Received:
2018-02-27 | Accepted:
2018-03-25 | Published:
2018-06-30
Title
The effect of clusters on the innovation performance of enterprises: traditional vs new industries
Abstract
The present paper assesses the effect of the formation of cluster organisations on the innovation performance of member enterprises in two different industries – the traditional textile manufacturing industry and the new nanotechnology industry. Innovation performance is explored using Data Envelopment Analysis in two phases. In the first phase, it examines the ability of enterprises to transform resources (labour force, long-term capital, intellectual capital) into registered industrial property rights: patents, utility models, industrial designs, and trademarks. In the second phase, it assesses the ability of enterprises to commercialise industrial property rights and generate profits. Innovation performance then integrates both phases. In each industry, two samples were assessed: member enterprises of cluster organisations, and enterprises that operate in the same industry and region but are not members of a cluster organisation. The results of the research show that the existence of a cluster organisation has a greater effect on innovation performance in the traditional textile manufacturing industry. In contrast, in the new nanotechnology industry, the existence of a cluster organisation did not prove to have any significant effect on innovation effectiveness. In this industry, the existence of a cluster organisation had only a partial effect related to better industrial property rights commercialisation. Research shows that the type of industry is an important factor in the innovation performance of clustered enterprises.
Keywords
cluster organisation, industry cluster, textile cluster, nanotechnological cluster, innovation performance, innovation effectiveness, innovation efficiency, data envelopment analysis
JEL classifications
C61
, L67
, O32
URI
http://jssidoi.org/jesi/article/183
DOI
HAL
Pages
780-794
Funding
The research was conducted with the financial support of Czech Science Foundation grant no. GA18-01144S entitled “An empirical study of the existence of clusters and their effect on the performance of member enterprises”.
This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License
References
Akhmetshin, E. M.; Kolpak, E. P.; Sulimova, E. A.; Kireev, V. S.; Samarina, E. A.; Solodilova, N. Z. 2017. Clustering as a criterion for the success of modern industrial enterprises, International Journal of Applied Business and Economic Research 15(23): 221-231. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038933529&partnerID=40&md5=040e9b285096f5293596e2ac050d4bdb
Search via ReFindit
Alcácer, J.; Chung, W. 2014. Location Strategies for Agglomeration Economies, Strategic Management Journal 35(12): 1749-1761. https://doi.org/10.1002/smj.2186
Search via ReFindit
Audretsch, D. B.; Feldman, M. P. 1996. R&D spillovers and the geography of innovation and production, The American Economic Review 86(3): 630–640.
Search via ReFindit
Baptista, R. 2000. Do innovations diffuse faster within geographical clusters? International Journal of Industrial Organization 18(3): 515–535. https://doi.org/10.1016/S0167-7187(99)00045-4
Search via ReFindit
Baptista, R.; Swann, P. 1998. Do firms in clusters innovate more? Research Policy 27(5): 525–540. https://doi.org/10.1016/S0048-7333(98)00065-1
Search via ReFindit
Beaudry, C.; Breschi, S. 2003. Are firms in clusters really more innovative? Economics of Innovation and New Technology 12(4): 325–342. https://doi.org/10.1080/10438590290020197
Search via ReFindit
Bisnode. 2017. MagnusWeb CZ Database. Available on the Internet: https://magnusweb.bisnode.cz
Search via ReFindit
CzechInvest. 2018. Statistika čerpání dotací a zvýhodněných úvěrů z programů OPPP [Statistics on the use of subsidies and preferential credits from OPIE programs]. Available on the Internet: http://isop.czechinvest.org/isop_oppp/WebVystupy/stat_cerp_dotaci_z_OPPP.aspx
Search via ReFindit
CZSO. 1993. Statistical Yerbook of the Czech Republic 1993. Prague: Czech Statistical Office.
