Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 266

The DOI matches its Crossref record.

Learning Effects and the Commercialization of New Energy Technologies: The Case of Nuclear Power

Open access
Zimmerman, Martin B.·1982·The Bell Journal of Economics

Abstract

Recently, attention has been focused on government policy toward commercialization of new energy technologies. Arguments are offered that in the early days of commercialization significant learning externalities that justify subsidy are present. Using nuclear power as a case study, this article estimates the learning effects actually present. The effect of experience on construction cost and on the accuracy of cost estimation is examined. External learning is separated from internalized learning about both construction cost and cost estimation. Finally, an estimate of the value of both kinds of learning externality is provided. The results suggest learning externalities were present, but had little effect on the rate of commercialization.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/3003455

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 266

Metadata

Authors
Zimmerman, M. B.
Venue
The Bell Journal of Economics
Publisher
JSTOR
Published
1982
Volume
13
Issue
2
Pages
297
ISSN
0361-915X (ISSN-L)
OpenAlex
W1588168387
Cited by
266
References
0
FWCI
7.51
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Learning Effects and the Commercialization of New Energy Technologies: The Case of Nuclear Power. https://app.cochat.ai/papers/10.2307/3003455
The paper
Zimmerman, M. B. (1982). Learning Effects and the Commercialization of New Energy Technologies: The Case of Nuclear Power. The Bell Journal of Economics. https://doi.org/10.2307/3003455

Data sources

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.