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Technological Innovation and International Competitiveness for Business Growth pp 215–259Cite as

Palgrave Macmillan

Evaluating R&D Efficiency of Selected European Countries: A Dynamic Analysis for Period 2007–2017

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Abstract

This research deals with objectively measuring the (in)efficiency of R&D expenditures and innovation policies of 30 selected European countries for the period 2007–2017. Gaps in the existing literature in the forms of wright utilization of input and output variables, missing data problems, and observing dynamic changes over time are filled. Another objective of the study includes obtaining a ranking system based on several important variables that will correlate to the international rankings which are often publicized with a great time lag and based on many measures. Novelties of this research include: inclusion of relevant variables, conduction of a dynamic analysis which is often ignored in the literature, missing data is tackled, robustness checking of the results is performed which is also lacking in the previous existing literature and detailed policy recommendations are given. The main results indicate that a robust ranking was obtained, which is in line with international rankings.

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Notes

  1. 1.

    Although, the results of the CCR-I and O models are given in the Appendix.

  2. 2.

    DEA 2017 scores were used as the latest data for this analysis was available for 2017, whilst the KEI data was not available for 2017, but 2018. Furthermore, the following countries are available within the KEI dana: Bulgaria, Croatia, Cyprus, Czech Republic, Estonia, France, Germany, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia and United Kingdom.

  3. 3.

    Please see Tables 10.6, 10.7, and 10.8 in the Appendix for the full results.

References

  • Anderson, H. J., & Stejskal, J. (2019). Diffusion efficiency of innovation among EU Member States: A data envelopment analysis. Economies, 7(34), 1–19.

    Google Scholar 

  • Anić, I.-D. (2017). Facilitating effective science-industry collaborative research: A literature review. Economic Trends and Economic Policy, 26(1), 7–40.

    Google Scholar 

  • Aristovnik, A. (2012). The relative efficiency of education and R&D expenditures in the new EU member states. Journal of Business Economics and Management, 13(5), 832–848.

    Article  Google Scholar 

  • Aristovnik, A. (2014). Efficiency of the R&D sector in the EU-27 at the regional level: An application of DEA. Lex Localis—Journal of Local Self-Government, 12(3), 519–531.

    Google Scholar 

  • Arnold, E., Knee, P., Angelis, J., Giarraca, F., Griniece, E., Javorka, Z., & Reid, A. (2014). Latvia innovation system review and research assessment exercise: Final report. Technopolis Group. http://izm.gov.lv/images/zinatne/ZISI/Latvia-systems-review_2014.pdf.

  • Arvemo, T., & Gråsjö, U. (2014). University colleges’ effect on economic growth in Swedish middlesized municipalities. In C. Karlsson (Ed.), Knowledge, innovation and space (pp. 287–304). Cheltenham: Edward Elgar.

    Google Scholar 

  • Atoyan, R., Christiansen, L., Dizioli, A., Ebeke, C., Ilahi, N., Ilyina, A., … Zakharova, D. (2016). Emigration and its economic impact on Eastern Europe (IMF Staff Discussion Note, SDN/16/07).

    Google Scholar 

  • Bednář, P., & Halásková, M. (2018). Innovation performance and R&D expenditures in Western European regions: Divergence or convergence? Journal of International Studies, 11(1), 210–224.

    Article  Google Scholar 

  • Bottazzi, L., & Peri, G. (2003). Innovation and spillovers in regions: Evidence from European patent data. European Economic Review, 47(4), 687–710.

    Article  Google Scholar 

  • Bourdeau-Lepage, L., & Kolarova, D. (2008). Knowledge society and transition economies: The Bulgarian challenge. The Journal of the Romanian Regional Science Association, 2(2), 53–79.

    Google Scholar 

  • Buesa, M., Heijs, J., & Baumert, T. (2010). The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach. Research Policy, 39(6), 722–735.

    Article  Google Scholar 

  • Camagni, R. (1991). Technological change, uncertainty and innovation networks: Towards dynamic theory of economic space. In R. Camagni (Ed.), Innovation networks: Spatial perspectives (pp. 121–144). London: Belhaven-Pinter.

