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This study employed 2015 census data as the research sample. By conducting multiple regression analysis, this study determined the effects of related variables on aquaculture farmer income. These variables were employee sex, age, education level, and working days; number of part-time employees; number of full-time employees; the aquaculture area size; and the type of aquaculture products cultivated. The empirical results indicated that employee working days, number of full-time employees, and type of aquaculture products cultivated significantly influenced aquaculture farmer income. Furthermore, this study referenced the literature discussing crucial default risk variables and inferred that employee working days, number of full-time employees, area, and type of aquaculture products cultivated influenced the credit evaluation of aquaculture farmers. This study provides financial institutes with an alternative credit evaluation indicator.
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