Share:


Integrated approach for exploring critical elements that affect sustainable development of cultural and creative industries

    Yueh-Cheng Wu Affiliation
    ; Sheng-Wei Lin Affiliation

Abstract

The cultural and creative industries (CCIs) are increasingly regarded as a means to cure economic stagnation and boost sustainable development; thus, they have become the focus of cultural, social, and economic policies. This study adopts a city governance perspective to explore topics that should be considered in CCIs development. We combine entropy weight and grey relational analysis into an evaluation indicator system that considers ambiguity and complexity. The results reveal the cities in the eastern region and offshore islands took more advantage of investment in cultural resources than cities in the western region. It indicates that local governments understand that the economic benefits of culture are not limited to certain CCIs but extend to the overall economy. Through stimulus policies, communities have been built and effectively revitalized regional economies. The developed method prioritizes the provision of cultural and creative resources to effectively improve resource–generating capacity of a city. This study provides suggestions for decision makers in cultural and creative sectors to help them overcome the gap in resource allocation between urban and rural areas.

Keyword : cultural and creative industry, sustainable development, grey relational analysis, resource allocation, entropy weight, regional development

How to Cite
Wu, Y.-C., & Lin, S.-W. (2021). Integrated approach for exploring critical elements that affect sustainable development of cultural and creative industries. Journal of Business Economics and Management, 22(3), 596-615. https://doi.org/10.3846/jbem.2021.14261
Published in Issue
Mar 19, 2021
Abstract Views
1646
PDF Downloads
1642
SM Downloads
312
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Baraldi, E., & Havenvid, M. I. (2016). Identifying new dimensions of business incubation: A multi-level analysis of Karolinska Institute’s incubation system. Technovation, 50, 53–68. https://doi.org/10.1016/j.technovation.2015.08.003

Bhansing, P. V., Hitters, E., & Wijngaarden, Y. (2018). Passion inspires: Motivations of creative entrepreneurs in creative business centres in the Netherlands. The Journal of Entrepreneurship, 27(1), 1–24. https://doi.org/10.1177/0971355717738589

Boccella, N., & Salerno, I. (2016). Creative economy, cultural industries and local development. Procedia-Social and Behavioral Sciences, 223, 291–296. https://doi.org/10.1016/j.sbspro.2016.05.370

Budge, K. (2019). Making in the city: Disjunctures between public discourse and urban policy. Australian Geographer, 50(2), 185–199. https://doi.org/10.1080/00049182.2018.1503045

Chang, W. S., & Lee, Y. H. (2015). Policy momentum for the development of Taiwan’s cultural creative industries. Current Issues in Tourism, 18(11), 1088–1098. https://doi.org/10.1080/13683500.2014.992395

Dahooie, J., Vanaki, A., Mohammadi, N., & Firoozfar, H. (2018). Selection of optimal variant route based on dynamic fuzzy GRA. Decision Science Letters, 7, 523–534. https://doi.org/10.5267/j.dsl.2017.11.004

Deng, J. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1–24. http://www.researchinformation.co.uk/grey/IntroGreySysTheory.pdf

Florida, R. (2002). The rise of the creative class (Vol. 9). Basic books.

Gangurde, S. R. (2016). Benchmark the best factory data collection system (FDC) using AHP-GRA method. Benchmarking: An International Journal, 23(2), 359–370. https://doi.org/10.1108/BIJ-03-2014-0023

Goldberg-Miller, S. B. (2019). Creative city strategies on the municipal agenda in New York. City, Culture and Society, 17, 26–37. https://doi.org/10.1016/j.ccs.2018.08.004

Gottdiener, M. (2019). New urban sociology. In A. Orum (Ed.), The Wiley Blackwell encyclopedia of urban and regional studies (pp. 1–5). McGraw Hill.

Hashemi, S. H., Karimi, A., & Tavana, M. (2015). An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. International Journal of Production Economics, 159, 178–191. https://doi.org/10.1016/j.ijpe.2014.09.027

Hauge, E. S., Pinheiro, R. M., & Zyzak, B. (2018). Knowledge bases and regional development: Collaborations between higher education and cultural creative industries. International Journal of Cultural Policy, 24(4), 485–503. https://doi.org/10.1080/10286632.2016.1218858

Hernández-Mogollón, J. M., Duarte, P. A., & Folgado-Fernández, J. A. (2018). The contribution of cultural events to the formation of the cognitive and affective images of a tourist destination. Journal of Destination Marketing & Management, 8, 170–178. https://doi.org/10.1016/j.jdmm.2017.03.004

Irankhahi, M., Jozi, S., Farshchi, P., Shariat, S., & Liaghati, H. (2017). Combination of GISFM and TOPSIS to evaluation of Urban Environment Carrying Capacity (case study: Shemiran City, Iran).

