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EN
This study assessed the different income generating activities as well as factors that influenced choice of such activities among forest communities in Cross Rivers State of Nigeria. One hundred copies of structured questionnaire were used to obtain information from respondents in the study area. Two Local Government Areas (LGAs) were purposively selected for the study, due to their agrarian and forest-based nature. Five communities were then randomly selected from each of the LGAs and ten copies of questionnaire were randomly administered in each community. Both descriptive statistics such as frequencies and percentages as well as inferential statistics such as Multinomial Logistic Regression were used in the study. From the study, it was discovered that the average household size, age, farm size and household income were 4; 36.5; 1.75Ha and N39, 330 respectively. It was also observed that the respondents engaged in different income generating activities which are then categorized into On-farm only activities, Non-farm only activities as well as Non-farm+ On-farm activities. Thirty-seven percent (37%) of the respondents engaged in only farming activities with only 20% of them engaging in non-farm activities alone; while 43% of the respondents combine farm activities with non-farm activities. The results of the Multinomial Logistic Regression show that age, educational qualification, access to extension services, total household monthly income, farming experience, farm size as well as availability of forest were variables that significantly influenced the respondents’ choice of livelihood strategies at 5% level of significance.
EN
Charcoal is used all over the world. Although its contribution to household income has made it popular in most rural areas, its production aggravates forest cover depletion and degradation. In Oyo State, Nigeria, Charcoal production has continued despite government efforts to reduce or eradicate charcoal production in the state. This study therefore attempted to assess the reasons for this and what should be done to ameliorate it. Those who engage in full-time and part-time charcoal production were investigated. Data were obtained from 350 respondents with the aid of a well-structured questionnaire using a multistage sampling technique, and 304 copies of the questionnaire were analyzed using descriptive statistics and a Logit regression model. The results revealed that the mean age of charcoal producers was 48.86 ±0.06 years and that they were predominantly (97.7%) males. A large proportion of the respondents (76%) had obtained either a West African School Certificate or a Senior Secondary Certificate, while the mean experience in charcoal production was 15.33 ±0.30 years and most (63.8%) of the individuals involved in the industry were migrants. The majority (71.7%) of them lived in mud houses and had little or no access to basic amenities such as good roads, electricity or pipe-borne water. The logit results indicate that age and owning a private plantation encourage continuous charcoal production (at the 5% significance level) on a full-time basis, thereby encouraging constant production. However, being an indigene of the state, having other income sources and educational attainment at tertiary level reduced the probability of being a full-time charcoal producer, hence reducing charcoal production. To stem continuing forest resource depletion through charcoal production, it is imperative that factors such as the provision of basic amenities, the promotion of alternative sources of income, and access to tertiary education coupled with the availability of short-term loans with a grace period for loan repayment as well as participation in tree planting by charcoal producers be prioritized by policy makers and other stakeholders in the industry.
EN
This study assesses the different types of livelihood strategies as well as factors that influence the choice of these strategies among rural households in Niger State, Nigeria. One hundred copies of a structured questionnaire were used to obtain information from respondents in the study area. Two Local Government Areas (LGAs) were purposively selected for the study. Both descriptive statistics such as frequencies and percentages and inferential statistics such as Multinomial Logistic Regression were used in the study. The average household size, farm size and farming experience in the study were 10, 2.2 acre and 20 years respectively and most of the respondents were educated. The results of the Multinomial Logistic Regression show that age, household size, farm size, non-farm income, access to extension services, educational qualifications, farming experience and forest availability in their locality were factors that influenced the respondents’ choice of livelihood strategy relative to the reference category in the study.
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