Innovation rankings: Good, bad or revealing?

Arbeitspapier

The standard indicators used to compare cross-country innovation are in the Global Competitiveness Report (GCR). But there are problems with aggregation and response bias with these largely self-reported measures (Hollanders and van Cruysen, 2008). We propose a theory-based metric using Data Envelopment Analysis which corrects for sample bias and considers Returns to Scale. The derived ranking compares well to components of the GCR. Moreover, in second-stage estimations, our corrected efficiency score correlates well with standard Growth Theory indicators.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Kiel Working Paper ; No. 1882

Classification and Topics

• Classification: Wirtschaft ; Optimization Techniques; Programming Models; Dynamic Analysis ; Semiparametric and Nonparametric Methods: General ; Technological Change: Government Policy
• Subject: Data Envelopment Analysis ; Efficiency Indicators ; Global Competitiveness Report

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Cai, Yuezhou ; Hanley, Aoife
• Event: Veröffentlichung
• (who): Kiel Institute for the World Economy (IfW)
• (where): Kiel
• (when): 2013

Further information

• Handle: http://hdl.handle.net/10419/88758
• Last update: 10.03.2025, 11:43 AM CET