International Journal of Environmental Science and Technology, 14, 1317–1332. https://doi.org/10.1007/s13762-017-1243-0

Kim, C. (2017). Locating creative city policy in East Asia: Neoliberalism, developmental state and assemblage of East Asian cities. International Journal of Cultural Policy, 23(3), 312–330. https://doi.org/10.1080/10286632.2015.1048242

Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers x Industrial Engineering, 55(1), 80–93. https://doi.org/10.1016/j.cie.2007.12.002

Landoni, P., Dell’era, C., Frattini, F., Petruzzelli, A. M., Verganti, R., & Manelli, L. (2020). Business model innovation in cultural and creative industries: Insights from three leading mobile gaming firms. Technovation, 92, 102084. https://doi.org/10.1016/j.technovation.2019.102084

Lu, C., & Chang, J. L. (2016). Beijing cultural and creative industry policy effect evaluation based on fuzzy comprehensive evaluation. Cluster Computing, 19, 2133–2143.

Maryunani, S. R., & Mirzanti, I. R. (2015). The development of entrepreneurship in creative industries with reference to Bandung as a creative city. Procedia-Social and Behavioral Sciences, 169, 387–394. https://doi.org/10.1016/j.sbspro.2015.01.324

Ochoa, E. A., & Ramírez, P. M. C. (2018). Cultural industries and spatial economic growth a model for the emergence of the creative cluster in the architecture of Toronto. City, Culture and Society, 14, 47–55. https://doi.org/10.1016/j.ccs.2018.03.001

Otmazgin, N., & Ben-Ari, E. (2012). Cultural industries and the state in East and Southeast Asia. In N. Otmazgin & E. Ben Arie (Eds.), Popular culture and the state in East and Southeast Asia (pp. 3–26). Routledge. https://doi.org/10.4324/9780203801536

Pereira Roders, A., & van Oers, R. (2011). Bridging cultural heritage and sustainable development. Journal of Cultural Heritage Management and Sustainable Development, 1(1), 5–14. https://doi.org/10.1108/20441261111129898

Pratt, A. C. (2011). The cultural contradictions of the creative city. City, Culture and Society, 2(3), 123–130. https://doi.org/10.1016/j.ccs.2011.08.002

Protogerou, A., Kontolaimou, A., & Caloghirou, Y. (2017). Innovation in the European creative industries: A firm-level empirical approach. Industry and Innovation, 24(6), 587–612. https://doi.org/10.1080/13662716.2016.1263551

Rajesh, R., & Ravi, V. (2015). Supplier selection in resilient supply chains: A grey relational analysis approach. Journal of Cleaner Production, 86, 343–359. https://doi.org/10.1016/j.jclepro.2014.08.054

Rodrigues, M., & Franco, M. (2018). Measuring the performance in creative cities: Proposal of a multidimensional model. Sustainability, 10(11), 4023. https://doi.org/10.3390/su10114023

Safari, M., Kakaei, R., Ataei, M., & Karamoozian, M. (2012). Using fuzzy TOPSIS method for mineral processing plant site selection. Arabian Journal of Geosciences, 5, 1011–1019. https://doi.org/10.1007/s12517-010-0234-y

Stano, P. M., & Węziak-Białowolska, D. (2017). Measuring cultural and creative activities in European cities: Challenges and practical problems with existing indices. Creativity Research Journal, 29(3), 292–303. https://doi.org/10.1080/10400419.2017.1360066

United Nations. (2010). The United Nations Conference on Trade and Development. Creative economy (Report 2010). UNDP-UNCTAD. https://unctad.org/system/files/official-document/ditctab20103_en.pdf

Ursic, M. (2019). Inadequate adaptation of creative city paradigm? Taiwanese cultural and creative-led urban regeneration policies through the eyes of urban development experts. Space and Polity, 23(1), 67–91. https://doi.org/10.1080/13562576.2019.1598257

Vatansever, K., & Akgűl, Y. (2018). Performance evaluation of websites using entropy and grey relational analysis methods: The case of airline companies. Decision Science Letters, 7, 119–130. https://doi.org/10.5267/j.dsl.2017.6.005

Wang, T. K., Zhang, Q., Chong, H. Y., & Wang, X. (2017). Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA). Sustainability, 9(2), 289. https://doi.org/10.3390/su9020289

Wu, Y. C., Lin, S. W., & Wang, Y. H. (2020). Cultural tourism and temples: Content construction and interactivity design. Tourism Management, 76, 103972. https://doi.org/10.1016/j.tourman.2019.103972

Yigitcanlar, T., & Lönnqvist, A. (2013). Benchmarking knowledge-based urban development performance: Results from the international comparison of Helsinki. Cities, 31, 357–369. https://doi.org/10.1016/j.cities.2012.11.005

Yusuf, S., & Nabeshima, K. (2005). Creative industries in East Asia. Cities, 22(2), 109–122. https://doi.org/10.1016/j.cities.2005.01.001

Zhang, L., Xu, Y., Yeh, C. H., Liu, Y., & Zhou, D. (2016). City sustainability evaluation using multicriteria decision making with objective weights of interdependent criteria. Journal of Cleaner Production, 131, 491–499. https://doi.org/10.1016/j.jclepro.2016.04.153