Urban Creativity

An Efficiency Evaluation Combining DEA With SFA Models

Bibliographic Data

ID21352913
AuthorsFrancesco Rania (0000-0002-2518-266X, Department of Law, Economics and Sociology University of Catanzaro “Magna Graecia” Catanzaro Italy, corresponding author), Emanuela Macrì (0000-0002-8301-0209, Department of Law, Economics and Sociology University of Catanzaro “Magna Graecia” Catanzaro Italy), Valeria Morea (0000-0002-6002-3170, Department of Arts and Culture Studies, Erasmus School of History, Culture and Communication Erasmus University Rotterdam Rotterdam the Netherlands)
Year2026
Volume66
Issue2
Pages574-601
Publication date2026-03-01
Open AccessYes
TypeARTICLE
VenueJournal of Regional Science (JOURNAL)
Journal identifiersISSN: 0022-4146 • E-ISSN: 1467-9787
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jors.70052
OpenAlexW7118277684
LanguageEN
References cited55

Technical efficiency analysis is widely applied in the cultural and creative sectors. However, little research uses this notion to understand how these economic activities perform at the urban level. In this paper, conceptually, we operationalize urban creativity (UC) as the joint realm of cultural heritage and creative economy; empirically, we measure UC by combining their respective technical‐efficiency scores via entropy‐weighted aggregation. Our research focuses on 107 Italian cities at NUTS‐3 levels and tests the diverse contributions made by the activities mentioned above in the period from 2014 to 2019. Data envelopment analysis and stochastic frontier analysis, both considered in two‐stages approach and output‐oriented, were combined through weighted entropy. The first results show that cultural heritage is the most efficient and decisive contributor to the UC index. In the entropy‐weighted composite, a high CH efficiency score carries greater weight and thus contributes more strongly to overall UC. Conversely, where CH efficiency is weaker, a high CE score can partially compensate, reflecting a synergy mechanism in the composite index. Moreover, we found that small cities tend to make careful and efficient use of resources, while most of the large cities, even when well‐endowed, struggle to govern their CCIs efficiently. This work also examines the contribution of external factors to UC, finding that the influence of GDP, crime, unemployment, educational level, and geographical location (South‐North or West‐East) on UC is limited to specific clusters or peripheral cities. Political faith, understood as local political action, has a generally positive effect and can result in up to +14% improvement, with less equipped cities more likely to benefit from it

Creativity · Cultural heritage · Data envelopment analysis · Frontier · Operationalization · Politics · Realm · Work (physics) · Cultural Industries and Urban Development · Efficiency Analysis Using DEA · Regional resilience and development

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