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The main purpose of this study is to identify the socioeconomic determinants of dropout from primary schools and to give policy suggestions to address the issue.

A total of 600 dropout and enrolled respondents were selected from 60 government primary schools of district Chiniot. School heads and parents of dropout children were taken as samples. The results were obtained by employing the Probit regression model.

Numbers of family members, age of the family head, exchange marriage and poverty status have positive relationship with dropout from primary schools. The findings revealed a higher rate of dropout among girls, which is a major cause of concern.

Education is regarded as a basic human right and a valuable human capital. It is included in Millennium Development Goals to achieve universal primary education and in Sustainable Development Goals as quality education. Underdeveloped countries are facing the problems of high dropout and lack of quality education, especially in Pakistan. These problems need to be addressed to keep pace with developed nations and to meet development goals.

It is recommended that government should create employment opportunities, family planning programs, legislature measures on exchange marriage and child labor. The involvement in co-curricular activities in learning and usage of audio-visual aids in the teaching process can improve the enrollment in the primary schools.

This paper aims to empirically examine the presence of a balance sheet channel (BSC) of monetary transmission mechanism (MTM) using firm-level panel data of Pakistan. It also explores the role of financial sector development (FSD) and firm age (FAge) in formulating the effect of monetary policy (MP) on the investment decisions of firms.

The authors applied the two-step system generalized method of moments (SYS-GMM) estimator proposed by Blundell and Bond (1998) to carry out the empirical analysis. The final sample of the study includes 450 nonfinancial firms listed at the Pakistan Stock Exchange (PXS) during the period 1988–2021. The empirical framework of the study is based on the new classical model of investment. Different measures of MP are used to obtain the robust empirical evidence. To take into account the different dimensions of FSD, the index developed by Svirydzenka (2016) is utilized. To examine the moderating role of FSD and FAge, the interacted model is estimated, which enables the authors to estimate the MP effects at different percentiles of the moderating variables.

The study’s findings confirm the existence of BSC by revealing that MP instruments have negative, significant effects on firms’ investment decisions. These findings suggest that during periods of tight MP, firms significantly cut their investment expenditures. The results of the interacted model show that both FSD and FAge play an important role in lessening the adverse effects of MP on firms’ investment policy. Specifically, the calculated total effects suggest that the negative effect of MP on investment is considerably weaker at the higher percentiles of FSD and FAge.

The findings of the study have several important policy implications for different stakeholders. Specifically, the evidence suggests that the monetary authorities should keep in mind the adverse effects of MP while designing tight MP. The tight MP will have a negative effect on firm investment, which, in turn, will adversely affect firm growth and subsequently the growth rate and level of employment in the economy. Thus, during episodes of tight MP, the authorities should provide other facilities such as a friendly tax environment, better legal and regulatory framework, special credit arrangements, and provisions of loan guarantees. The findings of the moderating role suggest that the government may improve FSD to minify the adverse impacts of tight MP. Finally, the findings suggest that the government should design external financing-friendly policies to provide more opportunities to newly established firms to avoid tight MP’s effects.

The findings of the moderating role suggest that the government may improve FSD to minify the adverse impacts of tight MP. Finally, the findings suggest that the government should design external financing-friendly policies to provide more opportunities to newly established firms to avoid tight MP’s effects.

There are three significant contributions of the paper. Firstly, it provides empirical evidence on the existing of BSC of MTM using firm-level panel data spanning over 43 years for an emerging and small economy, namely Pakistan. Secondly, it examines the moderating role of FSD and FAge in formulating the effects of MP. Finally, it presents the total impact of MP at different percentiles of FSD and FAge, which definitely broadens the understanding of MTM through indirect channels.

The abrupt outbreak of coronavirus disease (COVID-19) hit every nation in 2020–2021, causing a worldwide pandemic. The worldwide COVID-19 epidemic, described as a “black swan”, has severely disrupted manufacturing firms' supply chain. The purpose of this study is to investigate how supply chain data analytics enable the effective deployment of agility, adaptability and alignment (3As) strategies, resulting in improving post-COVID disruption performance. It also analyses the indirect effect of supply chain data analytics on disruption performance through the 3As supply chain strategies.

The hypothesis and theoretical framework were tested using a questionnaire survey. The authors employed structural equation modelling through the SMART PLS version 3.2.7 to analyse data from 163 textile firms located in Pakistan.

The results revealed that the supply chain data analytics contributed positively and significantly to the agility and adaptability, while all 3As supply chain strategies impacted the PPERF substantially. Further, the connection between supply chain data analytics (SCDA) and disruption performance has substantially been influenced through 3As supply chain strategies.

The results imply that in the event of low likelihood, high effect disruptions, managers and decision-makers should focus their efforts on integrating data analytics capabilities with 3As supply chain policies to ensure long-term company success.

This research sheds fresh light on the importance of data analytics in effectively implementing 3As strategies for sustaining company performance amid COVID-19 disruptions.

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.

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.

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.

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.

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.

The purpose of this study is to investigate the structural relationships between protean career attitude, career resilience, proactive career behavior and external employability.

This study sampled 212 training apprentice employees who participated in training programs using a proportional stratified sampling in South Korea. The study tested the research model using structural equation modeling.

This study revealed that protean career attitude influenced external employability through career resilience and proactive career behavior. Career resilience fully mediated the relationship between protean career attitude and external employability and partially mediated protean career attitude and proactive career behavior. Proactive career behavior also mediated the relationship between protean career attitude and external employability.

This study has a limitation by relying on cross-sectional data. In terms of theoretical implications, this study can add new knowledge to the protean career research by demonstrating that the protean career attitude influences perceived external employability through career resilience and proactive career behavior for the sample of young training apprentice employees.

This study uncovers the dynamic processes between protean career attitude and perceived external employability. Moreover, this study’s sample is significant because training apprentice employees are mostly young in their 20s and 30s with less than three years of working experience and working in small and medium-sized enterprises in South Korea.

This study aims to examine the effects of energy transition on pollution emissions in Africa. In addition, it explores the indirect channels through which energy consumption impacts environmental quality.

The study uses system Generalised Method of Moments approach for a panel of 51 developing African countries over the 1996–2020 period.

The results show that fossil fuel and renewable energy consumption increase pollution emissions. The environment-degrading effect of renewable energy in Africa is however counter-intuitive, though the results are robust across regional economic blocks and income groups except for upper-middle-income countries where energy consumption is environment enhancing. Moreover, the results show that the environmental impacts of non-renewable energy consumption are modulated through financial development and information and communication technology (ICT) adoption, leading to respective positive net effects of 0.04460796 and 0.07682873. This is up to respective policy thresholds of 203.265 and 137.105 of financial development and ICT adoption, respectively, when the positive net effects are nullified.

Contingent on the results, the study suggests the need for African countries to develop sound financial systems and encourage the use of green technologies, to ensure that energy transition effectively contributes to emissions reduction. Policymakers in Africa should also be aware of the critical levels of financial development and ICT, beyond which complementary policies are required for non-renewable energy consumption to maintain a negative impact on environmental degradation.

Firstly, extant studies on the nexus between energy transition and environmental degradation in Africa are very sparse. Therefore, this study fills the existing research gap by comprehensively examining the effects of energy transition on pollution emissions across 51 African economies. Additionally, besides accounting for the direct environmental effects of energy transition, the current study accounts for the indirect channels through which the environmental impacts of energy transition are modulated. Hence, this study provides critical thresholds for the policy modulating variables, which enlighten policymakers on the necessity of designing complementary policies once the modulating variables attain the established thresholds.