Contents:
• Acknowledgements
• Contents
• List of Tables
• List of Figures
1. Structure of the thesis
1.1. Motivation and Objectives of the thesis 1.2. Outline of the thesis
2. Absorptive capacity and Knowledge Flows for Large International Firms: A Survey
2.1. Introduction
2.2. Framework to formalize the R&D Spillovers: A Review of the Literature
2.2.1. Technological and geographical proximities 2.2.2. Production function Approach
2.2.3. Knowledge production function Approach
2.3. Absorptive capacity: Definition and Measurement issues 2.4. Effects of Knowledge Spillovers: Econometric Modelling
and Empirical Evidence
3. Data and Empirical structure
4. Microevidence of the Effects of R&D on Labour Productivity for Large International R&D Firms
4.1. Introduction
4.2. Empirical findings
4.2.1. Variable and constant returns to scale specification 4.2.2. Robustness of the results
5. Geographic and Technological R&D Spillovers within the Triad: Microevidence from US Patents
5.1. Introduction
5.2. Estimation results
6. Technological and Geographical proximity effects on Knowledge Spillovers: Evidence from US Patent citations data
6.1. Introduction 6.2. Empirical results
6.2.1. Basic results
6.2.2. Analysis of proximity effects over time
7. Conclusions
7.1. State of the art, contributions to the literature and motivations
7.2. Main findings
7.3. Policy implications
7.4. Weaknesses of the research done and suggestions for the
further research
References
Appendix 1 :
• A1 – Firms by economic sector
• A2 – Summary statistics
• A3 – Number of firms and means by sector and economic area
• A4 – Correlation matrix (no constant returns to scale)
• A5 – Correlation matrix (constant returns to scale)
• A6 – Static analysis: Hausman test Ho: the difference on coefficient are not systematic (no constant returns to scale)
• A7 – Static analysis: Hausman test Ho: the difference on coefficient are not systematic (constant returns to scale)
Appendix 2 – Variance correction for the two-step GMM estimator.
Appendix 3 :
• B1 – Summary Statistics
• B2 – Number of firms and means by sector and economic area
LIST OF TABLES
Table 2.1 Production function approach: Comparative analysis on foreign spillovers Table 2.2 Comparative analysis based on technological or geographic proximities Table 2.3 Knowledge production function approach: Comparative analysis
Table 2.4 Comparative analysis on Absorptive capacity Table 3.1 Constant returns to scale test
Table 3.2 Technological and geographic (in italic) proximities Table 3.3 Matrix of knowledge flows based on citation data Table 3.4 Summary statistics
Table 4.1 Levels of output and input per capita and Total Factor Productivity Table 4.2 Extended production function with variable returns to scale
Table 4.3 Extended production function with constant returns to scale Table 4.4 Robustness of results
Table 5.1 Technology and geographic based R&D spillovers (GMM-system) Table 5.2 Absorptive capacity (GMM-system estimates)
Table 6.1 Estimation results (1) Table 6.2 Estimation results (2)
LIST OF FIGURES
Figure 2.1 Effects of R&D investments
Figure 3.1 Number of patents by economic area in the sample
