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dc.contributor.authorWIBOWO, Wahyu
dc.contributor.authorBUDIANTARA, I Nyoman
dc.contributor.authorWILANTARI, Regina Niken
dc.contributor.authorAMARA, Vira Desita
dc.date.accessioned2021-03-09T03:22:54Z
dc.date.available2021-03-09T03:22:54Z
dc.date.issued2020-10-01
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/103299
dc.description.abstractIn the fourth industrial revolution, information and communication technology (ICT) has posed a paradox. On the one hand, ICT plays an important role in human life, not only as information and communication devices but also as the booster of economic activities to enhance revenue. On the other hand, ICT has also created disruption in various aspects of life which resulting in disadvantages to some groups in the society. This study aims to examine whether technology still has a positive effect on the economy. To achieve this objective, it took a case study from East Java Province, Indonesia. The data is panel consisting of gross regional product and the number of ICT users in East Java. More specifically, the number of ICT users consists of several variables, i.e. the number of the mobile phone users, the number of computer users, the number of internet users, the number of internet users for transactions of goods and services, and the number of the internet users for financial facilities. The analysis employed least square panel regression with gross regional product as the response variable and the number of ICT users as a predictor variable. However, there was a high correlation between the predictor variables that caused the model regression not proper. This problem was solved by combining least square panel regression with Principal Component Analysis (PCA). Using PCA method, the dimension of the variable was reduced to be one principal component. This principal component is a linear combination of the predictor variables. Then, this principal component was regressed with the gross regional product. The best panel regression model is the Fixed Effect Model. This model shows that all predictor variables have positive coefficients. It means that ICT still has a positive impact on economic growth.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Integrated Engineeringen_US
dc.subjectInformation and communication technologyen_US
dc.subjecteconomic growthen_US
dc.subjectpanel regressionen_US
dc.subjectprincipal componenten_US
dc.titleThe Impact of ICT on Economic Growth in the Fourth Industrial Revolution: Modeling Using Principal Component Panel Regressionen_US
dc.typeArticleen_US
dc.identifier.kodeprodiKODEPRODI0810101#EkonomiPembangunan
dc.identifier.nidnNIDN0013097403


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