The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Policy‐Induced Technology Adoption: Evidence from the U.S. Lead Phasedown
Open accessAbstract
Theory suggests that economic instruments, such as pollution taxes or tradable permits, can provide more efficient technology adoption incentives than conventional regulatory standards. We explore this issue for an important industry undergoing dramatic decreases in allowed pollution – the U.S. petroleum industry's phasedown of lead in gasoline. Using a duration model applied to a panel of refineries from 1971–1995, we find that the pattern of technology adoption is consistent with an economic response to market incentives, plant characteristics, and alternative policies. Importantly, evidence suggests that the tradable permit system used during the phasedown provided incentives for more efficient technology adoption decisions.
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.
Integrity signals
Registry
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.
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
Cites
Proportional hazards tests and diagnostics based on weighted residuals
GRAMBSCH, P. M., & THERNEAU, T. M. (1994) · Biometrika · doi:10.1093/biomet/81.3.515 · Cited by 5,885
Cited by
Popp, D. (2010) · Annual Review of Resource Economics · doi:10.1146/annurev.resource.012809.103929 · Cited by 217
The design of environmental markets: What have we learned from experience with cap and trade?
Schmalensee, R., & Stavins, R. N. (2017) · Oxford Review of Economic Policy · doi:10.1093/oxrep/grx040 · Cited by 207
Adopt or innovate: Understanding technological responses to cap-and-trade
Calel, R. (2020) · American Economic Journal: Economic Policy · doi:10.1257/pol.20180135 · Cited by 166
Endogenizing technological change: Matching empirical evidence to modeling needs
Pizer, W. A., & Popp, D. (2008) · Energy Economics · doi:10.1016/j.eneco.2008.02.006 · Cited by 149
Metadata
- Authors
- Kerr, S., & Newell, R. G.
- Venue
- The Journal of Industrial Economics
- Publisher
- Wiley
- Published
- 2003-09
- Volume
- 51
- Issue
- 3
- Pages
- 317-343
- ISSN
- 0022-1821 (ISSN-L)
- 1467-6451
- OpenAlex
- W3121869254
- Cited by
- 275
- References
- 1
- FWCI
- 25.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Policy‐Induced Technology Adoption: Evidence from the U.S. Lead Phasedown. https://app.cochat.ai/papers/10.1111/1467-6451.00203
- The paper
- Kerr, S., & Newell, R. G. (2003). Policy‐Induced Technology Adoption: Evidence from the U.S. Lead Phasedown. The Journal of Industrial Economics. https://doi.org/10.1111/1467-6451.00203
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.
