doi:10.1016/j.eneco.2006.05.007
Copyright © 2006 Elsevier B.V. All rights reserved.
Innovation in climate policy models: Implementing lessons from the economics of R&D
aDepartment of Public Administration, Center for Policy Research, The Maxwell School, Syracuse University, 426 Eggers Hall, Syracuse, NY 13244-1020, USA
bFaculty Research Fellow, National Bureau of Economic Research, USA
Available online 19 June 2006.
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Abstract
Only recently have economists considered the effect of induced innovation in climate policy models. One reason is that, until recently, empirical evidence of the magnitude of such effects was unavailable. Drawing on my experiences with empirical studies on innovation and from modeling the climate change problem, in this paper, I present key lessons from the empirical literature on innovation and environmental policy, and discuss how much of the variation in results found in the modeling literature can be explained by differences in implementing (or failing to implement) these lessons into climate models. The paper concludes with a discussion of future research needs, focusing on a framework for improving the modeling of technology diffusion in climate change models.
Keywords: Induced innovation; Climate change; R&D; Energy patents
Fig. 1. Induced innovation and energy prices. Source: Popp (2002).
Fig. 2. Welfare gains over time in the ENTICE model. Source: Popp (2004). The figure shows the cumulative gains in welfare from an optimal carbon tax. Note that welfare in the induced innovation is initially lower than exogenous R&D, but that induced innovation leads to larger long-run improvements than in a simulation with exogenous technological change.
Fig. 3. Theoretical framework. This figure presents a schematic of a theoretical framework for linking knowledge flows to diffusion. The figure considers the decision of a firm to adopt a new environmental technology. In the diagram, boxes represent endogenous variables chosen by firms and circles represent exogenous variables. Solid lines represent linkages well-established in the literature. Broken lines are links that are less established.
Table 1.
Induced innovation and the elasticity of energy consumption

Source: Popp (2001).
The table shows the short-run breakdown in the effects on energy consumption from a change in energy prices. The elasticity of energy use with respect to induced innovation is the percent change in energy consumption resulting from the new technologies induced by a 1% change in energy prices. The elasticity of energy use with respect to price is the change in energy consumption resulting from factor substitution. Column three shows the total effect of a change in energy prices. It is the sum of the elasticities in columns 1 and 2. Column 4 presents the percentage of the total elasticity that is due to induced innovation. Finally, column 5 gives the elasticity of energy with respect to price from a regression that excludes the knowledge stocks, so that only a time trend is used to capture technological change. Note that these elasticities are comparable to the combined elasticities presented in column 3.