATH  Google Scholar 

  37. Koop, G., & Poirier, D. J. (2004). Bayesian variants of some classical semiparametric regression techniques. Journal of Econometrics, 123, 259–282.

    Article  MathSciNet  MATH  Google Scholar 

  38. Krauss, M. B. (1972). Recent developments in customs union theory: An interpretive surveys. Journal of Economic Literature, 10(2), 413–436.

    Google Scholar 

  39. Le, T. H., Nguyen, C. P., Su, T. D., & Tran-Nam, B. (2020). The Kuznets curve for export diversification and income inequality: Evidence from a global sample. Economic Analysis and Policy, 65, 21–39.

    Article  Google Scholar 

  40. Lee, H., & Itakura, K. (2018). The welfare and sectoral adjustment effects of mega-regional trade agreements on ASEAN countries. Journal of Asian Economics, 55, 20–32.

    Article  Google Scholar 

  41. Lee, J. W., & Oh, J. (2020). ASEAN or plus alpha? The effectiveness of regional economic cooperation. Asia Pacific Management Review, 55(1), 48–53.

    Article  Google Scholar 

  42. Leon-Gonzalez, R., & Vinayagathasan, T. (2015). Robust determinants of growth in Asian developing economies: A Bayesian panel data model averaging approach. Journal of Asian Economics, 36, 34–46.

    Article  Google Scholar 

  43. Li, C., Wang, J., & Whalley, J. (2016). Impact of mega trade deals on China: A computational general equilibrium analysis. Economic Modelling, 57, 13–25.

    Article  Google Scholar 

  44. Li, Q., Scollay, R., & Gilbert, J. (2017). Analyzing the effects of the regional comprehensive economic partnership on FDI in a CGE framework with firm heterogeneity. Economic Modelling, 67, 409–420.

    Article  Google Scholar 

  45. Lipsey, R. G. (1957). The theory of customs unions: Trade diversion and welfare. Economica, 24, 40–46.

    Article  Google Scholar 

  46. Maneejuk, P., & Yamaka, W. (2020). Significance test for linear regression: how to test without P-values? Journal of Applied Statistics, 45(5), 827–845.

    Article  MathSciNet  MATH  Google Scholar 

  47. Mania, E., & Rieber, A. (2019). Product export diversification and sustainable economic growth in developing countries. Structural Change and Economic Dynamics, 51, 138–151.

    Article  Google Scholar 

  48. Massol, O., & Banal-Estañol, A. (2014). Export diversification through resource-based industrialization: The case of natural gas. European Journal of Operational Research, 237(3), 1067–1082.

    Article  Google Scholar 

  49. Meade, J. E. (1955). The theory of customs unions. Amsterdam: North Holland.

    Google Scholar 

  50. Mo, P. H. (2010). Trade intensity, net export, and economic growth. Review of Development Economics, 14(3), 563–576.

    Article  MathSciNet  Google Scholar 

  51. Moral-Benito, E. (2012). Determinants of economic growth: A Bayesian panel data approach. The Review of Economics and Statistics, 94(2), 566–579.

    Article  Google Scholar 

  52. Ouedraogo, R., & Sourouema, W. S. (2018). Fiscal policy pro-cyclicality in Sub-Saharan African countries: The role of export concentration. Economic Modelling, 74, 219–229.

    Article  Google Scholar 

  53. Qua, C., Shao, J., & Cheng, Z. (2020). Can embedding in global value chain drive green growth in China’s manufacturing industry. Journal of Cleaner Production, 268, 121962.

    Article  Google Scholar 

  54. Rana, P. B., Cheng, T., & Chia, W. M. (2012). Trade intensity and business cycle synchronization: East Asia versus Europe. Journal of Asian Economics, 23(6), 701–706.

    Article  Google Scholar 

  55. Roberts, G. O., & Rosenthal, J. S. (2009). Examples of adaptive MCMC. Journal of Computational and Graphical Statistics, 18(2), 349–367.

    Article  MathSciNet  Google Scholar 

  56. Shahbaz, M., Gozgor, G., & Hammoudeh, S. (2019). Human capital and export diversification as new determinants of energy demand in the United States. Energy Economics, 78, 335–349.

    Article  Google Scholar 

  57. Shen, C., & Zheng, J. (2018). Does global value chains participation really promote skill-biased technological change? Theory and evidence from China. Economic Modelling, 86, 10–18.

    Article  Google Scholar 

  58. Solano, L. V. L., Brümmer, B., Engler, A., & Otter, V. (2018). Effects of intra- and inter-regional geographic diversification and product diversification on export performance: Evidence from the Chilean fresh fruit export sector. Food Policy, 86, 1–10.

    Google Scholar 

  59. Tinta, A. A., Sarpong, D. B., Ouedraogo, I. M., Hassan, R. A., Mensah-Bonsu, A., & Onumah, E. E. (2018). The effect of integration, global value chains and international trade on economic growth and food security in ECOWAS. Cogent Food and Agriculture, 4(1), 1–15.

    Article  Google Scholar 

  60. United Nations Conference for Trade and Development (UNCTAD), UNCTADl Statistics, Geneva, Switzerland, various years.

    Google Scholar 

  61. Vannoorenberghe, G., Wang, Z., & Yu, Z. (2016). Volatility and diversification of exports: Firm-level theory and evidence. European Economic Review, 89, 216–247.

    Article  Google Scholar 

  62. Viner, J. (1950). The customs union issue. New York: Carnegie Endowment for International Peace.

    Google Scholar 

  63. World Bank, World Development Indicators, Washingtod, DC, various years.

    Google Scholar 

  64. Yu, C., & Luo, Z. (2018). Volatility and diversification of exports: Firm-level theory and evidence. China Economic Review, 47, 263–273.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nathapornpan Piyaareekul Uttama .

Editor information

Editors and Affiliations

Appendices

Appendix

This appendix contains diagnostics for the convergence of MCMC parameter estimates in GDP, inflation, and employment models. Figure 1 depicts the GDP growth (GDPGR) convergence diagnostics on regional export diversification (RED), regional value chain (RVC), and regional trade intensity (RTI). It found the well-mixing MCMC chains, high autocorrelation, and a unimodal histogram in the GDP model. Additionally, convergence diagnostics for the inflation (INF) and employment (LFP) models are depicted in Figs. 2 and 3, respectively, in accordance with the GDP model.

Fig. 1
figure 1

Convergence diagnostics of GDP model

Fig. 2
figure 2

Convergence diagnostics of inflation model

Fig. 3
figure 3

Convergence diagnostics of employment model

Declaration of Competing Interest

The authors have no competing interest to declare.

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Uttama, N.P., Arwatchanakarn, P. (2022). The Nexus Between Regional Trade Integration and ASEAN Macroeconomic Indicators: Evidence from Bayesian Panel Regression Approach. In: Sriboonchitta, S., Kreinovich, V., Yamaka, W. (eds) Credible Asset Allocation, Optimal Transport Methods, and Related Topics. TES 2022. Studies in Systems, Decision and Control, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-030-97273-8_33

Download citation

Publish with us

Policies and ethics