The Determinants of Invention in Electricity Generation Technologies

This paper analyses the determinants of invention in efficiency-enhancing electricity generation technologies that have the potential to facilitate climate change mitigation efforts, including fossil fuelbased technologies aimed at reducing carbon emissions, renewables and nuclear technologies. The evolution of inventive activity in these technologies is analysed by considering patent data for 11 OECD countries over the period 1978-2008. The analysis considers various drivers of inventive activity, including R&D expenditures and electricity consumption, but pay particular attention to the role of fossil fuel prices because they suggest the impact that price mechanisms such as emissions trading and carbon taxes are likely to have on invention in the electricity generation sector. The results show that the effect of fossil fuel prices varies according to the different types of technologies. As fossil fuel prices increase, inventive activity in renewable energy technologies increases while the effect of on fossil fuel-based technologies is positive but with decreasing increments. The results show that there is no effect of fossil fuel prices on patenting activity in nuclear energy technologies. These results illustrate that there may be a price-induced switching between renewable and fossil fuel-based technologies. As fossil fuel prices rise, an efficiency effect encourages inventive activity in both fossil fuelbased and renewable technologies. As fossil fuel prices increase further, invention in fossil fuel-based technologies starts declining suggesting that a substitution effect drives away innovation from fossil fuelbased towards renewable energy technologies.

[1]  Cees Withagen,et al.  Innovation and Environmental Stringency: The Case of Sulfur Dioxide Abatement , 2005 .

[2]  Bruno Van Pottelsberghe,et al.  Using patent counts for cross-country comparisons of technology output , 2001 .

[3]  P. Schmidt,et al.  Limited-Dependent and Qualitative Variables in Econometrics. , 1984 .

[4]  Elena Verdolini,et al.  Efficiency Improving Fossil Fuel Technologies for Electricity Generation: Data Selection and Trends , 2011 .

[5]  Bruno van Pottelsberghe de la Potterie,et al.  Applications, grants and the value of patent , 2000 .

[6]  P. Aghion,et al.  The Environment and Directed Technical Change , 2009, The American economic review.

[7]  Jeffrey M. Woodbridge.  Econometric Analysis of Cross Section and Panel Data , 2002 .

[8]  D. Kammen,et al.  U.S. energy research and development: Declining investment, increasing need, and the feasibility of expansion , 2007 .

[9]  Adam B. Jaffe,et al.  Environmental Regulation and Innovation: A Panel Data Study , 1996, Review of Economics and Statistics.

[10]  Z. Griliches,et al.  Econometric Models for Count Data with an Application to the Patents-R&D Relationship , 1984 .

[11]  D. Popp,et al.  Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts , 2008 .

[12]  David Popp,et al.  International Innovation and Diffusion of Air Pollution Control Technologies: The Effects of Nox and So2 Regulation in the Us, Japan, and Germany , 2004 .

[13]  I. Wing.  Induced Technological Change: Firm Innovatory Responses to Environmental Regulation , 2006 .

[14]  G. M. El-Sayyad,et al.  Bayesian and Classical Analysis of Poisson Regression , 1973 .

[15]  Pravin K. Trivedi,et al.  Regression Analysis of Count Data , 1998 .

[16]  Z. Griliches,et al.  Citations, Family Size, Opposition and the Value of Patent Rights Have Profited from Comments and Suggestions , 2002 .

[17]  Zvi Griliches,et al.  R&D, Patents, and Productivity , 1981 .

[18]  David Popp,et al.  Induced Innovation and Energy Prices , 2001 .

[19]  Jeffrey M. Wooldridge,et al.  Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data , 2003 .

[20]  A. Cameron,et al.  Econometric models based on count data. Comparisons and applications of some estimators and tests , 1986 .

[21]  J. T. Wulu,et al.  Regression analysis of count data , 2002 .

[22]  Ashoka Mody,et al.  Innovation and the international diffusion of environmentally responsive technology , 1996 .