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The innovation efficiency of German regions – a shared-input DEA approach

Author

Listed:
  • Tom Broekel

    (Leibniz University of Hanover)

  • Nicky Rogge

    (KULeuven)

  • Thomas Brenner

    (Philipps University Marburg)

Abstract

The paper contributes to the debate on how to measure regions’ innovation performance. On the basis of the concept of regional innovation efficiency, we propose a new measure that eases the issue of choosing between industry-specific or global measures. We argue for the use of a robust shared-input DEA-model to compute regions’ innovation efficiency in a global manner, while it can be disaggregated into industry-specific measures. We illustrate the use of the method by investigating the innovation efficiency as well as its change in time of German labor market regions. It is shown that the method treats regions that have industry structures skewed towards industries with high and low innovation intensities more fairly than traditional approaches.

Suggested Citation

  • Tom Broekel & Nicky Rogge & Thomas Brenner, 2018. "The innovation efficiency of German regions – a shared-input DEA approach," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(1), pages 77-109, February.
  • Handle: RePEc:spr:jahrfr:v:38:y:2018:i:1:d:10.1007_s10037-017-0112-0
    DOI: 10.1007/s10037-017-0112-0
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    1. Tom Broekel, 2015. "Do Cooperative Research and Development (R&D) Subsidies Stimulate Regional Innovation Efficiency? Evidence from Germany," Regional Studies, Taylor & Francis Journals, vol. 49(7), pages 1087-1110, July.
    2. Koen Frenken & Frank Van Oort & Thijs Verburg, 2007. "Related Variety, Unrelated Variety and Regional Economic Growth," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 685-697.
    3. Thomas Brenner & Tom Broekel, 2011. "Methodological Issues in Measuring Innovation Performance of Spatial Units," Industry and Innovation, Taylor & Francis Journals, vol. 18(1), pages 7-37.
    4. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    5. Michael Fritsch, 2003. "How and Why Does the Efficiency of Regional Innovation Systems Differ?," Advances in Spatial Science, in: Johannes Bröcker & Dirk Dohse & Rüdiger Soltwedel (ed.), Innovation Clusters and Interregional Competition, chapter 5, pages 79-96, Springer.
    6. Corinne Autant‐Bernard & James P. LeSage, 2011. "Quantifying Knowledge Spillovers Using Spatial Econometric Models," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 471-496, August.
    7. Kristof De Witte & Mika Kortelainen, 2013. "What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2401-2412, June.
    8. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    9. Michael Fritsch, 2000. "Interregional Differences in R&D Activities—An Empirical Investigation," European Planning Studies, Taylor & Francis Journals, vol. 8(4), pages 409-427, August.
    10. Cooke, Philip & Gomez Uranga, Mikel & Etxebarria, Goio, 1997. "Regional innovation systems: Institutional and organisational dimensions," Research Policy, Elsevier, vol. 26(4-5), pages 475-491, December.
    11. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    12. Wade Cook & Moez Hababou & Hans Tuenter, 2000. "Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches," Journal of Productivity Analysis, Springer, vol. 14(3), pages 209-224, November.
    13. Tom Broekel, 2012. "Collaboration Intensity and Regional Innovation Efficiency in Germany—A Conditional Efficiency Approach," Industry and Innovation, Taylor & Francis Journals, vol. 19(2), pages 155-179, February.
    14. Tom Broekel & Martin Binder, 2007. "The Regional Dimension of Knowledge Transfers—A Behavioral Approach," Industry and Innovation, Taylor & Francis Journals, vol. 14(2), pages 151-175.
    15. Jiancheng Guan & Kaihua Chen, 2010. "Modeling macro-R&D production frontier performance: an application to Chinese province-level R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 165-173, January.
    16. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    17. Seok-Oh Jeong & Byeong Park & Léopold Simar, 2010. "Nonparametric conditional efficiency measures: asymptotic properties," Annals of Operations Research, Springer, vol. 173(1), pages 105-122, January.
    18. Edquist , Charles & Zabala-Iturriagagoitia , Jon Mikel, 2015. "The Innovation Union Scoreboard is flawed: The Case of Sweden – not the innovation leader of the EU – updated version," Papers in Innovation Studies 2015/27, Lund University, CIRCLE - Centre for Innovation Research.
    19. Audretsch, David B, 1998. "Agglomeration and the Location of Innovative Activity," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 14(2), pages 18-29, Summer.
    20. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    21. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    22. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    23. Deyle, Hanno-G. & Grupp, Hariolf, 2005. "Commuters and the regional assignment of innovative activities: A methodological patent study of German districts," Research Policy, Elsevier, vol. 34(2), pages 221-234, March.
