The impact of cultural and creative industries on the wealth of countries, regions and municipalities

Doménech, Rafael; Molina, Blanca de Miguel; Köster, Pau Rausell

doi:10.1080/09654313.2021.1909540

Cited by 23 publications

(16 citation statements)

References 22 publications

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“…Certainly, feedbacks and system‐effects can also play a relevant role in explaining the influence of CCP on HC. For instance, bidirectional relationships exist between cultural and creative industries and growth in terms of GDP (Boix Domenech et al, 2021; Marco‐Serrano et al, 2014). Thus, increasing wealth can be considered a driver of positive HC dynamics through the enlargement of the cultural and creative sectors.…”

Section: Resultsmentioning

confidence: 99%

The effect of cultural and creative production on human capital: Evidence from European regions

Mecocci

Maghssudipour

Bellandi

2022

Papers in Regional Science

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Cultural and creative production (CCP) can create, renovate, and shape places' socio‐economic environments. Recent contributions suggest that culture can activate a set of cognitive and productive mechanisms that form the basis of human capital (HC) dynamics. Bridging these two streams of research, the present paper investigates possible causal relationships between CCP and HC at the regional level. Empirically, we used measures of employment in the cultural and creative sectors as proxies for CCP and applied generalized method of moments (GMM) panel estimations to yearly data from 283 European NUTS 2 regions from 2014 to 2020. The findings suggest that CCP positively affects regions' average levels of HC even controlling for several economic and demographic factors.

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Section: Resultsmentioning

confidence: 99%

The effect of cultural and creative production on human capital: Evidence from European regions

Mecocci

Maghssudipour

Bellandi

2022

Papers in Regional Science

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“…Partial and ordinary least square regression methods have been applied to study determinants of clustering in creative industries (Lazzeretti et al, 2012). Econometric methods were employed to model direct and indirect macroeconomic impacts of creative industries in terms of production and employment (Bakhshi and McVittie, 2009;Boix-Dom�nech et al, 2021). Finally, several papers have analysed the effects of public support on creative industries.…”

Section: Methodsmentioning

confidence: 99%

A geography of creative networks: The case of a small European economy

Baláž

Jeck

Balog

2022

Moravian Geographical Reports

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This research project analyses the effects of networking by creative and conventional enterprises at regional and inter-industry levels. It relies on a unique dataset provided by the Slovak Creative Voucher Scheme and has some novel elements. We used direct evidence of industry locations from projects developed by creative industries rather than proxies. Network analysis was applied to establish major patterns in regional and inter-industry cooperation by creative and conventional firms. Regression models were used to analyse the network structure. The findings from quantitative analyses were complemented with evidence from qualitative methods. The network included a wide variety of cooperating partners. A sample of creative firms supported by the Creative Voucher Scheme cooperated with partners from no less than 60 industries. Spatial proximity was a key condition for cooperation, enabling face-to-face contacts and the development of a trusting relationship between creative firms and their clients.

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“…Creative industries have been identified as a key driver of urban economic development over the past two decades [1,[21][22][23][24][25]. Florida reasoned that neither industry nor operating businesses attracts human capital, but rather, creative people themselves and their concentration are key attracting factors in the placement and localization of business [1].…”

Section: Literature Reviewmentioning

confidence: 99%

Econometric Modeling of Creative Industries Concentration Process in the Siberian and the Urals Single-Industry Towns

Antonova,

Pchelintsev

2023

Mathematics

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Creative industry is considered the driver of modern urban development. It raises the new wave of issues of re-industrialization policy in single-industry towns. Nevertheless, the algorithms of current mathematical modeling in regional economies are not complex enough, leaving out spatial errors and variety in models used. We present eight steps of econometric analysis, considering local-level data. For the research, a balanced data panel was formed for 38 single-industry towns in Siberia and the Urals in Russia, for the period of 2013–2017. For mathematical modeling of the process of concentration of creative industries in single-industry towns, first, we present the specific indices of concentration, variety, and spatial disparities. Then, we test the full list of possible models for the variables. Then, we evaluate the regional offset. We describe the sufficient F-test, Hausman test and Breusch–Pagan Lagrange multiplier tests, choosing the most appropriate model. Finally, we evaluate the spatial autorepression of residuals. This algorithm allows us prove the data period and identify the tendency of spatial heterogeneity growth. We assume it to be the growing spillover effect in creative industries. At the same time, despite the positive trend of decreasing concentration of creative industries in single-industry towns, mono-industry continues to have a meaningful impact on their development, which forms the basis of path dependence. In this regard, the main actor of development in towns is city-forming enterprise, through the tools of corporate social responsibility. In view of the latter, it is proposed to develop tools for corporate creative responsibility in single-industry organizations within cities and regions. Finally, the general concern about the growth of spatial differentiation at the level of cities and regions is not yet significant.

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The impact of cultural and creative industries on the wealth of countries, regions and municipalities

Cited by 23 publications

References 22 publications

The effect of cultural and creative production on human capital: Evidence from European regions

The effect of cultural and creative production on human capital: Evidence from European regions

A geography of creative networks: The case of a small European economy

Econometric Modeling of Creative Industries Concentration Process in the Siberian and the Urals Single-Industry Towns

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