The European context of socio-economic integration and physical proximity likely plays an essential role in explaining the decarbonisation outcomes of industrial sectors. However, there is hardly any spatial regional analysis on CO2 emissions drivers in European countries. This study investigates the role of geographical space and regional determinants in industrial decarbonisation by analysing how socio-economic drivers and their interregional relationships impact industrial carbon emissions in European regions. We employ a spatial panel data econometric model to a novel panel dataset comprising 13 years (2008–20) of carbon emissions from hard-to-abate industrial sectors from 238 NUTS-2 regions across 27 European Union countries. Results indicate the presence of endogenous spatial interactions and high-time persistence between CO2-eq emissions in European Union regions. As such, industrial carbon emissions of regions follow similar patterns to their neighbours, supporting the evolutionary economic geography and growth theory assumptions of the spatial interaction of carbon emissions between regions. Furthermore, the use of a spatial econometric model illustrates the negative direct and spillover effects that higher levels of education and regional investment in research and development have on industrial CO2-eq emissions.

Vagnini, C., Canal Vieira, L., Longo, M., Mura, M. (2024). Regional drivers of industrial decarbonisation: a spatial econometric analysis of 238 EU regions between 2008 and 2020. REGIONAL STUDIES, ahead-of-print, 1-13 [10.1080/00343404.2024.2380369].

Regional drivers of industrial decarbonisation: a spatial econometric analysis of 238 EU regions between 2008 and 2020

Vagnini, Chiara;Canal Vieira, Leticia;Longo, Mariolina;Mura, Matteo
2024

Abstract

The European context of socio-economic integration and physical proximity likely plays an essential role in explaining the decarbonisation outcomes of industrial sectors. However, there is hardly any spatial regional analysis on CO2 emissions drivers in European countries. This study investigates the role of geographical space and regional determinants in industrial decarbonisation by analysing how socio-economic drivers and their interregional relationships impact industrial carbon emissions in European regions. We employ a spatial panel data econometric model to a novel panel dataset comprising 13 years (2008–20) of carbon emissions from hard-to-abate industrial sectors from 238 NUTS-2 regions across 27 European Union countries. Results indicate the presence of endogenous spatial interactions and high-time persistence between CO2-eq emissions in European Union regions. As such, industrial carbon emissions of regions follow similar patterns to their neighbours, supporting the evolutionary economic geography and growth theory assumptions of the spatial interaction of carbon emissions between regions. Furthermore, the use of a spatial econometric model illustrates the negative direct and spillover effects that higher levels of education and regional investment in research and development have on industrial CO2-eq emissions.
2024
Vagnini, C., Canal Vieira, L., Longo, M., Mura, M. (2024). Regional drivers of industrial decarbonisation: a spatial econometric analysis of 238 EU regions between 2008 and 2020. REGIONAL STUDIES, ahead-of-print, 1-13 [10.1080/00343404.2024.2380369].
Vagnini, Chiara; Canal Vieira, Leticia; Longo, Mariolina; Mura, Matteo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/981448
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