IDEAS home Printed from https://ideas.repec.org/a/bla/rmgtin/v20y2017i3p363-390.html
   My bibliography  Save this article

Demonstrating the Intensive Benefit to the Local Implementation of a Statewide Building Code

Author

Listed:
  • Jeffrey Czajkowski
  • Kevin M. Simmons
  • James M. Done

Abstract

Ultimately, risk reduction from the implementation of building codes is due to not only the extent of the code as it applies to new construction, but also to the intensity of local adoption and enforcement. It is normally an open question as to how well a code is maintained and enforced at the local level, even for a relatively strong adopted statewide code such as the Florida Building Code. We test the importance of the intensity of building code implementation at the local level for reducing Florida windstorm losses by utilizing Building Code Effectiveness Grading Schedule (BCEGS®) rating data. BCEGS ratings provide a joint assessment of local building code effectiveness in terms of the strength of the adopted codes in addition to how well these adopted codes are enforced. We find that both components provide value in reducing windstorm losses in Florida, with the extent of the statewide code being the dominant effect reducing losses on the order of 72 percent. Although not as substantial in terms of its loss reduction magnitude, intensively implementing building codes at the local level by ensuring codes are properly administered and enforced at this scale provides additional loss reduction value on the order of 15–25 percent. Understanding the relative value of these two implementation components is important to better inform building code policy and enforcement efforts given continuously updated codes.

Suggested Citation

  • Jeffrey Czajkowski & Kevin M. Simmons & James M. Done, 2017. "Demonstrating the Intensive Benefit to the Local Implementation of a Statewide Building Code," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 20(3), pages 363-390, December.
  • Handle: RePEc:bla:rmgtin:v:20:y:2017:i:3:p:363-390
    DOI: 10.1111/rmir.12086
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rmir.12086
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rmir.12086?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Carolyn A. Dehring & Martin Halek, 2013. "Coastal Building Codes and Hurricane Damage," Land Economics, University of Wisconsin Press, vol. 89(4), pages 597-613.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. James Done & Greg Holland & Cindy Bruyère & L. Leung & Asuka Suzuki-Parker, 2015. "Modeling high-impact weather and climate: lessons from a tropical cyclone perspective," Climatic Change, Springer, vol. 129(3), pages 381-395, April.
    5. Jeffrey Czajkowski & Kevin M. Simmons, 2014. "Convective Storm Vulnerability: Quantifying the Role of Effective and Well-Enforced Building Codes in Minimizing Missouri Hail Property Damage," Land Economics, University of Wisconsin Press, vol. 90(3), pages 482-508.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kevin M. Simmons & Jeffrey Czajkowski & James M. Done, 2019. "Building code economic performance under variable wind risk," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(2), pages 235-258, February.
    2. Sandra Müllbacher & Wolfgang Nagl, 2017. "Labour supply in Austria: an assessment of recent developments and the effects of a tax reform," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 465-486, August.
    3. Miyoshi, Koyo, 2008. "Male-female wage differentials in Japan," Japan and the World Economy, Elsevier, vol. 20(4), pages 479-496, December.
    4. Hans A. Holter & Dirk Krueger & Serhiy Stepanchuk, 2019. "How do tax progressivity and household heterogeneity affect Laffer curves?," Quantitative Economics, Econometric Society, vol. 10(4), pages 1317-1356, November.
    5. Chen, Yuanyuan & Feng, Shuaizhang & Han, Yujie, 2020. "The effect of primary school type on the high school opportunities of migrant children in China," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 325-338.
    6. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2014. "Innovation and Productivity in Services: Evidence from Germany, Ireland and the United Kingdom," JRC Working Papers on Corporate R&D and Innovation 2014-04, Joint Research Centre.
    7. Asaduzzaman, M. & Anik, Asif Reza, 2017. "Determinants of Adoption of Rice Yield Gap Minimisation Technology in Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 40(1-2), pages 73-96, March-Jun.
    8. Fernandes, Marcelo & Mergulhão, João, 2016. "Anticipatory effects in the FTSE 100 index revisions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 79-90.
    9. Thomas B. King, 2008. "Discipline and Liquidity in the Interbank Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 295-317, March.
    10. Renuka Sane & Susan Thomas, 2020. "From Participation To Repurchase: Low Income Households And Micro‐insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(3), pages 783-814, September.
    11. Michael Ziegelmeyer & Julius Nick, 2013. "Backing out of private pension provision: lessons from Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(3), pages 505-539, August.
    12. Francesco Gangi & Mario Mustilli & Nicola Varrone & Lucia Michela Daniele, 2018. "Corporate Social Responsibility and Banks’ Financial Performance," International Business Research, Canadian Center of Science and Education, vol. 11(10), pages 42-58, October.
    13. Yuen Leng Chow & Isa E. Hafalir & Abdullah Yavas, 2015. "Auction versus Negotiated Sale: Evidence from Real Estate Sales," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 432-470, June.
    14. Watanabe, Hajime & Maruyama, Takuya, 2024. "A Bayesian sample selection model with a binary outcome for handling residential self-selection in individual car ownership," Journal of choice modelling, Elsevier, vol. 51(C).
    15. Xavier Ramos Morilla & Josep Lluís Raymond Bara & Josep Oliver Alonso, 1999. "Not All University Degrees Yield the Same Return: Private and Social Returns to Higher Education for Males in Spain," Working Papers wpdea9904, Department of Applied Economics at Universitat Autonoma of Barcelona.
    16. P.W. Miller & S. Rummery, 1989. "Gender Wage Discrimination in Australia: A reassessment," Economics Discussion / Working Papers 89-21, The University of Western Australia, Department of Economics.
    17. Giovanna Culot & Matteo Podrecca & Guido Nassimbeni & Guido Orzes & Marco Sartor, 2023. "Using supply chain databases in academic research: A methodological critique," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 3-25, January.
    18. Yik-Pui Low, Steven & Foo, Yee-Boon & Gul, Ferdinand A, 2023. "Corporate lobbying: Resource-seeking or rent-seeking? Evidence from audit fees," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(1).
    19. John Simon & Tahlee Stone, 2017. "The Property Ladder after the Financial Crisis: The First Step is a Stretch but Those Who Make It Are Doing OK," RBA Research Discussion Papers rdp2017-05, Reserve Bank of Australia.
    20. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:rmgtin:v:20:y:2017:i:3:p:363-390. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1098-1616 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.