    24. Johannes Bröcker & Dirk Dohse & Rüdiger Soltwedel (ed.), 2003. "Innovation Clusters and Interregional Competition," Advances in Spatial Science, Springer, number 978-3-540-24760-9.
    25. Kaihua Chen & Jiancheng Guan, 2012. "Measuring the Efficiency of China's Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA)," Regional Studies, Taylor & Francis Journals, vol. 46(3), pages 355-377, April.
    26. Corinne Autant-Bernard & James Lesage, 2011. "Quantifying knowledge spillovers using spatial econometric tools," Post-Print halshs-00617709, HAL.
    27. Jon Zabala-Iturriagagoitia & Peter Voigt & Antonio Gutierrez-Gracia & Fernando Jimenez-Saez, 2007. "Regional Innovation Systems: How to Assess Performance," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 661-672.
    28. Edquist , Charles & Zabala-Iturriagagoitia , Jon Mikel, 2015. "The Innovation Union Scoreboard is Flawed: The case of Sweden – not being the innovation leader of the EU," Papers in Innovation Studies 2015/16, Lund University, CIRCLE - Centre for Innovation Research.
    29. Arundel, Anthony & Kabla, Isabelle, 1998. "What percentage of innovations are patented? empirical estimates for European firms," Research Policy, Elsevier, vol. 27(2), pages 127-141, June.
    30. F Pedraja-Chaparro & J Salinas-Jiménez & P Smith, 1999. "On the quality of the data envelopment analysis model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(6), pages 636-644, June.
    31. Tom Broekel, 2007. "A Concordance between Industries and Technologies Matching the technological fields of the Patentatlas to the German Industry Classification," Jena Economics Research Papers 2007-041, Friedrich-Schiller-University Jena.
    32. Breschi, Stefano & Malerba, Franco & Orsenigo, Luigi, 2000. "Technological Regimes and Schumpeterian Patterns of Innovation," Economic Journal, Royal Economic Society, vol. 110(463), pages 388-410, April.
    33. Furman, Jeffrey L. & Porter, Michael E. & Stern, Scott, 2002. "The determinants of national innovative capacity," Research Policy, Elsevier, vol. 31(6), pages 899-933, August.
    34. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67(3), pages 297-297.
    35. Tom Broekel & Thomas Brenner, 2007. "Measuring Regional Innovativeness - A Methodological Discussion and an Application to One German Industry," Jena Economics Research Papers 2007-065, Friedrich-Schiller-University Jena.
    36. Cook, Wade D. & Green, Rodney H., 2004. "Multicomponent efficiency measurement and core business identification in multiplant firms: A DEA model," European Journal of Operational Research, Elsevier, vol. 157(3), pages 540-551, September.
    37. Michael Fritsch & Viktor Slavtchev, 2011. "Determinants of the Efficiency of Regional Innovation Systems," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 905-918.
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    3. Bischoff, Thore Sören & Hipp, Ann & Runst, Petrik, 2023. "Firm innovation and generalized trust as a regional resource," Research Policy, Elsevier, vol. 52(8).
    4. Svetlana V. Ratner & Andrey V. Lychev & Vladimir E. Krivonozhko, 2024. "Data Envelopment Analysis-Based Approach to Improving of the Budget Allocation System for Decarbonization Targets," Economies, MDPI, vol. 12(7), pages 1-16, June.
    5. Panpan Liu & Guanghui Han & Haichao Yang & Xiaobo Li, 2024. "A Sustainable Development Study on Innovation Factor Allocation Efficiency and Spatial Correlation Based on Regions along the Belt and Road in China," Sustainability, MDPI, vol. 16(7), pages 1-22, April.
    6. Prokop, Viktor & Hajek, Petr & Stejskal, Jan, 2021. "Configuration Paths to Efficient National Innovation Ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    7. Xiangyu Guo & Canhui Deng & Dan Wang & Xu Du & Jiali Li & Bowen Wan, 2021. "International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    8. Aguilar-Barceló, José G. & Higuera-Cota, Fernanda, 2019. "Challenges in innovation management for Latin America and the Caribbean: an efficiency analysis," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    9. Stepan Zemtsov & Maxim Kotsemir, 2019. "An assessment of regional innovation system efficiency in Russia: the application of the DEA approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 375-404, August.
    10. Cristian Barra & Nazzareno Ruggiero, 2022. "How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 591-642, April.
    11. Bischoff, Thore Sören & Hipp, Ann & Runst, Petrik, 2022. "Firm innovation and generalized trust as a regional resource," ifh Working Papers 32/2022, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).

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    More about this item

    Keywords

    Regional innovation efficiency; Shared-input DEA; Nonparametric efficiency analysis; Regional innovation;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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