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The purpose of this paper is to empirically investigate whether market size and its growth rate, along with financial development indicators, affect human capital in selected south Asian economies over the time period from 1984 to 2015.

The stationarity of the variables are checked by LLC, IPS, ADF and Phillips–Perron panel unit-root tests. Pedroni’s and Kao’s panel co-integration approaches are employed to examine the long-run relationship among the variables. To estimate the coefficients of co-integrating vectors, both PDOLS and FMOLS techniques are used. The short-term and long-run causalities are examined by panel granger causality.

From the empirical results, the authors found that both the market size and financial development play an important role in the development of human capital in the selected south Asian economies. It is evident that a large market size and faster degree of financial development in the selected countries result in better human capital formation.

There are a number of studies on the impact of financial development indicators on human capital and economic growth, but there is hardly any study that considers market size and its growth rate along with financial development indicators with human capital in the context of south Asian economies. The study fills this research gap.

The purpose of this study is to examine the effect of foreign aid (FA) on corruption in selected Asian countries (Pakistan, India, Srilanka and Bangladesh) using the panel data from 2000 to 2014.

The author used Levin-Lin-Chu and Im-Pesaran-Shin panel unit root tests to check the stationary properties of the variables. The Pedroni’s and Kao panel cointegration approach was applied to analyze the variable’s long-run relationship. The author used panel dynamic ordinary least squares (PDOLS) and fully modified ordinary least squares (FMOLS) framework to estimate the coefficients of cointegrating vectors. Additionally, the panel granger causality test was performed to check the causal relationship between the variables.

The results from PDOLS and FMOLS indicate that FA has a significant negative impact on the level of corruption. This infers that the foreign assistance decrease the level of corruption perception index, hence, more corruption in the country.

Overall, the study fulfills the need to understand the aid-corruption nexus, particularly in the case of the Asian region.

Although a lot of research has been done on the link between self-employment and unemployment, often focusing on the short-run of the relationship, the long-run association between the two variables has not received adequate attention. The paper aims to discuss these issues.

In this paper the authors examine the long-run relationship between self-employment and unemployment using panel cointegration methods allowing for structural breaks and covering a wide range of European OECD countries using the COMPENDIA data set over the period 1990-2011.

The findings indicate that a long-run relationship between self-employment and unemployment exist in the panel, but the cointegrating coefficients are unstable.

The estimates finds positive and statistically significant long-run association between self-employment and unemployment exists for more than 50 per cent of the countries included in the sample after the break. For the rest of the countries the authors find either negative or statistically insignificant association.

The purpose of this paper is to investigate the relationship between infrastructure development, rural–urban income inequality and poverty for BRICS economies.

Pedroni’s panel co-integration test and panel dynamic ordinary least squares (PDOLS) have been used to carry out the analysis.

The empirical findings confirm a long-run relationship among infrastructure development, poverty and rural–urban inequality. The PDOLS results suggest that both infrastructure development and economic growth lead to poverty reduction in BRICS. However, rural–urban income inequality aggravates poverty in these nations. The paper advocates for adopting policies aimed at strengthening infrastructure and achieving economic growth to reduce the current levels of poverty prevailing in the BRICS nations.

Significant limitations exist in the literature in terms of not clearly defining the nature of relationship and interlinkages between infrastructure development, poverty and inequality, with regard to the BRICS nations. The available studies mainly focus on the relationship between infrastructure and growth, with the universal agreement being that these two are positively related. However, it is still not right to assume that economic growth attributable to infrastructure development will, therefore, subsequently lead to a reduction in inequality. This forms the basis for this study, that is, to critically examine the relationship between infrastructure development, inequality and poverty for BRICS nations.

Appropriate job selection and career planning largely determine successful career development. Investigates some aspects of career development in industrial management from a sample survey conducted over the manufacturing industries in Taiwan. Derives regression lines reflecting the salary changes at different ages for different education levels and education majors. Develops a career path chart displaying the position migration trend. To assist ambitious individuals seeking industrial management as a career, discusses desired qualifications including education level, educational discipline and educational training.

