Efficiency Assessment on Codified Knowledge Products: An SFA Approach

Authors

  • Gustavo Ferro Universidad del CEMA (UCEMA) and CONICET https://orcid.org/0000-0002-1592-0163
  • Nicolás Gatti Universidad del CEMA (UCEMA) and Centro de Economía y Prospectiva CIEP-INTA

DOI:

https://doi.org/10.7160/eriesj.2024.170104

Keywords:

Efficiency Frontiers, Cost Frontier, Codified Scientific Knowledge, National Innovation Systems

Abstract

Knowledge applied to innovation is increasingly recognized as an explanatory factor of economic growth. Innovation derives from applying knowledge to generate new products or processes. National Innovation Systems (NIS) performs as the formal or informal network of people within institutions, interacting to produce and apply knowledge to innovation. NIS can be understood as two subsystems: one based on scientifical and technological work, producing codified products (publications and patents), and the other centered on practical actions to diffuse, apply, and use knowledge. Our objective is to assess cost efficiency in the production of codified knowledge outputs (CKO), being our unit of analysis NIS (countries). To attain our goal, we apply a Stochastic Frontier Analysis (SFA) to estimate a cost frontier of CKO. The sample is a panel that includes 1189 observations, for 23 years (1996-2019), and 82 countries. Our main results identify determinants and patterns of efficiency and productivity, tendencies, and specifics of countries and groups of them.

Author Biography

Nicolás Gatti, Universidad del CEMA (UCEMA) and Centro de Economía y Prospectiva CIEP-INTA

BA in economibs by Universidad Argentina de la Empresa, MA in economics by Universidad del CEMA (UCEMA) and Ph.D. in Agricultural Economics by University of Illinois at Urbana-Champaign. Currently teaching at UCEMA and researching at Centro de Economía y Prospectiva CIEP-INTA.

References

Acs, Z. J., Audretsch, D. B., Lehmann, E. E., and Licht, G. (2016) ‘National Systems of Innovation’, Journal of Technology Transfer. The Journal of Technology Transfer, Vol. 42, No. 5, pp. 997-1008. https://doi.org/10.1007/s10961-016-9481-8

Aksnes D., Gunnar Sivertsen, W., van Leeuwen, T. N. And Wendt, K. K. (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, Vol. 44, No. 2, pp. 246-258. https://doi.org/10.1093/scipol/scw058

Atkinson, R. D. (2020) ‘Understanding the U.S. National Innovation System’, Information Technology & Innovation Foundation. https://doi.org/10.2139/ssrn.3079822

Barro, R. J. and Sala-i-Martin, X. (2003) Economic Growth. 2nd Edition. Cambridge: The MIT Press.

Bartels, F. L., Voss, H., Lederer, S., and Bachtrog, C. (2012) ‘Determinants of National Innovation Systems: Policy Implications for Developing Countries’, Innovation, Vol. 14, No. 1, pp. 2-18. https://doi.org/10.5172/impp.2012.14.1.2

Battese, G. E., and Coelli, T. J. (1988) ‘Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data’, Journal of Econometrics, Vol. 38, No. 3, pp. 387-399. https://doi.org/10.1016/0304-4076(88)90053-X

Battese, G. E., and Coelli, T. J. (1992) ‘Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India’, Journal of Productivity Analysis, Vol. 3, No. 1-2, pp. 153-169. https://doi.org/10.1007/BF00158774

Battese, G. E., and Coelli, T. J. (1995) ‘A model for technical inefficiency effects in a stochastic frontier production function for panel data’, Empirical Economics, Vol. 20, No. 2, pp. 325-332. https://doi.org/10.1007/BF01205442

Belotti, F., Daidone, S., Ilardi, G., and Atella, V. (2013) Stochastic frontier analysis using Stata. Stata Journal. https://doi.org/10.2139/ssrn.2145803

Bonaccorsi, A., and Daraio, C. (2003) ‘A Robust Nonparametric Approach to the Analysis of Scientific Productivity’, Research Evaluation, Vol. 12, No. 1, pp. 47-69. https://doi.org/10.3152/147154403781776726

Bonaccorsi, A., and Daraio C. (2004) ‘Econometric Approaches to The Analysis of Productivity of R&D Systems: Production Functions and Production Frontiers’, in Moed, H. F., Glänzel, W. and Schmoch, U. (ed.) Handbook of Quantitative Science and Technology Research, Amsterdam: Springer.

