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Innovation has become a key factor for economic growth, but how does the process take place at the level of individual firms? This book presents the main results of the OECD Innovation Microdata Project -- the first large-scale effort to exploit firm-level data from innovation surveys across 20 countries in an internationally harmonised way, with a view to addressing common analytical questions. Through the use of common indicators and econometric modeling, this analytical report presents a broad overview of how firms innovate in different countries, highlights some of the limitations of current innovation surveys, and identifies directions for future research.
Tables des matières:
Foreword Introduction -How do we measure innovation? -Microdata: what more can they tell us? -Exploiting the potential of microdata: a comparative project -Exploiting innovation surveys: lessons learned Chapter 1. Innovation Indicators -1.1. Introduction -1.2. Rationale and methodology -1.3. Simple indicators -1.4. Composite indicators -1.5. Conclusions -References -Annex 1.A1. Statistical Tables Chapter 2. Exploring Non-technological and Mixed Modes of Innovation Across Countries -2.1. Introduction -2.2. Theoretical context -2.3. Data and methodology -2.4. Results -2.5. Summary of findings -References Chapter 3. Innovation and Productivity: Estimating the Core Model Across 18 Countries -3.1. Background -3.2. The innovation and productivity link in a simplified framework -3.3. Preliminary findings and messages -3.4. Conclusions and sensitivity analysis -References -Annex 3.A1. The Model Specification: Advantages and Limitations -Annex 3.A2. Characteristics of the Sample of Surveys Underlying the Econometric Analysis Chapter 4. Innovation and Productivity: Extending the Core Model -4.1. Background -4.2. Extended models used by selected countries -4.3. Conclusion and research agenda -References -Annex 4.A1. Tables Chapter 5. Innovation and Intellectual Property Rights -5.1. Background -5.2. The link between innovation and IPRs -5.3. A first look at countries’ and firms’ propensity to patent -5.4. Main findings from the regression analysis -5.5. Conclusions and research agenda -References -Annex 5.A1. Economic Modelling -Annex 5.A2. Empirical Strategy -Annex 5.A3. Data and Variable Definitions -Annex 5.A4. Full Set of Estimation Results Annex A. Methodology