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When the smoke clears: expertise, learning and policy diffusion

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  • Shipan, Charles R.
  • Volden, Craig

Abstract

In federal systems, governments have the opportunity to learn from the policy experiments – and the potential successes – of other governments. Whether they seize such opportunities, however, may depend on the expertise or past experiences of policymakers. Based on an analysis of state-level adoptions of antismoking restrictions targeted towards youths, we find that US states are more likely to emulate other states that have demonstrated the ability to successfully limit youth smoking. In addition, we find that political expertise (as captured by legislative professionalism) and policy expertise (as captured by previous youth access policy experiments at the local level) enhance the likelihood of emulating policy successes found in other states. As such, we establish that internal expertise and external learning are complements, rather than substitutes.

Suggested Citation

  • Shipan, Charles R. & Volden, Craig, 2014. "When the smoke clears: expertise, learning and policy diffusion," Journal of Public Policy, Cambridge University Press, vol. 34(3), pages 357-387, December.
  • Handle: RePEc:cup:jnlpup:v:34:y:2014:i:03:p:357-387_00
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    Cited by:

    1. Klein, Gordon & Wendel, Julia, 2014. "Innovation in European telecommunication regulation: The diffusion of regulatory remedies," 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet - Emerging Markets and Policies 106862, International Telecommunications Society (ITS).
    2. Daniel S. Feinberg, 2021. "What factors predict the quality of hazard mitigation plans in Washington State?," Climatic Change, Springer, vol. 164(1), pages 1-29, January.
    3. Deserai A. Crow & Rob A. DeLeo & Elizabeth A. Albright & Kristin Taylor & Tom Birkland & Manli Zhang & Elizabeth Koebele & Nathan Jeschke & Elizabeth A. Shanahan & Caleb Cage, 2023. "Policy learning and change during crisis: COVID‐19 policy responses across six states," Review of Policy Research, Policy Studies Organization, vol. 40(1), pages 10-35, January.
    4. Wendel, Julia, 2015. "Innovativeness of national regulatory authorities in EU telecommunications," 2015 Regional ITS Conference, Los Angeles 2015 146330, International Telecommunications Society (ITS).
    5. Fabrizio Gilardi & Charles R. Shipan & Bruno Wüest, 2021. "Policy Diffusion: The Issue‐Definition Stage," American Journal of Political Science, John Wiley & Sons, vol. 65(1), pages 21-35, January.
    6. Clark, Duncan A. & Macinko, James & Porfiri, Maurizio, 2022. "What factors drive state firearm law adoption? An application of exponential-family random graph models," Social Science & Medicine, Elsevier, vol. 305(C).
    7. Srinivas C. Parinandi, 2020. "Policy Inventing and Borrowing among State Legislatures," American Journal of Political Science, John Wiley & Sons, vol. 64(4), pages 852-868, October.
    8. Prysmakova, Palina, 2020. "Generation learning framework: Applying Margaret Mead's typology to agenda-setting stage of policy diffusion," Studia z Polityki Publicznej / Public Policy Studies, Warsaw School of Economics, vol. 7(2), pages 1-25, July.
    9. Million, Anthony J., 2017. "Bureaucratic organization and innovation: a mixed-methods study of US state department of transportation website adoption," Thesis Commons z6p3j, Center for Open Science.
    10. Adams, Ian T. & McCrain, Joshua & Schiff, Daniel S. & Schiff, Kaylyn Jackson & Mourtgos, Scott M., 2022. "Public Pressure or Peer Influence: What Shapes Police Executives' Views on Civilian Oversight?," SocArXiv mdu96, Center for Open Science.

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