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Digital Library of the
European Council for Modelling and Simulation |
Title: |
Innovation Efficiency In Spain: An Analysis By Activity Branch |
Authors: |
María Auxiliadora de Vicente, María Rocío Guede, Francisco José Blanco, Alberto Romero |
Published in: |
(2009).ECMS
2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel
Pedrera. European Council for Modeling and
Simulation. doi:10.7148/2009 ISBN: 978-0-9553018-8-9 23rd
European Conference on Modelling and Simulation, Madrid, June
9-12, 2009 |
Citation
format: |
de Vicente, M. A., Guede, M. R., Blanco, F. J., & Romero, A. (2009).
Innovation Efficiency In Spain: An Analysis By Activity Branch. ECMS 2009
Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera (pp.
493-499). European Council for Modeling and Simulation. doi:10.7148/2009-0493-0499 |
DOI: |
http://dx.doi.org/10.7148/2009-0493-0499 |
Abstract: |
The
increase in productivity is an obvious objective for business, moreover with
the research and development objectives set out for Barcelona 2010 and the
Lisbon Summit. Productivity is linked to efficiency as enterprises have
increased productivity when they need less input to achieve certain outputs
or when they increase outputs with the same inputs. The
objective for this article is to analyze the innovation efficiency in Spain
by activity branch. To this end we will work with the 2006 data from the INE
(Spanish National Institute of Statistics) innovation and R&D activities
surveys. To this aim, we will use the following methodology for the
efficiency analysis: the one based on output oriented DEA (Data Envelopment
Analysis) with constant returns to scale. This technique will be completed
in two aspects. Firstly with the introduction of more inputs and outputs
without causing an increment of efficient units and, secondly the study will
be completed with a robust analysis to improve the DEA discrimination
capacity. |
Full
text: |