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Comparing the efficiency of countries to assimilate and apply research investment

Author

Listed:
  • Barbara S. Lancho-Barrantes

    (University of Leeds)

  • Hector G. Ceballos-Cancino

    (Tecnologico de Monterrey)

  • Francisco J. Cantu-Ortiz

    (Tecnologico de Monterrey)

Abstract

One of the main purposes of the countries’ economic expenditure in research is to achieve higher levels of scientific results which could impact in better living standards for society. Besides, research efficiency could be considered as a way of getting the largest number of scientific results with the minimum amount of financial investment. To assess the repercussion of research investment in scientific production and measure scientific efficiency we selected a sample of 19 countries representing each region of the world. We used 17 years of social and economic indicators from the UNESCO database, and scientific data from Scopus and SciVal. We introduce two new notions of economic efficiency for national research systems: one based on the capability for assimilating R&D investment, and another based on overall productivity and impact. Through a causal model based on multiple linear regression on panel data, we model assimilation efficiency and confirm that the scientific production of a country can be explained in 98% through the GERD expressed as a percentage of GDP, and the number of Academic and Research Institutions that concentrate at least 50% of the national scientific production. And to measure countries efficiency on productivity and impact we introduce four indicators that quantify the relation between economic inputs and scientific outputs (dollars per paper (DPP), dollars per citation (DPC), citations received per 1,000 dollars invested (CIREDI) and papers produced per 1,000 dollars invested (PAPPDI)).