Bornmann L., Wagner, C., and Leydesdorff, L. (2018) ‘The Geography of References in Elite Articles: Which Countries Contribute to the Archives of Knowledge?’, PloS ONE, Vol. 13, No. 3, pp. e0194805. https://doi.org/10.1371/journal.pone.0194805

Carrillo, M. (2019) ‘Measuring and Ranking R&D Performance at the Country Level’, Economics and Sociology, Vol. 12, No. 1, pp. 100-114. https://doi.org/10.14254/2071-789X.2019/12-1/5

Carvalho, N., Carvalho, L., and Nunes, S. (2015) ‘A Methodology to Measure Innovation in European Union Through the National Innovation System’, International Journal of Innovation and Regional Development, Vol. 6, No. 2, pp. 159-180. https://doi.org/10.1504/IJIRD.2015.069703

Cirillo, V., Martinelli, A., Nuvolari, A., and Tranchero, M. (2019) ‘Only One Way to Skin a Cat? Heterogeneity and Equifinality in European National Innovation Systems’, Research Policy, Vol. 48, No. 4, pp. 905-922. https://doi.org/10.1016/j.respol.2018.10.012

Coccia, M. (2008) ‘Measuring Scientific Performance of Public Research Units for Strategic Change’, Journal of Informetrics, Vol. 2, No. 3, pp. 183-194. https://doi.org/10.1016/j.joi.2008.04.001

Coccia, M., and Rolfo, S. (2007) ‘How Research Policy Changes Can Affect the Organization and Productivity of Public Research Institutes: An Analysis Within the Italian National System of Innovation’, Journal of Comparative Policy Analysis: Research and Practice, Vol. 9, No. 3, pp. 215 - 233. http://dx.doi.org/10.1080/13876980701494624

Eggink, M. (2013). The Components of an Innovation System: A Conceptual Innovation System Framework. Journal of Innovation and Business Best Practices, Vol. 2013, 768378. https://doi.org/10.5171/2013.768378

Etzkowitz, H. (2015) ‘Rendezvous of the “Third Kind”: Triple Helix Origins and Future Possibilities’, Industry and Higher Education, Vol. 29, No. 4, pp. 243-247. https://doi.org/10.5367/ihe.2015.0267

Etzkowitz, H. (2011) ‘The Triple Helix: Science, Technology, and the Entrepreneurial Spirit’, Journal of Knowledge-Based Innovation in China, Vol. 3, No. 2, pp. 76-90. https://doi.org/10.1108/17561411111138937

Etzkowitz, H and Leydesdorff, L. (2000) ‘The Dynamics of Innovation: From National Systems and ‘Mode 2’ to Triple Helix of University-Industry-Government Relations’, Research Policy, Vol. 29, No. 2, pp. 109-123. https://doi.org/10.1016/S0048-7333(99)00055-4

Faberger, J. (2017) ‘Innovation Policy: Rationales, Lessons, and Challenges’, Journal of Economic Surveys, Vol. 31, No. 2, pp. 497-512. https://doi.org/10.1111/joes.12164

Fan, P. (2014) ‘Innovation in China’, Journal of Economic Surveys, Vol. 28, No. 4, pp. 725-745 https://doi.org/10.1111/joes.12083

Ferro, G. and Romero, C. A. (2021) ‘The Productive Efficiency of Science and Technology Worldwide: A Frontier Analysis’, Journal of Efficiency and Responsibility in Education and Science, Vol. 14, No. 4, pp. 217-230. https://doi.org/10.7160/eriesj.2021.140402

Godin, B. (2009). National Innovation System: The System Approach in Historical Perspective. Science, Technology, & Human Values, vol. 34, no. 4, pp. 476-501. https://doi.org/10.1177/0162243908329187

Godin, B. (2017). Models of Innovation. History of an Idea. Cambridge: The MIT Press.

Greene, W. (2005 a) ‘Fixed and random effects in stochastic frontier models’, Journal of Productivity Analysis, Vol. 23, No. 1, pp. 7-32. https://doi.org/10.1007/s11123-004-8545-1

Greene, W. (2005 b) ‘Reconsidering heterogeneity in panel data estimators of the stochastic frontier model’, Journal of Econometrics, Vol. 126, No. 2, pp. 269-303. https://doi.org/10.1016/j.jeconom.2004.05.003

Guan, J., and Chen, K. (2012) ‘Modeling The Relative Efficiency of National Innovation Systems’, Research Policy, Vol. 41, No. 1, pp. 102-115. https://doi.org/10.1016/j.respol.2011.07.001

Heritage Foundation Index of Economic Freedom (2023) Heritage Foundation Index of Economic Freedom, [Online], Available: https://www.heritage.org/index/download [11 Jul 2023]

Heller, M. A. and Eisenberg, R. (1998) ‘Can Patents Deter Innovation? The Anticommons in Biomedical Research’, Science, Vol. 280, No. 5364, pp. 698-701. https://doi.org/10.1126/science.280.5364.698

Hu, J-L., Yang, C.-H., and Chen, C.-P. (2014) ‘R&D Efficiency and The National Innovation System: An International Comparison Using the Distance Function Approach’, Bulletin of Economic Research, Vol. 66, No. 1, pp. 3307-3378. https://doi.org/10.1111/j.1467-8586.2011.00417.x

Kotsemir, M. (2013). ‘Measuring National Innovation Systems Efficiency - A Review of DEA Approach Basic’, Research Program Working Papers Series: Science, Technology, and Innovation. https://doi.org/10.2139/ssrn.2304735

Kumbhakar, S. C. (1990) ‘Production frontiers, panel data, and time-varying technical inefficiency’, Journal of Econometrics, Vol. 46, No. 1-2, pp. 201-211. https://doi.org/10.1016/0304-4076(90)90055-X

Kumbhakar, S. C., and Heshmati, A. (1995) ‘Efficiency Measurement in Swedish Dairy Farms: An Application of Rotating Panel Data’, American Journal of Agricultural Economics, Vol. 77, No. 3, pp. 660-674. https://doi.org/10.2307/1243233

Kumbhakar, S. C., Lien, G., and Hardaker, J. B. (2014) ‘Technical efficiency in competing panel data models: A study of Norwegian grain farming’, Journal of Productivity Analysis, Vol. 41, No. 2, pp. 321-337. https://doi.org/10.1007/s11123-012-0303-1

Lacy, P., Long, J., and Spindler, W. (2019) The Circular Economy Handbook: Realizing the Circular Advantage. Berlin: Springer Nature.

