TY - JOUR
T1 - Lessons from patents
T2 - Using patents to measure technological change in environmental models
AU - Popp, David
N1 - Funding Information:
The author thanks Robert Stavins, Ian Sue Wing, three referees and the editors for comments on earlier drafts. Remaining errors are the responsibility of the author. At various stages of this research, Brant Brown, Yixin Dai, Neelakshi Medhi, and Janna Matlack provided valuable research assistance. Financial support for the works cited within provided by DOE grant 593A3140217 and National Science Foundation grant SES-0001679.
PY - 2005/8/1
Y1 - 2005/8/1
N2 - When studying solutions to long-term environmental problems such as climate change, it is important to consider the role that technological change may play. Nonetheless, to date few economic models of environmental policy explicitly model the link between policy and technological change. There is a growing body of evidence that the incentives offered by prices and environmental regulations have a strong influence on both the creation and adoption of new technologies. In several recent papers, I have used patent data to examine the links between environmental policy and technological change. In addition, I have used the results of this research to calibrate the ENTICE model (for ENdogenous Technological change) of climate change, which links energy-related R&D to changes in the price of carbon. Drawing on my experiences from empirical studies on innovation and from modeling the climate change problem, in this paper I review some of the key lessons from recent empirical work using patents to study environmental innovation and diffusion, and discuss its implications for modeling climate change policy. I conclude by offering suggestions for future research.
AB - When studying solutions to long-term environmental problems such as climate change, it is important to consider the role that technological change may play. Nonetheless, to date few economic models of environmental policy explicitly model the link between policy and technological change. There is a growing body of evidence that the incentives offered by prices and environmental regulations have a strong influence on both the creation and adoption of new technologies. In several recent papers, I have used patent data to examine the links between environmental policy and technological change. In addition, I have used the results of this research to calibrate the ENTICE model (for ENdogenous Technological change) of climate change, which links energy-related R&D to changes in the price of carbon. Drawing on my experiences from empirical studies on innovation and from modeling the climate change problem, in this paper I review some of the key lessons from recent empirical work using patents to study environmental innovation and diffusion, and discuss its implications for modeling climate change policy. I conclude by offering suggestions for future research.
KW - Climate change
KW - Environmental policy
KW - Induced technological change
KW - Innovation
KW - Patents
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U2 - 10.1016/j.ecolecon.2005.01.001
DO - 10.1016/j.ecolecon.2005.01.001
M3 - Article
AN - SCOPUS:22544475038
SN - 0921-8009
VL - 54
SP - 209
EP - 226
JO - Ecological Economics
JF - Ecological Economics
IS - 2-3
ER -