Search via ReFindit
CZSO. 2017. Statistical Yearbook of the Czech Republic 2017. Prague: Czech Statistical Office. Available on the Internet: https://www.czso.cz/csu/czso/statistical-yearbook-of-the-czech-republic
Search via ReFindit
D'Alise, C.; Giustiniano, L.; Peruffo, E. 2014. Innovating Through Clusters, International Journal of Engineering Business Management 6(28): 1–14. https://doi.org/10.5772/59028
Search via ReFindit
De Propris, L.; Driffield, N. 2006. The importance of clusters for spillovers from foreign direct investment and technology sourcing, Cambridge Journal of Economics 30(2): 277–291. https://doi.org/10.1093/cje/bei059
Search via ReFindit
Enright, M. J. 1996. Regional Clusters and Economic Development: A Research Agenda, in Staber, U. H. (Ed.); Schaefer, N. V. (Ed.); Sharma, B. D. (Ed.). Business Networks: Prospects for Regional Development. Berlin: de Gruyter, 190–214.
Search via ReFindit
Fang, L. 2015. Do Clusters Encourage Innovation? A Meta-analysis, Journal of Planning Literature 30(3): 239–260. https://doi.org/10.1177/0885412215589848
Search via ReFindit
Feldman, M. P. 1999. The New Economics Of Innovation, Spillovers And Agglomeration: A review Of Empirical Studies, Economics of Innovation and New Technology 8(1-2): 5–25. https://doi.org/10.1080/10438599900000002
Search via ReFindit
Ferreira, M. P.; Serra, F. R.; Costa, B. K.; Maccari, E. A.; Couto, H. R. 2012. Impact of the Types of Clusters on the Innovation Output and the Appropriation of Rents from Innovation, Journal of Technology Management and Innovation 7(4): 70–80.
Search via ReFindit
Folta, T. B.; Cooper, A. C.; Baik, Y. 2006. Geographic cluster size and firm performance, Journal of Business Venturing 21(2): 217–242. https://doi.org/10.1016/j.jbusvent.2005.04.005
Search via ReFindit
Gimeno, J.; Beal, B. D. 2001. Geographical Agglomeration, Knowledge Spillovers, and Competitive Evolution. Academy of Management Annual Meeting Proceedings, No. 1. Ed. by Guclu, A., August 2001, New York: Academy of Management, A1–A6. https://doi.org/10.5465/APBPP.2001.6123142
Search via ReFindit
Isaksen, A. 2006. Knowledge-intensive industries and regional development: The case of software industry in Norway, in Cooke, P. (Ed.); Piccaluga, A. (Ed.). Regional Development in the Knowledge Economy. London, New York: Routledge, 43–62.
Search via ReFindit
Jablonský, J.; Dlouhý, M. 2004. Modely hodnocení efektivnosti produkčních jednotek [Models of Efficiency Assessment for Decision-Making Units]. Prague: Professional Publishing.
Search via ReFindit
Jaffe, A. B.; Trajtenberg, M.; Henderson, R. 1993. Geographic localization of knowledge spillovers as evidenced by patent citations, The Quarterly Journal of Economics 108(3): 577-598. https://doi.org/10.2307/2118401
Search via ReFindit
Kaličanin, D.; Gavrić, O. 2014. The importance of clusters as drivers of competitive advantage of companies, Ekonomika preduzeća 62(3-4), 164–172.
Search via ReFindit
Ketels, C. H. M.; Memedovic, O. 2008. From clusters to cluster-based economic development, International Journal of Technological Learning, Innovation and Development 1(3): 375–392.
Search via ReFindit
Khan, J. H.; Ghani, J. 2004. Clusters and Entrepreneurship: Implications for Innovation in a Developing Economy, Journal of Developmental Entrepreneurship 9(3): 221–238.
Search via ReFindit
Krugman, P. 1991. Increasing Returns and Economic Geography, The Journal of Political Economy 99(3): 483-499.
