Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/111891 
Year of Publication: 
2013
Series/Report no.: 
Working Papers on Innovation and Space No. 08.13
Publisher: 
Philipps-University Marburg, Department of Geography, 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 estimate regions'€™ innovation efficiency in a global manner, while it can be disaggregated into industry-specific innovation efficiency measures. The latter is particularly useful when relating the innovative output to the R and D input involves the use of blurry matching procedures. 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.
Subjects: 
Keywords: regional innovation efficiency
shared-input DEA
nonparametric efficiency analysis
regional innovation
JEL: 
R12
O18
O31
Document Type: 
Working Paper

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