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The innovation efficiency of German regions - a shared-input DEA approach

Tom Broekel (), Nicky Rogge and Thomas Brenner ()
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Nicky Rogge: Katholieke Universiteit Leuven

No 2013-08, Working Papers on Innovation and Space from Philipps University Marburg, Department of Geography

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.

Keywords: Keywords: regional innovation efficiency; shared-input DEA; nonparametric efficiency analysis; regional innovation. (search for similar items in EconPapers)
JEL-codes: R12 O18 O31 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2013
New Economics Papers: this item is included in nep-cse, nep-eff, nep-geo, nep-ino and nep-knm
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Journal Article: The innovation efficiency of German regions – a shared-input DEA approach (2018) Downloads
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