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Innovation in Electric and Hybrid Vehicle Technologies: The Role of Prices, Standards and R&D Presentation by Nick Johnstone and Ivan Haščič (www.oecd.org/environment/innovation) at Joint IEA‐GHG‐TransPoRD workshop GHG‐TransPoRD ‐ Reducing greenhouse‐gas emissions of transport beyond 2020: linking R&D, transport policies and reduction targets June 17+18th 2010, IEA, Paris Introduction • Major benefits of alternative fuel vehicles (AFVs): – Local/regional air quality (NOx, CO, HC, soot, sulphur, lead) – Climate change – Energy security • Background: – Early efforts to improve “engine design” (fuel injection, etc.) • Control of local air pollutant emissions (catalysts, etc.) – Later efforts to improve “vehicle design” (aerodynamics, etc.) – More recently, alternative propulsion & fuel (electric, hybrid, etc.) Use of Patents as a Measure of ‘Environmental’ Innovation • Identification of distinct fields of ‘environmental’ technology – “Output” measure of innovation (unlike R&D expenditures or scientific personnel) – Possible to identify relevant inventions – approximately 70,000 different technology classifications in the WIPO IPC scheme (www.wipo.org ) and over 150,000 in the EPO’s ECLA system – Application-based - and thus broad population of potentially relevant classes (preferable to commodity or sectoral classifications) – Through use of EPO/OECD PATSTAT database access to data from over 80 offices ( > 80 million documents) – Able to control for ‘quality’ by only including inventions with wide market appeal Innovation in Climate Change Mitigation Technologies 11 Patenting activity in Annex I ratification countries (3-year moving average, indexed on 1990=1.0) 10 9 8 7 Wind power 6 Fuel cells 5 Electric/hybrid cars Lighting EE 4 Solar PV 3 Buildings EE 2 All tech. sectors 1 0 1997 - Kyoto Protocol Note: Counts are measured in terms of ‘claimed priorities’ worldwide, shown as 3-year moving average, indexed to 1990=1.0. See ENV/EPOC/WPNEP(2009)1/FINAL for methodology. Based on data extracted from EPO/OECD Worldwide Patent Statistical Database (PATSTAT) using search algorithms developed by the OECD (www.oecd.org/environment/innovation). Source: Johnstone et al. “Climate Policy and Technological Innovation ant Transfer” ENV/EPOC/GSP(2010)10) Innovation Trends (Patenting in motor vehicle technologies; change from 1990) 7,0 6,0 5,0 4,0 3,0 2,0 1,0 0,0 Counts are measured in terms of ‘claimed priorities’ worldwide, shown as 3-year moving average, indexed to 1990=1.0. See ENV/EPOC/WPNEP(2009)1/FINAL for methodology (www.oecd.org/environment/innovation). Based on data extracted from the EPO Worldwide Patent Statistics Database (PATSTAT) using search algorithms developed by the OECD. Innovation Trends (Patenting in motor vehicle technologies; 2000-2006) Engine and vehicle design not directly related to fuel efficiency, 69% Hybrid propulsion 35% Electric propulsion 46% Fuel cells 6% Electricity storage 11% Gaseous 0.3% Force of nature 0.5% Counts are measured in terms of ‘claimed priorities’ worldwide. See ENV/EPOC/WPNEP(2009)1/FINAL for methodology (www.oecd.org/environment/innovation). Based on data extracted from the EPO Worldwide Patent Statistics Database (PATSTAT) using search algorithms developed by the OECD. Inventing Countries in AFV (Patenting in AFV technologies; change from 1990) The line graph shows counts as 3-year moving average, indexed to 1990=1.0 (1992 for Korea due to low base in previous years). The pie chart shows shares for the period 2000-2006. Counts are measured in terms of ‘claimed priorities’ worldwide. See ENV/EPOC/WPNEP(2009)1/FINAL for methodology (www.oecd.org/environment/innovation). Based on data extracted from EPO Worldwide Patent Statistics Database (PATSTAT) using search algorithms developed by the OECD. Government Policies & Measures • Market failures and barriers which affect markets for AFVs, incl.: – Environmental externalities (local/regional, GHGs) – Network effects and monopoly conditions (infrastructure) – Consumption externalities (slow ‘uptake’ of innovations) – Capital market failures (limited financing for high-risk investment) • Instrument types – Direct R&D support (public funding, fiscal incentives, prizes) – Performance standards (portfolio obligations) – Pricing (fuel taxes, vehicle tax differentiation) – Information-based measures (labels) – Demonstration projects, public procurement – Investment in infrastructure Public R&D Funding: 2004-2008 (% of Total Energy Technology R&D Public Budgets) Source of data: OECDSTAT (http://stats.oecd.org) IEA Energy Technology R&D Budgets. What is Driving Innovation in AFV Vehicles? The histogram shows empirical estimates of elasticities, evaluated at sample means, and normalized in terms of the effect of “public R&D spending” (R&D=1.0). Estimates shown without fill are not statistically significant at the 5% level. Conclusions and Policy Implications • Optimal mix of policies: – Address the different market failures (that is, cover the whole range from development to diffusion of innovations) • Design policies that have the potential to: – ‘Force’ technology development (policy stringency) – Induce ‘radical’ innovations (depth of incentives) – Allow a spectrum of technological responses (policy flexibility) – Maintain continuous commitment to the policy objective (policy predictability) Next Steps • Further development of estimation of ‘storage’ technologies with wide applicability • Development of policy implications: trade-off between flexiblity of policy vs. benefits/risks of targeting Mitigation in transportation Policy flexibility Information requirements, risk & uncertainty Directed R&D: How to avoid having to ‘pick’ winners Alternative fuels Hydrogen Propulsion (battery, hydrogen, flywheels, ultra-capacitors) IC engine Electric engine Fuel cells Vehicle design - Inertia - Friction - Light-weighting - Aerodynamics - Rolling resistance Energy storage Propulsion IC engine Conventional fuels Battery powered Gasoline Diesel LNG, LPG