EconPapers    
Economics at your fingertips  
 

Governance, quality of life and city performance: A study based on artificial intelligence

María J. Pazos-García, Vicente López-López, Guadalupe Vila-Vázquez () and Xesús Pablo González
Additional contact information
María J. Pazos-García: Universidade de Santiago de Compostela
Vicente López-López: Universidade de Santiago de Compostela
Guadalupe Vila-Vázquez: Universidade de Santiago de Compostela
Xesús Pablo González: Universidade de Santiago de Compostela

Journal of Computational Social Science, 2025, vol. 8, issue 4, No 1, 14 pages

Abstract: Abstract The purpose of this study is to analyse the joint influence of several good governance variables (e-government, transparency and reputation) and quality of life (QoL) on the performance of Spanish cities. Using objective data with a time lag, this study employed artificial intelligence (AI) and the Konstanz Information Miner (KNIME) open-source tool platform to test the proposed model. The results of this study indicate that the city’s performance − measured by the employment ratio − is largely explained by good governance resources (e-government, transparency and reputation) and quality of life (QoL). The findings of this study contribute to fill the gap of studies that analyse the effect of city governance resources and QoL on city performance. Furthermore, they support the premises of the resource-based view (RBV) theory employing a novel methodology. The results of the study also provide important clues for city governments that want to improve and/or maintain the performance of their cities.

Keywords: Good governance; QoL (quality of life); City performance; AI (artificial intelligence) (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s42001-025-00416-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jcsosc:v:8:y:2025:i:4:d:10.1007_s42001-025-00416-5

Ordering information: This journal article can be ordered from
http://www.springer. ... iences/journal/42001

DOI: 10.1007/s42001-025-00416-5

Access Statistics for this article

Journal of Computational Social Science is currently edited by Takashi Kamihigashi

More articles in Journal of Computational Social Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-08-13
Handle: RePEc:spr:jcsosc:v:8:y:2025:i:4:d:10.1007_s42001-025-00416-5