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2019 | 12 | nr 4 | 286--299
Tytuł artykułu

Efficiency MeasurementoOf National Innovation Systems of the European Union Countries: DEA Model Application

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper focuses on measuring technical efficiency of National Innovation System across a sample of the European Union (EU) countries using data envelopment analysis. We used an output-oriented constant returns to scale model to calculate the efficiency of the units represented by the European Union countries. This nonparametric method measures efficiency of input utilisation as compared to the achieved outputs during the consumption process. Following previous studies on this topic, we have used the number of researchers and the expenditures on research and development (R&D) as inputs and published scientific journal articles and applied patents as outputs of the model. Stemming from the available data, we have covered the period of 2005-2016. This period covers the economic period before the financial crisis and economic recession in which it was necessary to use resources effectively for the maximisation of final production. The study also presents data representing the era of growth trend in European economy. The only efficient countries in our study as of 2016 were found to be Cyprus, Luxembourg, Malta, and Romania. The number of efficient units decreased from six countries measured in 2005 from among the eight calculated in the years of the economic crisis to four efficient decision-making units (DMUs) in 2015. Germany, the best performer in the European Union with respect to patent rankings, was classified as an inefficient unit with a 0.50 efficiency scale. The results indicate differences between the innovation performance investigated by various indices available in public databases and the DEA technical efficiency. The best performers can be considered as inefficient in the utilisation of resources entering the National Innovation System (NIS) for which technical efficiency is examined in the present study. (original abstract)
Rocznik
Tom
12
Numer
Strony
286--299
Opis fizyczny
Twórcy
  • Tomas Bata University in Zlín, Czech Republic
autor
  • Tomas Bata University in Zlín, Czech Republic
  • Tomas Bata University in Zlín, Czech Republic
Bibliografia
  • Bouwman, H., Nikou, S., & de Reuver, M. (2019). Digitalization, business models, and SMEs: How do business model innovation practices improve performance of digitalizing SMEs? Telecommunications Policy. Advance online publication.doi:10.1016/j.telpol.2019.101828.
  • Cai, Y. (2011). Factors affecting the efficiency of the BRICSs' national innovation systems: A comparative study based on DEA and panel data analysis (Economics Discussion Paper No. 2011-52). Kiel, Germany: Kiel Institute for the World Economy.
  • Carayannis, E. G., Grigoroudis, E., &Goletsis, Y. (2016). A multilevel and multistage efficiency evaluation of innovation systems: A multiobjective DEA approach. Expert Systems with Applications, 62, 63-80. doi:10.1016/j.eswa.2016.06.017
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444.
  • Chen, C. P., Hu, J. L. &Yang C. H. (2011).An international comparison of R&D efficiency of multiple innovative outputs: The role of the national innovation system. Innovation, 13 (3), 341-360.
  • Coelli, T. (1996). A guide to DEAP version 2.1: A data envelopment analysis (computer) program (CEPA Working Paper 96/08). Brisbane, Australia: Centre for Efficiency and Productivity Analysis, University of New England.
  • Dahlman, C.J. (1994). Technology strategy in East Asian developing countries. Journal of Asian Economics, 5, 541-572.
  • D.E.A.O.S. DEA Online Software. Retrieved from https://www.deaos.com/login.aspx?ReturnUrl=/projects.aspx
  • Dosi, G., Freeman C., Nelson R., Silverberg G., & Soete, L. (1988). Technological change and economic theory. London: Pinter Publishers.
  • European Commission. (2018a). Strategy on research and innovation. Retrieved from https://ec.europa.eu/info/research-and-innovation/strategy_en
  • European Commission. (2018b). European innovation scoreboard 2017. Retrieved from https://ec.europa.eu/growth/industry/innovation/facts-figures/scoreboards_en
  • Eurostat. (2018a). Intramural R&D expenditure (GERD) by sectors of performance. Retrieved from http://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do
  • Eurostat. (2018b). Patent applications to the EPO by priority year. Retrieved from http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=pat_ep_ntot&lang=en
  • Eurostat. (2018c). Total researchers by sectors of performance - full time equivalent. Retrieved from http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&plugin=1&language=en&pcode=tsc00004
  • Freeman, C. (1987). Technology and economic performance: Lessons from Japan. London, England: Pinter Publishers.
  • Gokhberg, L., &Roud, V. (2016). Structural changes in the national innovation system: Longitudinal study of innovation modes in the Russian industry. Economic Change and Restructuring, 49, 269-288.
  • Gružauskas, V., &Grmanová, E. (2018). Efficiency of banks and human resources. Journal of International Studies, 11(2), 193-201. doi:10.14254/2071-8330.2018/11-2/13
  • Guan, J., & Chen, K. (2012). Modeling the relative efficiency of national innovation systems. Research Policy, 41, 102-115.
  • Hong, J., Feng, B., Wu, Y., & Wang, L. (2016). Do government grants promote innovation efficiency in China's high-tech industries? Technovation, 57, 4-13.
