You can’t manage right what you can’t measure well: Technological innovation efficiency
This paper proposes a new approach to tackle the innovation–performance relationship. It addresses the, so far, mixed and inconclusive results of studies analyzing this relationship. We argue that the undifferentiated use of innovation inputs and outputs to measure firm innovativeness is not without problems, and that, from a productive perspective, they should be simultaneously analyzed. This study follows a two-stage empirical analysis using a sample of Spanish manufacturing firms for the period 1992–2005. By examining two inputs and two outputs of the innovation process in the first stage, we estimate technological innovation efficiency by means of an intertemporal data envelopment analysis (DEA) bootstrap and also observe the yearly efficiency changes based on a global Malmquist index. In the second stage we analyze the effect of technological innovation efficiency on firm performance through a generalized method of moments (GMM) system. The results support our arguments that the best measurement of outcomes of technological innovations is through the efficiency with which they are developed. In addition, we test the moderating effect of technological intensity level and firm size on the efficiency–performance relationship.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- M. Ruth & K. Donaghy & P. Kirshen, 2006. "Introduction," Chapters, in: Regional Climate Change and Variability, chapter 1 Edward Elgar Publishing.
- Zvi Griliches, 1990.
"Patent Statistics as Economic Indicators: A Survey,"
NBER Working Papers
3301, National Bureau of Economic Research, Inc.
- Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
- Griliches, Zvi, 1990. "Patent Statistics as Economic Indicators: A Survey," Journal of Economic Literature, American Economic Association, vol. 28(4), pages 1661-1707, December.
- George, Gerard & Zahra, Shaker A. & Wood, D. Jr., 2002. "The effects of business-university alliances on innovative output and financial performance: a study of publicly traded biotechnology companies," Journal of Business Venturing, Elsevier, vol. 17(6), pages 577-609, October.
- Diaz-Balteiro, Luis & Casimiro Herruzo, A. & Martinez, Margarita & Gonzalez-Pachon, Jacinto, 2006. "An analysis of productive efficiency and innovation activity using DEA: An application to Spain's wood-based industry," Forest Policy and Economics, Elsevier, vol. 8(7), pages 762-773, October.
- Teece, David J., 1993.
"Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy,"
Elsevier, vol. 22(2), pages 112-113, April.
- Teece, David J., 1986. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," Research Policy, Elsevier, vol. 15(6), pages 285-305, December.
- M Arellano & O Bover, 1990.
"Another Look at the Instrumental Variable Estimation of Error-Components Models,"
CEP Discussion Papers
dp0007, Centre for Economic Performance, LSE.
- Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
- 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.
- Simar, L. & Wilson, P.W., 1999.
"Statistical Inference in Nonparametric Frontier Models: the State of the Art,"
9904, Catholique de Louvain - Institut de statistique.
- Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
- Frantz, Roger, 1992. "X-Efficiency and Allocative Efficiency: What Have We Learned?," American Economic Review, American Economic Association, vol. 82(2), pages 434-38, May.
- Santamara, Llus & Nieto, Mara Jess & Barge-Gil, Andrs, 2009. "Beyond formal R&D: Taking advantage of other sources of innovation in low- and medium-technology industries," Research Policy, Elsevier, vol. 38(3), pages 507-517, April.
- Blundell, R. & Bond, S., 1995.
"Initial Conditions and Moment Restrictions in Dynamic Panel Data Models,"
104, Economics Group, Nuffield College, University of Oxford.
- Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
- R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
- Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
- Koellinger, Philipp, 2008. "The relationship between technology, innovation, and firm performance--Empirical evidence from e-business in Europe," Research Policy, Elsevier, vol. 37(8), pages 1317-1328, September.
- Hall, Bronwyn H & Ziedonis, Rosemarie Ham, 2001. "The Patent Paradox Revisited: An Empirical Study of Patenting in the U.S. Semiconductor Industry, 1979-1995," RAND Journal of Economics, The RAND Corporation, vol. 32(1), pages 101-28, Spring.
- repec:fth:harver:1473 is not listed on IDEAS
- Weerawardena, Jay & O'Cass, Aron & Julian, Craig, 2006. "Does industry matter? Examining the role of industry structure and organizational learning in innovation and brand performance," Journal of Business Research, Elsevier, vol. 59(1), pages 37-45, January.
- Brown, Rayna, 2006. "Mismanagement or mismeasurement? Pitfalls and protocols for DEA studies in the financial services sector," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1100-1116, October.
- Haas, David A. & Murphy, Frederic H., 2003. "Compensating for non-homogeneity in decision-making units in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 144(3), pages 530-544, February.
- Zvi Griliches, 1998.
"Productivity and R&D at the Firm Level,"
in: R&D and Productivity: The Econometric Evidence, pages 100-133
National Bureau of Economic Research, Inc.
