Global Journal of Health Science
Vol. 4, No. 1; January 2012
The Effects of HIV/AIDS Scourge on Production and Income among Rural Households in Adamawa State of Nigeria Iya, I. B., Purokayo, S. G., & Gabdo Yusuf Department of Economics Federal University of Technology, Yola, Nigeria Received: October 12, 2011 doi:10.5539/gjhs.v4n1p245 Abstract The paper investigates the determinants and the impact of HIV/AIDS on households in Adamawa State. 120 respondents affected with HIV/AIDS were selected for interview using simple random sampling techniques. Both primary and secondary data were used in its analysis to determine the impact of the disease on household’s income. The data collected were analyzed using descriptive analytical techniques and a logistic regression model was employed to estimate the likelihood that a household witnessed a fall in income as a result of the disease. The paper revealed that HIV/AIDS had an adverse impact on household’s productivity, income, saving and capital formation. The paper, therefore recommends an intensive Aids education programme and Government at all level as well as NGO’s should endeavor to provide adequate HIV testing kits, medication and free counseling services to enable the households determine their HIV status. Keywords: Labour force participation, HIV/AIDS, AIDS scourge, Household productivity 1. Introduction. The health status of the people in any country is a critical element in its economic growth as well as an important factor in the overall quality of household’s life and productivity. AIDS tend to selectively affect women, youths, which are the vulnerable groups; it influences a wide range of social and economic factors. In Adamawa State, agriculture is the dominant industry in the state, thus any serious infection of HIV could lead to low productivity of the industry. Recent studies have revealed that HIV/AIDS prevalence among women and youths is increasingly worrisome. The target is the most productive group of the population (15-49 groups). This is the age bracket involved in social and economic sectors as well as the civil service and education. Thus these sectors could suffer severely from labor supply, loss of time due to illness, funeral bills, orphans, street children, medical expenditure and other vices. The consequences could be disastrous if nothing is done to control the spreads. National prevalence has been steadily increasing from 1.8 percent in 1990 to 5.5 percent in 1999. The difference between HIV seroprevalence in urban and rural areas is not large, indicating that the AIDS problem in Nigeria is not strictly an urban one. This trend dictates labour participation rates both in the rural Nigeria; where the labour force is engaged in agricultural production, and in Urban Nigeria where most Nigerians migrate, find information to travel abroad for so called better life. Factors that determine the labour force participation are the size of the family, level of education, job opportunities and migration amongst others. These are the main demographic dynamics in Nigeria over the years. Demographic indicators show that the dynamics in the population are skewed towards low productivity and increased social problems – high population movements to cities (Urban), high HIV/AIDS infections, and porous borders of the study area (Adamawa State) with Cameroun and Niger resulting to increased congestions and the rate infections. Labour is total human efforts used in the productive process. It can also be defined as the strength expanded on the creation of goods and services. It includes number of hours worked and the physical strength. Labour can be services that have value and exchange. Economics is therefore concerned with efficiency – best use of productive resources and value. This is why policies for enhancing the labour force productivity is vital in achieving growth goals of the Nigerian economy, for instance the Vision 2020, which...
References: Source: Field Survey, 2010
Published by Canadian Center of Science and Education
Wald Chi-square= 49.669 Pseudo R-squared=0.484(p-value= 0.000) Log likelihood=-47.139 Source: Analysis of field survey, 2010
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