Will Southeast Asia be the next global manufacturing hub? A multiway cointegration, causality, and dynamic connectedness analyses
Haibo Wang,
Lutfu S. Sua,
Jun Huang,
Jaime Ortiz and
Bahram Alidaee
Emerging Markets Review, 2024, vol. 63, issue C
Abstract:
We propose a novel framework to examine relationships among drivers of economic growth in Southeast Asia, a region poised to become a significant manufacturing destination. However, unbalanced economic growth among countries poses risks to multinational companies considering offshoring decisions. Our two-stage framework uses multi-way cointegration analysis and a vector error correction model (VECM) to investigate critical drivers of economic growth. We apply a QVAR model to evaluate dynamic connectedness and spillover effects of offshoring decisions. Using World Bank data, our results show that Southeast Asian countries are interconnected through complex relationships featuring multi-way cointegration and dynamic connectedness, informing evidence-based policy.
Keywords: Cointegration; Vector error correction model (VECM); Quantile vector autoregressive (QVAR); Spillover effects; Time-series data; Offshoring (search for similar items in EconPapers)
JEL-codes: C31 C32 F21 J24 L60 O10 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1566014124001122
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ememar:v:63:y:2024:i:c:s1566014124001122
DOI: 10.1016/j.ememar.2024.101217
Access Statistics for this article
Emerging Markets Review is currently edited by Jonathan A. Batten
More articles in Emerging Markets Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().