The impact of artificial intelligence application on enterprise environmental performance: evidence from microenterprises

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dc.authorid0000-0002-8072-031X
dc.contributor.authorShang, Yuping
dc.contributor.authorZhou, Silu
dc.contributor.authorZhuang, Delin
dc.contributor.author?ywio?ek, Justyna
dc.contributor.authorDinçer, Hasan
dc.date.accessioned2024-05-02T10:50:06Z
dc.date.available2024-05-02T10:50:06Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThe progress of artificial intelligence (AI) technology is an important way to solve the problem of global sustainable development. This paper discusses how AI, as a new scientific force, affects the pollution reduction of enterprises from a micro perspective. In this paper, the robot data provided by the International Federation of Robotics and pollution data of industrial enterprises in China are used for empirical analysis to test the effect of AI on pollution performance of enterprises. The results show that the application of AI can reduce enterprise emissions through technological innovation effect and labor substitution effect, and this result remains robust after sample substitution and variable substitution. Further heterogeneity analysis shows that AI has a more significant impact on enterprises in big cities and southern cities, as well as large enterprises, old enterprises and non-technology-intensive enterprises. The research results of this paper provide an effective reference for solving how to achieve green and sustainable development of artificial intelligence applications.
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_US
dc.identifier.citationShang, Y., Zhou, S., Zhuang, D., ?ywio?ek, J. ve Dinçer, H. (2024). The impact of artificial intelligence application on enterprise environmental performance: evidence from microenterprises. Gondwana Research, 131, 181-195. http://dx.doi.org/10.1016/j.gr.2024.02.012
dc.identifier.doi10.1016/j.gr.2024.02.012
dc.identifier.endpage195
dc.identifier.issn1342-937X
dc.identifier.scopus2-s2.0-85188829564
dc.identifier.scopusqualityQ1
dc.identifier.startpage181
dc.identifier.urihttp://dx.doi.org/10.1016/j.gr.2024.02.012
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12427
dc.identifier.volume131
dc.identifier.wos001215444000001en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.language.isoen
dc.relation.ecinfo:eu-repo/grantAgreement/EC/FP7/72304084
dc.relation.ispartofGondwana Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Intelligence
dc.subjectEnterprise Environmental Performance
dc.subjectLabor Substitution
dc.subjectRobot Application
dc.subjectEnterprise Innovation
dc.titleThe impact of artificial intelligence application on enterprise environmental performance: evidence from microenterprises
dc.typeArticle

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