Smart City Gnosys

Smart city article details

Title The Interaction Between Smartness And The Urban Economy
ID_Doc 55933
Authors Yum S.
Year 2024
Published International Journal of Urban Sciences, 28, 3
DOI http://dx.doi.org/10.1080/12265934.2023.2283564
Abstract While many studies have tried to measure the magnitude of smart cities, they have not highlighted the degree of smartness and the interaction between smartness and the urban economy across all regions in the country. This study highlights them by employing a new 5Ic smart city index (Information, communication, and technology, Innovation, Intelligence, Infrastructure, and Inflow) based on all US Metropolitan Statistical Areas (MSAs) by employing the Seemingly Unrelated Regression (SUR) model. This study finds that New York, NY is the highest smart MSA, followed by Los Angeles, CA and San Francisco, CA. Second, the innovation and inflow indices and the GDP positively interact with each other (innovation → GDP: 0.006 and GDP → innovation: 0.018 and inflow → GDP: 0.031 and GDP → inflow: 0.028) when other important variables are controlled. Third, the SUR model is a better model than the OLS model since some smart city indices are associated with the GDP. Therefore, governments and urban planners should develop their smart city strategies based on the magnitude of smartness and the interaction between smartness and the urban economy in their regions. Highlights This study highlights the degree of smartness by employing a new 5Ic smart city index (Information, communication, and technology, Innovation, Intelligence, Infrastructure, and Inflow). This study employs the Seemingly Unrelated Regression model based on all US Metropolitan Statistical Areas. New York is the highest smart Metropolitan Statistical Area, followed by Los Angeles and San Francisco. The innovation and inflow indices and the Gross Domestic Product positively interact with each other. © 2023 The Institute of Urban Sciences.
Author Keywords Smart cities; smart city index; smartness; SUR; urban economy


Similar Articles


Id Similarity Authors Title Published
24673 View0.875Wall R.; Stavropoulos S.; Edelenbos J.; Pajević F.Evaluating The Performance Of Smart Cities In The Global Economic NetworkTransforming City Governments for Successful Smart Cities (2015)
44134 View0.872Vanli T.Ranking Of Global Smart Cities Using Dynamic Factor AnalysisSocial Indicators Research, 171, 2 (2024)
59795 View0.868Coluccia B.; Barbieri R.; Porrini D.; Natale F.Unveiling Urban Smartness: Empirical Evidence From Italian CitiesItalian Economic Journal (2025)
19646 View0.867Abu-Rayash A.; Dincer I.Development Of An Integrated Model For Environmentally And Economically Sustainable And Smart CitiesSustainable Energy Technologies and Assessments, 73 (2025)
20870 View0.863Dashkevych O.; Portnov B.A.Does City Smartness Improve Urban Environment And Reduce Income Disparity? Evidence From An Empirical Analysis Of Major Cities WorldwideSustainable Cities and Society, 96 (2023)
17741 View0.861Barbierato E.; Gatti A.Decoding Urban Intelligence: Clustering And Feature Importance In Smart CitiesFuture Internet, 16, 10 (2024)
38176 View0.861Ye F.; Chen Y.; Li L.; Li Y.; Yin Y.Multi-Criteria Decision-Making Models For Smart City Ranking: Evidence From The Pearl River Delta Region, ChinaCities, 128 (2022)
51249 View0.86Palmer W.Smart New York City: The Emergence Of Sustainable Technological InnovationsExamining the Socio-Technical Impact of Smart Cities (2021)
49601 View0.86Caragliu, A; Del Bo, CF; Nijkamp, PSmart Cities In Europe Revisited: A Meta-Analysis Of Smart City Economic ImpactsJOURNAL OF URBAN TECHNOLOGY, 30, 4 (2023)
49630 View0.859Tijjani K.S.; Sarıkaya Levent Y.; Levent T.Smart Cities In The Global Context: Geographical Analyses Of Regional DifferentiationsSystems, 13, 4 (2025)