CLUSTER ANALYSIS OF RESEARCH AND DEVELOPMENT CAPACITY IN EUROPE
Ključne reči:
English
Sažetak
Uloga inovacija u ekonomskom razvoju ne može se zanemariti, posebno u kontekstu tržišnih ekonomija u nastajanju i novoindustrijalizovanih zemalja, gdje inovacije služe kao katalizator nacionalnog rasta i međunarodne konkurentnosti. Ljudski kapital igra nezamenjivu ulogu u razvoju ekonomija znanja, i njegov značaj postaje sve izraženiji u Evropskoj uniji kako region nastoji da održi svoju konkurentnost u kontekstu zelene i digitalne tranzicije. Klaster analiza nudi metodološki robustan pristup grupisanju zemalja na osnovu sličnosti u njihovim profilima istraživanja i razvoja. Identifikovanjem klastera sa uporedivim karakteristikama istraživanja i razvoja, moguće je steći nijansirani uvid u prednosti i slabosti nacionalnih inovacionih sistema. Razumevanje distribucije kapaciteta za istraživanje i razvoj širom Evrope može olakšati međunarodnu saradnju i promovisati razmenu znanja među zemljama sa sličnim snagama i izazovima. Ovaj istraživački rad ima za cilj da istraži grupisanje evropskih zemalja na osnovu njihovog kapaciteta za istraživanje i razvoj, pružajući sveobuhvatnu analizu ključnih metrika i njihovih implikacija na nacionalne strategije inovacija. Urađena je analiza u pogledu najvažnijih aspekata razlikovanja između četiri identifikovana klastera u koje je grupisano ukupno 35 evropskih zemalja.
Reference
1. Abdelaty, H., & Weiss, D. (2023). R&D capacity and the innovation collaboration paradox: the moderating role of the appropriation strategy. Innovation, 25(2), 111-128. https://doi.org/10.1080/14479338.2021.1971992
2. Acemoglu, D., & Autor, D. (2012). What Does Human Capital Do? A Review of Goldin and Katz's The Race between Education and Technology. Journal of Economic Literature, 50 (2): 426–63. https://doi.org/10.1257/jel.50.2.426
3. Arroyabe, M. F., Arranz, C. F., De Arroyabe, I. F., & De Arroyabe, J. C. F. (2024). Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment. Technology in Society, 79, 102733. https://doi.org/10.1016/j.techsoc.2024.102733
4. Balsalobre-Lorente, D., Zeraibi, A., Shehzad, K., & Cantos-Cantos, J. M. (2021). Taxes, R&D expenditures, and open innovation: Analyzing OECD countries. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 36. https://doi.org/10.3390/joitmc7010036
5. Chesbrough, H., & Bogers, M. (2014). Explicating open innovation: Clarifying an emerging paradigm for understanding innovation. New Frontiers in Open Innovation. Oxford: Oxford University Press, Forthcoming, 3-28. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2427233
