Shining the dynamics of the Economic Complexity Index on the European Union's climate change strategy: Evidence from the novel approach of MMQR

dc.contributor.authorKömürcüoglu, Ömer Faruk
dc.contributor.authorKömürcüoglu, Elif Duygu
dc.contributor.authorKoçak, Sinem
dc.contributor.authorÇi̇l, Dilek
dc.contributor.authorKaris, Çiğdem
dc.contributor.authorGüven, Aykut Fatih
dc.contributor.authorBajaj, Mohit
dc.contributor.authorBlažek, Vojtěch
dc.date.accessioned2026-06-10T11:36:46Z
dc.date.available2026-06-10T11:36:46Z
dc.date.issued2026
dc.description.abstractFor the European countries, the issue of combating climate change has become a matter of existence. Therefore, it is of extreme importance to present economic-based evidence for these countries' climate action. One emerging yet underexplored area is the environmental implications of the Economic Complexity Index (ECI), which reflects the knowledge intensity embedded in a country's production structure. Despite its relevance, studies examining the relationship between ECI and environmental degradation (ED) in the European context remain scarce. This paper aims to fill this gap by investigating the impact of ECI on ED between 1995 and 2021, focusing on the European Union countries recognized for their environmental sustainability efforts. For this purpose, the relationship between ECI and two of the pioneer indicators of ED-ecological footprint (EFP) and carbon emissions (CO2)-is assessed through two separate models. To address the dynamic and heterogeneous structure of the relationship, the novel Method of Moments Quantile Regression (MMQR) approach is employed. Empirical evidence suggests that ECI contributes to ED, with a stronger impact observed on CO2 emissions than on EFP. Another key finding is that higher levels of ED limit the negative environmental effects of ECI. However, the robustness of the findings is confirmed using the Driscoll-Kraay (D-K) standard error estimator and also, the symmetric causality test of Dumitrescu-Hurlin (D-H). As global leaders in environmental initiatives, EU countries must guarantee the availability and variety of green financing sources to expedite the transition to sustainable production methods in sectors impacting the ECI index via the European Investment Bank and the EU Innovation Fund. Policymakers can provide favorable tax incentives to industries that implement eco-friendly production methods to lower their expenses, thereby rewarding these industries and fostering acceptance of this strategy among sectors beyond this framework. Achieving higher ECI scores through the integration of renewable energy and green technologies is therefore essential for EU countries striving for a greener and more resilient future.
dc.description.firstpageart. no. 100830
dc.description.sourceWeb of Science
dc.description.volume25
dc.identifier.citationDevelopments in the Built Environment. 2026, vol. 25, art. no. 100830.
dc.identifier.doi10.1016/j.dibe.2025.100830
dc.identifier.issn2666-1659
dc.identifier.urihttp://hdl.handle.net/10084/158771
dc.identifier.wos001648639900001
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofseriesDevelopments in the Built Environment
dc.relation.urihttps://doi.org/10.1016/j.dibe.2025.100830
dc.rights© 2025 The Authors. Published by Elsevier Ltd.
dc.rights.accessopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjecteconomic complexity
dc.subjectenvironmental degradation
dc.subjectMMQR
dc.subjectthe EU countries
dc.titleShining the dynamics of the Economic Complexity Index on the European Union's climate change strategy: Evidence from the novel approach of MMQR
dc.typearticle
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion
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local.files.size3968841
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