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How has climate change been affected by electricity digitalization, supply chain digitalization, and green technologies? Building a path to environmentally sustainable development in E7 nations

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dc.title How has climate change been affected by electricity digitalization, supply chain digitalization, and green technologies? Building a path to environmentally sustainable development in E7 nations en
dc.contributor.author Waris, Umra
dc.contributor.author Cui, Lixin
dc.contributor.author Abbas, Shujaat
dc.contributor.author Shoaib, Muhammad
dc.relation.ispartof Energy Economics
dc.identifier.issn 0140-9883 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 1873-6181 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2025
utb.relation.volume 145
dc.type article
dc.language.iso en
dc.publisher Elsevier B.V.
dc.identifier.doi 10.1016/j.eneco.2025.108428
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S014098832500252X
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S014098832500252X/pdfft?md5=e6226851e9c770271f37b7c6f1b74365&pid=1-s2.0-S014098832500252X-main.pdf
dc.subject electricity digitalization en
dc.subject supply chain digitalization en
dc.subject energy intensity en
dc.subject environmental technologies en
dc.subject MMQR en
dc.subject SDG 13 en
dc.subject SDG 7 en
dc.description.abstract Consumption-based CO2 emissions act as a critical indicator to identify the influence of electricity digitalization, supply chain digitalization, and green technologies on climate change, highlighting the need to establish appropriate environmental policies. This study addresses a significant gap in the literature by examining the relationship among electricity digitalization, supply chain digitalization, energy intensity, environment-related technologies, globalization, and economic growth on consumption-based CO2 emissions in the E7 nations from 1995 to 2023. Based on the Method of Moment Quantile Regression (MMQR), Bootstrap Quantile Regression (BSQR), and pairwise Dimitrescu causality tests, this study provides new findings on the drivers of CO2 emissions in these countries. The findings of the MMQR reveal that electricity digitalization, supply chain digitalization, energy intensity, and economic growth enhance CO2 emissions. Conversely, the results demonstrate that developing environment-related technology and globalization decreases CO2 emissions. It implies that even though digitalization, energy intensity, and economic growth may lead to emission intensification, there is evidence that it should reduce emission intensification through technological advancement, embracing green technologies and focusing intensely on environmental sustainability. Additionally, BSQR produced results similar to those of MMQR. The efficiencies highlighted in this study serve as important signals for policymakers. They must consider digitalization and economic growth while also promoting environmentally friendly practices. This aligns with SDG 13 (Climate Action), which aims to mitigate CO₂ emissions, and SDG 7 (Affordable and Clean Energy), which encourages energy efficiency and the transition to renewable energy sources in the E7 nations. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1012420
utb.identifier.scopus 2-s2.0-105001486574
utb.identifier.wok 001460723900001
utb.identifier.coden EECOD
utb.source j-scopus
dc.date.accessioned 2025-05-09T08:50:19Z
dc.date.available 2025-05-09T08:50:19Z
dc.description.sponsorship National Natural Science Foundation of China, NSFC, (72174021); National Natural Science Foundation of China, NSFC
dc.description.sponsorship National Natural Science Foundation of China [72174021]
utb.ou Department of Business Administration
utb.contributor.internalauthor Shoaib, Muhammad
utb.fulltext.sponsorship The National Natural Science Foundation of China (72174021): Evaluation for Intelligent Public Service Quality from the Perspective of Public Perception-Mechanism and Policy.
utb.wos.affiliation [Waris, Umra] Inst Art & Culture, Dept Qual Enhancement Cell, Lahore, Pakistan; [Waris, Umra] ILMA Univ, Sch Business Adm, Karachi 75190, Pakistan; [Cui, Lixin] Beijing Inst Technol, Sch Management, Beijing 100081, Peoples R China; [Abbas, Shujaat] Ural Fed Univ, Grad Sch Econ & Management, Ekaterinburg 620075, Sverdlovsk Obla, Russia; [Abbas, Shujaat] Cyprus Int Univ, Dept Business Adm, Via Mersin 10, Haspolat, Tr North Cyprus, Turkiye; [Shoaib, Muhammad] Tomas Bata Univ Zlin, Fac Management & Econ, Dept Business Adm, Mostni 5139, Zlin 76001, Czech Republic
utb.scopus.affiliation Department of Quality Enhancement Cell, Institute for Art and Culture, Lahore, Pakistan; School of Business Administration, ILMA University, Karachi, 75190, Pakistan; School of Management, Beijing Institute of Technology, Beijing, 100081, China; of Economics and Management, Ural Federal University, Sverdlovsk Oblast, Yekaterinburg, 620075, Russian Federation; Department of Business Administration, Cyprus International University, Haspolat, T.R. North Cyprus, Via Mersin 10, Lebanon; Tomas Bata University in Zlín, Faculty of Management and Economics, Department of Business Administration, Mostní 5139, Zlín, 76001, Czech Republic
utb.fulltext.projects 72174021
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