- Hashimoto, Akihiro & Haneda, Shoko, 2008. "Measuring the change in R&D efficiency of the Japanese pharmaceutical industry," Research Policy, Elsevier, vol. 37(10), pages 1829-1836, December.
- Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
- Kamien,Morton I. & Schwartz,Nancy L., 1982. "Market Structure and Innovation," Cambridge Books, Cambridge University Press, number 9780521293853, December.
- Bayona-Sáez, Cristina & García-Marco, Teresa, 2010. "Assessing the effectiveness of the Eureka Program," Research Policy, Elsevier, vol. 39(10), pages 1375-1386, December.
- Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, September.
- Wang, Eric C. & Huang, Weichiao, 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach," Research Policy, Elsevier, vol. 36(2), pages 260-273, March.
- Cohen, Wesley M. & Levin, Richard C., 1989. "Empirical studies of innovation and market structure," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 2, chapter 18, pages 1059-1107 Elsevier.
- Kortum, Samuel & Lerner, Josh, 1999. "What is behind the recent surge in patenting?1," Research Policy, Elsevier, vol. 28(1), pages 1-22, January.
- Zvi Griliches, 1979.
"Issues in Assessing the Contribution of Research and Development to Productivity Growth,"
Bell Journal of Economics,
The RAND Corporation, vol. 10(1), pages 92-116, Spring.
- 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.
- Guan, Jian Cheng & Yam, Richard C.M. & Mok, Chiu Kam & Ma, Ning, 2006. "A study of the relationship between competitiveness and technological innovation capability based on DEA models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 971-986, May.
- Lichtenthaler, Ulrich, 2010.
"Determinants of proactive and reactive technology licensing: A contingency perspective,"
Elsevier, vol. 39(1), pages 55-66, February.
- Lichtenthaler, Ulrich, 2009. "The role of corporate technology strategy and patent portfolios in low-, medium- and high-technology firms," Research Policy, Elsevier, vol. 38(3), pages 559-569, April.
- Chun-Hsien Wang & Jun-Yen Lee & Yi-Hua Chang, 2012. "Measuring productivity in the biotechnology industry using the global Malmquist index," Applied Economics Letters, Taylor & Francis Journals, vol. 19(9), pages 807-812, June.
- Yamin, Shahid & Mavondo, Felix & Gunasekaran, A & Sarros, James C., 1997. "A study of competitive strategy, organisational innovation and organisational performance among Australian manufacturing companies," International Journal of Production Economics, Elsevier, vol. 52(1-2), pages 161-172, October.
- Lichtenberg, Frank R, 1984. "The Relationship between Federal Contract R&D and Company R&D," American Economic Review, American Economic Association, vol. 74(2), pages 73-78, May.
- Wang, Eric C., 2007. "R&D efficiency and economic performance: A cross-country analysis using the stochastic frontier approach," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 345-360.
- Jiann-Chyuan Wang & Kuen-Hung Tsai, 2003. "Productivity Growth and R&D Expenditure in Taiwan's Manufacturing Firms," NBER Working Papers 9724, National Bureau of Economic Research, Inc.
- Vikas Mittal & Eugene W. Anderson & Akin Sayrak & Pandu Tadikamalla, 2005. "Dual Emphasis and the Long-Term Financial Impact of Customer Satisfaction," Marketing Science, INFORMS, vol. 24(4), pages 544-555, August.
- Liao, Tung-Shan & Rice, John, 2010. "Innovation investments, market engagement and financial performance: A study among Australian manufacturing SMEs," Research Policy, Elsevier, vol. 39(1), pages 117-125, February.
- Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
- Alvarez, Roberto & Crespi, Gustavo, 2003. "Determinants of Technical Efficiency in Small Firms," Small Business Economics, Springer, vol. 20(3), pages 233-44, May.
- Alex Coad & Rekha Rao, 2006.
"Innovation and Firm Growth in High-Tech Sectors: A Quantile Regression Approach,"
LEM Papers Series
2006/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Coad, Alex & Rao, Rekha, 2008. "Innovation and firm growth in high-tech sectors: A quantile regression approach," Research Policy, Elsevier, vol. 37(4), pages 633-648, May.
- Alex Coad & Rekha Rao, 2007. "Innovation and Firm Growth in High-Tech Sectors: A Quantile Regression Approach," Open Discussion Papers in Economics 57, The Open University, Faculty of Social Sciences, Department of Economics.
- Pablo Arocena & Ariadna García-Prado, 2007. "Accounting for quality in the measurement of hospital performance: evidence from Costa Rica," Health Economics, John Wiley & Sons, Ltd., vol. 16(7), pages 667-685.
- Mario Kafouros, 2005. "R&D and productivity growth: Evidence from the UK," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(6), pages 479-497.
When requesting a correction, please mention this item's handle: RePEc:eee:respol:v:42:y:2013:i:6:p:1239-1250. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.