社会复原力与蓝色经济:加纳沿海社区渔民的研究

Alhassan Abdul-Wakeel Karakara , James A. Peprah , Isaac Dasmani
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引用次数: 0

摘要

捕鱼是海洋中最引人注目的人类活动,因为包括穷人、弱势群体和弱势群体在内的许多人直接或间接地谋生。然而,人们已经认识到捕鱼对海洋的可持续性有影响,这需要关注(被称为蓝色经济)。海洋社区的社会复原力是实现蓝色经济的关键,也是环境管理可持续性的一个重要方面,特别是在依赖资源的社区。以往的社会弹性研究忽视了海洋群落的社会弹性状态、社会弹性的决定因素及其与蓝色经济的关系。我们采用融合并行混合方法研究设计,收集和分析了加纳9个半城市、2个城市和16个村庄的491名沿海手工渔民的数据。采用主成分分析确定影响渔民社会弹性的因素。同时,采用二元logistic模型检验社会弹性与人口统计学特征之间的关系。使用李克特五点量表(非常同意、同意、不知道、不同意、非常不同意)对四个主要组成部分进行自我评估。研究中渔民的社会弹性可以用四个主要特征来解释:变化、计划、学习和重组能力所产生的风险感知;人们如何看待自己应对变化的能力;以及个人对未来变化的兴趣程度。此外,人口变量显著地决定了社会弹性的状态。在地方一级加强社会复原力的具体政策措施可侧重于通过帮助渔民建立自助协会来建立社区社会资本,以及发展可提供替代生计来源的社区经济和社会基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social resilience and the blue economy: A study on fishermen in coastal communities in Ghana
Fishing is the most notable human activity in the ocean because many people including the poor, vulnerable, and less advantaged earn their living directly or indirectly. However, fishing practices have been recognized to have an effect on the sustainability of the ocean, which calls for concern (referred to as the blue economy). The social resilience of marine communities is key to achieving a blue economy and an essential aspect of sustainability in environmental management, particularly in resource-dependent communities. Previous studies on social resilience have neglected the social resilience state of marine communities, the determinants of such social resilience, and its relationship to the blue economy. We employed a convergent parallel mixed-methods research design to collect and analyze data on 491 coastal artisanal fishermen across nine semi-urban, two urban, and 16 villages in Ghana. Principal Component Analysis was employed to determine the factors contributing to the fishermen's social resilience. At the same time, a binary logistic model was employed to examine the relationship between social resilience and demographic characteristics. Using a five-point Likert scale (strongly agree, agree, don’t know, disagree, and strongly disagree) on four major components, fishermen self-assess their expected well-being. Social resilience of fishermen in the study can be explained by four broad characteristics: the risk perception emanating from change, planning, learning, and reorganization ability; how people perceive their ability to cope with change; and the interest level of individuals in a prospective change. Also, demographic variables significantly determine the state of social resilience. Specific policy measures for strengthening social resilience at the local level could target building community social capital by helping fishermen form self-help associations, and developing community economic and social infrastructures that could provide alternative source of livelihood.
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