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EN
The study examined the relationship between agricultural land use and population growth rates from 1961 to 2018 in Nigeria. Secondary data were obtained from Food and Agricultural Organization and the World Bank. Descriptive statistics, trend equation and correlation analyses were used. Findings revealed that agricultural and arable land utilization grew at the rate of 0.62% and 0.72%, respectively per annum; while the total population growth rate stood at 2.57%. Also, urban and rural population grew at a rate of 4.75% and 1.67% respectively. In addition, the agricultural and arable land utilization rates had significant positive correlations with the total population, urban and rural population. Besides, the findings revealed that, agricultural land (to total land ratio) has continued to increase and currently averaged at 68.78% indicating massive land expansion put under agricultural used. Findings revealed that, most arable crop outputs increase majorly from land expansion rather than land productivity, a situation that cannot assure sustainable agricultural land use food security in a near future. Hence, the country needs agricultural land sparing policies and technologies to slow the current agricultural land expansion drive. Besides, the country’s agricultural land policies should focus on achieving land productivity and sustainable land-sharing strategies among major land users in the country. Again, the rural population growth rate is lower than the urban growth rate, implying that, the rural population is deteriorating with its probable negative effect on farm labour. This needs to be addressed urgently if the sustainable agricultural system is to be achieved in the near future in Nigeria.
EN
This study defined sustainable technical efficiency from a set of efficiency indices generated from the maximum likelihood estimation of the stochastic production functions fitted on data collected from waterleaf farms in the Uyo agricultural zone of Akwa Ibom State, southern Nigeria. A multi-stage random sampling method was employed to choose two hundred respondents. A structured questionnaire was administered to the respondents to obtain the necessary data for the study. The empirical results revealed an average technical efficiency of 52.23% while the sustainable technical efficiency averaged 87.77% among waterleaf farmers in the zone. Determinants of Sustainable technical efficiency were identified using the Logit and Tobit models. The results of the two models were consistent and in line with the inefficiency model. Findings revealed that farmers’ age, number of female farmers, household size, farm size, farming experience, access to extension services, membership in social organization, land ownership status and non-farm income earned by farmers positively affected the sustainable technical efficiency of waterleaf farmers in the zone. On the other hand, farmers’ education, farming experience, cost of labour and value of post-harvest losses negatively affected sustainable technical efficiency. To achieve sustainable technical efficiency in waterleaf production, it is recommended that membership in social organizations should be intensified among waterleaf farmers. Also, land development is critical for the sustainability of waterleaf production in the zone. In addition, female beneficiaries should be the major target of any government intervention in waterleaf production. Training-based on-farm demonstrations, focus group discussion, advocacy and talks are preferred instead of a curriculum or formal education for waterleaf farmers in the State.
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