  • Ivanová, E., & Čepel, M. (2018). The Impact of Innovation Performance on the Competitiveness of the Visegrad 4 Conutries. Journal of Competitiveness, Vol. 10, Issue 1, pp. 54-72. doi: 10.7441/joc.2018.01.04
  • Ivanová, E., & Masárová, J. (2016). Assessment of innovation performance of Slovak regions. Journal of International Studies, 9(2), 207-218. doi:10.14254/2071-8330.2016/9-2/16
  • Kocisova, K., Gavurova, B., & Kotaskova, A. (2018). A slack-based measure of agricultural efficiency in the European Union countries. Journal of International Studies, 11(1), 189-200. doi:10.14254/2071-8330.2018/11-1/14
  • Kontolaimou, A., Giotopoulos, I., &Tsakanikas, A. (2016). A typology of European countries based on innovation efficiency and technology gaps: The role of early-stage entrepreneurship. Economic Modelling, 52, 477-484.
  • Kotsemir, M. (2013). Measuring national innovation systems efficiency - A review of DEA approach (Higher School of Economics Research Paper No. WP BRP 16/STI/2013). Moscow, Russia: National Research University Higher School of Economics.
  • Kou, M., Chen, K., Wang, S., & Shao, Y. (2016). Measuring efficiencies of multi-period and multi-division systems associated with DEA: An application to OECD countries' national innovation systems. Expert Systems with Applications, 46, 494-510.
  • Lee, H. Y., &Park, Y. T. (2005). An international comparison of R&D efficiency: DEA approach. Asian Journal of Technology Innovation, 13, 207-22.
  • Lööf, H., &Heshmati, A. (2006). Relationship between innovation and economic performance. Economics of Innovation and Technological Change, 15, 317-344.
  • Lu, W.-M., Kweh, Q. L., &Huang, C.-L. (2014). Intellectual capital and national innovation systems performance. Knowledge-Based Systems, 71, 201-210.
  • Lundvall, B.-Å., Vang, J., Joseph, K. J., &Chaminade, C. (2009). Innovation system research and developing countries. In B.-Å. Lundvall, K. J. Joseph, C. Chaminade, & J. Vang (Eds.), Handbook of innovation systems and developing countries: Building domestic capabilities in a global setting (pp. 1-32).Northampton, MA: Edward Elgar.
  • Mamedov, O., Movchan, I., Ishchenko-Padukova, O., &Grabowska, M. (2016). Traditional economy: Innovations, efficiency and globalization. Economics and Sociology, 9(2), 61-72. doi:10.14254/2071-789X.2016/9-2/4
  • Matei, M. M., &Aldea, A. (2012). Ranking national innovation systems according to their technical efficiency. Procedia - Social and Behavioral Sciences, 62, 968-974.
  • Nasierowski, W., &Arcelus, F. J. (2003). On the efficiency of national innovation systems. Socio-Economic Planning Sciences, 37, 215-234.
  • Nasierowski, W., &Arcelus, F. J. (2012). About efficiency of innovations: What can be learned from the Innovation Union Scoreboard Index. Procedia - Social and Behavioral Sciences, 58, 792-801.
  • Novytskyi, V. (2008). Innovation aspects of integration move towards the EU. Journal of International Studies, 1(1), 9-14. doi:10.14254/2071-8330.2008/1-1/1
  • Pan, T. W., Hung, S. W., & Lu, W. M. (2010). DEA performance measurement of the national innovation system in Asia and Europe. Asia-Pacific Journal of Operational Research, 27(3), 369-392.
  • Rajnoha, R., & Lorincová, S. (2015). Strategic Management of Business Performance Based on Innovations and Information Support in Specific Conditions of Slovakia. Journal of Competitiveness Vol. 7, Issue 1, pp. 3-21. doi: 10.7441/joc.2015.01.01
  • Rousseau, S., & Rousseau, R. (1997). Data envelopment analysis as a tool for constructing scientometric indicators. Scientometrics, 40, 45-56.
  • Sharma, S., & Thomas, V. J. (2008). Inter-country R&D efficiency analysis: An application of data envelopment analysis. Scientometrics, 76, 483-501.
  • Tahrali, I., Alpkan, L., &Aren, S. (2015). Effects of generic strategies and environmental conditions on innovation efforts. Journal of Academic Studies, 63(1), 1-30.
  • Vincová, K. (2005). Using DEA models to measure efficiency. Biatec, 13, 24-28.
  • Wang, E. C., & Huang, W. (2007). Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach. Research Policy, 36, 260-273.
  • World Bank. (2018). Scientific and technical journal articles. Retrieved from https://data.worldbank.org/indicator/IP.JRN.ARTC.SC?end=2016&start=2011&view=chart
  • Zhu, X., Xiao, Z., Dong, M. C., &Gu, J. (2019). The fit between firms' open innovation and business model for new product development speed: A contingent perspective. Technovation. Advance online publication.doi:10.1016/j.technovation.2019.05.005.
Typ dokumentu
Bibliografia
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