Mapping spatio-temporal patterns of creative industries development in the Czech Republic
Creative industries characterized by subsectors of architecture, design, and advertising represent an important segment in implementation of post-Fordist economy principles. Hence, the governments and scholars are devoted to quantitative mapping of creative industries. The results of this mapping provide insight into number, structure and spatial distribution in a given area for subsequent identification of smart specialization of cities and regions. Furthermore, they serve as a basis for strategic planning of regional innovation systems. Finally yet importantly, this mapping is the basis for following qualitative mapping through research methods such as focus groups and the Delphi method among key actors of the particular creative ecosystem.
Unique feature of this paper is mainly in the methodology, which is detached from the traditional static view on the quantitative mapping of creative industries dealing with cross-sectional data solely. Therefore, this paper develops their use to spatial mapping of creative industries by the dynamic component concerning new approaches to Exploratory Spatial Data Analysis. This component is based on unbalanced panel dataset by using the differential local Moran’s I.
The results indicate a dynamic development of design and advertising enterprises at the municipal level in the Czech Republic, with options for internationalization of market, uniqueness of products and continual digitalization. On the contrary, subsector of architecture was identified as stagnant in terms of development, in relation to demand for these services that are affected by limited national real estate market, continual concentration of developers. Furthermore, the results revealed links between their spatial diffusion with process of residential suburbanization and strengthening of existing centres through the agglomeration and urbanization economies. Thus, those specifics underline a call for appropriate smart specialization policies along with policies concerning creative class retention in regional centres and rural areas.
Creative Industries Mapping Document DCMS 1998.
Žáková, E., Bednář, P., a kol. (2015). Mapování kulturních a kreativních průmyslů v ČR, Praha.
Saunders, P. (1985). Massey Doreen, Spatial Divisions of Labour. Journal of Public Policy, 5(1), 128-129.
Florida, R. (2014). The creative class and economic development. Economic development quarterly, 28(3), 196-205.
Kovács, Z., Tamás, E., & Szabó, B. (2011). Geographical aspects of creative economy in Hungary. Space and Society, 25(1), 42-62.
Środa-Murawska, S., Szymańska, D. (2013). The concentration of the creative sector firms as a potential basis for the formation of creative clusters in Poland. Bulletin of Geography. Socio-economic Series, 20(20), 85-93.
Slach, O., Koutský, J., Novotný, J., Ženka, J. (2013). Creative industries in the Czech Republic: a spatial perspective. Economics and Management, 4, 14-29.
Rehák, Š., Chovanec, M. (2012). Exploring spatial patterns of creative industries with firm level micro geographic data. Region Direct, 2, 10-35.
Nurković, R. (2015). Contemporary development of creative industries in Bosnia and Herzegovina. Quaestiones Geo-graphicae, 34(2), 45-51.
European Commission. (2010) Unlocking the Potential of Cultural and Creative Industries, Brussels.
Boix, R., Hervás‐Oliver, J. L., De Miguel-Molina, B. (2015). Micro-geographies of creative industries clusters in Eu-rope: From hot spots to assemblages. Papers in Regional Science, 94(4), 753-772.
Chapain, C., Comunian, R. (2010). Enabling and inhibiting the creative economy: The role of the local and regional dimensions in England. Regional studies, 44(6), 717-734.
Gordon, I. R., McCann, P. (2000). Industrial clusters: complexes, agglomeration and/or social networks? Urban studies, 37(3), 513-532.
Tafel-Viia, K., Terk, E., Lassur, S., Viia, A. (2015). Creative industries in the capital cities of the Baltic States: Are there innovations in urban policy? Moravian Geographical Reports, 23(4), 47-58.
O’Connor, J. (2009). Creative industries: a new direction? International journal of cultural policy, 15(4), 387-402.
Florida, R. (2005). Cities and the creative class. Routledge.
Rune, T.N.L., Volante, Q.N.B. (2010). Creative Economy Report 2010.
Kloudová, J., Chwaszcz, O. (2013). The evaluation of creativity effects on the regional development in the Czech Re-public. International Journal of Mathematical Models and Methods in Applied Sciences.
Vinodrai, T. (2015). Constructing the creative economy: Design, intermediaries and institutions in Toronto and Copen-hagen. Regional Studies, 49(3), 418-432.
McGranahan, D.A., Wojan, T.R., Lambert, D.M. (2010). The rural growth trifecta: outdoor amenities, creative class and entrepreneurial context. Journal of Economic Geography, 11(3), 529-557.
Evans, G. (2009). Creative cities, creative spaces and urban policy. Urban studies, 46(5-6), 1003-1040.
Grodach, C. (2013). Cultural economy planning in creative cities: Discourse and practice. International Journal of Ur-ban and Regional Research, 37(5), 1747-1765.
Van Heerden, S., Bontje, M. (2014). What about culture for the ordinary workforce? A study on the locational prefer-ences of the creative class in Prenzlauer Berg, Berlin. Journal of Urban Affairs, 36(3), 465-481.
Bereitschaft, B., Cammack, R. (2015). Neighborhood diversity and the creative class in Chicago. Applied Geography, 63, 166-183.
Landry, C. (2012). The creative city: A toolkit for urban innovators. Routledge.
Kind, S., Zu Kocker, G. (2012). Developing Successful Creative and Cultural Clusters, Berlin.
Krätke, S. (2010). ‘Creative cities’ and the rise of the dealer class: A critique of Richard Florida's approach to urban theory. International Journal of Urban and Regional Research, 34(4), 835-853.
Alberti, F.G., Giusti, J.D. (2012). Cultural heritage, tourism and regional competitiveness: The Motor Valley cluster. City, culture and society, 3(4), 261-273.
Malecki, E.J. (2007). Cities and regions competing in the global economy: knowledge and local development policies. Environment and Planning C: Government and policy, 25(5), 638-654.
Sýkora, L., Bouzarovski, S. (2012). Multiple transformations: Conceptualising the post-communist urban transition. Urban Studies, 49(1), 43-60.
Špačková, P., Pospíšilová, L., Ouředníček, M. (2016). The long-term development of socio-spatial differentiation in socialist and post-socialist Prague. Sociologický časopis/Czech Sociological Review, 52(6), 821-860.
Blažek, J., Netrdová, P. (2009). Can development axes be identified by socio-economic variables. The case of czechia. Geografie, 114, 245-262.
Ouředníček, M., Nemeškal, J., Špačková, P., Hampl, M., Novák, J. (2018). A synthetic approach to the delimitation of the Prague Metropolitan Area. Journal of Maps, 14(1), 26-33.
Grekousis, G. (2018). Further Widening or Bridging the Gap? A Cross-Regional Study of Unemployment across the EU Amid Economic Crisis. Sustainability, 10(6), 1702.
Fan, Y., Zhu, X., She, B., Guo, W., Guo, T. (2018). Network-constrained spatio-temporal clustering analysis of traffic collisions in Jianghan District of Wuhan, China. PLoS one, 13(4), e0195093.
Koschinsky, J. The Executive Director of the Center for Spatial Data Science at the University of Chicago. Interpretting differential Moran's I and Local Moran's I.
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