2020
DOI: 10.1002/sd.2144
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Spillover and dynamic effects of energy transition and economic growth on carbon dioxide emissions for the European Union: A dynamic spatial panel model

Abstract: This paper introduces “spatial effects” and “dynamic effects” to investigate the influences of economic growth and energy transition on cross‐country CO2 emissions movements within the European Union (EU). We apply the fixed‐effects dynamic spatial Durbin error model to empirically gauge the magnitude of the spatial impacts and dynamic impacts for a sample of 26 EU countries throughout 1990–2015. By analyzing the empirical results, we conclude that: (1) Compared with dynamic spatial Durbin error model, the tra… Show more

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Cited by 152 publications
(66 citation statements)
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References 57 publications
(78 reference statements)
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“…Based on its overall effect, the influence of A on industrial carbon emissions is positive. This is also largely consistent with the research results of Ren et al [52]. The direct effect of T on industrial carbon emissions is positive but nonsignificant, indicating that technological innovation with preferences for a rebound effect do not play a role in reducing carbon emissions.…”
Section: Estimation Results Of Spatial Panel Durbin Modelsupporting
confidence: 91%
“…Based on its overall effect, the influence of A on industrial carbon emissions is positive. This is also largely consistent with the research results of Ren et al [52]. The direct effect of T on industrial carbon emissions is positive but nonsignificant, indicating that technological innovation with preferences for a rebound effect do not play a role in reducing carbon emissions.…”
Section: Estimation Results Of Spatial Panel Durbin Modelsupporting
confidence: 91%
“…Carbon footprint refers to the measurement of carbon emissions generated during the life cycle of products or related to activities from the life cycle perspective (Ji et al 2011 ). While the carbon emission database in the USA, Europe and other regions are relatively complete (Cheng et al 2021 ; Ren et al 2021 ), large-scale countries and regions do not have such a professional corporate carbon emission database, including China. In the absence of data, researchers have tried several methods to gauge carbon emissions: the life cycle method (LCA), the input-output analysis method (I-O), the economic input-output life cycle method (EIO-LCA) and the calculation method in 2006 IPCC Guidelines for National Greenhouse Gas Inventories.…”
Section: Introductionmentioning
confidence: 99%
“…Since CO 2 is the main contributor to the greenhouse effect, lowering CO 2 emissions has become a critical issue that needs to be addressed all over the world. Many scholars have investigated the driving factors of CO 2 emissions; among these, industrial structure upgrading has been widely accepted as an effective pathway to realize low-carbon development (Du et al, 2012;Tian et al, 2019;Zhao et al, 2020a;Ren et al, 2021). In this study, the definition of industrial structure upgrading is that the national industrial structure shifts from low value-added laborintensive industries to high value-added technology-intensive industries; in other words, industrial structure upgrading refers to the process or trend of the transformation of the industrial structure from a low-level form to the high-level form.…”
Section: Introductionmentioning
confidence: 99%