    Google Scholar 

  • Cao, Y., You, J., Shi, Y., & Hu, W. (2019). Evaluating R&D and transformation functional platforms’ operational performance using a data envelopment analysis model: A comparative study. Sustainability, 11(5023), 1–14.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Coe, D. T., & Moghadam, R. (1993). Capital and trade as engines of growth in France: An application of Johansen’s cointegration methodology (IMF Staff Paper No. 40), pp. 542–666.

    Google Scholar 

  • Coelli, T. J. (1995). Recent developments in frontier modelling and efficiency measurement. Australian Journal of Agricultural and Resource Economics, 39(3), 219–245.

    Article  Google Scholar 

  • Cooper, W. W., Seiford, L. M., & Tone, K. (2006). Introduction to data envelopment analysis and its uses: With DEA-solver software and references. New York: Springer.

    Google Scholar 

  • Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Handbook on data envelopment analysis. New York: Springer.

    Book  Google Scholar 

  • Costantini, V., Crespi, F., Martini, C., & Pennacchio, L. (2015). Demand-pull and technology-push public support for eco-innovation: The case of the biofuels sector. Research Policy, 44(3), 577–595.

    Article  Google Scholar 

  • Cowan, R., & Van de Paal, G. (2000). Innovation policy in a knowledge based economy. The Commission of the European Communities no. EUR 17023, Luxembourg.

    Google Scholar 

  • Da Rin, M., Nicodano, G., & Sembenelli, A. (2006). Public policy and the creation of active venture capital markets. Journal of Public Economics, 90(8–9), 1699–1723.

    Article  Google Scholar 

  • Daraio, C. (2019). Econometric approaches to the measurement of research productivity. In W. Glänzel, H. F. Moed, U. Schmoch, & M. Thelwall (Eds.), Springer handbook of science and technology indicators. Springer Handbooks. Cham: Springer.

    Google Scholar 

  • David, P. A., Hall, B. H., & Toole, A. A. (2000). Is public R&D a complement or substitute for private R&D. Research Policy, 29(4–5), 497–529.

    Article  Google Scholar 

  • de Rassenfosse, G., Jaffe A., & Raiteri, E. (2019). The procurement of innovation by the U.S. government. PLoS One, 14(8), e0218927.

    Google Scholar 

  • Deloitte Poland. (2016). Poland corporate R&D report 2016. https://www2.deloitte.com/content/dam/Deloitte/pl/Documents/Reports/pl_RD-2016-Poland-EN%20(1).pdf.

  • EBRD. (2019). European Bank for reconstruction and development. https://www.ebrd.com/news/publications/brochures/ebrd-knowledge-economy-index.html.

  • EC. (2010). Commission of the European Communities: Regional policy contributing to smart growth in Europe, COM(2010)553, Brussels.

    Google Scholar 

  • EC. (2015). Country report Croatia 2015: Including an in-depth review on the prevention and correction of macroeconomic imbalances (European Semester), SWD (2015) 30 final. Brussels: European Commission. http://ec.europa.eu/europe2020/pdf/csr2015/cr2015_croatia_en.pdf.

  • EC. (2017). Country report Croatia 2017: Including an in-depth review on the prevention and correction of macroeconomic imbalances (European Semester), COM SWD (2017) 76 final. Brussels: European Commission. https://ec.europa.eu/info/sites/info/files/2017-european-semester-country-report-croatia-en.pdf.

  • EC. (2018). Science, research and innovation performance of the EU 2018: Strengthening the foundations for Europe’s future. https://ec.europa.eu/info/sites/info/files/srip-report-full_2018_en.pdf.

  • EC. (2019). European research area progress report 2018 country profile Iceland. https://ec.europa.eu/info/sites/info/files/research_and_innovation/era/era-2018_country_profile_is.pdf.

  • Ekinci, Y., & Ön, R. M. (2015). A review on the comparison of EU countries based on research and development efficiencies. World Academy of Science, Engineering and Technology International Journal of Industrial and Manufacturing Engineering, 9(7), 2437–2440.

    Google Scholar 

  • Elnasari, A., & Fox, K. J. (2015). R&D, innovation and productivity: The role of public support. KDI Journal of Economic Policy, 37(1), 73–96.

    Article  Google Scholar 

  • EU. (2019). European Union. In Measuring public innovation in the EU: the STARPIN methodology. Luxembourg: Publications Office of the European Union.