6. Cipolla, C. M. (1969). Literacy and Development in the West. Penguin Books.
7. Del Bo, C. F. (2016). The rate of return to investment in R&D: The case of research infrastructures. Technological Forecasting and Social Change, 112, 26-37. https://doi.org/10.1016/j.techfore.2016.02.018
8. Diebolt, C., & Hippe, R. (2019). The long-run impact of human capital on innovation and economic development in the regions of Europe, Applied Economics, 51:5, 542-563, DOI: 10.1080/00036846.2018.1495820
9. Eurofound. (2024). Role of human capital inequalities in social cohesion and convergence. Publications Office of the European Union, Luxembourg. https://www.eurofound.europa.eu/sites/default/files/2024-09/ef23033en.pdf
10. Eurostat. (n.d.). Graduates in education (EDUC_UOE_GRAD04). https://doi.org/10.2908/EDUC_UOE_GRAD04
11. Eurostat. (n.d.). Gross domestic product at market prices (NAMA_10_PC). https://doi.org/10.2908/NAMA_10_PC
12. Eurostat. (n.d.). Participation rates in education (EDUC_UOE_ENRA31). https://doi.org/10.2908/EDUC_UOE_ENRA31
13. Eurostat. (n.d.). Personnel in R&D by sectors of performance and occupation (RD_P_PERSLF). https://doi.org/10.2908/RD_P_PERSLF
14. Eurostat. (n.d.). Regional gross domestic expenditure on R&D (GERD) by sectors of performance and NUTS 2 regions (RD_E_GERDREG). https://doi.org/10.2908/RD_E_GERDREG
15. Guan, J., & Chen, K. (2012). Modeling the relative efficiency of national innovation systems. Research policy, 41(1), 102-115. https://doi.org/10.1016/j.respol.2011.07.001
16. Lin, Y., & Ye, J. (2024). The impact of corporate R&D on the transformation of intellectual property into intangible assets. Finance Research Letters, 70, 106337. https://doi.org/10.1016/j.frl.2024.106337
17. Listiyoko, L., & Purno, M. (2020, March). Sample Identification Approach by K-Means Clustering In Thinner Retail Market Segmentation. In Journal of Physics: Conference Series (Vol. 1477, No. 2, p. 022004). IOP Publishing. doi:10.1088/1742-6596/1477/2/022004
18. Lucas Jr, R. E. (1988). On the mechanics of economic development. Journal of monetary economics, 22(1), 3-42. https://doi.org/10.1016/0304-3932(88)90168-7
19. Ma, C., & Ji, X. (2024). R&D globalization and enterprise innovation capability. Finance Research Letters, 65, 105613. https://doi.org/10.1016/j.frl.2024.105613
20. Matić, M., Leković, B., & Bobera, D. (2023). The influence of barriers on entrepreneurial intentions: Student entrepreneurship in Western Balkan countries. Anali Ekonomskog Fakulteta u Subotici, 59(50), 51-66. https://doi.org/10.5937/AnEkSub2300016M
21. OECD. (2007). OECD Annual Report 2007. OECD Publishing, Paris. https://doi.org/10.1787/annrep-2007-en
22. OECD. (2015). Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement of Scientific, Technological and Innovation Activities. OECD Publishing, Paris. https://doi.org/10.1787/9789264239012-en
23. Our World in Data. (n.d.). Research and development. https://ourworldindata.org/research-and-development
24. Petrov, V., Ćelić, Đ., Uzelac, Z. & Drašković, Z. (2020). Three pillars of knowledge management in SMEs: evidence from Serbia. International Entrepreneurship and Management Journal, 2, 417-438; doi: https://doi.org/10.1007/s11365-018-00557-2
25. Petrov, V., Drašković, Z., Ćelić, Đ. & Uzelac, Z. (2022). Commercializing university knowledge in Serbia – an empirical evidence. Proceedings of the 4th Virtual International Conference Path to a Knowledge Society-Managing Risks and Innovation PaKSoM 2022 – pp: 273-281; ISBN 978-86-82602-00-2
26. Petrov Viktorija (2022) Mogućnosti prevazilaženja jaza između naučno – istraživačkog rada i komercijalizacije, u Mosurović Ružičić, M, Lazarević – Moravčević, M. Nauka i inovacije kao pokretači privrednog razvoja, Institut ekonomskih nauka, Beograd pp: 1-21 ISBN: 978-86-89465-71-6
27. Stamenković, M., Milanović, M., & Janković-Milić, V. (2021). Multivariate Statistical Analysis of Regional Economic Disparities at District Level in Serbia. TEME, 681-698. https://doi.org/10.5937/industrija45-14483
28. UNESCO. (n.d.). UIS Statistics. https://data.uis.unesco.org/
29. World Intellectual Property Organization (WIPO). (2024, November). IP statistics. https://www.wipo.int/en/web/ip-statistics
30. Yin, X., Qi, L., Ji, J., & Zhou, J. (2023). How does innovation spirit affect R&D investment and innovation performance? The moderating role of business environment. Journal of Innovation & Knowledge, 8(3), 100398. https://doi.org/10.1016/j.jik.2023.100398
31. Zhang, X., & He, Y. (2013). R&D-based earnings management, accounting performance and market return: Evidence from national-recognized enterprise technology centers in China. Chinese Management Studies, 7(4), 572-585.
