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. Howev...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.展开更多
This study evaluates the potential impacts of climate change on Nigeria's agriculture using Ricardian approach and brief analysis of farmer's adaptation strategies. Sampling was based on rural household survey condu...This study evaluates the potential impacts of climate change on Nigeria's agriculture using Ricardian approach and brief analysis of farmer's adaptation strategies. Sampling was based on rural household survey conducted on farming households in all the six zones of the country. The sampling frame considered the traditional typology of the country's agro ecological zones and dominant agricultural commodities. Random sampling was used to select 800 farming households from each of the selected 20 villages; however, only 650 household's data were useful for subsequent analysis. Both primary and secondary data were collected. About 83 percent of the respondents' perceived temperature is higher, while multiple crops cultivation under dry land farms is the most predominant adaptation strategy. Ricardian regression results show the estimated coefficient for adaptation is positive and statistically significant, thus suggesting that farmers who adopted climate change adaptation strategies had higher net revenue than those who did not. The marginal effect estimates show that households with climate change adaptation measures tended to produce about 87 kg more of food per hectare than those who did not take such measures. This accounts for about 15% of change in output in the survey areas.展开更多
文摘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.
文摘This study evaluates the potential impacts of climate change on Nigeria's agriculture using Ricardian approach and brief analysis of farmer's adaptation strategies. Sampling was based on rural household survey conducted on farming households in all the six zones of the country. The sampling frame considered the traditional typology of the country's agro ecological zones and dominant agricultural commodities. Random sampling was used to select 800 farming households from each of the selected 20 villages; however, only 650 household's data were useful for subsequent analysis. Both primary and secondary data were collected. About 83 percent of the respondents' perceived temperature is higher, while multiple crops cultivation under dry land farms is the most predominant adaptation strategy. Ricardian regression results show the estimated coefficient for adaptation is positive and statistically significant, thus suggesting that farmers who adopted climate change adaptation strategies had higher net revenue than those who did not. The marginal effect estimates show that households with climate change adaptation measures tended to produce about 87 kg more of food per hectare than those who did not take such measures. This accounts for about 15% of change in output in the survey areas.