    Google Scholar 

  • European Innovation Scoreboard. (2019). https://ec.europa.eu/growth/industry/innovation/facts-figures/scoreboards_en.

  • Eurostat. (2019a). Europe 2020 indicators—R&D and innovation. https://ec.europa.eu/eurostat/statistics-explained/index.php/Europe_2020_indicators_-_R%26D_and_innovation#R.26D_intensity_in_the_EU_is_growing_too_slowly_to_meet_the_Europe_2020_target.

  • Eurostat. (2019b). Database. https://ec.europa.eu/eurostat/data/database.

  • Fariñas, J. C., & Martín-Marcos, A. (2007). Exporting and economic performance: Firm‐level evidence of Spanish manufacturing. The World Economy, 30(4), 618–646. https://doi.org/10.1111/j.1467-9701.2007.01007.x.

  • Faria, J. R., Ferreira, J. J., Johnson, K. H., Mixon, F. G., Jr., & Wanke, P. F. (2020, Forthcoming). Agglomeration economies and university program creation in the knowledge economy. Socio-Economic Planning Sciences. https://www.sciencedirect.com/science/article/abs/pii/S0038012119304288.

  • Fleming, L., Greene, H., Li, G., Marx, M., & Yao, D. (2019). Government-funded research increasingly fuels innovation. Science, 364(6446), 1139–1141.

    Article  Google Scholar 

  • Furková, A. (2014). Multiple selections of alternatives under constraints: Case study of European countries in area of research and development. Trendy v podnikání = Business trends: vědecký časopis Fakulty ekonomické ZČU v Plzni, 5(1), 73–88.

    Google Scholar 

  • Gaudillière, J. P. (2019). From crisis to reformulation: Innovation in the global drug industry and the alternative modernization of Indian Ayurveda. In S. Lechevalier (Ed.), Innovation beyond technology (pp. 121–139). Berlin: Springer.

    Chapter  Google Scholar 

  • Global Innovation Index. (2019). https://www.globalinnovationindex.org/analysis-indicator.

  • Grabowski, W., Pamukcu, T., Szczygielski, K., & Tandogan, S. (2013). Does government support for private innovation matter? Firm-level evidence from Turkey and Poland. CASE Network Studies and Analyses 0458, CASE-Center for Social and Economic Research.

    Google Scholar 

  • Griliches, Z. (1979). Issues in assessing the contribution of R&D to productivity growth. Bell Journal of Economics, 10(1), 92–116.

    Article  Google Scholar 

  • Griliches, Z. (1988). Productivity puzzles and R&D: Another nonexplanation. Journal of Economic Perspectives, 2(4), 9–21.

    Article  Google Scholar 

  • Grotz, M., Walentiny, M., Boever, E., & Crean, G. (2017). Research and innovation smart specialization strategy (RIS3). The Government of the grand Duchy of Luxembourg. https://meco.gouvernement.lu/dam-assets/publications/rapport-etude-analyse/minist-economie/ris3/luxembourg-research-and-innovation-smart-specialisation-strategy-2017.pdf.

  • Guan, J. C., & Chen, K. H. (2010). Modeling macro-R&D production frontier performance: An application to Chinese province-level R&D. Scientometrics, 82(1), 165–173.

    Article  Google Scholar 

  • Guan, J. C., & Chen, K. H. (2012). Modeling the relative efficiency of national innovation systems. Research Policy, 41(2), 102–115.

    Article  Google Scholar 

  • Guan, J. C., & He, Y. (2005). Comparison and evaluation of domestic and international outputs in information science & technology research of China. Scientometrics, 65(2), 215–244.

    Article  Google Scholar 

  • Guan, J. C., & Zuo, K. (2014). A cross-country comparison of innovation efficiency. Scientometrics, 100(2), 541–575.

    Article  Google Scholar 

  • Guerrero, M., Cunningham, J. A., & Urbano, D. (2015). Economic impact of entrepreneurial universities’ activities: An exploratory study of the United Kingdom. Research Policy, 44(3), 748–764.

    Article  Google Scholar 

  • Halásková, R., & Halásková, M. (2015). Current issues of research and development policy in EU countries. In Proceedings of 13th International Scientific Conference “Economic Policy in the European Union Member Countries” (pp. 161–174). Karolinka, Czech Republic. ISBN 978-80-248-3796-3.

