This study examines long run economic cost of HIV/AIDS on agriculture. Twenty-two African Countries were identified through purposive sampling. The sampling procedure helped to identify 1420 affected households. However, 1300 observations were found suitable for the subsequent analysis. Data were subjected to descriptive statistics and Overlapping Generation (OLG) model. The causes of high prevalence rates are the issue of poverty, fertility, myth and migration among others. Factors responsible for the classification of high HIV/AIDS prevalence rates were the patterns of spread of infectious disease that are closely associated with patterns of human mobility. For lower HIV/AIDS prevalence rate factors were low values of procreation and high values placed on morals. A positive correlation between HIV prevalence and GDP per capita was found. The study found out that there is a curvilinear relationship between the course of the HIV/AIDS epidemic and agricultural/economic growth in terms of human capita development.
This study examines the effect of public spending on agricultural productivity in major agro-ecological regions in Nigeria (1981-2018). Using public finance data from agricultural and the non-agricultural sectors at a national level, agricultural productivity returns were analysed. Public spending on drivers of agricultural growth such as education, farm feeder roads and health care facilities and their effect on agricultural productivity were also examined. Data were analysed using descriptive statistics and three-stage simultaneous equations. Descriptive statistics analysis results indicated that agricultural public spending as a part of total public spending averaged 4.88% between 1981 and 2018 across zones in Nigeria. Less than 25% of this allocation was spent on agricultural developmental/capital project. Elasticity results computed from the 3-stage simultaneous equation showed that the access to moderate farm feeder roads variable was 0.045, the access to education variable was 0.071 and the access to health care facilities (within 15-30 minutes’ walk to health facility) variable was 0.013. These variables were all significant at 1%. Such outcomes suggest that a 1% increase in the funding of education, farm feeder roads and health care facilities will enhance agricultural productivity per capita by 0.043. Hence, the results revealed an estimated benefit-cost-ratio of 4.3:1. Consequently, public expenditure on education, farm feeder roads and health care facilities of 4.3% would enhance agricultural productivity by 1%. However, the assessed marginal consequences and returns vary for four agro-ecological regions. Hence, harmonizing along with quality public spending on access to health care facilities, education and farm feeder roads would enhance agricultural productivity
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