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An analysis of productive efficiency and innovation activity using DEA: An application to Spain's wood-based industry

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  • Diaz-Balteiro, Luis
  • Casimiro Herruzo, A.
  • Martinez, Margarita
  • Gonzalez-Pachon, Jacinto

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  • 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.
    • Handle: RePEc:eee:forpol:v:8:y:2006:i:7:p:762-773
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    2. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1, July.
    3. C Serrano Cinca & C Mar Molinero, 2004. "Selecting DEA specifications and ranking units via PCA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(5), pages 521-528, May.
    4. Nasierowski, W. & Arcelus, F. J., 2003. "On the efficiency of national innovation systems," Socio-Economic Planning Sciences, Elsevier, vol. 37(3), pages 215-234, September.
    5. Zvi Griliches, 1998. "Returns to Research and Development Expenditures in the Private Sector," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 49-81, National Bureau of Economic Research, Inc.
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    7. Jesús T. Pastor & JosÉ L. Ruiz & Inmaculada Sirvent, 2002. "A Statistical Test for Nested Radial Dea Models," Operations Research, INFORMS, vol. 50(4), pages 728-735, August.
    8. Iraizoz, Belen & Rapun, Manuel & Zabaleta, Idoia, 2003. "Assessing the technical efficiency of horticultural production in Navarra, Spain," Agricultural Systems, Elsevier, vol. 78(3), pages 387-403, December.
    9. 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.
    10. Edwin Mansfield, 1984. "R&D and Innovation: Some Empirical Findings," NBER Chapters, in: R&D, Patents, and Productivity, pages 127-154, National Bureau of Economic Research, Inc.
    11. Zhu, Joe, 1998. "Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities," European Journal of Operational Research, Elsevier, vol. 111(1), pages 50-61, November.
    12. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    13. Jenkins, Larry & Anderson, Murray, 2003. "A multivariate statistical approach to reducing the number of variables in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 147(1), pages 51-61, May.
    14. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    15. Hseu, Jiing-Shyang & Shang, Jui-Kou, 2005. "Productivity changes of pulp and paper industry in OECD countries, 1991-2000: a non-parametric Malmquist approach," Forest Policy and Economics, Elsevier, vol. 7(3), pages 411-422, March.
    16. Sun, Shinn, 2002. "Measuring the relative efficiency of police precincts using data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 36(1), pages 51-71, March.
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    Cited by:

    1. Alfranca, Óscar & Diaz-Balteiro, Luis & Herruzo, A. Casimiro, 2009. "Technical innovation in Spain's wood-based industry: The role of environmental and quality strategies," Forest Policy and Economics, Elsevier, vol. 11(3), pages 161-168, May.
    2. Lee, Jun Gon & Park, Min Jae, 2020. "Evaluation of technological competence and operations efficiency in the defense industry: The strategic planning of South Korea," Evaluation and Program Planning, Elsevier, vol. 79(C).
    3. Peltoniemi, Mirva, 2013. "Mechanisms of capability evolution in the Finnish forest industry cluster," Journal of Forest Economics, Elsevier, vol. 19(2), pages 190-205.
    4. Sabrina Auci & Nicolò Barbieri & Manuela Coromaldi & Donatella Vignani, 2021. "Innovation for climate change adaptation and technical efficiency: an empirical analysis in the European agricultural sector," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 597-623, July.
    5. Brida, Juan Gabriel & Ladós, Valentina & Sicilia, Gabriela, 2021. "Eficiencia innovadora en el sector servicios: el caso de Uruguay. || Innovative efficiency in the service sector: the case of Uruguay," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 240-258, June.
    6. Hisham Alidrisi, 2021. "The Development of an Efficiency-Based Global Green Manufacturing Innovation Index: An Input-Oriented DEA Approach," Sustainability, MDPI, vol. 13(22), pages 1-11, November.
    7. Figueiredo, Paulo N., 2016. "Evolution of the short-fiber technological trajectory in Brazil's pulp and paper industry: The role of firm-level innovative capability-building and indigenous institutions," Forest Policy and Economics, Elsevier, vol. 64(C), pages 1-14.
    8. Cruz-Cázares, Claudio & Bayona-Sáez, Cristina & García-Marco, Teresa, 2013. "You can’t manage right what you can’t measure well: Technological innovation efficiency," Research Policy, Elsevier, vol. 42(6), pages 1239-1250.
    9. He, Haoran & Weng, Qian, 2012. "Ownership, autonomy, incentives and efficiency: Evidence from the forest product processing industry in China," Journal of Forest Economics, Elsevier, vol. 18(3), pages 177-193.
    10. Qian Long Kweh & Wen-Min Lu & Fengyi Lin & Yung-Jr Deng, 2022. "Impact of research and development tax credits on the innovation and operational efficiencies of Internet of things companies in Taiwan," Annals of Operations Research, Springer, vol. 315(2), pages 1217-1241, August.
    11. Liu, Hui-hui & Yang, Guo-liang & Liu, Xiao-xiao & Song, Yao-yao, 2020. "R&D performance assessment of industrial enterprises in China: A two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    12. Ruey-Chyn Tsaur & I-Fei Chen & Yu-Shan Chan, 2017. "TFT-LCD industry performance analysis and evaluation using GRA and DEA models," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4378-4391, August.
    13. Alfranca, Oscar & Voces, Roberto & Herruzo, A. Casimiro & Diaz-Balteiro, Luis, 2014. "Effects of innovation on the European wood industry market structure," Forest Policy and Economics, Elsevier, vol. 40(C), pages 40-47.
    14. Fazil Gokgoz & Serap Pelin Turkoglu, 2017. "Investigating the energy efficiencies of OECD countries via a slack-based undesirable output model," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(3), pages 73-94.
    15. Qian Wang & Yang Chen & Heshan Guan & Oleksii Lyulyov & Tetyana Pimonenko, 2022. "Technological Innovation Efficiency in China: Dynamic Evaluation and Driving Factors," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    16. Boukherroub, Tasseda & LeBel, Luc & Ruiz, Angel, 2017. "A framework for sustainable forest resource allocation: A Canadian case study," Omega, Elsevier, vol. 66(PB), pages 224-235.
    17. Day-Yang Liu & Hui-Chien Fan & Joseph C.P. Shieh & Cheng-Hsien Lin, 2022. "Applications of a “Carry-Over†Enhanced DSBM Intertemporal Technical Efficiency Model on the Taiwanese 5G Industry," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(1), pages 1-2.
    18. Meng Lin, 2022. "The Conflict between Technology and Scale: Evidence from China’s Wooden Furniture Industry," Sustainability, MDPI, vol. 15(1), pages 1-15, December.

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