The Dynamics of Carbon and Energy Intensity in a Model of Endogenous Technical Change

In recent years, a large number of papers have explored different attempts to endogenise technical change in climate models. This recent literature has emphasized that four factors Ð two inputs and two outputs Ð should play a major role when modeling technical change in climate models. The two inputs are R&D investments and Learning by Doing, the two outputs are energy-saving and fuel switching. Indeed, R&D investments and Learning by Doing are the main drivers of a climate-friendly technical change that eventually affect both energy intensity and fuel-mix. In this paper, we present and discuss an extension of the FEEM-RICE model in which these four factors are explicitly accounted for. In our new specification of endogenous technical change, an index of energy technical change depends on both Learning by Researching and Learning by Doing. This index enters the equations defining energy intensity (i.e. the amount of carbon energy required to produce one unit of output) and carbon intensity (i.e. the level of carbonization of primarily used fuels). This new specification is embodied in the RICE 99 integrated assessment climate model and then used to generate a baseline scenario and to analyze the relationship between climate policy and technical change. Sensitivity analysis is performed on different key parameters of the energy module in order to obtain crucial insights into the relative importance of the main channels through which technological changes affects the impact of human activities on climate.

[1]  William D. Nordhaus,et al.  Modeling Induced Innovation in Climate Change Policy , 2002 .

[2]  Stelios Kafandaris,et al.  Buying Greenhouse Insurance: The Economic Costs of CO2 Emission Limits , 1992 .

[3]  Socrates Kypreos,et al.  Multi-regional technological learning in the energysystems MARKAL model , 2002 .

[4]  S. Messner,et al.  Endogenized technological learning in an energy systems model , 1997 .

[5]  Marzio Galeotti,et al.  Endogenous Induced Technical Change and the Costs of Kyoto , 2001 .

[6]  Raymond T. Pierrehumbert,et al.  Warming the world , 2004, Nature.

[7]  Leo Schrattenholzer,et al.  Endogenous Technological Change in Energy Systems Models: Synthesis of Experience with ERIS, MARKAL, and MESSAGE , 1998 .

[8]  David Popp,et al.  Entice-Br: The Effects of Backstop Technology R&D on Climate Policy Models , 2004 .

[9]  A. Alberini.  Robustness of Vsl Values from Contingent Valuation Surveys , 2004 .

[10]  Christian Egenhofer,et al.  Working Paper 1: Market-based Options for Security of Energy Supply , 2004 .

[11]  Claudia Kemfert,et al.  Induced Technological Change in a Multi-regional, Multi-sectoral Integrated Assessment Model (WIAGEM): Impact Assessment of Climate Policy Strategies , 2005 .

[12]  Valentina Bosetti,et al.  How consistent are alternative short-term climate policies with long-term goals? , 2004 .

[13]  Alexei G. Sankovski,et al.  Special report on emissions scenarios , 2000 .

[14]  A. Manne,et al.  US rejection of the Kyoto Protocol: the impact on compliance costs and CO2 emissions , 2004 .

[15]  C. Carraro,et al.  Firms, Governments and Climate Policy: Incentive-Based Policies for Long-Term Climate Change , 2003 .

[16]  L. Schrattenholzer,et al.  Endogenous technological change in climate change modelling , 1999 .

[17]  C. Carraro,et al.  Efficiency and Equity of Emissions Trading with Endogenous Environmental Technical Change , 2000 .

[18]  Marzio Galeotti,et al.  Environment and Economic Growth: Is Technical Change the Key to Decoupling? , 2003 .

[19]  Bob van der Zwaan,et al.  A Sensitivity Analysis of Timing and Costs of Greenhouse Gas Emission Reductions , 2004 .

[20]  Nebojsa Nakicenovic,et al.  Technological change and the environment , 2002 .

[21]  Marzio Galeotti,et al.  Learning by Doing Vs Learning by Researching in a Model of Climate Change Policy Analysis Learning by Doing Vs Learning by Researching in a Model of Climate Change Policy Analysis , 2003 .

[22]  Andreas Löschel,et al.  Technological Change in Economic Models of Environmental Policy: A Survey , 2002 .

[23]  A. Jaffe,et al.  Technological Change and the Environment , 2000 .

[24]  A. S. Manne.  ETA-MACRO: A user's guide , 1981 .

[25]  Rainer Marggraf,et al.  Valuation of Ecosystem Services Provided by Biodiversity Conservation: An Integrated Hydrological and Economic Model to Value the Enhanced Nitrogen Retention in Renaturated Streams , 2004 .

[26]  Marjan W. Hofkes,et al.  Impacts of CO2-Taxes in an Economy with Niche Markets and Learning-by-Doing , 2004 .

[27]  David Popp,et al.  Entice: Endogenous Technological Change in the Dice Model of Global Warming , 2003 .

[28]  Bob van der Zwaan,et al.  Gross world product and consumption in a global warming model with endogenous technological change , 2003 .

[29]  A. Cavaliere,et al.  Price Competition with Information Disparities in a Vertically Differentiated Duopoly , 2004 .

[30]  Marzio Galeotti,et al.  Does Endogenous Technical Change Make a Difference in Climate Policy Analysis? A Robustness Exercise with the Feem-Rice Model , 2004 .

[31]  Sergio Currarini,et al.  Coalition Formation in Games Without Synergies , 2004, IGTR.

[32]  C. Carraro,et al.  Traditional environmental instruments, Kyoto mechanisms and the role of technical change , 2003 .

[33]  William D. Nordhaus,et al.  A Regional Dynamic General-Equilibrium Model of Alternative Climate-Change Strategies , 1996 .

[34]  E. Cartwright.  Learning to Play Approximate Nash Equilibria in Games with Many Players , 2004 .

[35]  L. Goulder,et al.  Optimal Co2 Abatement in the Presence of Induced Technological Change , 1998 .

[36]  Socrates Kypreos,et al.  Endogenizing R&D and Market Experience in the "Bottom-Up" Energy-Systems ERIS Model , 2004 .

[37]  Alan S. Manne,et al.  Learn-by-doing and carbon dioxide abatement , 2004 .