The purpose of this study is to examine the existence of discouraged worker effect hypothesis and unemployment invariance hypothesis in Africa, including its five regional groups. Specifically, the study tests the existence of co-integration between different categories of labour force participation and unemployment rate, total male and female labour force participation and the unemployment rate for age brackets 15–24, 15–64 and 15+, respectively.

The study uses the data of 52 countries in Africa which cover the period from 1991 to 2018. Three co-integration estimation techniques namely, the Kao co-integration test, Pedroni co-integration test and Westerlund co-integration test are used to validate the existence of co-integration between the labour force participation and unemployment rate. The dynamic ordinary least square is further used to explore the impact of the unemployment rate on labour force participation, while the pooled ordinary least squares (POLS) that accounts for individual country and time effects is employed for robustness check.

Except for Southern Africa, it is found that the discouraged worker effect hypothesis holds in Africa and the rest of its regions. This suggests that there is a long-run relationship between labour force participation rate and unemployment rate irrespective of age group and gender classifications. To some extent, the authors discover the existence of cross-sectional dependence in the panel. There is also an inverse relationship between labour force participation and the unemployment rate. This implies that when the unemployment rate is high, labour force participation tends to decline. The results are, however, sensitive to the choice of estimation method.

The study is limited to the examination of linear co-integration between labour force participation and the unemployment rate in Africa and its five regions. The future study can investigate the possibility of a nonlinear or an asymmetric relationship between labour for participation and the unemployment rate.

Thus, a policy framework that would generate employment creation is greatly required in Africa.

To the best of the authors’ knowledge, this is a pioneer work that addresses the issue of co-integration between labour force participation and unemployment rate for Africa and its five regions taking into consideration gender and age brackets of labour force participation and unemployment.

In this chapter, we study the asymptotic distributions for ordinary least squares (OLS), fully modified OLS (FMOLS), and dynamic OLS (DOLS) estimators in cointegrated regression models in panel data. We show that the OLS, FMOLS, and DOLS estimators are all asymptotically normally distributed. However, the asymptotic distribution of the OLS estimator is shown to have a non-zero mean. Monte Carlo results illustrate the sampling behavior of the proposed estimators and show that (1) the OLS estimator has a non-negligible bias in finite samples, (2) the FMOLS estimator does not improve over the OLS estimator in general, and (3) the DOLS outperforms both the OLS and FMOLS estimators.

Gives an account of recent trends in the electronics industry and makes predictions for the next 20 years.

The purpose of this paper is to empirically investigate whether inward remittance leads to export performance in selected South Asian economies over the time period of 1993–2017.

The stationarity of the variables is checked by Levin, Lin and Chu t, Breitung t-stat., Im, Pesaran and Shin W-stat., ADF–Fisher and Philips–Perron–Fisher panel unit root tests. Panel Granger Causality is used to verify the short-run causality. Pedroni’s, Kao’s and Johansen–Fisher panel cointegration approaches are employed to examine the long-run relationship among the variables. Panel VECM is used to confirm the existence of a long-run relationship among the variables.

Panels FMOLS and DOLS show that remittance inflows have negatively impacted the export performance of the selected South Asian countries during the study period. Granger Causality and VECM test confirm the existence of short-run and long-run relationship among the variables. The authors conclude that inward remittance is affecting export performance negatively during the study period. Furthermore, inward remittances occupy a major source of development finance for selected South Asian countries.

The study uses a dynamic macroeconomic modeling framework to assess the inward remittance on export performance in South Asian countries. Taking into account the diversity of the level of growth experienced by the five countries in the Asian region, the study uses an appropriate regression technique, i.e. panel dynamic OLS whose results are robust. As exports are a proven way to further economic growth, this study fills a vital gap in the literature by ascertaining the degree of impact of remittances in influencing outbound exports from the South Asian region.