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This study investigates the long-run relationship between workers' remittances and human capital formation in Sri Lanka by using the macro-level time series data during the period of 1975–2020.

In this study, the augmented Dickey–Fuller (ADF) and Philips–Perron (PP) unit root tests, the autoregressive distributed lag (ARDL) bounds cointegration technique, the Granger causality test, the forecast error variance decomposition technique and impulse response function analysis were employed as the analytical techniques.

In accordance with the results of unit root tests, the variables used in this study are mixed order. Results of cointegration confirm that workers' remittances in Sri Lanka have both long-run and short-run beneficial relationship with human capital formation. The Granger causality test results indicate that there is a two-way causal relationship between workers' remittances and human capital formation. The results of forecast error variance decomposition expose that innovation of workers' remittances contributes to the forecast error variance in human capital in bell shape. Further, the empirical evidence of impulse response function analysis reveals that a positive standard deviation shock to workers' remittances has an immediate significant positive impact on human capital formation in Sri Lanka for a period of up to ten years.

This research provides insights into the workers' remittances in human capital formation in Sri Lanka. The findings of this study provides evidence that workers' remittances help to produce human capital formation.

By using the ARDL Bounds cointegration and other techniques in Sri Lanka, this study fills an important gap in academic literature.

This paper aims to analyze the pattern of public debt in Brazil, Russian Federation, India, China and South Africa (BRICS) in a comparative perspective. Besides, an attempt is made to verify the existence of debt overhang as suggested by Krugman (1988) among BRICS nations.

Annual panel data for BRICS for the period 1980-2016 has been used for the analysis. Percentage ratio method has been used to analyze the pattern of debt. Panel covariate augmented Dickey–Fuller (pCADF) test has been used to verify the time series properties of the variable, while panel cointegration test of Pedroni (1999) is used to check the existence of any co-integrating vector among the variables. Panel Granger causality test is used to check the causality between the variables.

Co-integration result suggests that there exists a strong long-run equilibrium relationship between debt service, domestic savings, capital formation and economic growth of BRICS nations. From Granger causality test, it is observed that domestic savings and capital formation are Granger caused by debt servicing. The coefficients from fully modified ordinary least squares measure a negative impact of debt service on gross capital formation and gross domestic saving. This suggests that the payment for debt service affects capital formation and gross domestic savings adversely. Thus, it gives primary signals for debt overhang effect in BRICS nations.

Allowing debt service to negatively affect the investment and potential investment will result in slowdown or stagnation in economic growth in the long run, so strategies need to be taken in BRICS nations to check the adverse effects of rising level of debt-service-payment-to-gross national income ratio on domestic savings and capital formation. BRICS nations need to reduce their debt service payment by undertaking appropriate strategy of debt overhaul and fiscal management so that domestic savings and capital formation in the country will not be adversely affected. Besides, BRICS nations need to take measures to augment its domestic savings and capital formations.

To the best of the authors’ knowledge, no published works have analyzed the pattern of public debt for BRICS (major developing nations). Debt servicing is also not checked for BRICS in recent papers, considering overhang approach.

This study aims to explore the possibility that securities markets in selected African countries of Egypt, Kenya, Nigeria and South Africa play a significant role in capital accumulation using panel data analysis. This is done by exploring the relationship between gross fixed capital formation on the one hand and financial market development indicators on the other hand. Thus, the study aims to examine if stock market size and liquidity are determinants of capital accumulation.

The analysis is based on annual times series from 1991 through 2017 spanning four African stock markets. The analysis utilizes the fixed-effect and random-effect econometric models. The Durbin–Wu–Hausman test is used to choose between the two models.

The key results indicate that stock market capitalization is a positive determinant of gross fixed capital formation. The market value traded and turnover have no relationship with capital formation. Therefore, the role of stock African stock markets in promoting capital accumulation and, subsequently, industrial growth in Africa is seriously questioned.

Only a handful of studies have examined the role of the African securities market in promoting capital accumulation. This study is unique in which it focuses on the leading stock markets in the four corners of Africa. The markets are from Egypt in the north, South Africa from the south, Nigeria from the west and Kenya from the east. These four markets account for a significant segment of all African markets.

