{"title":"Is Collaboration a Good Investment? Modeling the Impact of Government Support for Nonprofit Collaborative Watershed Management Councils.","authors":"Tyler A. Scott","doi":"10.2139/ssrn.2519660","DOIUrl":null,"url":null,"abstract":"This paper couples data concerning 2500 grants given to local watershed management councils by an Oregon state agency, the Oregon Watershed Enhancement Board (OWEB), with 20 years of monthly water quality data sampled at 141 sites around the state. I examine whether public input, in the form of grant funding, to nonprofit watershed councils impacts water quality, and further compare the impacts of different grant types, such as restoration projects or stakeholder outreach. These data present some of the first evidence regarding the effect of collaborative management outputs on environmental outcomes (Carr et al. 2012; Koontz and Thomas 2006). In modeling these effects, this paper also makes a methodological contribution by demonstrating how spatio-temporal ecological and epidemiological modeling techniques can be used to test policy theory and analyze policy impacts using extant data. Specifically, I use integrated nested Laplace approximation (INLA) (Rue et al. 2009) and stochastic partial differential equations (SPDE) (Lindgren et al. 2011) to fit a hierarchical Bayesian model that accounts for spatial and temporal dependency. I find that increased public support (in the form of OWEB grant funds) for nonprofit watershed council education and outreach actions are strongly linked to water quality improvements. Support for council administrative purposes and scientific or technical activities are also associated with improved water quality over longer timer periods. The impacts of restoration projects are positive on average but more uncertain.","PeriodicalId":340493,"journal":{"name":"Pollution eJournal","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pollution eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2519660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper couples data concerning 2500 grants given to local watershed management councils by an Oregon state agency, the Oregon Watershed Enhancement Board (OWEB), with 20 years of monthly water quality data sampled at 141 sites around the state. I examine whether public input, in the form of grant funding, to nonprofit watershed councils impacts water quality, and further compare the impacts of different grant types, such as restoration projects or stakeholder outreach. These data present some of the first evidence regarding the effect of collaborative management outputs on environmental outcomes (Carr et al. 2012; Koontz and Thomas 2006). In modeling these effects, this paper also makes a methodological contribution by demonstrating how spatio-temporal ecological and epidemiological modeling techniques can be used to test policy theory and analyze policy impacts using extant data. Specifically, I use integrated nested Laplace approximation (INLA) (Rue et al. 2009) and stochastic partial differential equations (SPDE) (Lindgren et al. 2011) to fit a hierarchical Bayesian model that accounts for spatial and temporal dependency. I find that increased public support (in the form of OWEB grant funds) for nonprofit watershed council education and outreach actions are strongly linked to water quality improvements. Support for council administrative purposes and scientific or technical activities are also associated with improved water quality over longer timer periods. The impacts of restoration projects are positive on average but more uncertain.
本文结合了俄勒冈州机构俄勒冈流域促进委员会(OWEB)向当地流域管理委员会提供的2500笔赠款的数据,以及20年来在该州141个地点取样的每月水质数据。我研究了以赠款资金形式向非营利流域委员会提供的公众投入是否会影响水质,并进一步比较了不同赠款类型(如修复项目或利益相关者外展)的影响。这些数据提供了一些关于协作管理产出对环境结果影响的第一手证据(Carr et al. 2012;Koontz and Thomas 2006)。在对这些影响进行建模时,本文还通过展示如何使用时空生态和流行病学建模技术来测试政策理论并使用现有数据分析政策影响,从而在方法上做出了贡献。具体来说,我使用集成嵌套拉普拉斯近似(INLA) (Rue et al. 2009)和随机偏微分方程(SPDE) (Lindgren et al. 2011)来拟合考虑空间和时间依赖性的分层贝叶斯模型。我发现,增加公众对非营利性流域委员会教育和推广行动的支持(以OWEB赠款基金的形式)与水质改善密切相关。对理事会行政目的和科学或技术活动的支持也与长期改善水质有关。恢复项目的影响总体上是积极的,但不确定性更大。