How Do Nonprofits’ Organizational Characteristics Shape Environmental Philanthropy in Texas? A Network Science Approach

IF 2.2 Q2 PUBLIC ADMINISTRATION
Joycelyn Ovalle, R. P. Bixler, Ji Ma
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Abstract

In efforts to address the far-reaching effects of climate change and associated impacts in communities, research on environmental philanthropy suggests that more resources are being allocated to environmental societal challenges. However, understandings about which environmental nonprofits benefit from these funding flows is limited. This study integrates resource dependency theory with elitism and pluralism perspectives to analyze a network of environmental nonprofits and their funders in Texas. Resource dependency and a network-analytic approaches share underlying relationality principles, and we connect those dots by conceptualizing the funding dynamics in Texas as a network of funder-grantee relations. Drawing on statewide survey data (n = 114), we use a network analysis technique – exponential random graph modeling (ERGM) – to analyze funding allocations in Texas through the organizational attributes of environmental nonprofits, their funder-grantee relations, and their community context. We specifically observe elitism in funding allocations in Texas, which is evident in network effects (preferential attachment) and the focal areas of environmental work. However, we find limited evidence that age or resources of the nonprofit are predictive of funding and the most influential factor determining a funder-grantee relationship is the natural hazard risk of the community served by the nonprofit. Our findings suggest interconnected funding dynamics of pluralism and elitism in the Texas environmental philanthropy landscape, prompting further discussion about the potential synergies of these patterns and the implications for environmental funding practices.
非营利组织的组织特征如何影响得克萨斯州的环境慈善事业?网络科学方法
为了应对气候变化的深远影响和对社区的相关影响,有关环境慈善事业的研究表 明,越来越多的资源被用于应对环境社会挑战。然而,人们对哪些非营利性环保组织能从这些资金流中获益的了解却十分有限。本研究将资源依赖理论与精英主义和多元化视角相结合,对德克萨斯州的非营利性环保组织及其资助者网络进行了分析。资源依赖和网络分析方法共享基本的关系原则,我们将德克萨斯州的资金动态概念化为资助者与被资助者的关系网络,从而将这些点连接起来。利用全州调查数据(n = 114),我们使用了一种网络分析技术--指数随机图建模(ERGM)--通过环境非营利组织的组织属性、资助者与受资助者的关系以及社区背景来分析德克萨斯州的资金分配情况。我们特别观察到德克萨斯州资金分配中的精英主义,这在网络效应(优先依附)和环保工作的重点领域中都很明显。然而,我们发现,非营利组织的年龄或资源对资金的预测作用有限,而决定资助者与受资助者关系的最有影响力的因素是非营利组织所服务社区的自然灾害风险。我们的研究结果表明,在得克萨斯州的环境慈善事业中,多元化和精英化的资助动态是相互关联的,这促使我们进一步讨论这些模式的潜在协同作用以及对环境资助实践的影响。
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来源期刊
Nonprofit Policy Forum
Nonprofit Policy Forum PUBLIC ADMINISTRATION-
CiteScore
2.80
自引率
18.80%
发文量
23
审稿时长
7 weeks
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