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    Regime Shifts in East Asian Production Networks: Common-Factor Robust Panel Evidence after 2018

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    https://www.riss.kr/link?id=A110456061

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    This study examines whether East Asia’s production networks recovered or, instead, underwent sustained reconfiguration following the 2018 escalation of the US–China trade conflict.
    Using panel time-series methods applied to multi-country, multi-industry multi-regional input–output (MRIO) indicators for 2007–2023, the analysis links production-network propagation depth (average propagation length; APL) to domestic value-added export performance (VAX). To account for cross-sectional dependence and slope heterogeneity, the study reports common-factor robust long-run estimates using CCEMG and AMG.
    The results indicate that the negative long-run association between network depth and domestic value capture is concentrated in the forward-propagation channel (APL_F). FMOLS and DOLS benchmarks suggest a broader negative relationship but appear sensitive to unobserved common shocks. Error-correction estimates point to slow and weak adjustment towards the long-run equilibrium, consistent with diminished resilience in regional production systems. Panel structural-break tests identify regime shifts in 2011, 2015, and 2019, with the 2019 break coinciding with the trade-conflict escalation.
    Overall, the evidence suggests that the post-2019 configuration persists within the 2007–2023 sample, and should be interpreted as within-sample persistence through 2023, not as proof of permanence beyond the observation window.
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    This study examines whether East Asia’s production networks recovered or, instead, underwent sustained reconfiguration following the 2018 escalation of the US–China trade conflict. Using panel time-series methods applied to multi-country, multi-in...

    This study examines whether East Asia’s production networks recovered or, instead, underwent sustained reconfiguration following the 2018 escalation of the US–China trade conflict.
    Using panel time-series methods applied to multi-country, multi-industry multi-regional input–output (MRIO) indicators for 2007–2023, the analysis links production-network propagation depth (average propagation length; APL) to domestic value-added export performance (VAX). To account for cross-sectional dependence and slope heterogeneity, the study reports common-factor robust long-run estimates using CCEMG and AMG.
    The results indicate that the negative long-run association between network depth and domestic value capture is concentrated in the forward-propagation channel (APL_F). FMOLS and DOLS benchmarks suggest a broader negative relationship but appear sensitive to unobserved common shocks. Error-correction estimates point to slow and weak adjustment towards the long-run equilibrium, consistent with diminished resilience in regional production systems. Panel structural-break tests identify regime shifts in 2011, 2015, and 2019, with the 2019 break coinciding with the trade-conflict escalation.
    Overall, the evidence suggests that the post-2019 configuration persists within the 2007–2023 sample, and should be interpreted as within-sample persistence through 2023, not as proof of permanence beyond the observation window.

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