    Google Scholar 

  • Hall, B. H., Moncada-Paternò-Castello, P., Montresor, S., & Vezzani, A. (2015). Financing constraints, R&D investments and innovative performances: New empirical evidence at the firm level for Europe. Economics of Innovation and New Technology, 25(3), 183–196.

    Article  Google Scholar 

  • Hiroi, Y. (2019). Science as care: Science and innovation in post-growth society. In S. Lechevalier (Ed.), Innovation beyond technology (pp. 301–324). Berlin: Springer.

    Chapter  Google Scholar 

  • Hu, A. G. Z., & Yongxu, D. (2019). Does government R&D stimulate or crowd out firm R&D spending? Evidence from Chinese manufacturing industries. Economics of Transition, 27(2), 497–518.

    Article  Google Scholar 

  • Hu, S., Liu, S., Li, D., & Li, Y. (2019). How does regional innovation capacity affect the green growth performance? Empirical evidence from China. Sustainability, 11(5084), 1–21.

    Google Scholar 

  • Hudec, O., & Prochádzková, M. (2013). The relative efficiency of knowledge innovation processes in EU countries. Studies in Regional Science, 43(1), 145–162.

    Article  Google Scholar 

  • ICF. (2018). Study on the movement of skilled labour. Luxembourg: Publications Office of the European Union.

    Google Scholar 

  • Johansson, B., Lööf, H., & Savin, M. (2015). European R&D efficiency. Economics of Innovation and New Technology, 24(1–2), 140–158.

    Article  Google Scholar 

  • Joly, P. B. (2019). Reimagining innovation. In S. Lechevalier (Ed.), Innovation beyond technology (pp. 25–45). Berlin: Springer.

    Chapter  Google Scholar 

  • Kalapoutia, K., Petridisb, K., Malesiosc, C., & Deyd, P. K. (2017). Measuring efficiency of innovation using combined data envelopment analysis and structural equation modeling: Empirical study in EU regions. Annals of Operations Research. https://doi.org/10.1007/s10479-017-2728-4.

  • Karadayi, M. A., & Ekinci, Y. (2018). Evaluating R&D performance of EU countries using categorical DEA. Technology Analysis & Strategic Management, 31(2), 227–238.

    Article  Google Scholar 

  • Kerr, B. A., Birdnow, M., Hallaert, J., Alexander, K., Malmsten, R., Stull, O., … Claiborn, G. J. (2017). Creativity and innovation in Iceland: Individual, environmental, and cultural variables. Gifted and Talented International, 32(1), 27–42.

    Google Scholar 

  • Klincewicz, K., Marczewska, M., & Szkuta, K. (2018). RIO country report 2017: Poland, EUR 29150 EN. Luxembourg: Publications Office of the European Union. ISBN 978-92-79-81197-5, JRC111282.

    Google Scholar 

  • Klincewicz, K., Szkuta, K., & Marczewska, M. (2017). RIO country report 2016: Poland; EUR 28481 EN. Luxembourg: Publications Office of the European Union.

    Google Scholar 

  • Knudsen, M. P., Christensen, J. L., & Christensen, P. (2018). RIO country report 2017: Denmark; EUR 29187 EN. Luxembourg: Publications Office of the European Union. ISBN 978-92-79-81276-7.

    Google Scholar 

  • Kuosmanen, T. (2009). Data envelopment analysis with missing data. Journal of the Operational Research Society, 60(12), 1767–1774.

    Article  Google Scholar 

  • Lechevalier, S., & Laugier, S. (2019). Innovation beyond technology—Introduction. In S. Lechevalier (Ed.), Innovation Beyond Technology, Creative Economy. Cham: Springer.

    Google Scholar 

  • Leydesdorff, L., & Porto-Gomez, I. (2019). Measuring the expected synergy in Spanish regional and national systems of innovation. The Journal of Technology Transfer, 44, 189–209. https://link.springer.com/article/10.1007/s10479-017-2728-4#citeas.

  • Lee, H., Park, Y., & Choi, H. (2009). Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach. European Journal of Operational Research, 196(3), 847–855.

    Article  Google Scholar 

  • Lee, H.-Y., & Park, Y.-T. (2005). An international comparison of R&D efficiency: DEA approach. Asian Journal of Technology Innovation, 13(2), 207–222.

