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Spatiotemporal Impact of Trade Policy Variables on Asian Manufacturing Hubs: Bayesian Global Vector Autoregression Model

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  • Lutfu S. Sua
  • Haibo Wang
  • Jun Huang

Abstract

A novel spatiotemporal framework using diverse econometric approaches is proposed in this research to analyze relationships among eight economy-wide variables in varying market conditions. Employing Vector Autoregression (VAR) and Granger causality, we explore trade policy effects on emerging manufacturing hubs in China, India, Malaysia, Singapore, and Vietnam. A Bayesian Global Vector Autoregression (BGVAR) model also assesses interaction of cross unit and perform Unconditional and Conditional Forecasts. Utilizing time-series data from the Asian Development Bank, our study reveals multi-way cointegration and dynamic connectedness relationships among key economy-wide variables. This innovative framework enhances investment decisions and policymaking through a data-driven approach.

Suggested Citation

  • Lutfu S. Sua & Haibo Wang & Jun Huang, 2025. "Spatiotemporal Impact of Trade Policy Variables on Asian Manufacturing Hubs: Bayesian Global Vector Autoregression Model," Papers 2503.17790, arXiv.org.
    • Handle: RePEc:arx:papers:2503.17790
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    1. Danilo Cascaldi-Garcia & Cisil Sarisoy & Juan M. Londono & Bo Sun & Deepa D. Datta & Thiago Ferreira & Olesya Grishchenko & Mohammad R. Jahan-Parvar & Francesca Loria & Sai Ma & Marius Rodriguez & Ilk, 2023. "What Is Certain about Uncertainty?," Journal of Economic Literature, American Economic Association, vol. 61(2), pages 624-654, June.
    2. Chien-Ming Wang & Su-Lan Pan & Alastair M. Morrison & Tsung-Pao Wu, 2022. "The dynamic linkages among outbound tourism, economic growth, and international trade: empirical evidence from China," SN Business & Economics, Springer, vol. 2(11), pages 1-18, November.
    3. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 642-675, October.
    4. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Rejoinder to comments on forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 703-715, October.
    5. Mari Pangestu & Sjamsu Rahardja & Lili Yan Ing, 2015. "Fifty Years Of Trade Policy In Indonesia: New World Trade, Old Treatments," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 51(2), pages 239-261, August.
    6. Luciano Fanti & Domenico Buccella, 2023. "Vertical industry and strategic trade policy," SN Business & Economics, Springer, vol. 3(2), pages 1-16, February.
    7. Shahzad, Umer & Ghaemi Asl, Mahdi & Tedeschi, Marco, 2023. "Is there any market state-dependent contribution from Blockchain-enabled solutions to ESG investments? Evidence from conventional and Islamic ESG stocks," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 139-154.
    8. Davit Sahakyan, 2019. "Canada's Trade Policy Developments after NAFTA: Sources and Implications," Journal of Common Market Studies, Wiley Blackwell, vol. 57(6), pages 1292-1309, November.
    9. Sèna Kimm Gnangnon, 2022. "Financial development and tax revenue in developing countries: investigating the international trade channel," SN Business & Economics, Springer, vol. 2(1), pages 1-26, January.
    10. Cheung, Yin-Wong & Lai, Kon S, 1995. "Lag Order and Critical Values of the Augmented Dickey-Fuller Test," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 277-280, July.
    11. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
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