A Multi-Method, Spatial Approach for Explaining the Appearance and Passage of Open Space Referenda
Martin Heintzelman (),
Patrick Walsh and
Dustin J. Grzeskowiak
No 201202, NCEE Working Paper Series from National Center for Environmental Economics, U.S. Environmental Protection Agency
Abstract:
To guard against urban sprawl, many communities in the United States have begun enacting policies to preserve open space, often through local voter referenda. New Jersey sponsors such municipal action through the Green Acres Program by providing funding and low interest loans to towns that choose, through a referendum, to increase property taxes and spend the money raised on open space preservation for the purposes of conservation and/or recreation. Understanding which factors contribute to the appearance and success of these measures is important for policy makers and conservation advocates, not only in New Jersey, but across the United States. Although previous literature has examined this issue, this is the first study to account for spatial dependence/spatial autocorrelation and to explore dynamic issues through survival analysis. The traditional two stage model from the literature is extended by incorporating a Bayesian spatial probit for the first stage and a maximum-likelihood spatial error model in the second stage. A Cox – proportional hazard model is used to examine the timing of referenda appearance. Spatial dependence is found in the second stage of the analysis, indicating future studies should account for its influence. There is not strong evidence for spatial dependence or correlation in the first stage. The survival model is found to be a useful complement to the traditional probit analysis of the first stage.
Keywords: environmental referenda; open space; survival model; Spatial econometrics; bayesian probit (search for similar items in EconPapers)
JEL-codes: C11 C21 Q50 Q57 Q58 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2012-04, Revised 2012-04
New Economics Papers: this item is included in nep-env and nep-ure
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:nev:wpaper:wp201202
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