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Gender and small-scale fisheries: Contribution to livelihood and local economies
Marine Policy ( IF 3.5 ) Pub Date : 2021-12-22 , DOI: 10.1016/j.marpol.2021.104913
P.S. Swathi Lekshmi 1 , Kalidoss Radhakrishnan 1 , R. Narayanakumar 2 , V.P. Vipinkumar 3 , Shinoj Parappurathu 3 , Shyam S. Salim 3 , B. Johnson 4 , Phalguni Pattnaik 5
Affiliation  

Paramount comprehension of gender roles in fisheries is essential to value the often-concealed role that women play in fisheries and households. We examine the women’s contribution to household income and livelihood security using the qualitative data collected through random sampling from 58 fishers – 24 women and 34 men – in Visakhapatnam district of Andhra Pradesh, India. Mann-Whitney U test and Discriminant Function Analysis (DFA) was applied to check the significant difference between two groups – men and women – based on 24 variables under three categories namely socio-personal, socio-economic and socio-psychological. Results of these test revealed that age, annual income, and decision-making behavior were significantly (P < 0.05) higher for women compared to men. The eigen value 1.20 showed the percentage of variance; the proportion of discriminating ability were statistically significant (Wilks’s lambda =0.455, Chi-square = 35.09, P < 0.05) between men and women in a given function. Data of the present study shows that, there is disparity existing between the men and women respondents that could be addressed through suitable policy interventions. Further, the study calls for a gender wise quantification on the different roles played by men and women, because it has a profound implication for better fisheries management, livelihood and development policies



中文翻译:

性别和小规模渔业:对生计和当地经济的贡献

对渔业中性别角色的最重要理解对于重视妇女在渔业和家庭中所扮演的通常被隐藏的角色至关重要。我们使用通过随机抽样从印度安得拉邦维沙卡帕特南地区的 58 名渔民(24 名女性和 34 名男性)中收集的定性数据来检验女性对家庭收入和生计安全的贡献。曼-惠特尼ü应用检验和判别函数分析 (DFA) 来检查两组(男性和女性)之间的显着差异,基于三个类别(即社会个人、社会经济和社会心理)下的 24 个变量。这些测试的结果显示,与男性相比,女性的年龄、年收入和决策行为显着(P < 0.05)更高。特征值 1.20 表示方差的百分比;在给定函数中,男性和女性之间的辨别能力比例具有统计学意义(Wilks's lambda = 0.455,卡方= 35.09,P < 0.05)。本研究的数据表明,男性和女性受访者之间存在差异,可以通过适当的政策干预来解决。更远,

更新日期:2021-12-23
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