    Article  Google Scholar 

  • Lew, Y. K., Khan, Z., & Cozzio, S. (2018). Gravitating toward the quadruple helix: International connections for the enhancement of a regional innovation system in Northeast Italy. R&D Management, 48(1), 44–59.

    Article  Google Scholar 

  • Liu, J., Lu, K., & Cheng, S. (2018). International R&D spillovers and innovation efficiency. Sustainability, 10(3974), 1–23.

    Google Scholar 

  • Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3–42.

    Article  Google Scholar 

  • Mariz-Pérez, R. M., Teijeiro-Álvarez, M. M., & García-Álvarez, M. T. (2012). The importance of human capital in innovation: A system of indicators, soft computing in management and business economics. Studies in Fuzziness and Soft Computing, 278, 31–44.

    Article  Google Scholar 

  • Moncada-Paternò-Castello, P., Vezzani, A., Hervás, F., & Montresor, S. (2014). Financing R&D and innovation for corporate growth: What new evidence should policymakers know? (European Commission Policy Brief).

    Google Scholar 

  • Muizniece, L., & Cepilovs, A. (2017). Supporting university technology transfer—Struggles and barriers in Latvia. Economic Thought and Practice Dubrovnik, 26(1), 321–342.

    Google Scholar 

  • O’sullivan, M. (2005). Finance and innovation. In J. Fagerberg, D. Mowery, & R. Nelson (Eds.), The Oxford handbook of innovation. Oxford: Oxford University Press.

    Google Scholar 

  • OECD. (2019a). Database. https://data.oecd.org/.

  • OECD. (2019b). OECD economic surveys—Latvia. https://www.oecd.org/economy/surveys/Latvia-2019-OECD-economic-survey-overview.pdf.

  • Official Journal of the European Union. (2006). Decision No. 1639/2006/EC of the European Parliament and of the Council of 24 October 2006 establishing a competitiveness and innovation framework programme (2007 to 2013) (OJ L 310/15, 9.11.2006). http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32006D1639&from=EN.

  • Pegkas, P., Staikouras, C., & Tsamadias, C. (2019). Does research and development expenditure impact innovation? Evidence from the European Union countries. Journal of Policy Modeling, 41(5), 1005–1025.

    Article  Google Scholar 

  • Pestre, D. (2019). Environment and social innovation: Why technology never was the solution. In S. Lechevalier (Ed.), Innovation beyond technology (pp. 175–194). Berlin: Springer.

    Chapter  Google Scholar 

  • PIFIA. (2011). Polish information and foreign investment agency. R&D Sector in Poland.

    Google Scholar 

  • Popp, D. (2019). Environmental policy and innovation: A decade of research (NBER Working Paper Series, No. 25631). National Bureau of Economic Research.

    Google Scholar 

  • Prokop, V., Stejskal, J., & Mikušová Meričková, B. (2017). Determinants of the number of patents in the Czech Republic. Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration. 41/2017.

    Google Scholar 

  • Račić, D., Švarc, J., & Testa, G. (2018). RIO country report 2017: Croatia, EUR 29155 EN. Luxembourg: Publications Office of the European Union. ISBN 978-92-79-81200-2, JRC111260.

    Google Scholar 

  • Rodríguez-Pose, A. (2001). Is R&D investment in lagging areas of Europe worthwhile? Theory and empirical evidence. Papers in Regional Science, 80(3), 275–295.

    Article  Google Scholar 

  • Roman, M. (2010). Regional efficiency of the knowledge economy in the new EU countries: The Romanian and Bulgarian case. Romanian Journal of Regional Science, 4(1), 33–53.

    Google Scholar 

  • Romer, P. M. (1986). Increasing returns and long-run growth. The Journal of Political Economy, 94(5), 1002–1037.

    Article  Google Scholar 

  • Rumpf, G., Alexander, S., & del Rio, J.-C. (2017). RIO country report 2016: Luxembourg; EUR 28506 EN.

    Google Scholar 

  • Ruphy, S. (2019). Public participation in the setting of research and innovation agenda: Virtues and challenges from a philosophical perspective. In S. Lechevalier (Ed.), Innovation beyond technology (pp. 243–261). Berlin: Springer.

    Chapter  Google Scholar 

  • Sharma, S., & Thomas, V. J. (2008). Inter-country R&D efficiency analysis: An application of data envelopment analysis. Scientometrics, 76(3), 483–501.

