Skip to main content
SpringerLink
Log in
Book cover

International Conference on Intelligent Human Systems Integration

IHSI 2019: Intelligent Human Systems Integration 2019 pp 478–483Cite as

An Agent-Based Model of Plastic Bags Ban Policy Diffusion in California

  • Conference paper
  • First Online:

  • 2828 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 903))

Abstract

This paper uses an agent-based model to study plastic bags ban policy adoption in California. By simulating the policy diffusion among counties in California with close-to-reality data, this study seeks to identify the mechanism of policy diffusion and interaction among individuals as well as counties and between individuals and counties. This work models each individual with his/her own attributes, including education, preference, and wealth. Individuals may either influence or be influenced by interacting with others based on preference difference from others. Preferences of individuals are also affected by neighboring counties’ preference changes, while aggregated individual preference change determines the policy adoption and the change of preference of counties. By understanding the mechanism of policy diffusion from interconnected multi-level interaction, this work insights applicable to different areas of policy diffusion.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Californians Against Waste: Single-Use Bags Ordinances in CA (2016). https://static1.squarespace.com/static/54d3a62be4b068e9347ca880/t/583f1f57e4fcb5d84205b330/1480531800415/LocalBagsOrdinances1Pager_072815.pdf

  2. Berry, F.S., Berry, W.D.: Innovation and diffusion models in policy research. In: Theories of the Policy Process, p. 169 (1999)

    Google Scholar 

  3. Rogers, E.M.: Diffusion of innovations. Simon and Schuster (2010)

    Google Scholar 

  4. Shipan, C.R., Volden, C.: The mechanisms of policy diffusion. Am. J. Polit. Sci. 52(4), 840–857 (2008)

    Article  Google Scholar 

  5. Volden, C., Ting, M.M., Carpenter, D.P.: A formal model of learning and policy diffusion. Am. Polit. Sci. Rev. 102(3), 319–332 (2008)

    Article  Google Scholar 

  6. Boehmke, F.J., Witmer, R.: Disentangling diffusion: the effects of social learning and economic competition on state policy innovation and expansion. Polit. Res. Q. 57(1), 39–51 (2004)

    Article  Google Scholar 

  7. Mooney, C.Z.: Modeling regional effects on state policy diffusions. Polit. Res. Q. 54(1), 103–124 (2001)

    Article  Google Scholar 

  8. Bennett, C.J.: What is policy convergence and what causes it? Br. J. Polit. Sci. 21(2), 215–233 (1991)

    Article  Google Scholar 

  9. Crain, R.L.: Fluoridation: the diffusion of an innovation among cities. Soc. Forces 44(4), 467–476 (1966)

    Article  Google Scholar 

  10. Rogers, E.M., Medina, U.E., Rivera, M.A., Wiley, C.J.: Complex adaptive systems and the diffusion of innovations. Innov. J.: Public Sector Innov. J. 10(3), 1–26 (2005)

    Google Scholar 

  11. Sherif, C.W., Sherif, M., Nebergall, R.E.: Attitude and Attitude Change: The Social Judgment-Involvement Approach. Greenwood Press, Westport (1981)

    Google Scholar 

  12. Griffin, E.M.: A first look at communication theory. McGraw-Hill, New York (2006)

    Google Scholar 

  13. Gilbert, N., Troitzsch, K.: Simulation for the social scientist. McGraw-Hill, New York (2005)

    Google Scholar 

  14. Bankes, S.C.: Agent-based modeling: a revolution? Proc. Nat. Acad. Sci. 99(suppl 3), 7199–7200 (2002)

    Article  Google Scholar 

  15. Railsback, S.F., Grimm, V.: Agent-based and individual-based modeling: a practical introduction. Princeton University Press, Princeton (2011)

    MATH  Google Scholar 

  16. Berry, B.J., Kiel, L.D., Elliott, E.: Adaptive agents, intelligence, and emergent human organization: capturing complexity through agent-based modeling. Proc. Natl. Acad. Sci. 99(suppl 3), 7187–7188 (2002)

    Article  Google Scholar 

  17. US Census Bureau (2017). https://www.census.gov/quickfacts/fact/table/TX,NV,WA,CA,OR/PST045216. Accessed 22 Nov 2017

Download references

Acknowledgements

The authors would like to acknowledge Mathew Gomes and Jingyu Wang for their contributions to previous policy diffusion ABM work.

Author information

Authors and Affiliations

  1. Claremont Graduate University, Claremont, USA

    Zining Yang & Sekwen Kim

Authors
  1. Zining Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sekwen Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zining Yang .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  2. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yang, Z., Kim, S. (2019). An Agent-Based Model of Plastic Bags Ban Policy Diffusion in California. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_72

Download citation

Publish with us

Policies and ethics

Search

Navigation