Induced innovation in energy technologies and systems: a review of evidence and potential implications for CO2 mitigation

We conduct a systematic, interdisciplinary review of empirical literature assessing evidence on induced innovation in energy and related technologies. We explore links between demand-drivers (both market-wide and targeted); indicators of innovation (principally, patents); and outcomes (cost reduction, efficiency, and multi-sector/macro consequences). We build on existing reviews in different fields and assess over 200 papers containing original data analysis. Papers linking drivers to patents, and indicators of cumulative capacity to cost reductions (experience curves), dominate the literature. The former does not directly link patents to outcomes; the latter does not directly test for the causal impact of on cost reductions). Diverse other literatures provide additional evidence concerning the links between deployment, innovation activities, and outcomes. We derive three main conclusions. (1) Demand-pull forces enhance patenting; econometric studies find positive impacts in industry, electricity and transport sectors in all but a few specific cases. This applies to all drivers - general energy prices, carbon prices, and targeted interventions that build markets. (2) Technology costs decline with cumulative investment for almost every technology studied across all time periods, when controlled for other factors. Numerous lines of evidence point to dominant causality from at-scale deployment (prior to self-sustaining diffusion) to cost reduction in this relationship. (3) Overall Innovation is cumulative, multi-faceted, and self-reinforcing in its direction (path-dependent). We conclude with brief observations on implications for modeling and policy. In interpreting these results, we suggest distinguishing the economics of active deployment, from more passive diffusion processes, and draw the following implications. There is a role for policy diversity and experimentation, with evaluation of potential gains from innovation in the broadest sense. Consequently, endogenising innovation in large-scale models is important for deriving policy-relevant conclusions. Finally, seeking to relate quantitative economic evaluation to the qualitative socio-technical transitions literatures could be a fruitful area for future research

L'Innovation Technologique Face au Défit Climatique: Quelle est la Position de la France?

International audienc

Do tax incentives increase firm innovation? an RD design for R&D, patents, and spillovers

We present evidence of the positive causal impacts of research and development (R&D) tax incentives on a firm’s own innovation and that of its technological neighbors (spillovers). Exploiting a change in the assets-based size thresholds that determine eligibility for R&D tax relief, we implement a Regression Discontinuity (RD) Design using administrative data. We find statistically and economically significant effects of tax relief on (quality-adjusted) patenting (and R&D) that persist up to seven years after the change. Moreover, we also find causal evidence of R&D spillovers on the innovation of technologically close peer firms. We can rule out elasticities of patenting with respect to the user cost of R&D of under 2 at the 5% level and show evidence that our large effects are likely because the treated group are more likely to be financially constrained

Determinants of the Pace of Global Innovation in Energy Technologies

Understanding the factors driving innovation in energy technologies is of critical importance to mitigating climate change and addressing other energy-related global challenges. Low levels of innovation, measured in terms of energy patent filings, were noted in the 1980s and 90s as an issue of concern and were attributed to limited investment in public and private research and development (R&D). Here we build a comprehensive global database of energy patents covering the period 1970–2009, which is unique in its temporal and geographical scope. Analysis of the data reveals a recent, marked departure from historical trends. A sharp increase in rates of patenting has occurred over the last decade, particularly in renewable technologies, despite continued low levels of R&D funding. To solve the puzzle of fast innovation despite modest R&D increases, we develop a model that explains the nonlinear response observed in the empirical data of technological innovation to various types of investment. The model reveals a regular relationship between patents, R&D funding, and growing markets across technologies, and accurately predicts patenting rates at different stages of technological maturity and market development. We show quantitatively how growing markets have formed a vital complement to public R&D in driving innovative activity. These two forms of investment have each leveraged the effect of the other in driving patenting trends over long periods of time.National Science Foundation (U.S.) (Grant SBE-0738187)Solomon Buchsbaum AT&T Research Fun

Eco-innovation in support of sustainable development goals

The eco-innovation can be defined as the creation of new products and services to increase value in the economic system but without damaging the environment (Fussler and James 1996). This definition evidences the two main concepts of the eco-innovation: from one hand, there is product or service novelty or innovation, from the another hand, the decrease in the negative impacts on the environment assumes a relevant combined role. This eco-innovation notion is confirmed in the relative literature (Bartlett 2013). The eco-innovation concept is also recalled as “sustainable innovation,” because the role of technological progress sustainability represents an important achievement in a context of finite natural resources. According to Pezzey (1997), innovation is defined sustainable when the innovative system leads to a consumption of the current generation similar to that of future generations, on the basis of availability in the resources (Aldieri and Vinci 2020)