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Article

A Cross-National Study on Sustainable Smart City Indicators and Their Influence on Life Expectancy—A Cluster Analysis of EU Countries

by
Jana Chovancová
1,*,
Igor Petruška
1 and
Ugur Korkut Pata
2,3,4,5,6,7
1
Faculty of Management and Business, University of Prešov, Konštantínova 16, 080 01 Prešov, Slovakia
2
Department of Economics, Hatay Mustafa Kemal University, Hatay 31060, Türkiye
3
Department of Economics, Korea University, Seoul 136-701, Republic of Korea
4
Clinic of Economics, Azerbaijan State University of Economics (UNEC), Baku AZ1001, Azerbaijan
5
Advance Research Centre, European University of Lefke, Lefke 99010, Türkiye
6
Department of Economics and Management, Khazar University, Baku AZ1096, Azerbaijan
7
Economic Research Center (WCERC), Western Caspian University, Baku AZ1033, Azerbaijan
*
Author to whom correspondence should be addressed.
Urban Sci. 2024, 8(4), 164; https://doi.org/10.3390/urbansci8040164
Submission received: 30 July 2024 / Revised: 26 September 2024 / Accepted: 29 September 2024 / Published: 2 October 2024

Abstract

As a consequence of climate change and its negative impacts on the environment and on human health, the topic of sustainability has become an integral part of urban policy. Smart city initiatives around the world are focusing on different aspects of sustainability in order to provide better living conditions for their residents. The aim of this study is to investigate the impact of selected smart city indicators on the average life expectancy as a variable for quality of life and well-being. Based on a Common Correlated Effects (CCE) model, Instrumental Variable Estimator with Common Factors (2SIV), and clustering regression model, EU countries were divided into three distinct clusters indicating common elements but also specificities of each group. The analysis confirmed the positive impact of GDP growth, renewable energy consumption, and the proportion of the population with a tertiary level of education on life expectancy. On the other hand, CO2 emissions and transport pollution have an adverse effect. The analysis provides valuable insights into the complex relationship between smart city variables and quality of life, and it may serve as a basis for informed and responsible decision-making by relevant urban stakeholders aimed at designing more sustainable, resilient, and healthier cities.
Keywords: smart cities; urbanisation; CO2 emissions; renewable energy; life expectancy smart cities; urbanisation; CO2 emissions; renewable energy; life expectancy

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MDPI and ACS Style

Chovancová, J.; Petruška, I.; Pata, U.K. A Cross-National Study on Sustainable Smart City Indicators and Their Influence on Life Expectancy—A Cluster Analysis of EU Countries. Urban Sci. 2024, 8, 164. https://doi.org/10.3390/urbansci8040164

AMA Style

Chovancová J, Petruška I, Pata UK. A Cross-National Study on Sustainable Smart City Indicators and Their Influence on Life Expectancy—A Cluster Analysis of EU Countries. Urban Science. 2024; 8(4):164. https://doi.org/10.3390/urbansci8040164

Chicago/Turabian Style

Chovancová, Jana, Igor Petruška, and Ugur Korkut Pata. 2024. "A Cross-National Study on Sustainable Smart City Indicators and Their Influence on Life Expectancy—A Cluster Analysis of EU Countries" Urban Science 8, no. 4: 164. https://doi.org/10.3390/urbansci8040164

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