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dc.contributor.authorShang, Yuping
dc.contributor.authorZhou, Silu
dc.contributor.authorZhuang, Delin
dc.contributor.authorŻywiołek, Justyna
dc.contributor.authorDinçer, Hasan
dc.date.accessioned2024-05-02T10:50:06Z
dc.date.available2024-05-02T10:50:06Z
dc.date.issued2024en_US
dc.identifier.citationShang, Y., Zhou, S., Zhuang, D., Żywiołek, 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.2024.02.012en_US
dc.identifier.issn1342-937X
dc.identifier.urihttp://dx.doi.org/10.1016/j.gr.2024.02.012
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12427
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.en_US
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectEnterprise Environmental Performanceen_US
dc.subjectLabor Substitutionen_US
dc.subjectRobot Applicationen_US
dc.subjectEnterprise Innovationen_US
dc.titleThe impact of artificial intelligence application on enterprise environmental performance: evidence from microenterprisesen_US
dc.typearticleen_US
dc.relation.ispartofGondwana Researchen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümüen_US
dc.authorid0000-0002-8072-031Xen_US
dc.identifier.volume131en_US
dc.identifier.startpage181en_US
dc.identifier.endpage195en_US
dc.relation.ecinfo:eu-repo/grantAgreement/EC/FP7/72304084
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.gr.2024.02.012en_US
dc.institutionauthorDinçer, Hasan
dc.identifier.scopus2-s2.0-85188829564en_US
dc.identifier.scopusqualityQ1en_US


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