Lundvall, B-Å. (2005) ‘National Innovation Systems - Analytical Concept and Development Tool’ DRUID Tenth Anniversary Summer Conference 2005 on Dynamics of Industry and Innovation: Organizations, Networks and Systems, Vol. 14, No. 1, pp. 95-119. https://doi.org/10.1080/13662710601130863

Lundvall, B-Å. (2007 a) ‘Innovation System Research. Where it came from and where it might go’, The Global Network for Economics of Learning, Innovation, and Competence Building System (GLOBELICS). Oslo: pp. 1-51.

Lundvall, B‐Å. (2007 b) ‘National Innovation Systems—Analytical Concept and Development Tool’, Industry and Innovation, Vol. 14, No. 1, pp. 95-119. http://dx.doi.org/10.1080/13662710601130863

Manzini, S. T. (2012) ‘The National System of Innovation Concept: An Ontological Review and Critique’, South African Journal of Science, Vol. 108, No. 9/10. http://dx.doi.org/10.4102/sajs.v108i9/10.1038

Matei, M. M., and Aldea, A. (2012) ‘Ranking National Innovation Systems According to Their Technical Efficiency’, Procedia - Social and Behavioral Sciences, Vol. 62, pp. 968 - 974. https://doi.org/10.1016/j.sbspro.2012.09.165

Nasierowski, W. (2010) ‘Technical Efficiency of Efforts to Enhance Innovativeness in the European Union’, International Journal of Innovation and Technology Management, Vol. 07, No. 04, pp. 389-404. https://doi.org/10.1142/S0219877010002045

Nasierowski W., and Arcelus, F. J. (2003) ‘On The Efficiency of National Innovation Systems’, Socio-Economic Planning Sciences, Vol. 37, No. 3, pp. 215-234. https://doi.org/10.1016/S0038-0121(02)00046-0

OECD (1997). National Innovation Systems. Organization for Economic Cooperation and Development, [Online], Available: https://www.oecd.org/mena/47563588.pdf [10 Jul 2023]

Packalen, M. (2019) ‘Edge Factors: Scientific Frontier Positions of Nations’, Scientometrics, Vol. 118, No. 3, pp. 787-808. https://doi.org/10.1007/s11192-018-2991-4

Pan, T.-W., Hung, S.-W., and Lu, W.-M. (2010) ‘DEA Performance Measurement of The National Innovation System in Asia and Europe’, Asia-Pacific Journal of Operational Research, Vol. 27, No. 03, pp. 369-392. https://doi.org/10.1142/S0217595910002752

Pitt, M. M., and Lee, L. F. (1981) ‘The measurement and sources of technical inefficiency in the Indonesian weaving industry’, Journal of Development Economics, Vol. 9, No. 1, pp. 43-64. https://doi.org/10.1016/0304-3878(81)90004-3

Sábato, J. (1975) El pensamiento latinoamericano en la problemática ciencia-tecnología-desarrollo-dependencia. Paidós, Buenos Aires.

Sábato, J., and Mackenzie, M. (1982) La Producción de Tecnología. Autónoma o Transnacional. Nueva Imagen, México.

Scimago Journal & Country Rank (2022) Country Rankings, [Online], Available: https://www.scimagojr.com/countryrank.php [11 Jul 2023].

Schot, J., and Steinmueller, W. E. (2018) ‘Three Frames for Innovation Policy: R&D, Systems of Innovation and Transformative Change’, Research Policy, Vol. 47, No. 9, pp. 1554-1567. https://doi.org/10.1016/j.respol.2018.08.011

UNESCO (2023) Institute for Statistics (UIS), [Online], Available: http://data.uis.unesco.org/ [11 Jul 2023]

WIPO (2023) Information Resources on Patents, [Online], Available: https://www.wipo.int/patents/en/ [11 Jul 2023]

World Bank (2010). Innovation Policy. A Guide for Developing Countries [Online], Available: http://hdl.handle.net/10986/2460 [11 Jul 2023]

World Bank Open Data (2023) World Bank Open Data, [Online], Available: https://data.worldbank.org/ [11 Jul 2023]

Additional Files

Published

2024-03-31

How to Cite

Ferro, G. and Gatti, N. (2024) ’Efficiency Assessment on Codified Knowledge Products: An SFA Approach’, Journal on Efficiency and Responsibility in Education and Science, vol. 17, no. 1, pp. 35–54. https://doi.org/10.7160/eriesj.2024.170104

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Research Paper