Abstract
This study explores the effects of forward and backward participation in Global Value Chains (GVCs) on economic growth and carbon emissions, using inter-country input-output (ICIO) data from 1995 to 2018. While prior research has either focused on bivariate relationships or failed to distinguish the distinct impacts of forward and backward GVC participation, this study makes a novel contribution by simultaneously analyzing these variables within a panel vector error correction model (VECM). This approach enables the isolation of directional GVC effects, incorporates long-run equilibrium relationships, and minimizes the potential for intervariable endogeneity. The study yields three key findings. First, we observe a positive long-run relationship between GVC participation and economic growth, irrespective of the direction of participation. Second, evidence of cointegration and dynamic causal relationships is found among GVC participation, economic growth, and carbon emissions. Third, we demonstrate that forward GVC participation has a negative causal effect on carbon emissions, while backward GVC participation is associated with positive causality. These results support the potential for sustainable economic development through GVC participation. Moreover, when countries are classified as environment-friendly or less environment-friendly, our findings indicate that sustainable growth is more achievable in environment-friendly countries.
| Original language | English |
|---|---|
| Pages (from-to) | 147-167 |
| Number of pages | 21 |
| Journal | International Economic Journal |
| Volume | 39 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2025 |
Bibliographical note
Publisher Copyright:© 2025 Korea International Economic Association.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- Global value chains
- panel cointegration
- panel VAR
- sustainable growth
ASJC Scopus subject areas
- General Economics,Econometrics and Finance
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