Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 77-109 |
| Seitenumfang | 33 |
| Fachzeitschrift | Review of Regional Research |
| Jahrgang | 38 |
| Ausgabenummer | 1 |
| Frühes Online-Datum | 7 März 2017 |
| Publikationsstatus | Veröffentlicht - Feb. 2018 |
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.
ASJC Scopus Sachgebiete
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
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in: Review of Regional Research, Jahrgang 38, Nr. 1, 02.2018, S. 77-109.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - The innovation efficiency of German regions
T2 - a shared-input DEA approach
AU - Broekel, Tom
AU - Rogge, Nicky
AU - Brenner, Thomas
N1 - Publisher Copyright: © 2017, Springer-Verlag Berlin Heidelberg.
PY - 2018/2
Y1 - 2018/2
N2 - 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.
AB - 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.
KW - Nonparametric efficiency analysis
KW - Regional innovation
KW - Regional innovation efficiency
KW - Shared-input DEA
UR - http://www.scopus.com/inward/record.url?scp=85014544322&partnerID=8YFLogxK
U2 - 10.1007/s10037-017-0112-0
DO - 10.1007/s10037-017-0112-0
M3 - Article
AN - SCOPUS:85014544322
VL - 38
SP - 77
EP - 109
JO - Review of Regional Research
JF - Review of Regional Research
SN - 0173-7600
IS - 1
ER -