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Following neighbors or regional leaders? Unpacking the effect of geographic proximity in local climate policy diffusion

Author

Listed:
  • Brian Y. An

    (Georgia Institute of Technology)

  • Adam Butz

    (California State University, Long Beach)

  • Min-Kyeong Cha

    (Georgia Institute of Technology)

  • Joshua L. Mitchell

    (University of Arkansas)

Abstract

This study examines spatially dynamic diffusion processes of local policy adoption among municipal governments. Using city-level climate action plans (CAPs) adopted in the Southern California region during 2000-2018 as a study frame, our analysis unpacks spatial variations in the effects of geographic neighbors and regional leaders on local policy diffusion processes. We first argue that both factors will spur CAP diffusion among city governments. We then develop a novel hypothesis of a spatial moderating effect between these two influences. Specifically, we theorize that adjacent neighboring diffusion effects will be less prominent in the areas with nearby regional innovators, while neighboring effects will be more prominent in the absence of regional policy leadership. To examine this, we first use traditional event history and logistic regression analyses. We then investigate inter-city diffusion dynamics in greater detail with a novel geographically weighted regression (GWR) method that unravels regional variations in local diffusion effects. Our aggregate analysis finds that both geographic neighbors and regional leaders drive the diffusion of local CAP adoptions. The novel application of GWR further shows marked spatial variations within the region, suggesting that neighboring proximity-driven diffusion effects are muted by the influence of regional leaders. By spatially unpacking the effect of geographic proximity and regional leadership in policy diffusion, this study enhances our understanding of dynamic and varied diffusion processes.

Suggested Citation

  • Brian Y. An & Adam Butz & Min-Kyeong Cha & Joshua L. Mitchell, 2023. "Following neighbors or regional leaders? Unpacking the effect of geographic proximity in local climate policy diffusion," Policy Sciences, Springer;Society of Policy Sciences, vol. 56(4), pages 825-868, December.
    • Handle: RePEc:kap:policy:v:56:y:2023:i:4:d:10.1007_s11077-023-09499-1
    DOI: 10.1007/s11077-023-09499-1
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    1. Tausanovitch, Chris & Warshaw, Christopher, 2014. "Representation in Municipal Government," American Political Science Review, Cambridge University Press, vol. 108(3), pages 605-641, August.
    2. C. S. Wong & W. K. Li, 1998. "A note on the corrected Akaike information criterion for threshold autoregressive models," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(1), pages 113-124, January.
    3. Towns, Ann E., 2012. "Norms and Social Hierarchies: Understanding International Policy Diffusion “From Below”," International Organization, Cambridge University Press, vol. 66(2), pages 179-209, April.
    4. Berry, William D. & Baybeck, Brady, 2005. "Using Geographic Information Systems to Study Interstate Competition," American Political Science Review, Cambridge University Press, vol. 99(4), pages 505-519, November.
    5. Rebecca Bromley-Trujillo & J. S. Butler & John Poe & Whitney Davis, 2016. "The Spreading of Innovation: State Adoptions of Energy and Climate Change Policy," Review of Policy Research, Policy Studies Organization, vol. 33(5), pages 544-565, September.
    6. Gray, Virginia, 1973. "Innovation in the States: A Diffusion Study," American Political Science Review, Cambridge University Press, vol. 67(4), pages 1174-1185, December.
    7. Youlang Zhang & Xufeng Zhu, 2019. "Multiple mechanisms of policy diffusion in China," Public Management Review, Taylor & Francis Journals, vol. 21(4), pages 495-514, April.
    8. Joshua L. Mitchell, 2016. "Examining media markets’ influence on the diffusion of antismoking legislation in US counties," Local Government Studies, Taylor & Francis Journals, vol. 42(5), pages 665-688, September.
    9. Shu-hen Chiang, 2018. "Assessing the Merits of the Urban-Led Policy in China: Spread or Backwash Effect?," Sustainability, MDPI, vol. 10(2), pages 1-14, February.
    10. Anping Chen & Mark D. Partridge, 2013. "When are Cities Engines of Growth in China? Spread and Backwash Effects across the Urban Hierarchy," Regional Studies, Taylor & Francis Journals, vol. 47(8), pages 1313-1331, September.
    11. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    12. Simmons, Beth A. & Elkins, Zachary, 2004. "The Globalization of Liberalization: Policy Diffusion in the International Political Economy," American Political Science Review, Cambridge University Press, vol. 98(1), pages 171-189, February.
    13. Charles R. Shipan & Craig Volden, 2006. "Bottom‐Up Federalism: The Diffusion of Antismoking Policies from U.S. Cities to States," American Journal of Political Science, John Wiley & Sons, vol. 50(4), pages 825-843, October.
    14. Monstadt, Jochen & Wolff, Annika, 2015. "Energy transition or incremental change? Green policy agendas and the adaptability of the urban energy regime in Los Angeles," Energy Policy, Elsevier, vol. 78(C), pages 213-224.
    15. Kern, Kristine & Eckersley, Peter & Haupt, Wolfgang, 2023. "Diffusion and upscaling of municipal climate mitigation and adaptation strategies in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(1), pages 1-12.
    16. Hyunjung Ji & Mark Patrick Tate, 2021. "Spillover effects of central cities on sustainability efforts in a metropolitan area," Policy Sciences, Springer;Society of Policy Sciences, vol. 54(1), pages 95-121, March.
    17. Desmarais, Bruce A. & Harden, Jeffrey J. & Boehmke, Frederick J., 2015. "Persistent Policy Pathways: Inferring Diffusion Networks in the American States," American Political Science Review, Cambridge University Press, vol. 109(2), pages 392-406, May.
    18. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    19. Zachary Elkins & Beth Simmons, 2005. "On Waves, Clusters, and Diffusion: A Conceptual Framework," The ANNALS of the American Academy of Political and Social Science, , vol. 598(1), pages 33-51, March.
    20. Charles R. Shipan & Craig Volden, 2008. "The Mechanisms of Policy Diffusion," American Journal of Political Science, John Wiley & Sons, vol. 52(4), pages 840-857, October.
    21. Fabrizio Gilardi, 2010. "Who Learns from What in Policy Diffusion Processes?," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 650-666, July.
    22. Daniel C. Matisoff, 2008. "The Adoption of State Climate Change Policies and Renewable Portfolio Standards: Regional Diffusion or Internal Determinants?," Review of Policy Research, Policy Studies Organization, vol. 25(6), pages 527-546, December.
    23. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    24. Linda Shi & Eric Chu & Jessica Debats, 2015. "Explaining Progress in Climate Adaptation Planning Across 156 U.S. Municipalities," Journal of the American Planning Association, Taylor & Francis Journals, vol. 81(3), pages 191-202, July.
    25. Butts, Carter T., 2008. "Social Network Analysis with sna," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i06).
    26. Berry, Frances Stokes & Berry, William D., 1990. "State Lottery Adoptions as Policy Innovations: An Event History Analysis," American Political Science Review, Cambridge University Press, vol. 84(2), pages 395-415, June.
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