GVC participation and carbon emissions – A network analysis

Matthew Smith; Dimitris Christopoulos

doi:10.1016/j.ecolecon.2024.108450

GVC participation and carbon emissions – A network analysis

Matthew Smith^*, Dimitris Christopoulos

^*Corresponding author for this work

School of Social Sciences

Research output: Contribution to journal › Article › peer-review

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Abstract

This paper draws on network analysis to examine the impact of Global Value Chain (GVC) embeddedness on carbon emissions from 2000 to 2014. A country network of value added is constructed, and a Temporal Network Autocorrelation Model (TNAM) is applied to examine the impact of network position in the GVC and emissions of network partners on the CO2 emissions of a country. The paper finds weak evidence of a positive impact of GVC participation on CO2 emissions. This paper does not find support for the EKC hypothesis. Additionally, the analysis examines the impact of the economic complexity level of a country on emissions and finds no significant relationship.

Original language	English
Article number	108450
Journal	Ecological Economics
Volume	228
Early online date	12 Nov 2024
DOIs	https://doi.org/10.1016/j.ecolecon.2024.108450
Publication status	E-pub ahead of print - 12 Nov 2024

Keywords

Global value chains
Carbon emissions
Economic complexity index
Network analysis

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title = "GVC participation and carbon emissions – A network analysis",

abstract = "This paper draws on network analysis to examine the impact of Global Value Chain (GVC) embeddedness on carbon emissions from 2000 to 2014. A country network of value added is constructed, and a Temporal Network Autocorrelation Model (TNAM) is applied to examine the impact of network position in the GVC and emissions of network partners on the CO2 emissions of a country. The paper finds weak evidence of a positive impact of GVC participation on CO2 emissions. This paper does not find support for the EKC hypothesis. Additionally, the analysis examines the impact of the economic complexity level of a country on emissions and finds no significant relationship.",

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AU - Christopoulos, Dimitris

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N2 - This paper draws on network analysis to examine the impact of Global Value Chain (GVC) embeddedness on carbon emissions from 2000 to 2014. A country network of value added is constructed, and a Temporal Network Autocorrelation Model (TNAM) is applied to examine the impact of network position in the GVC and emissions of network partners on the CO2 emissions of a country. The paper finds weak evidence of a positive impact of GVC participation on CO2 emissions. This paper does not find support for the EKC hypothesis. Additionally, the analysis examines the impact of the economic complexity level of a country on emissions and finds no significant relationship.

AB - This paper draws on network analysis to examine the impact of Global Value Chain (GVC) embeddedness on carbon emissions from 2000 to 2014. A country network of value added is constructed, and a Temporal Network Autocorrelation Model (TNAM) is applied to examine the impact of network position in the GVC and emissions of network partners on the CO2 emissions of a country. The paper finds weak evidence of a positive impact of GVC participation on CO2 emissions. This paper does not find support for the EKC hypothesis. Additionally, the analysis examines the impact of the economic complexity level of a country on emissions and finds no significant relationship.

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KW - Carbon emissions

KW - Economic complexity index

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JF - Ecological Economics

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GVC participation and carbon emissions – A network analysis

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