Unravelling the Creative Potential: From Anatomy to Analogy of Spatial Indicators in Darağaç, İzmir


Creative Commons License

Küçükoğlu H., Çubukçu E., Gökçen Ş.

Places in Transition: Contemporary Perspectives on Architecture,Heritage, and Urban Transformation, D. Eldardiry,A. Mobaraki,M. Nikoofam, Editör, Cinius Yayınevi, İstanbul, ss.177-186, 2026

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2026
  • Yayınevi: Cinius Yayınevi
  • Basıldığı Şehir: İstanbul
  • Sayfa Sayıları: ss.177-186
  • Editörler: D. Eldardiry,A. Mobaraki,M. Nikoofam, Editör
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Economic based approaches suggest that economic growth has a regional and local character, and that theclustering of firms enhances productivity and economic gains by fostering tight inter-firm networks (Florida, 2003,citing Marshall; Porter, 1998). The clustering of firms enhances sharing, matching, and learning processes, whilealso increasing face-to-face interaction that facilitates effective knowledge transfer (Duranton & Puga, 2004). Inbrief litertaure suggest that economic agglomeration enhances productivity, knowledge exchange, and innovation.Given that, economic agglomeration theories explain creative spaces as the outcome of agglomeration andclustering, which generate creative value in space.The transformation of economic accumulation into creative value has gained significant academic attention,particularly following Florida’s (2003) 3Ts (technology, talent, tolerance) model. According to this framework,firms cluster in regions characterized by high concentration of talented human capital, which acts as an engine forinnovation and economic growth. The creative class serves as a catalyst that attracts high-tech and rapidly growingfirms to a given locality. Conversely, according to Pratt (2008), cultural industries are not isolated activities ofexceptionally talented individuals or frontline artists; rather, they constitute a socially situated, collective processthat incorporates all actors—both artists and non-artists—across all segments of the production chain. On the otherhand, Scott (2006) introduces a critical dimension to models integrating the creative class into the creative city,cautioning that while metropolises may have the potential to attract creative talent, these urban areas frequentlyharbor profound socio-cultural and economic inequalities. He argues that as long as these structural constraintsand persistent inequities remain unaddressed, the ultimate and holistic success of the creative city remainsunattainable.Studies examining the success of creative spaces from a holistic, multidimensional perspective remain scarce.The limited body of research has proposed some indicators and analytical models to assess the spatial and socio-economic impacts of creative spaces. For example, Putnam (2000) analyzed creative production across a broadspectrum, ranging from undergraduate education to patent ownership, by measuring social capital throughcategories such as political participation, civic leadership, and volunteering via the Talent and Bohemian indices.Lidegaard et al. (2017) then adapted this structure to cultural districts by proposing a dynamic matrix with “top-down/bottom-up” and “explicit/tacit” strategic axes. Tsang and Siu (2016) likewise highlighted the “3C Model”(Cluster, Community, Creativity), which integrates space, community, and creativity to examine the sustainabilityof creative clusters. Their comparison of a state-supported complex (PMQ) and an organically developed localcommunity (Easy-Pack) showed that the local community, despite physical shortcomings, was more productive,flexible, and sustainable. This finding indicates that community ties, characterized as “soft power,” can integratemore organically with space in determining the success of urban regeneration strategies. Cerreta et al. (2025)further support this role of local dynamics and informal, flexible practices in a focus group study on civic initiatives.They found that governance of urban commons depends on these practices rather than mere institutionalrecognition. Moreover, rigid legal recognition mechanisms trigger top-down processes and weaken participation,while direct economic independence exerts pressure on broad-based socialization networks.178 Kücükoğlu, H., Çubukçu, E., & Gökcen, Ş.In paralel, meta-analyses and systematic reviews on creative class, creative space, and creative value highlightthe complex and multidimensional nature of the subject. A meta-analysis by Gutierrez et al. (2023), based on variousdatasets from the UK between 1998 and 2018, demonstrate that the creative industries generate a positivemultiplier effect on local urban service employment, with each creative job generating at least 1.9 additional non-tradable jobs. However, the same study also showed that no significant technological or informational spillovereffect from creative activities to other tradable sectors, such as manufacturing. This study challenges the commonassumption that creativity-oriented urban policies produce similar positive effects for all types of cities, suggestingthat policies which ignore spatial and sectoral differences may neither stimulate employment growth nor reduceregional inequalities. Another meta-analysis focusing on the external networks and innovative initiatives wasconducted specifically on 195 culture-led regeneration projects supported by national funds in Italy between 2012and 2018 (Micelli et al., 2024). A total of 195 regeneration projects were examined in terms of localization,ownership of spatial assets, types of activities, and actor networks to identify spatial and structural trends in Italy.The results revealed that innovative initiatives seek intensive interaction and collaboration with the public sectorto ensure spatial and economic sustainability, and that a lasting socio-spatial impact can only be realized with thesupport of local governments. In another study aimed at measuring the culture-oriented development potential ofEgyptian cities by analyzing 19 cities across 64 indicators, Salem et al. (2025) determined that while Giza andAlexandria stand out with their infrastructure, innovation, and human capital endowments, specific public policiesand targeted spatial investments are required for the development of lagging cities. The study argues that local-scale indices are better suited than universal indices to capture each city's unique capacities and dynamics. Casadeiet al. (2023)argued that culture-driven transformation studies are predominantly concentrated around threefundamental macro-themes: creative cities and the creative class, cultural production and districts, and creativeindustries and agglomeration dynamics. This meta-analysis determined that approximately Majority of studiesrelies on qualitative research methods, while only 30% adopts quantitative research methods. Such relatively scarcequantitative analyses is explained by the difficulty of defining the complex nature and sectoral dynamics of creativeindustries using standard, homogeneous criteria.In this regard, there remains an evident methodological gap that has yet to reach saturation concerning themeasurement of the multidimensional impacts of culture-led regeneration using objective metrics. Additionally, anotable shortcoming is apparent regarding the direct evaluation of these findings within a spatial dimension.Despite comprehensive theoretical discussions in the literature, lack of measurable and testable analytical datamodels capable of concretizing the abstract socio-economic and cultural outputs generated by this regenerationprocess on a spatial context persists as a fundamental problem in the field. Based on these methodological andpractical constraints, the primary aim of this study is to address economic, social, cultural, and political processes—which inherently proceed abstractly or can operate independently of physical space—from a spatial perspective,and to transform these multidimensional processes into measurable, modelable, and verifiable datasets.