PL EN


2016 | 17 | 2 | 123-133
Article title

OCENA EFEKTYWNOŚCI DZIAŁALNOŚCI BADAWCZO-ROZWOJOWEJ W KRAJACH OECD

Content
Title variants
EN
EVALUATION OF EFFICIENCY OF RESEARCH AND DEVELOPMENT ACTIVITIES IN OECD COUNTRIES
Languages of publication
PL
Abstracts
PL
Działalność badawczo-rozwojowa jest istotną częścią polityki innowacyjnej. Ocenę tej działalności w krajach OECD przeprowadzono wykorzystując metodę DEA. Uwzględniono nakłady: poziom wykształcenia, współpracę nauki z biznesem i poziom wykorzystywania wiedzy w firmach oraz rezultaty: liczba publikacji, patentów i doktoratów oraz eksport sektorów wysokich technologii i indeks Hirsha. Zwrócono uwagę na problem zerowych wag oraz przesunięcia czasowego. Przedstawiono rekomendacje poprawy efektywności dla krajów nieefektywnych.
EN
Research and development is an essential part of innovation policy. The evaluation of this activity in the OECD countries was conducted with DEA. As inputs, education attainment, science and business cooperation and the level of knowledge utilization in companies, and as results, the number of publications, patents and doctorates and export volume of the high technology sectors and Hirsh index were taken into account. Attention was drawn to the problem of zero weights and time lags. Recommendations for improving the efficiency of inefficient countries are proposed.
Contributors
References
  • Bei W., Wei-dong L., Jian-bo Z. (2012) Evaluation on the Efficiency for the Allocation
  • of Science and Technology Resources in China Based on DEA Model. [w:] Advances in Intelligent Systems (red. G. Lee), 135-140.
  • 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. (2013) Produce patents or journal articles? A cross-country comparison of R&D productivity change. Scientometrics, 94, 833-849.
  • Cooper W., Seiford L., Tone K. (2006) Introduction to Data Envelopment Analysis and Its Uses, Springer, New York.
  • Cooper W. W., Seiford L. M., Zhu J. (2011) Handbook on Data Envelopment Analysis, Springer, New York.
  • Dosi G., Llerena P., Labini M. S. (2006) The relationships between science, technologies and their industrial exploitation: An illustration through the myths and realities of the so-called ‘European Paradox’. Research Policy, 35, 1450-1464.
  • Dutta S., Lanvin B., Wunsch-Vincent S. (2015) The Global Innovation Index 2015: Effective Innovation Policies for Development. Cornell University, INSEAD
  • and WIPO, Fontainebleau, Ithaca and Geneva.
  • Eilat H., Golany B., Shtub A. (2008) R&D project evaluation: An integrated DEA
  • and balanced scorecard approach. Omega -The International Journal of Management Science, 36, 895-912.
  • Furman J. L., Porter M. E., Stern S. (2002) The determinants of national innovative capacity. Research Policy, 31, 899-933.
  • Guan J., Chen K. (2012) Modeling the relative efficiency of national innovation systems, Research Policy, 41 (10), 102-115.
  • Guan J., Zuo K. (2014) A cross-country comparison of innovation efficiency. Scientometrics, 100 (2), 541-575.
  • Kaplan R. S., Norton D. P (2001) Strategiczna karta wyników. Jak przełożyć strategię na działanie. Wydawnictwo Naukowe PWN, Warszawa.
  • Lee T., Zhang Y., Jeong B. H. (2016) A multi-period output DEA model with consistent time lag effects. Computers & Industrial Engineering, 93, 267-274.
  • Mecit E. D., Alp I. (2013) A new proposed model of restricted data envelopment analysis by correlation coefficients. Applied Mathematical Modelling, 37, 3407-3425.
  • OECD (2015) OECD Science, Technology and Industry Scoreboard 2015: Innovation for growth and society. OECD Publishing, Paris.
  • OECD (2016) http://stats.oecd.org [data dostępu: 01.02.2016].
  • Roll Y., Golany B. (1993) Alternate Methods of Treating Factor Weights in DEA. Omega-International Journal of Management Science, 21 (1), 99-109.
  • SCImago (2016) SJR - SCImago Journal & Country Rank, http://www.scimagojr.com [data dostępu: 24.03.2016].
  • Sharma S., Thomas V. J. (2008) Inter-country R&D efficiency analysis: An application of data envelopment analysis. Scientometrics, 76 (3), 483-501.
  • Wong C. Y (2013) On a path to creative destruction: science, technology and science-based technological trajectories of Japan and South Korea. Scientometrics, 96, 323–336.
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-22c12605-8fef-4a3f-8293-9250d26ae648
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.