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首页> 外文期刊>Journal of Environmental Management >Quantifying stakeholder learning in climate change adaptation across multiple relational and participatory networks
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Quantifying stakeholder learning in climate change adaptation across multiple relational and participatory networks

机译：量化利益相关者在多个关系和参与网络中的气候变化适应时学习

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摘要

Responding to accelerating climate change impacts requires broad and effective engagement with stakeholders, at multiple geographic and governance levels. Stakeholder participation has been hailed as a facilitated approach in climate change adaptation that supports social learning, depolarization of perceptions, and fosters collective action. But stakeholder participation remains loosely interpreted and evaluating measures are limited. This study employs social network analysis (SNA) to investigate how social relations among stakeholders, which emerge as a result of participation, are associated with stakeholder learning, as changes in perceptions of climate change. We hypothesized that reciprocal ties of understanding, respect, and influence can predict changes in perceptions of climate change. This approach was applied to a case study in Deal Island Peninsula, Maryland (USA) where local residents, scientists, and government officials met from 2016 to 2018 to collaboratively manage the impacts of sea-level rise in their communities. We found that social relations based on mutual understanding, respect, and influence are positively associated with perceptions of climate change. We provide a detailed conceptualization and implementation of a network-based approach that may serve as a potential quantitative performance measure of stakeholder participation processes in climate change adaptation. Overall, this study provides empirical evidence of the role that emerging social relations have on enhancing or constraining social learning among stakeholders in the Deal Island Peninsula project.
机译：响应加速气候变化的影响需要与多种地理和治理水平的利益攸关方具有广泛和有效的参与。利益攸关方参与被誉为气候变化适应方面的促进方法，支持社会学习，看法的看法和促进集体行动。但利益攸关方参与仍然松散地解释和评估措施有限。本研究采用社交网络分析（SNA）来调查利益攸关方之间的社会关系，这些利益攸关方在参与的结果中与利益攸关方学习有关，因为气候变化感觉的变化。我们假设互惠的理解，尊重和影响力可以预测气候变化看法的变化。这种方法适用于马里兰州（美国）交易岛半岛的案例研究，其中当地居民，科学家和政府官员于2016年至2018年举行会议，协同管理海平面上涨对其社区的影响。我们发现，基于相互理解，尊重和影响的社会关系与对气候变化的看法有关。我们提供了一种基于网络的方法的详细概念化和实施，可以作为气候变化适应中的利益相关者参与过程的潜在量化绩效衡量。总体而言，本研究提供了对新兴社会关系对加强或限制交易岛半岛项目中利益攸关方之间的社会学习的作用的经验证据。

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