{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T17:51:52Z","timestamp":1776448312862,"version":"3.51.2"},"reference-count":63,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T00:00:00Z","timestamp":1655856000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Minister of Science and Higher Education","award":["018\/RID\/2018\/19"],"award-info":[{"award-number":["018\/RID\/2018\/19"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Energies"],"abstract":"<jats:p>The relationship between information and communication technology investment (ICT), environmental impacts, and economic growth has received increasing attention in the last 20 years. However, the relationship between ICT, energy intensity, environmental impacts, and economic growth was relatively neglected. In this paper, we aimed to contribute to the environmental literature by simultaneously analyzing the relationship between ICT, energy intensity, economic growth, Carbon dioxide (CO2) emissions, and energy consumption for the period of 1990\u20132020 in G7 countries. We employed the Panel Quantile Auto Regressive Distributed Lag (PQARDL) method and Panel Quantile Granger Causality (PQGC) methods. According to the results of PQARDL method, energy consumption, ICT, CO2 emission, and energy intensity have effects on economic growth in the long and short run. According to the of PQGC methods allowing causality results for different quantiles, there is evidence of a bidirectional causality between ICT investment and economic growth for all quantiles and evidence of a unidirectional causality from ICT to energy consumption and from CO2 emissions to ICT investment and energy efficiency. Our results indicate that the governments of the G7 countries have placed energy efficiency and ICT investment at the center of their policies while determining their environmental and energy policies, since energy consumption is a continuous process.<\/jats:p>","DOI":"10.3390\/en15134567","type":"journal-article","created":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T21:31:06Z","timestamp":1655933466000},"page":"4567","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["ICT, Energy Intensity, and CO2 Emission Nexus"],"prefix":"10.3390","volume":"15","author":[{"given":"Melike E.","family":"Bildirici","sequence":"first","affiliation":[{"name":"Department of Economics, Faculty of Economics and Administrative Studies, Davutpa\u015fa Campus, Y\u0131ld\u0131z Technical University, Esenler, Istanbul 34220, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1882-4801","authenticated-orcid":false,"given":"Rui Alexandre","family":"Castanho","sequence":"additional","affiliation":[{"name":"Faculty of Applied Sciences, WSB University, 41-300 Dabrowa G\u00f3rnicza, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Faz\u0131l","family":"Kay\u0131k\u00e7\u0131","sequence":"additional","affiliation":[{"name":"Department of Economics, Faculty of Economics and Administrative Studies, Davutpa\u015fa Campus, Y\u0131ld\u0131z Technical University, Esenler, Istanbul 34220, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sema Y\u0131lmaz","family":"Gen\u00e7","sequence":"additional","affiliation":[{"name":"Department of Economics, Faculty of Economics and Administrative Studies, Davutpa\u015fa Campus, Y\u0131ld\u0131z Technical University, Esenler, Istanbul 34220, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,22]]},"reference":[{"key":"ref_1","unstructured":"Mills, M. 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