{"title":"印度喀拉拉邦马拉普拉姆地区移民和非移民渔民家庭的收入和支出模式","authors":"Nusaiba. K. P, S. Shibinu","doi":"10.9734/sajsse/2024/v21i8862","DOIUrl":null,"url":null,"abstract":"This study examines the income and expenditure patterns among migrant and non-migrant fisherfolk households in Malappuram District, Kerala. Based on a sample of 375 households, with 172 migrants and 203 non-migrants surveyed between August 2023 and December 2023. Malappuram district which is located in the southern Indian state of Kerala, is known for its Kerala model of development and foremost position in the marine fisheries sector. Employing statistical tools such as chi-square, independent sample t-tests, and multiple linear regression, the study analyses how migration affects the income and expenditure patterns of the marine fisherfolk community. The chi-square results reveal significant disparities in occupational choices influenced by migration. The independent sample t-test indicates a statistically significant difference in mean income between migrant and non-migrant households. The multiple linear regression model examines the influence of migration status on expenditure alongside other explanatory variables, revealing that migration status and income significantly predict expenditure, while family size and age do not. These results, taken together, offer a sophisticated picture of how migration affects the income and spending habits of the Malappuram district's fishing community. Several policy suggestions can be made in light of these findings to reduce inequalities and improve the standard of living for households headed by migrant and non-migrant fishermen. Migrant fishermen can increase their income levels and have more career options by implementing focused skill development and training programs. The community can be empowered and long-term benefits can be ensured by supporting education and awareness programs that emphasize sustainable fishing practices and financial literacy.","PeriodicalId":509507,"journal":{"name":"South Asian Journal of Social Studies and Economics","volume":"60 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Income and Expenditure Patterns Among Migrant and Non-Migrant Fisherfolk Households in Malappuram District, Kerala, India\",\"authors\":\"Nusaiba. K. P, S. Shibinu\",\"doi\":\"10.9734/sajsse/2024/v21i8862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines the income and expenditure patterns among migrant and non-migrant fisherfolk households in Malappuram District, Kerala. Based on a sample of 375 households, with 172 migrants and 203 non-migrants surveyed between August 2023 and December 2023. Malappuram district which is located in the southern Indian state of Kerala, is known for its Kerala model of development and foremost position in the marine fisheries sector. Employing statistical tools such as chi-square, independent sample t-tests, and multiple linear regression, the study analyses how migration affects the income and expenditure patterns of the marine fisherfolk community. The chi-square results reveal significant disparities in occupational choices influenced by migration. The independent sample t-test indicates a statistically significant difference in mean income between migrant and non-migrant households. The multiple linear regression model examines the influence of migration status on expenditure alongside other explanatory variables, revealing that migration status and income significantly predict expenditure, while family size and age do not. These results, taken together, offer a sophisticated picture of how migration affects the income and spending habits of the Malappuram district's fishing community. Several policy suggestions can be made in light of these findings to reduce inequalities and improve the standard of living for households headed by migrant and non-migrant fishermen. Migrant fishermen can increase their income levels and have more career options by implementing focused skill development and training programs. 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引用次数: 0
摘要
本研究探讨了喀拉拉邦马拉普拉姆地区移民和非移民渔民家庭的收入和支出模式。基于 375 个家庭的样本,其中 172 个移民家庭和 203 个非移民家庭在 2023 年 8 月至 2023 年 12 月期间接受了调查。马拉普兰县位于印度南部的喀拉拉邦,以喀拉拉发展模式和海洋渔业领域的领先地位而闻名。本研究采用卡方检验、独立样本 t 检验和多元线性回归等统计工具,分析了移民如何影响海洋渔民社区的收入和支出模式。卡方检验结果显示,移民对职业选择的影响存在显著差异。独立样本 t 检验表明,移民家庭和非移民家庭的平均收入在统计上存在显著差异。多元线性回归模型检验了移民身份和其他解释变量对支出的影响,结果显示移民身份和收入能显著预测支出,而家庭规模和年龄则不能。综合这些结果,我们可以清楚地了解移民是如何影响马拉普拉姆地区渔业社区的收入和消费习惯的。根据这些研究结果,可以提出一些政策建议,以减少不平等现象,提高移民和非移民渔民户主家庭的生活水平。通过实施有针对性的技能发展和培训计划,移民渔民可以提高收入水平,拥有更多的职业选择。通过支持强调可持续渔业实践和金融知识的教育和宣传计划,可以增强社区的能力,确保长期利益。
Income and Expenditure Patterns Among Migrant and Non-Migrant Fisherfolk Households in Malappuram District, Kerala, India
This study examines the income and expenditure patterns among migrant and non-migrant fisherfolk households in Malappuram District, Kerala. Based on a sample of 375 households, with 172 migrants and 203 non-migrants surveyed between August 2023 and December 2023. Malappuram district which is located in the southern Indian state of Kerala, is known for its Kerala model of development and foremost position in the marine fisheries sector. Employing statistical tools such as chi-square, independent sample t-tests, and multiple linear regression, the study analyses how migration affects the income and expenditure patterns of the marine fisherfolk community. The chi-square results reveal significant disparities in occupational choices influenced by migration. The independent sample t-test indicates a statistically significant difference in mean income between migrant and non-migrant households. The multiple linear regression model examines the influence of migration status on expenditure alongside other explanatory variables, revealing that migration status and income significantly predict expenditure, while family size and age do not. These results, taken together, offer a sophisticated picture of how migration affects the income and spending habits of the Malappuram district's fishing community. Several policy suggestions can be made in light of these findings to reduce inequalities and improve the standard of living for households headed by migrant and non-migrant fishermen. Migrant fishermen can increase their income levels and have more career options by implementing focused skill development and training programs. The community can be empowered and long-term benefits can be ensured by supporting education and awareness programs that emphasize sustainable fishing practices and financial literacy.