The formal engagement of diverse stakeholder groups in policy design and implementation has become a mainstay governance strategy. While much has been learned about collaborative governance arrangements in terms of their structure, processes, and participant dynamics, one particularly salient dynamic has been relatively underexplored: the factors contributing to sustained participation in collaborative venues. Public administration and policy have developed a variety of conceptual theories which draw attention to interpersonal interactions and the ability of stakeholders to garner political wins as important contributing factors to sustained participation. In this article, we test four theoretically rooted hypotheses to investigate stakeholder attendance in the collaborative governance case of an environmental justice council. We analyze council meeting minute data using computational text analysis tools and a Stochastic Actor-Oriented Model to assess: (1) conflict and concord, measured in terms of repeated (dis)agreement with others and (2) interest advancement, or the extent to which a stakeholder makes positive, neutral, and negative comments toward topics which become the council’s annual objectives in relation to an individual’s attendance. Our interpersonal interaction results show that increased positive relationships are associated with increased attendance, and increased negative relationships are associated with decreased attendance, but, for both cases, only when interactions are repeated and not one-off. Our interest advancement results show: (1) an increase in supported annual objectives is associated with decreases in attendance for an individual stakeholder, but (2) increased oppositional and neutral annual topics are associated with a greater likelihood of attendance. This article contributes to existing scholarship on collaborative governance by offering additional insights into individual factors associated with sustained engagement in the collaborative venue. Furthermore, the article offers a generalizable methodological approach for analyzing these dynamics drawing on computational text analysis of meeting minute data.

中文翻译：

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评估持续参与协作治理安排的驱动因素


不同的利益相关者群体正式参与政策制定和实施已成为一项主要的治理战略。虽然在结构、流程和参与者动态方面对协作治理安排了解很多，但一个特别突出的动态相对未得到充分探索：有助于持续参与协作场所的因素。公共管理和政策已经发展了各种概念理论，这些理论引起了人们对人际互动和利益相关者获得政治胜利的能力的关注，这些理论是持续参与的重要因素。在本文中，我们检验了四个理论上根深蒂固的假设，以调查利益相关者在环境正义委员会的协作治理案例中的参与情况。我们使用计算文本分析工具和随机面向参与者模型分析理事会会议纪要数据，以评估：（1） 冲突与和谐，以与他人的重复（不）一致来衡量，以及 （2） 利益促进，或利益相关者对成为理事会与个人出席相关的年度目标的话题发表积极、中立和消极评论的程度。我们的人际互动结果表明，积极关系的增加与出勤率的增加有关，而消极关系的增加与出勤率的降低有关，但对于这两种情况，只有在互动重复而不是一次性时。 我们的利息提升结果表明：（1） 支持的年度目标的增加与单个利益相关者的出席率减少相关，但 （2） 反对和中立的年度主题增加与出席的可能性增加相关。本文通过提供与持续参与协作场所相关的个人因素的更多见解，为现有的协作治理学术做出贡献。此外，本文提供了一种通用的方法论方法，用于利用会议分钟数据的计算文本分析来分析这些动态。