Suggested Citation

  • Barbara S. Lancho-Barrantes & Hector G. Ceballos-Cancino & Francisco J. Cantu-Ortiz, 2021. "Comparing the efficiency of countries to assimilate and apply research investment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1347-1369, August.
  • Handle: RePEc:spr:qualqt:v:55:y:2021:i:4:d:10.1007_s11135-020-01063-w
    DOI: 10.1007/s11135-020-01063-w
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    as
    1. Ling-Chu Lee & Pin-Hua Lin & Yun-Wen Chuang & Yi-Yang Lee, 2011. "Research output and economic productivity: a Granger causality test," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 465-478, November.
    2. Payne A. Abigail & Siow Aloysius, 2003. "Does Federal Research Funding Increase University Research Output?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-24, May.
    3. Mark R. Costa & Jian Qin & Sarah Bratt, 2016. "Emergence of collaboration networks around large scale data repositories: a study of the genomics community using GenBank," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 21-40, July.
    4. Ning Li, 2017. "Evolutionary patterns of national disciplinary profiles in research: 1996–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 493-520, April.
    5. Ebadi, Ashkan & Schiffauerova, Andrea, 2015. "How to become an important player in scientific collaboration networks?," Journal of Informetrics, Elsevier, vol. 9(4), pages 809-825.
    6. Qingjun Zhao & Jiancheng Guan, 2011. "International collaboration of three ‘giants’ with the G7 countries in emerging nanobiopharmaceuticals," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 159-170, April.
    7. Elio Atenógenes Villaseñor & Ricardo Arencibia-Jorge & Humberto Carrillo-Calvet, 2017. "Multiparametric characterization of scientometric performance profiles assisted by neural networks: a study of Mexican higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 77-104, January.
    8. Roula Inglesi-Lotz & Tsangyao Chang & Rangan Gupta, 2015. "Causality between research output and economic growth in BRICS," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 167-176, January.
    9. Valeria Aman, 2016. "How collaboration impacts citation flows within the German science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2195-2216, December.
    10. Ronald Rousseau & Jielan Ding, 2016. "Does international collaboration yield a higher citation potential for US scientists publishing in highly visible interdisciplinary Journals?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(4), pages 1009-1013, April.
    11. Castellacci, Fulvio & Natera, Jose Miguel, 2013. "The dynamics of national innovation systems: A panel cointegration analysis of the coevolution between innovative capability and absorptive capacity," Research Policy, Elsevier, vol. 42(3), pages 579-594.
    12. Jonathan M. Levitt & Mike Thelwall, 2016. "Long term productivity and collaboration in information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1103-1117, September.
    13. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    14. Lima Mariana & Sofía Liberman & Jane M. Russell, 2005. "Scientific group cohesiveness at the National University of México," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(1), pages 55-66, July.
    15. F. Moya-Anegón & V. Herrero-Solana, 1999. "Science in america latina: A comparison of bibliometric and scientific-technical indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(2), pages 299-320, October.
    16. Rivera, Rene & Sampedro, Jose Luis & Dutrenit, Gabriela & Ekboir, Javier Mario & Vera-Cruz, Alexandre O., 2009. "How productive are academic researchers in agriculture-related sciences? The Mexican case," MERIT Working Papers 2009-038, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    17. María‐del‐Mar Camacho‐Miñano & Manuel Núñez‐Nickel, 2009. "The multilayered nature of reference selection," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(4), pages 754-777, April.
    18. Zouhayr Hayati & Saeideh Ebrahimy, 2009. "Correlation between quality and quantity in scientific production: A case study of Iranian organizations from 1997 to 2006," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 625-636, September.
    19. Ulrich Schmoch & Torben Schubert, 2008. "Are international co-publications an indicator for quality of scientific research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 361-377, March.
    20. Seyed Mohammad Jafar Jalali & Han Woo Park, 2018. "State of the art in business analytics: themes and collaborations," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 627-633, March.
    21. Franz Barjak, 2006. "Research productivity in the internet era," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 343-360, September.
    22. Sultan Ayoub Meo & Abeer A Al Masri & Adnan Mahmood Usmani & Almas Naeem Memon & Syed Ziauddin Zaidi, 2013. "Impact of GDP, Spending on R&D, Number of Universities and Scientific Journals on Research Publications among Asian Countries," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-8, June.
    23. Ashkan Ebadi & Andrea Schiffauerova, 2013. "Impact of Funding on Scientific Output and Collaboration: A Survey of Literature," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 1-16.
    24. Gulbrandsen, Magnus & Smeby, Jens-Christian, 2005. "Industry funding and university professors' research performance," Research Policy, Elsevier, vol. 34(6), pages 932-950, August.
    25. Tuan V. Nguyen & Ly T. Pham, 2011. "Scientific output and its relationship to knowledge economy: an analysis of ASEAN countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 107-117, October.
    26. Ashkan Ebadi & Andrea Schiffauerova, 2016. "How to boost scientific production? A statistical analysis of research funding and other influencing factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1093-1116, March.
    27. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    28. Hamilton Ntuli & Roula Inglesi-Lotz & Tsangyao Chang & Anastassios Pouris, 2015. "Does research output cause economic growth or vice versa? Evidence from 34 OECD countries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(8), pages 1709-1716, August.
    29. Ashraf Uddin & Vivek Kumar Singh & David Pinto & Ivan Olmos, 2015. "Scientometric mapping of computer science research in Mexico," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 97-114, October.
    30. Heinze, Thomas & Shapira, Philip & Rogers, Juan D. & Senker, Jacqueline M., 2009. "Organizational and institutional influences on creativity in scientific research," Research Policy, Elsevier, vol. 38(4), pages 610-623, May.
    31. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    32. Sumeer Gul & Nahida Tun Nisa & Tariq Ahmad Shah & Sangita Gupta & Asifa Jan & Suhail Ahmad, 2015. "Middle East: research productivity and performance across nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1157-1166, November.
    33. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    34. Qiu, Shumin & Liu, Xielin & Gao, Taishan, 2017. "Do emerging countries prefer local knowledge or distant knowledge? Spillover effect of university collaborations on local firms," Research Policy, Elsevier, vol. 46(7), pages 1299-1311.
    35. Dag. W. Aksnes & Gunnar Sivertsen & Thed N. van Leeuwen & Kaja K. Wendt, 2017. "Measuring the productivity of national R&D systems: Challenges in cross-national comparisons of R&D input and publication output indicators," Science and Public Policy, Oxford University Press, vol. 44(2), pages 246-258.
    36. Yoscelina I. Hernandez‐Garcia & José Antonio Chamizo & Mina Kleiche‐Dray & Jane M. Russell, 2016. "The scientific impact of mexican steroid research 1935–1965: A bibliometric and historiographic analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1245-1256, May.
    37. Annamária Inzelt & András Schubert & Mihály Schubert, 2009. "Incremental citation impact due to international co-authorship in Hungarian higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 37-43, January.
    38. Ali Gazni & Mike Thelwall, 2016. "The citation impact of collaboration between top institutions: A temporal analysis," Research Evaluation, Oxford University Press, vol. 25(2), pages 219-229.
    39. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    40. Maxim Kotsemir, 2019. "Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2143-2173, July.
    41. Paul R. McAllister & Francis Narin, 1983. "Characterization of the research papers of U.S. medical schools," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 34(2), pages 123-131, March.
    42. Félix Moya-Anegón & Zaida Chinchilla-Rodríguez & Benjamín Vargas-Quesada & Elena Corera-Álvarez & Francisco José Muñoz-Fernández & Antonio González-Molina & Victor Herrero-Solana, 2007. "Coverage analysis of Scopus: A journal metric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 53-78, October.
    43. Huang, Ding-wei, 2016. "Positive correlation between quality and quantity in academic journals," Journal of Informetrics, Elsevier, vol. 10(2), pages 329-335.
    44. Ernesto R. Gantman, 2012. "Economic, linguistic, and political factors in the scientific productivity of countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 967-985, December.
    45. Dag W Aksnes, 2003. "Characteristics of highly cited papers," Research Evaluation, Oxford University Press, vol. 12(3), pages 159-170, December.
    46. Sakiru Adebola Solarin & Yuen Yee Yen, 2016. "A global analysis of the impact of research output on economic growth," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 855-874, August.
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