Keywords: endogenous technical change, learning by doing, learning curve, R&, D investment, rate of return of R&, D, portfolio analysis, CO2 constraints
Endogenous learning in world post-Kyoto scenarios: application of the POLES model under adaptive expectations
This paper describes the endogenous technical change module that has been incorporated in POLES and the main quantitative results of the new version of the model and corresponding exercises. Section 2 presents the methodology that has been used in order to assess the returns to R&D for the main power generation technologies identified in the model. R&D budget allocation is then analysed for the base case in Section 3, which also illustrates the differences in the behaviour, respectively of the least and most risk-averse agents. Section 4, analyses in detail the changes in budget allocation that are induced by the introduction of CO2 emission constraints to 2030, as well as their impacts on marginal and total abatement costs for the main world regions. As a last step, the consequences of changes in public R&D are examined in Section 5. This exercise shows that the performance and diffusion of the technologies benefiting from the shift in public R&D are largely improved, in spite of noticeable 'crowding out' effects - of private research by public research - for these technologies.