Purpose Human capital flight from Nigeria to developed countries has remained a topical issue. This paper aims to empirically analyze the push factors for the migrants who explore the various legal migrant schemes from a macro perspective. The authors examine human capital development and its role in contributing to human capital flight to more developed counties. Design/methodology/approach This paper is anchored on the push–pull model. Using secondary data from 1990 to 2019, the authors look at the relationship between human capital flight and variables such as life expectancy, infant mortality rate, population growth rate and Nigeria’s unemployment rate. The auto-regressive lag model (ARDL) was adopted to estimate the empirical relationship among these variables. Findings The results from the ARDL model suggest a positive relationship exists between population growth rate and migration rate. A negative relationship was, however, observed between life expectancy and migration rate. This study also found that an increase in the infant mortality rate negatively impacted migration significantly. Therefore, an increase in infant mortality rate lowered the migration rate. Finally, an increase in the unemployment rate increased migration; however, insignificantly. Research limitations/implications The findings from this study are limited to the push factors influencing migration out of Nigeria. These factors are also restricted to variables for which data can be derived under the study’s scope. The results of this study have far-reaching implications, especially for policymakers and citizens alike. Better human capital development through enhanced life expectancy and reduced population in Nigeria will reduce the migration rate. Therefore, this study calls for the doubling of developmental and infrastructural efforts at all levels of governance. Originality/value This paper’s importance lies in its ability to elucidate push factors that influenced migration out of Nigeria empirically. An empirical approach to the subject matter will explain these factors and the degree to which they influence migration. This will guide the policy-making process in curbing brain drain, which is a major challenge in Nigeria.
Purpose Population growth has remained a key issue facing developing economies in the world. While developed countries are experiencing diminished or negative population growth, many countries in sub-Saharan Africa including Nigeria are having population growth above the economic growth rate. With the deadline for the sustainable development goals approaching, attention is increasingly being focused on population growth and human capital development. Extant literature focused on population growth, human resource utilization and economic growth but this study aims to examine the effect of population growth on human resource utilization. Design/methodology/approach Using secondary data for the period 1990-2018, the study conducted unit root test and co-integration analyses to determine the stationarity and correlation in the long-run in the variables. The study used the error correction model to ascertain the speed at which shocks can be corrected in the long-run. Granger causality test was also carried out to ascertain the direction of causality among the variables. Findings The empirical results revealed that population growth has a negative and significant effect on human resource utilization. The study also revealed that unidirectional causality runs from employment rate to population growth rate and a unidirectional causality runs from employment growth rate to expected years of schooling. The Nigerian Government needs to not only control population growth but also focus on the quality of education. Originality/value The paper provides insights into the relationship between population growth and human capital utilization in Nigeria focusing on the 1986-2018 period.
Purpose This paper aims to measure multi-dimensional poverty in Lagos State slums. This study is relevant because slums are becoming a present-day reality for urban cities and it is now paramount to understand the dynamics of deprivations suffered under various dimensions in the slums. Design/methodology/approach A multi-stage sampling technique is used to sample 400 respondents from five slums (Makoko, Iwaya, Ilaje, IjoraBadia and Amukoko) in Lagos State and information have gotten using a structured questionnaire. The fuzzy set approach to measuring multi-dimensional poverty index (MPI) is used in estimating the MPI for the slums. Findings The findings from the study show that although all the slums have varying MPI; however, the average MPI for the slums is 0.49. Further findings show that majority of the households are largely deprived in the education dimension, proceeded by the living standards dimension and finally, health dimension. Research limitations/implications The current study focused on a few selected slums in Lagos State and findings show that it may be erroneous to absolutely adopt policy implications derived for other major slums in cities around the world. Originality/value This study advances the frontier of slum studies in Nigeria by following an analytical path in understanding the degree of poverty in the slums.
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