AI Summary & Key Takeaways
AI InsightThe study recommended that grants, loans and subsidies should be given to fish farmers and marketers to enable them purchase modern tools and infrastructures in order to increase supply.
📌 3 Key Takeaways
Abstract
The primary purpose of this research was to examine the household demand for fish in Oshimili North Local Government Area of Delta State, Nigeria. A multistage sampling procedure was used to select 120 respondents for the study. Both inferential and descriptive statistics were used to achieve the objectives of the study. The result from the study revealed that the mean age of the respondents was 44 years and were mostly female (69.2%). Majority of the respondents were married (64.2%), 16.7% were single, 3.3% were divorced, 7.5% widowed while 8.3% were separated. The mean household size was 5 persons. About 1.7% of the respondents had no formal education, 5.8% had primary education, 9.2% had secondary education while 83.3% had tertiary education. Result reveals that 45.0% of the respondent preferred dried fish as their best form fish for consumption. The result of the multiple regression analysis showed that the R2 for the double log function was 0.902. Age, household size, price of fish and beef were statistically significant at 5%, 10%, 5% and 1% probability levels respectively. The study recommended that grants, loans and subsidies should be given to fish farmers and marketers to enable them purchase modern tools and infrastructures in order to increase supply.
Özet
The primary purpose of this research was to examine the household demand for fish in Oshimili North Local Government Area of Delta State, Nigeria. A multistage sampling procedure was used to select 120 respondents for the study. Both inferential and descriptive statistics were used to achieve the objectives of the study. The result from the study revealed that the mean age of the respondents was 44 years and were mostly female (69.2%). Majority of the respondents were married (64.2%), 16.7% were single, 3.3% were divorced, 7.5% widowed while 8.3% were separated. The mean household size was 5 persons. About 1.7% of the respondents had no formal education, 5.8% had primary education, 9.2% had secondary education while 83.3% had tertiary education. Result reveals that 45.0% of the respondent preferred dried fish as their best form fish for consumption. The result of the multiple regression analysis showed that the R2 for the double log function was 0.902. Age, household size, price of fish and beef were statistically significant at 5%, 10%, 5% and 1% probability levels respectively. The study recommended that grants, loans and subsidies should be given to fish farmers and marketers to enable them purchase modern tools and infrastructures in order to increase supply.