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 paper, 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: (i) conflict and concord, measured in terms of repeated (dis)agreement with others; and (ii) interest advancement, or the extent to which a stakeholder makes positive, neutral, and negative comments towards topics which become the council’s annual objectives in relation to an individual’s attendance. Our interpersonal interaction results show 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 paper contributes to existing scholarship on collaborative governance by offering additional insights into individual factors associated with sustained engagement in the collaborative venue. Furthermore, the paper offers a generalizable methodological approach for analyzing these dynamics drawing on computational text analysis of meeting minute data.

中文翻译：

---

评估持续参与协作治理安排的驱动因素

不同利益相关群体正式参与政策设计和实施已成为一项主要的治理策略。尽管人们对协作治理安排的结构、流程和参与者动态有了很多了解，但一个特别显着的动态却相对未被充分探索：有助于持续参与协作场所的因素。公共行政和政策已经发展了各种概念理论，这些理论引起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，将其作为持续参与的重要影响因素。在本文中，我们测试了四个有理论依据的假设，以调查利益相关者参与环境正义理事会协作治理案例的情况。我们使用计算文本分析工具和随机参与者导向模型来分析理事会会议纪要数据，以评估：（i）冲突与和谐，以与他人重复（不）同意的方式来衡量；(ii) 兴趣提升，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主题做出积极、中立和消极评论的程度。我们的人际互动结果显示，积极关系的增加与出勤率的增加相关，而消极关系的增加与出勤率的下降相关，但是，对于这两种情况，只有当互动是重复的而不是一次性的时。我们的兴趣推进结果显示：(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的增加与出席的可能性更大相关。本文通过对与协作场所持续参与相关的个体因素提供更多见解，为现有的协作治理学术做出了贡献。此外，本文还提供了一种通用的方法论，用于利用会议纪要数据的计算文本分析来分析这些动态。