32. Zhang, Z., Luo, X., Du, J., & Xu, B. (2024). Substantive or strategic: Government R&D subsidies and green innovation. Finance Research Letters, 67, 105796. https://doi.org/10.1016/j.frl.2024.105796
33. Zhou, Y., & Dahal, S. (2024). Has R&D contributed to productivity growth in China? The role of basic, applied and experimental R&D. China Economic Review, 88, 102281. https://doi.org/10.1016/j.chieco.2024.102281
2. Acemoglu, D., & Autor, D. (2012). What Does Human Capital Do? A Review of Goldin and Katz's The Race between Education and Technology. Journal of Economic Literature, 50 (2): 426–63. https://doi.org/10.1257/jel.50.2.426
3. Arroyabe, M. F., Arranz, C. F., De Arroyabe, I. F., & De Arroyabe, J. C. F. (2024). Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment. Technology in Society, 79, 102733. https://doi.org/10.1016/j.techsoc.2024.102733
4. Balsalobre-Lorente, D., Zeraibi, A., Shehzad, K., & Cantos-Cantos, J. M. (2021). Taxes, R&D expenditures, and open innovation: Analyzing OECD countries. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 36. https://doi.org/10.3390/joitmc7010036
5. Chesbrough, H., & Bogers, M. (2014). Explicating open innovation: Clarifying an emerging paradigm for understanding innovation. New Frontiers in Open Innovation. Oxford: Oxford University Press, Forthcoming, 3-28. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2427233
6. Cipolla, C. M. (1969). Literacy and Development in the West. Penguin Books.
7. Del Bo, C. F. (2016). The rate of return to investment in R&D: The case of research infrastructures. Technological Forecasting and Social Change, 112, 26-37. https://doi.org/10.1016/j.techfore.2016.02.018
8. Diebolt, C., & Hippe, R. (2019). The long-run impact of human capital on innovation and economic development in the regions of Europe, Applied Economics, 51:5, 542-563, DOI: 10.1080/00036846.2018.1495820
9. Eurofound. (2024). Role of human capital inequalities in social cohesion and convergence. Publications Office of the European Union, Luxembourg. https://www.eurofound.europa.eu/sites/default/files/2024-09/ef23033en.pdf
10. Eurostat. (n.d.). Graduates in education (EDUC_UOE_GRAD04). https://doi.org/10.2908/EDUC_UOE_GRAD04
11. Eurostat. (n.d.). Gross domestic product at market prices (NAMA_10_PC). https://doi.org/10.2908/NAMA_10_PC
12. Eurostat. (n.d.). Participation rates in education (EDUC_UOE_ENRA31). https://doi.org/10.2908/EDUC_UOE_ENRA31
13. Eurostat. (n.d.). Personnel in R&D by sectors of performance and occupation (RD_P_PERSLF). https://doi.org/10.2908/RD_P_PERSLF
14. Eurostat. (n.d.). Regional gross domestic expenditure on R&D (GERD) by sectors of performance and NUTS 2 regions (RD_E_GERDREG). https://doi.org/10.2908/RD_E_GERDREG
15. Guan, J., & Chen, K. (2012). Modeling the relative efficiency of national innovation systems. Research policy, 41(1), 102-115. https://doi.org/10.1016/j.respol.2011.07.001
16. Lin, Y., & Ye, J. (2024). The impact of corporate R&D on the transformation of intellectual property into intangible assets. Finance Research Letters, 70, 106337. https://doi.org/10.1016/j.frl.2024.106337
17. Listiyoko, L., & Purno, M. (2020, March). Sample Identification Approach by K-Means Clustering In Thinner Retail Market Segmentation. In Journal of Physics: Conference Series (Vol. 1477, No. 2, p. 022004). IOP Publishing. doi:10.1088/1742-6596/1477/2/022004
