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Understanding Business Improvement District formation: An analysis of neighborhoods and boundaries

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  • Meltzer, Rachel

Abstract

Business Improvement Districts (BIDs) provide supplemental services to urban commercial corridors using funds from member assessments. They have become a very popular urban revitalization tool, but their formation is still largely unexplained. Theory implies that BIDs will form if they add to aggregate welfare and if the marginal net benefit of membership is positive. I test this for the neighborhood overall and at the BID boundary. Using unique, micro-level and longitudinal data from New York City, I employ survival analysis methods to estimate the likelihood of a neighborhood forming a BID. I then estimate the likelihood of the marginal property’s BID membership by comparing the characteristics of properties located immediately inside and outside of the BID boundaries. I find that BIDs are more likely to form when there is more commercial space over which the BID benefits can be capitalized and when there is homogeneity in service and spending preferences across properties. BIDs also tend to form in neighborhoods that possess signs of appreciation and growth. Generally, BIDs are more likely to form in neighborhoods with higher valued properties with the exception of very wealthy areas. The BID boundary, however, is comprised of relatively less valuable properties.

Suggested Citation

  • Meltzer, Rachel, 2012. "Understanding Business Improvement District formation: An analysis of neighborhoods and boundaries," Journal of Urban Economics, Elsevier, vol. 71(1), pages 66-78.
  • Handle: RePEc:eee:juecon:v:71:y:2012:i:1:p:66-78
    DOI: 10.1016/j.jue.2011.08.005
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    1. Pedro Guimarães, 2021. "Business Improvement Districts: A Systematic Review of an Urban Governance Model towards City Center Revitalization," Land, MDPI, vol. 10(9), pages 1-24, September.
    2. Faggio, G., 2022. "The Impact of Business Improvement Districts on Crime," Working Papers 22/03, Department of Economics, City University London.
    3. David Neumark & Timothy Young, 2020. "Heterogeneous Effects of State Enterprise Zone Programs in the Shorter Run and Longer Run," NBER Working Papers 27545, National Bureau of Economic Research, Inc.
    4. Neumark, David & Young, Timothy, 2019. "Enterprise zones, poverty, and labor market outcomes: Resolving conflicting evidence," Regional Science and Urban Economics, Elsevier, vol. 78(C).
    5. Hooton, Christopher Alex, 2019. "The application of micro-geographic economic analysis in urban policy evaluation," Evaluation and Program Planning, Elsevier, vol. 72(C), pages 125-135.
    6. Miller, Mark V., 2013. "Valuing local collective goods: the case of business improvement districts," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150635, Agricultural and Applied Economics Association.
    7. KONDO Keisuke & OKUBO Toshihiro, 2020. "The Revitalization of Shrinking Cities: Lessons from the Japanese Service Sector," Discussion papers 20050, Research Institute of Economy, Trade and Industry (RIETI).
    8. David Neumark & Timothy Young, 2021. "Heterogeneous Effects of State Enterprise Zone Programs in the Shorter Run and Longer Run," Economic Development Quarterly, , vol. 35(2), pages 91-107, May.
    9. Wonhyung Lee, 2016. "Struggles to form business improvement districts (BIDs) in Los Angeles," Urban Studies, Urban Studies Journal Limited, vol. 53(16), pages 3423-3438, December.
    10. John Charles Bradbury, 2022. "The impact of sports stadiums on localized commercial activity: Evidence from a Business Improvement District," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 194-217, January.
    11. Andrew Hanson, 2021. "Taxes and Economic Development: An Update on the State of the Economics Literature," Economic Development Quarterly, , vol. 35(3), pages 232-253, August.

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    More about this item

    Keywords

    Business Improvement Districts; Private governments; Public good provision; Urban revitalization; Economic development;
    All these keywords.

    JEL classification:

    • H - Public Economics
    • R - Urban, Rural, Regional, Real Estate, and Transportation Economics

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