Attainment of 70 years life expectancy by 2020 is one of the millennium development goals in Nigeria. This study examined the socio-economic determinants of life expectancy in Nigeria using data from 1980-2011. Judging from the endogeneity feature of the variables, A VAR and VECM frameworks were employed. Socio-economic features were proxy by secondary school enrolment, government expenditure on health, per capita income, unemployment rate and the Naira foreign exchange rate. It was found that, the conventional socio-economic variables such as per capita income, education and government expenditure on health considered to be highly effective in determining life expectancy of developing countries are not significant in the case of Nigeria. The study however suggests that, life expectancy in Nigeria could be improved if attention is given to quality of government health expenditure, unemployment and measures to halt the depreciation of the Nigerian Naira against major foreign currency.
Purpose The purpose of this paper is to examine female labour force participation (FLFP) and their employment choice between the formal and informal sectors after several institutional and social reforms such as Millennium Development Goal 3 aimed at promoting gender equality and empowerment of women by 2015, using data from Ghana’s 2010 Population and Housing Census. Design/methodology/approach In this paper, logit regression and multinomial logit techniques were employed. Findings The results show that FLFP has declined marginally from the 2005 figures; education remains the important factor in determining women’s participation in the formal sector. Strikingly 91 per cent of the FLFP is engaged in the informal sector of the Ghanaian economy, a sector with a very low contribution per head. Practical implications Interventions such as encouraging female education and retraining of self-employed females to improve upon their efficiency ought to be pursued vigorously; whiles developing rural areas for females to get equal labour opportunities and many others aimed at enhancing the efficiency and by inference earning per head of the informal sector is highly recommended. Originality/value The literature on the FLFP is thin in Ghana. The current study uses a census data unlike the previous studies and as such employed a huge sample size that reflects the reality in Ghana. The study contributed immensely to policy having established that 91 per cent of the female labour force is engaged in the informal sectors of the economy, and therefore any intervention targeting at reducing poverty and meeting the MDG 3 should be targeted at the informal sector of the Ghanaian economy.
Purpose The purpose of the paper is to examine the extent and trends of income inequality as well as the contribution of household and community-level factors in explaining inequality within north and south in Ghana. Design/methodology/approach The study employs both descriptive and regression methods. The study adopts the methodology by Fields (2002) to assess the importance of household and community attributes in explaining the level of inequality within the north and the south. Findings The findings of the study show that household characteristics such as urban location, no education, public and private formal economic activities, and not covered by National Health Insurance Scheme are major determinants of inequality within the north and the south. Specifically, within the north, the 20-34 year age group is the most prominent contributor to inequality. Within the south, the most important determinant of inequality is the completion of junior high school. The contribution of community-level features shows that, within the north, access to banks is the most vital factor to inequality, whereas within the south, access to electricity and public transport is the most important community factor. Practical implications The study provides an understanding of the underlying household and community factors driving the observed inequality patterns within the north and the south in Ghana. Policy options are identified for achieving the sustainable development goals. Originality/value The study uses the latest round of the Ghana Living Standards survey, GLSS 6, which covers new data on a nationally representative sample of 18,000 households in 1,200 enumeration areas.
PurposeIn Ghana, even though scholars and experts in the field of economics and finance have expressed their opinions and perceptions on the effect of the pandemic on the Ghana Stock Exchange, there has been no study conducted to that effect. This study, therefore, aimed at examining the impact of COVID-19 on the stock returns on the Ghana stock exchange. This would help policy makers and investors in making efficient decisions.Design/methodology/approachThe outbreak of the novel COVID-19 has been a thorn in the flesh of the world in its entirety, affecting many aspects of life including the stock market. This study, therefore, examined the impact of the outbreak on the stock returns of the Ghana Stock Exchange. The study utilized data from the All Share Prices of the Ghana stock exchange, commonly known as the Ghana stoke exchange composite index (GSECI) for analysis. The data covered the period before the outbreak of COVID-19 and during the outbreak. It was revealed that the Ghana stock exchange experienced better returns on the market before the outbreak of the virus. The outbreak of COVID-19 has led to wide variations in the market increasing the risk of investments. The exponential General Autoregressive Conditional Heteroscedasticity (EGARCH) (1, 1) model also reveals that the outbreak of COVID-19 has a significant negative effect on the returns in the market. The market in these periods of COVID-19 is highly volatile. It is recommended that investors should carefully consider risk mitigation strategies to enable them diversify their investments effectively and efficiently against the high risk associated with the market in this COVID-19 era.FindingsIt was revealed that the Ghana stock exchange experienced better returns on the market before the outbreak of the virus. The outbreak of COVID-19 has led to wide variations in the market increasing the risk of investments. The EGARCH (1, 1) model also revealed that the outbreak of COVID-19 had a significant negative effect on stock returns in the market. The market during these periods of COVID-19 was viewed as highly volatile.Research limitations/implicationsThe outbreak of COVID-19 is hence deduced to have a negative impact on the Ghana stock exchange. However, the knowledge of how the market has been affected by the disease, it is important that financial risk mitigation studies be undertaken. This goes beyond what this study has done. The study can further be expanded to include other important economic variables such as GDP, inflation, exchange rates and the likes in to the model.Practical implicationsInvestors should carefully consider risk mitigation strategies to enable them diversify their investments effectively and efficiently against the high risk associated with the market in this COVID-19 era.Social implicationsIt is also important that investors consider diversification of their investments in order to reduce the risk in their investments. It will be more appropriate for most investors to invest with companies such as banks and the telecommunications companies listed on the on the market. This is because most of the telecommunication companies in these times have taken advantage and are making good profit on their businesses. Likewise, some of the financial institutions are considered essential institution in these times. Investing in industries such as manufacturing and the oil and gas sector may be more risky.Originality/valueThe decline in economic and financial market indicators could be credited to the failure of most business entities, organizations and firms which are struggling to sustain their operations in these times of COVID-19. These also include firms listed on the Ghana stock exchange with whom investors transact their daily businesses. However, about 70% of the Ghanaian economy heavily depends on these business and firms found in the private and informal sector. According to the Ghana Statistics Service COVID-19 Business Tracker Survey, about 131,000 businesses expressed their uncertainties with the business environment and also faced the challenge of financial accessibility. The study is appropriate to unearth the true effect and offer policy interventions.
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