Does foreign environmental policy influence domestic innovation ? Evidence from the wind industry

This paper examines the relative influence of domestic and foreign renewable energy policies on innovation activity in wind power using patent data from OECD countries from 1994 to 2005. We distinguish between the impact of demand-pull policies (e.g., guaranteed tariffs, investment and production tax credits), as reflected by wind power capacities installed annually, and technology-push policies (government support to R&D). We show that inventors respond to both domestic and foreign new capacities by increasing their innovation effort. However, the effect on innovation of the marginal wind turbine installed at home is 28 times stronger than that of the foreign marginal wind turbine. Unlike demandpull policies, public R&D expenditures only affect domestic inventors. A simple calculation suggests that the marginal million dollars spent on R&D support generates 0.82 new inventions, whereas the same amount spent on the deployment of wind turbines induces, at best, 0.06 new inventions (0.03 locally and 0.03 abroad).innovation;public R&D;renewable energy policies;wind power

Does foreign environmental policy influence domestic innovation? Evidence from the wind industry

This paper examines the relative influence of domestic and foreign renewable energy policies on innovation activity in wind power using patent data from OECD countries from 1994 to 2005. We distinguish between the impact of demand-pull policies (e.g., guaranteed tariffs, investment and production tax credits), as reflected by wind power capacities installed annually, and technology-push policies (government support to R&D). We show that inventors respond to both domestic and foreign new capacities by increasing their innovation effort. However, the effect on innovation of the marginal wind turbine installed at home is 28 times stronger than that of the foreign marginal wind turbine. Unlike demand-pull policies, public R&D expenditures only affect domestic inventors. A simple calculation suggests that the marginal million dollars spent on R&D support generates 0.82 new inventions, whereas the same amount spent on the deployment of wind turbines induces, at best, 0.06 new inventions (0.03 locally and 0.03 abroad)

Approximation of length minimization problems among compact connected sets

In this paper we provide an approximation \`a la Ambrosio-Tortorelli of some classical minimization problems involving the length of an unknown one-dimensional set, with an additional connectedness constraint, in dimension two. We introduce a term of new type relying on a weighted geodesic distance that forces the minimizers to be connected at the limit. We apply this approach to approximate the so-called Steiner Problem, but also the average distance problem, and finally a problem relying on the p-compliance energy. The proof of convergence of the approximating functional, which is stated in terms of Gamma-convergence relies on technical tools from geometric measure theory, as for instance a uniform lower bound for a sort of average directional Minkowski content of a family of compact connected sets

What drives the international transfer of climate change mitigation technologies? Empirical evidence from patent data

Using patent data from 66 countries for the period 1990–2003, we characterize the factors which promote or hinder the international diffusion of climate-friendly technologies on a global scale. Regression results show that technology-specific capabilities of the recipient countries are determinant factors. In contrast, the general level of education is less important. We also show that restrictions to international trade—e.g., high tariff rates—and lax intellectual property regimes negatively influence the international diffusion of patented knowledge. A counter-intuitive result is that barriers to foreign direct investments can promote transfers. We discuss different possible interpretations

The Clean Development Mechanism and the International Diffusion of Technologies: An Empirical Study

The Clean Development Mechanism (CDM) is expected to stimulate the North-South transfer of climate-friendly technologies. This paper provides an assessment of the technology transfers that take place through the CDM using a unique data set of 644 registered projects. It provides a detailed description of the transfers (frequency, type, by sector, by host country, etc.). It also includes an econometric analysis of their drivers. We show that transfer likeliness increases with the size of the projects. The transfer probability is 50% higher in projects implemented in a subsidiary of Annex 1 companies while the presence of an official credit buyer has a lower-albeit positive-impact. The analysis also yields interesting results on how technological capabilities of the host country influence technology diffusion in the CDM.Protocole de Kyoto; Mécanisme de Développement Propre; Transfert International de Technologie

A model for the erosion onset of a granular bed sheared by a viscous fluid

We study theoretically the erosion threshold of a granular bed forced by a viscous fluid. We first introduce a novel model of interacting particles driven on a rough substrate. It predicts a continuous transition at some threshold forcing $\theta_c$, beyond which the particle current grows linearly $J\sim \theta-\theta_c$, in agreement with experiments. The stationary state is reached after a transient time $t_{\rm conv}$ which diverges near the transition as $t_{\rm conv}\sim |\theta-\theta_c|^{-z}$ with $z\approx 2.5$. The model also makes quantitative testable predictions for the drainage pattern: the distribution $P(\sigma)$ of local current is found to be extremely broad with $P(\sigma)\sim J/\sigma$, spatial correlations for the current are negligible in the direction transverse to forcing, but long-range parallel to it. We explain some of these features using a scaling argument and a mean-field approximation that builds an analogy with $q$-models. We discuss the relationship between our erosion model and models for the depinning transition of vortex lattices in dirty superconductors, where our results may also apply.Comment: 5 pages, 6 figure

The Clean Development Mechanism and the International Diffusion of Technologies: An Empirical Study

The Clean Development Mechanism (CDM) is expected to stimulate the North-South transfer of climate-friendly technologies. This paper provides an assessment of the technology transfers that take place through the CDM using a unique data set of 644 registered projects. It provides a detailed description of the transfers (frequency, type, by sector, by host country, etc.). It also includes an econometric analysis of their drivers. We show that transfer likeliness increases with the size of the projects. The transfer probability is 50% higher in projects implemented in a subsidiary of Annex 1 companies while the presence of an official credit buyer has a lower – albeit positive – impact. The analysis also yields interesting results on how technological capabilities of the host country influence technology diffusion in the CDM.Kyoto Protocol, Clean Development Mechanism, International Technology Transfer

Technology transfer by CDM projects: A comparison of Brazil, China, India and Mexico

In a companion paper [Dechezleprêtre, A., Glachant, M., Ménière, Y., 2008. The Clean Development Mechanism and the international diffusion of technologies: An empirical study, Energy Policy 36, 1273–1283], we gave a general description of technology transfers by Clean Development Mechanism (CDM) projects and we analyzed their drivers. In this paper, we use the same data and similar econometric models to explain inter-country differences. We focus on 4 countries gathering about 75% of the CDM projects: Brazil, China, India and Mexico. Sixty eight percent of Mexican projects include an international transfer of technology. The rates are, respectively, 12%, 40% and 59% for India, Brazil and China. Our results show that transfers to Mexico and Brazil are mainly related to the strong involvement of foreign partners and good technological capabilities. Besides a relative advantage with respect to these factors, the higher rate of international transfers in Mexico seems to be due to a sector-composition effect. The involvement of foreign partners is less frequent in India and China, where investment opportunities generated by fast growing economies seem to play a more important role in facilitating international technology transfers through the CDM. International transfers are also related to strong technology capabilities in China. In contrast, the lower rate of international transfer (12%) in India may be due to a better capability to diffuse domestic technologies.