Assessing the impact of risk perception on fisheries performance: a structural equation modeling approach in coastal fisheries

IF 2.8 2区生物学 Q1 MARINE & FRESHWATER BIOLOGY

Frontiers in Marine Science Pub Date : 2025-04-22 DOI:10.3389/fmars.2025.1533220

Muhammad Mohsin, Hengbin Yin, Ana Mehak

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引用次数: 0

Abstract

Risk perception is crucial for making effective fisheries management strategies. However, this role of risk perception needs to be addressed, particularly in developing countries. Published literature documents such a scenario in the case of Pakistan, which results in a decreased economic contribution to the fisheries sector. Despite its importance, the role of risk perception in managing the fisheries sector is absent in online scientific studies. The present study strives to address this research void by analyzing survey-based data collected through snowball sampling between May 2022 and October 2024. Multivariate analysis, viz., Structure Equation Modeling (SEM), was done through Statistical Package for Social Sciences (SPSS) as well as Analysis of Moment Structures (AMOS). Cronbach’s alpha values for all constructs were above 0.6, with the highest being 0.962 for policies and regulations risk, confirming data reliability. Confirmatory Factor Analysis (CFA) indices, including Comparative Fit Index (CFI) (0.933) and Tucker-Lewis index (TLI) (0.916), indicated a good model fit, with acceptable construct reliability (CR) and Average Variance Extracted (AVE) values. SEM showed that economic risk (estimate = -0.425, p = 0.000), environmental risk (estimate = -0.251, p = 0.007), and consumption risk (estimate = -0.265, p = 0.000) negatively impacted performance, while policies and regulations risk (estimate = -0.113, p = 0.121) and infrastructure and logistics risk (estimate = -0.073, p = 0.411) were insignificant. Risk perception was a significant mediator of performance, with varying effects across Sindh and Balochistan. According to the survey participants, there is a dire need to increase levels of fisheries risk perception, which can be achieved through properly designed capacity-building and incentive-based management techniques. Furthermore, this study discusses the practical implications and limitations.

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评估风险感知对渔业绩效的影响：沿海渔业的结构方程建模方法

风险认知对于制定有效的渔业管理战略至关重要。然而，风险认知的作用需要得到解决，特别是在发展中国家。已出版的文献记录了巴基斯坦的这种情况，这导致对渔业部门的经济贡献减少。尽管风险感知在渔业部门管理中的作用很重要，但在在线科学研究中却缺乏风险感知。本研究试图通过分析2022年5月至2024年10月期间通过滚雪球抽样收集的调查数据来解决这一研究空白。多变量分析，即结构方程建模（SEM），通过社会科学统计软件包（SPSS）和矩结构分析（AMOS）完成。所有构式的Cronbach’s alpha值均在0.6以上，其中政策法规风险最高为0.962，证实了数据的可靠性。验证性因子分析（CFA）指标，包括比较拟合指数（CFI）（0.933）和Tucker-Lewis指数（TLI）（0.916），表明模型拟合良好，结构信度（CR）和平均方差提取（AVE）值可接受。SEM显示，经济风险（估计= -0.425,p = 0.000）、环境风险（估计= -0.251,p = 0.007）和消费风险（估计= -0.265,p = 0.000）对绩效产生负面影响，而政策法规风险（估计= -0.113,p = 0.121）和基础设施和物流风险（估计= -0.073,p = 0.411）不显著。风险感知是绩效的重要中介，在信德省和俾路支省具有不同的影响。据调查参与者说，迫切需要提高对渔业风险的认识水平，这可以通过适当设计的能力建设和基于奖励的管理技术来实现。此外，本研究还讨论了实际意义和局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Marine Science Agricultural and Biological Sciences-Aquatic Science

CiteScore

5.10

自引率

16.20%

发文量

2443

审稿时长

14 weeks

期刊介绍： Frontiers in Marine Science publishes rigorously peer-reviewed research that advances our understanding of all aspects of the environment, biology, ecosystem functioning and human interactions with the oceans. Field Chief Editor Carlos M. Duarte at King Abdullah University of Science and Technology Thuwal is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, policy makers and the public worldwide. With the human population predicted to reach 9 billion people by 2050, it is clear that traditional land resources will not suffice to meet the demand for food or energy, required to support high-quality livelihoods. As a result, the oceans are emerging as a source of untapped assets, with new innovative industries, such as aquaculture, marine biotechnology, marine energy and deep-sea mining growing rapidly under a new era characterized by rapid growth of a blue, ocean-based economy. The sustainability of the blue economy is closely dependent on our knowledge about how to mitigate the impacts of the multiple pressures on the ocean ecosystem associated with the increased scale and diversification of industry operations in the ocean and global human pressures on the environment. Therefore, Frontiers in Marine Science particularly welcomes the communication of research outcomes addressing ocean-based solutions for the emerging challenges, including improved forecasting and observational capacities, understanding biodiversity and ecosystem problems, locally and globally, effective management strategies to maintain ocean health, and an improved capacity to sustainably derive resources from the oceans.