Abstract

This study aims at exploring ways of increasing adaptive capacity and reducing vulnerability of farmers in the face of water scarcity through establishing a link between social network indicators and the dimensions of adaptive capacity. For this purpose, a Social Network Analysis (SNA) model along with a Structural Equation Model was developed to investigate the effects of SNA indices on the dimensions influencing the adaptive capacity of the water users in rural areas in the west of Iran. The developed model links participation in production and knowledge exchange with ten critical dimensions identified to affect the adaptive capacities of water resources users. The results indicated that the most important subdimensions affecting adaptive capacity were governance, innovation, and awareness. Also, the positive effects of individual and whole network level of indices on the adaptive capacity indicated high coherence in the study area and the ability of people to develop social learning to improve the adaptive capacity.

摘要

本研究旨在通过建立社会网络指标与适应能力维度之间的联系，探索提高适应能力和减少农民面对水资源短缺的脆弱性的方法。为此，开发了社会网络分析 (SNA) 模型和结构方程模型，以研究 SNA 指数对影响伊朗西部农村地区用水者适应能力的维度的影响。开发的模型将参与生产和知识交流与确定的影响水资源用户适应能力的十个关键维度联系起来。结果表明，影响适应能力的最重要的子维度是治理、创新和意识。还，