The DOI matches its Crossref record; 60 of the 63 references it cites were found in a registry or an index.
The Mechanisms of Policy Diffusion
Abstract
Local policy adoptions provide an excellent opportunity to test among potential mechanisms of policy diffusion. By examining three types of antismoking policy choices by the 675 largest U.S. cities between 1975 and 2000, we uncover robust patterns of policy diffusion, yielding three key findings. First, we distinguish among and find evidence for four mechanisms of policy diffusion: learning from earlier adopters, economic competition among proximate cities, imitation of larger cities, and coercion by state governments. Second, we find a temporal component to these effects, with imitation being a more short‐lived diffusion process than the others. Third, we show that these mechanisms are conditional, with larger cities being better able to learn from others, less fearful of economic spillovers, and less likely to rely on imitation .
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
Agendas and instability in American politics
(1993) · Choice Reviews Online · doi:10.5860/choice.31-0574 · Cited by 5,943
Taking Time Seriously: Time-Series-Cross-Section Analysis with a Binary Dependent Variable
Beck, N. L., Katz, J. N., & Tucker, R. P. (1998) · American Journal of Political Science · doi:10.2307/2991857 · Cited by 2,443
Sullivan, L. E. (2009) · The SAGE Glossary of the Social and Behavioral Sciences · doi:10.4135/9781412972024.n747 · Cited by 2,442
The Diffusion of Innovations among the American States
Walker, J. L. (1969) · American Political Science Review · doi:10.1017/s0003055400258644 · Cited by 2,357
The Evolution of E‐Government among Municipalities: Rhetoric or Reality?
Moon, M. J. (2002) · Public Administration Review · doi:10.1111/0033-3352.00196 · Cited by 1,984
Regression analysis of multivariate incomplete failure time data by modeling marginal distributions
Wei, L. J., Lin, D. Y., & Weissfeld, L. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478873 · Cited by 1,868
Hinkemeyer, M. T. (1971) · The Clearing House A Journal of Educational Strategies Issues and Ideas · doi:10.1080/00098655.1971.11478291 · Cited by 1,852
State Lottery Adoptions as Policy Innovations: An Event History Analysis
Berry, F. S., & Berry, W. D. (1990) · American Political Science Review · doi:10.2307/1963526 · Cited by 1,689
Measuring Citizen and Government Ideology in the American States, 1960-93
Berry, W. D., Ringquist, E. J., Fording, R. C., & Hanson, R. L. (1998) · American Journal of Political Science · doi:10.2307/2991759 · Cited by 1,593
Peterson, P. E. (1981) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226922645.001.0001 · Cited by 1,589
Research works printed but not linked: 9
- Brandeis Louis Dembitz, 1932, Dissenting Opinion, New State Ice Co. v. Liebmann
- Chriqui Jamie F., 2000, Restricting Minors' Access to Tobacco Products: An Examination of State Legislation and Policy Innovation
- 10.1001/jama.273.10.805 · DOI
- 10.2307/2575080 · DOI
- Peterson Paul E., 1990, Welfare Magnets: A New Case for a National Standard
- Purlee Scott, 1995, Driving Influences: Operators Now Use Travel Time to Tally Potential Customers, Restaurants and Institutions, 105, 33
- 10.1002/j.2325-8012.2004.tb00605.x · DOI
- Tanyeri Dana, 2007, So Who Is Your Customer Anyway?, Restaurant Business, 106, 26
- 10.2307/1954434 · DOI
Cited by
Sorted by citations
HTUN, M., & WELDON, S. L. (2012) · American Political Science Review · doi:10.1017/s0003055412000226 · Cited by 652
Transfer and translation of policy
Stone, D. (2012) · Policy Studies · doi:10.1080/01442872.2012.695933 · Cited by 651
Liang, F., Das, V., Kostyuk, N., & Hussain, M. M. (2018) · Policy & Internet · doi:10.1002/poi3.183 · Cited by 617
Who Learns from What in Policy Diffusion Processes?
Gilardi, F. (2010) · American Journal of Political Science · doi:10.1111/j.1540-5907.2010.00452.x · Cited by 578
Policy Diffusion: Seven Lessons for Scholars and Practitioners
Shipan, C. R., & Volden, C. (2012) · Public Administration Review · doi:10.1111/j.1540-6210.2012.02610.x · Cited by 540
Self-citation
Metadata
- Authors
- Shipan, C. R., & Volden, C.
- Affiliations
- University of Michigan (US)
- The Ohio State University (US)
- Corresponding author
- Shipan, Charles R.
- Volden, Craig
- Venue
- American Journal of Political Science
- Publisher
- Wiley
- Published
- 2008-09-29
- Volume
- 52
- Issue
- 4
- Pages
- 840-857
- ISSN
- 0092-5853 (ISSN-L)
- 1540-5907
- OpenAlex
- W1986486185
- Cited by
- 1,369
- References
- 63
- Citations by year
- 2026: 133 · 2025: 114 · 2024: 103 · 2023: 104 · 2022: 94 · 2021: 130 · 2020: 94 · 2019: 96 · 2018: 69 · 2017: 68 · 2016: 75 · 2015: 81 · 2014: 57 · 2013: 40 · 2012: 40
- FWCI
- 142.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Political Science (publishedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Policy Transfer and Learning
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Keywords
- policy diffusion, anti-smoking policy, smoking bans, cities, market competition, imitation, state coercion, city size, diffusion mechanism
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