The Intra-EU Value Chain: An Approach to Its Economic Dimension and Environmental Impact

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This paper aims to analyze the economic dimension and environmental impact of intra-EU value-added generation linked to global value chains (GVCs) through input-output analysis. For this purpose, information has been collected from TiVA (Trade in Value Added, OECD) and Eora databases for the years 2005 and 2015. From an economic perspective, the results point to a strengthening of the value-added generated within Factory Europe. From an environmental perspective, all EU28 members have reduced their exports-related impacts in intensity-emissions terms, but not all of them in the same degree. An approach to the environmental Kuznets curve (EKC) has also been carried out through a panel data model. The results show a positive impact of the participation in intra-EU value chain (Factory Europe) on CO2 emissions per capita. Further, an inverted U-shaped curve for CO2 emissions is found for the period 2005–15. In this sense, European economies with lower development levels (many Eastern and Southern countries) seem to be still on the rising segment of the curve, while the more developed ones seem to be on the decreasing segment. These results highlight the need to design global monitoring and prevention mechanisms to tackle growing environmental challenges and the need to incorporate specific actions associated with the GVCs activity

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Economies 2021, 9(2), 54; https://doi.org/10.3390/economies9020054

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This research was funded by the Agencia Estatal de Investigación of the Spanish Government in the framework of the research project “The European Strategy for Circular Economy: Prospective Juridic Analysis and Changes in the Global Value Chains” (Ref. ECO2017-87142-C2-1-R), from the European Regional Development Fund (ERFD) and the Xunta de Galicia (Ref. ED431C 2018/23). The authors would also like to thank the Consellería de Cultura, Educación e Ordenación Universitaria of the Xunta de Galicia for the support given in the accomplishment of this study through the pre-doctoral grant programme (ED481A-2019/108)

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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
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