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Cited by 294

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Modeling endogenous technological change for climate policy analysis

Open access
Gillingham, Kenneth, Newell, Richard G., Pizer, William A.·2008·Energy Economics

Abstract

The approach used to model technological change in a climate policy model is a critical determinant of its results in terms of the time path of CO2 prices and costs required to achieve various emission reduction goals. We provide an overview of the different approaches used in the literature, with an emphasis on recent developments regarding endogenous technological change, research and development, and learning. Detailed examination sheds light on the salient features of each approach, including strengths, limitations, and policy implications. Key issues include proper accounting for the opportunity costs of climate-related knowledge generation, treatment of knowledge spillovers and appropriability, and the empirical basis for parameterizing technological relationships. No single approach appears to dominate on all these dimensions, and different approaches may be preferred depending on the purpose of the analysis, be it positive or normative.

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Crossref · 10.1016/j.eneco.2008.03.001

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Metadata

Authors
Gillingham, K., Newell, R. G., & Pizer, W. A.
Venue
Energy Economics
Publisher
Elsevier BV
Published
2008-11
Volume
30
Issue
6
Pages
2734-2753
ISSN
0140-9883 (ISSN-L)
OpenAlex
W2128846935
Cited by
294
References
88
FWCI
49.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Modeling endogenous technological change for climate policy analysis. https://app.cochat.ai/papers/10.1016/j.eneco.2008.03.001
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Gillingham, K., Newell, R. G., & Pizer, W. A. (2008). Modeling endogenous technological change for climate policy analysis. Energy Economics. https://doi.org/10.1016/j.eneco.2008.03.001

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.