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

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Working Papers on Innovation and Space ; No. 08.13

Classification and Topics

• Classification: Wirtschaft ; Size and Spatial Distributions of Regional Economic Activity ; Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure ; Innovation and Invention: Processes and Incentives
• Subject: Keywords: regional innovation efficiency ; shared-input DEA ; nonparametric efficiency analysis ; regional innovation

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Broekel, Tom ; Rogge, Nicky ; Brenner, Thomas
• Event: Veröffentlichung
• (who): Philipps-University Marburg, Department of Geography
• (where): Marburg
• (when): 2013

Further information

• Handle: http://hdl.handle.net/10419/111891
• Last update: 10.03.2025, 11:44 AM CET