Climate-Smart Agriculture (CSA) is paramount to the success of farming activities today in the face of the menace of climate change. This study therefore investigated the frequency of usage of CSA and the factors influencing its level of usage in the Northern agricultural zone of Sokoto State. A well-structured questionnaire was used for data collection. The data used for the analysis were cross sectional data collected from 120 rural farming households in six (6) villages across two (2) local government areas. Descriptive statistics, Adaptation Strategy Use Index (ASUI) and ordered probit regression model were used for data analysis. Results indicated that the majority of the respondents were male (83.33%), married (83.33%), had Quranic education (73.33%), household size of 1-10 persons (58.33%), farming experience of 16-30 years (49.17%) and were between the ages of 46 and 60 (44.17%). Similarly, the practice of conservation agriculture was the most used CSAP in the study area, while the results of the ordered probit regression showed that years of education and membership of a social group were significant explanatory variables influencing the level of use of CSAP among the low user and high user categories at the 10% and 1% level of significance respectively, while access to credit significantly influenced only the low user category at the 10% level of significance. The study therefore concluded that CSAPs were being practiced at different levels in the study area with various factors influencing their usage, and it therefore recommended that the farming households be well enlightened by extension agents on the benefits of CSAPs.
Demand for frozen fish has been on the increase due to knowledge on the nutritive value of fish as a source of animal protein. This study was carried out to examine the determinants of frozen fish demand in Katsina metropolis in Katsina State, Nigeria. Cross-sectional data from purposively sampled 89 respondents was used; descriptive statistics and multiple regression analysis were used to analyze the data. The socioeconomics characteristics of the sampled frozen fish consumers indicated 65% male with majority (62.9%) between the ages of 21 and 40 years. Those with tertiary education constitute 70 and 43.8% are civil servants. Also 57.3% of the respondents are married with 68.5% having household size between 1 and 5. The linear regression result showed that the adjusted R 2 is 0.424 with F-ratio of 6.45 which is significant at 1% level. Majority of the respondents (44.94%) in the study area are in the high income group. The own price elasticity was found to be 0.78, which indicated that demand for frozen fish in the study area is inelastic, while the cross price elasticities for chicken and beef were -0.076 and -0.63, respectively, which implied that frozen fish and chicken and beef are complimentary goods in the area. Also, the income elasticity is 0.11, which implied that frozen fish is a normal good in the study area. The research established that price of fish, consumer's income, household size, educational status and species of fish are important factors influencing demand for frozen fish in the study area.
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