18. Lucas Jr, R. E. (1988). On the mechanics of economic development. Journal of monetary economics, 22(1), 3-42. https://doi.org/10.1016/0304-3932(88)90168-7
19. Ma, C., & Ji, X. (2024). R&D globalization and enterprise innovation capability. Finance Research Letters, 65, 105613. https://doi.org/10.1016/j.frl.2024.105613
20. Matić, M., Leković, B., & Bobera, D. (2023). The influence of barriers on entrepreneurial intentions: Student entrepreneurship in Western Balkan countries. Anali Ekonomskog Fakulteta u Subotici, 59(50), 51-66. https://doi.org/10.5937/AnEkSub2300016M
21. OECD. (2007). OECD Annual Report 2007. OECD Publishing, Paris. https://doi.org/10.1787/annrep-2007-en
22. OECD. (2015). Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement of Scientific, Technological and Innovation Activities. OECD Publishing, Paris. https://doi.org/10.1787/9789264239012-en
23. Our World in Data. (n.d.). Research and development. https://ourworldindata.org/research-and-development
24. Petrov, V., Ćelić, Đ., Uzelac, Z. & Drašković, Z. (2020). Three pillars of knowledge management in SMEs: evidence from Serbia. International Entrepreneurship and Management Journal, 2, 417-438; doi: https://doi.org/10.1007/s11365-018-00557-2
25. Petrov, V., Drašković, Z., Ćelić, Đ. & Uzelac, Z. (2022). Commercializing university knowledge in Serbia – an empirical evidence. Proceedings of the 4th Virtual International Conference Path to a Knowledge Society-Managing Risks and Innovation PaKSoM 2022 – pp: 273-281; ISBN 978-86-82602-00-2
26. Petrov Viktorija (2022) Mogućnosti prevazilaženja jaza između naučno – istraživačkog rada i komercijalizacije, u Mosurović Ružičić, M, Lazarević – Moravčević, M. Nauka i inovacije kao pokretači privrednog razvoja, Institut ekonomskih nauka, Beograd pp: 1-21 ISBN: 978-86-89465-71-6
27. Stamenković, M., Milanović, M., & Janković-Milić, V. (2021). Multivariate Statistical Analysis of Regional Economic Disparities at District Level in Serbia. TEME, 681-698. https://doi.org/10.5937/industrija45-14483
28. UNESCO. (n.d.). UIS Statistics. https://data.uis.unesco.org/
29. World Intellectual Property Organization (WIPO). (2024, November). IP statistics. https://www.wipo.int/en/web/ip-statistics
30. Yin, X., Qi, L., Ji, J., & Zhou, J. (2023). How does innovation spirit affect R&D investment and innovation performance? The moderating role of business environment. Journal of Innovation & Knowledge, 8(3), 100398. https://doi.org/10.1016/j.jik.2023.100398
31. Zhang, X., & He, Y. (2013). R&D-based earnings management, accounting performance and market return: Evidence from national-recognized enterprise technology centers in China. Chinese Management Studies, 7(4), 572-585.
32. Zhang, Z., Luo, X., Du, J., & Xu, B. (2024). Substantive or strategic: Government R&D subsidies and green innovation. Finance Research Letters, 67, 105796. https://doi.org/10.1016/j.frl.2024.105796
33. Zhou, Y., & Dahal, S. (2024). Has R&D contributed to productivity growth in China? The role of basic, applied and experimental R&D. China Economic Review, 88, 102281. https://doi.org/10.1016/j.chieco.2024.102281
Objavljeno
2025/04/24
Rubrika
Originalni naučni članak