Search via ReFindit
Krugman, P. 2010. The new economic geography, Now middle aged, Regional Studies 45(1): 1–7, https://doi.org/10.1080/00343404.2011.537127
Search via ReFindit
Kukalis, S. 2010. Agglomeration Economies and Firm Performance: The Case of Industry Clusters, Journal of Management 36(2), 453–481. https://doi.org/10.1177/0149206308329964
Search via ReFindit
Lecocq, C.; Leten, B.; Kusters, J.; van Looy, B. 2011. Do Firms Benefit from being Present in Multiple Technology Clusters? An Assessment of the Technological Performance of Biopharmaceutical Firms, Regional Studies 46(9): 1107–1119. https://doi.org/10.1080/00343404.2011.552494
Search via ReFindit
Methods In Economics, Conference Proceedings. Ed. by Pražák, P. September 13-15, Hradec Králové, Czech Republic. Hradec Králové: Gaudeamus, 878–883.
Search via ReFindit
Motoyama, Y. 2008. What Was New About the Cluster Theory? Economic Development Quarterly 22(4): 353–363.
Search via ReFindit
OECD. 2002. OECD Science, Technology and Industry Outlook. Paris: OECD.
Search via ReFindit
Porter, M. E. 1998. Clusters and the New Economics of Competition, Harvard Business Review 76(6): 77–90. https://www.csus.edu/indiv/c/chalmersk/econ251fa12/clustersneweconofcompetition.pdf
Search via ReFindit
Razminienė, K., & Tvaronavičienė, M. 2017. Economic globalization and its' impacts on clustering. Terra Economicus, 15(2), 109-121. https://doi.org/10.23683/2073-6606-2017-15-2-109-121
Search via ReFindit
Sölvell, Ö.; Lindqvist, G.; Ketels, Ch. 2003. The Cluster Initiative Greenbook. Stockholm: VINNOVA.
Search via ReFindit
Suleimanova, K.A. 2014. Trends in the development of the world exhibition industry. Mechanization of construction 6 (840): 57-59.
Search via ReFindit
Swann, G.; Prevezer, M. 1998. A comparison of the dynamics of industrial clustering in computing and biotechnology, Research Policy 25, 1139–1157.
Search via ReFindit
Terstriep, J.; Lüthje, C. 2012. Do clusters as open innovation systems enhance firms’ innovation performance? 19th International Product Development Management Conference: "Transformative Research in Product and Service Innovation". June 17-19, Manchester, UK. Manchester: Manchester Business School, 1–36. Available on the Internet: http://tips-nrw.iatge.de/aktuell/veroeff/2012/terst01.pdf
Search via ReFindit
Uyarra, E.; Ramlogan, R. 2012. The effects of cluster policy on innovation. Nesta Working Paper No. 12/05. Available on the Internet: https://www.nesta.org.uk/sites/default/files/the_effects_of_cluster_policy_on_innovation.pdf
Search via ReFindit
Vasiljeva, M.V. 2013a. Directions of improvement of cluster policy. Contemporary Economic Issues 4. 10.24194/41311
Search via ReFindit
Vasiljeva, M.V. 2013b. The role of innovative clusters in the process of internationalization of firms. Contemporary Economic Issues 3. 10.24194/31309
Search via ReFindit
Virtos, H. 2016. Open Source DEA Software. Available on the Internet: http://opensourcedea.org
Search via ReFindit
Zhao, Y.; Zhou, W.; Huesig, S.; Vanhaverbeke, W. 2010. Environment, Network Interactions and Innovation Performance of Industrial Clusters: Evidences from Germany, Netherlands and China, International Journal of Innovation Management 14(1): 1–18.
Search via ReFindit
Zhu, J. 2014. Quantitative Models for Performance Evaluation and Benchmarking. Cham: Springer.
Search via ReFindit
Žižka, M. 2017. Use of Malmquist Index in Evaluating Performance of Companies in Cluster. 35th International Conference Mathematical
Search via ReFindit
Žižka, M.; Hovorková Valentová, V.; Turčok, L. 2016. Performance evaluation of Czech innovative companies: data envelopment analysis approach, International Journal of Strategic Property Management 20(4), 427–438. https://doi.org/10.3846/1648715X.2016.1239592
Search via ReFindit
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