    Article  Google Scholar 

  • Simar, L., & Wilson, P. W. (2007). Estimation and inference in two-stage semi-parametric models of production processes. Journal of Econometrics, 136(1), 31–64.

    Article  Google Scholar 

  • Škrinjarić, T. (2020a). Re-examining sustainable development in Europe: A data envelopment approach. International Journal of Environment and Sustainable Development, 19(1), 72–108.

    Article  Google Scholar 

  • Škrinjarić, T. (2020b). R&D in Europe: Sector decomposition of sources of (in)efficiency. Sustainability, 12(1432), 1–20.

    Google Scholar 

  • Stucki, T., Woerter, M., Arvanitis, S., Peneder, M., & Rammer, C. (2018). How different policy instruments affect green product innovation: A differentiated perspective. Energy Policy, 114, 245–261.

    Article  Google Scholar 

  • Swedish Ministry of Enterprise, Energy and Communications. (2015). The Swedish innovation strategy. https://www.government.se/contentassets/cbc9485d5a344672963225858118273b/the-swedish-innovation-strategy.

  • Swedish Research Barometer. (2017). The Swedish research system in international comparison. https://www.vr.se/download/18.5639980c162791bbfe69788d/1555334890011/Swedish-Research-Barometer_VR_2017.pdf.

  • Szarowska, I., & Žurkova, D. (2017). Public expenditure on research and development and its relationship with economic growth in the Czechia, Denmark and Slovakia. Scientific Papers of the University of Pardubice—Series D, 24(39), 211–222.

    Google Scholar 

  • Todaro, M. P., & Smith, S. C. (2003). Economic development (8th ed.). Harlow, England: Pearson Education.

    Google Scholar 

  • Trachuk, A., & Linder, N. (2019). Knowledge spillover effects: Impact of export learning effects on companies’ innovative activities. In M. Wickham (Ed.), Current issues in knowledge management (pp. 1–16). London, UK: IntechOpen.

    Google Scholar 

  • UN. (2019). A framework for science, technology and innovation policy reviews harnessing innovation for sustainable development. United Nations: Geneva.

    Google Scholar 

  • Vinding, A. L. (2006). Absorptive capacity and innovative performance: A human capital approach. Economics of Innovation and New Technology, 15(4–5), Empirical Studies of Innovation in the Knowledge Driven Economy.

    Google Scholar 

  • Weresa, M. A. (2018). Innovation Union initiative—An overview. In M. A. Weresa (Ed.), Strengthening the knowledge base for innovation in the European Union. Warsaw, Poland: Polish Scientific Publishers PWN.

    Google Scholar 

  • Zabala-Iturriagagoitia, J. M., Voigt, P., Gutiérrez-Gracia, A., & Jiménez-Sáez, F. (2007). Regional innovation systems: How to assess performance. Regional Studies, 41(5), 661–672.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Mathematics, University of Zagreb, Zagreb, Croatia

    Tihana Škrinjarić

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  1. Tihana Škrinjarić
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  1. Department of Management and Economics & NECE Research Unit in Business Sciences, University of Beira Interior, Covilhã, Portugal

    João J. M. Ferreira

  2. Higher Institute of Administration and Languages, Research Centre—ISAL, Funchal, Portugal

    Sérgio J. Teixeira

  3. NECE—Research Unit in Business Sciences, Funchal, Portugal

    Hussain G. Rammal

Appendix

Appendix

See Fig. 10.6, Tables 10.6, 10.7, and 10.8.

Fig. 10.6
figure 6

(Source Author’s calculation)

Clustering of efficiency scores from Table 10.1, Ward distance

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Table 10.6 Efficiency scores, window analysis, CCR-I model
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Table 10.7 Efficiency scores, window analysis, CCR-O model
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Table 10.8 Efficiency scores, window analysis, BCC-O model
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Škrinjarić, T. (2021). Evaluating R&D Efficiency of Selected European Countries: A Dynamic Analysis for Period 2007–2017. In: Ferreira, J.J.M., Teixeira, S.J., Rammal, H.G. (eds) Technological Innovation and International Competitiveness for Business Growth. Palgrave Studies in Democracy, Innovation, and Entrepreneurship for Growth. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-51995-7_10

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