The purpose of this study is to examine the impact of green finance (i.e. green investment, green security and green credit) along with capital formation and government educational expenditures on the economic development of (ASEAN) countries.

The data were gathered from the central banks of all ASEAN countries and the World Bank Indicators between 2008 and 2019. The fixed-effect model and generalized method of moments were used to check the nexus between the constructs.

The results revealed that green finance along with capital formation and government educational expenditures have a positive association with the economic development of ASEAN countries.

The study carries some limitations, even though it addresses the underlying variables comprehensively. These limitations provide opportunities to future researchers and authors to expand the scope and accuracy of their study. This research investigation has been supported by the data collected from a single source. Though data collection is maintained correctly, it is still recommended to the upcoming scholars to acquire data to reconfirm the same findings using multiple data sources. The data collected from using some specific data source may be limited in scope and may hinder the comprehensive elaboration of the underlying variables and their mutual relationship. Therefore, the utilization of multiple sources of data collection gives data sufficient to meet the requirement of an okay quality research study. The study is about the economies of ASEAN countries. It checks the influences of green finance development on economic activities and the country's economic growth in ASEAN countries' economies. Thus, its results are valid only in the economies of these countries, and this research investigation lacks generalizability. For generalizability, the authors must consider the underlying variables in the world's vast economies. They must adopt a standard scale to judge the impacts of green financial development on economic development. Besides, the study analyzes the economic factors, economic conditions and their effects on the country's position in the world economy in the face of a severe epidemic like COVID-19. Thus, the results may be different in the case of the normal situation. So, a general standardized study is recommended to be conducted in the upcoming days.

Green finance has significant capability to improve the global economy, especially amidst the COVID-19 pandemic. This study is beneficial for policymakers to develop policies related to economic development with reference to green finance and also helps future research on a similar topic.

Households suffering from poverty often rely on parental migration and/or paid child labour for survival. The purpose of this paper is to investigate the effects of parental migration on paid child labour and human capital formation in a dynamic context, explicitly taking the effects of parental migration on child’s school and home education into account.

The author utilises a mathematical method. In particular, an overlapping-generations model is built, with agents who have a two-period life. The amount of paid child labour is determined as a solution of the utility maximisation problem.

Contrary to intuition, parental migration possibilities do not necessarily reduce paid child labour. In addition, parental migration possibilities do not necessarily raise human capital. Moreover, a trade-off might exist between alleviating paid child labour and raising human capital under parental migration possibilities.

Migration possibilities are given exogenously evenly among potential migrants by the foreign country. However, in general, they depend on potential migrants’ human capital so that migration possibilities differ across agents.

Migration is usually considered effective in alleviating poverty. However, since it does not necessarily reduce paid child labour and raise human capital, migration should be regulated in some cases as a means to escape from poverty.

This paper deals with parental migration and paid child labour in an identical dynamic model. This paper assumes that human capital is built not only by school education but also home education, the amount of which changes with the duration of parental migration.

The continuous increase in the negative gap between biocapacity and ecological footprint has remained globally persistent since early 1970. The purpose of this study is to examine the effect of foreign capital, domestic capital formation, institutional quality and democracy on ecological footprint within a global panel of 101 countries from 1995 to 2017.

The empirical procedure is based on data mix. To this end, this study uses a battery of testing and estimation approaches both conventional (no cross-sectional dependence [CD]) and novel approaches (accounting for CD). Among the battery of estimation techniques used, there are the dynamic ordinary least square, the mean group, the common correlation effect mean group technique, the augmented mean group technique, the Pooled mean group and the dynamic common correlation effect technique with the desire to obtain outcomes robust to heteroskedasticity, endogeneity, cross-correlation and CD among others.

The estimated outcomes indicate that using different estimators’ domestic capital formation consistently degrades the environment through an increase in ecological footprint, while institutional quality consistently enhances the quality of the environment. Further, the outcome reveals that, though foreign capital inflow degrades the environment, the time period is essential, as it shows a short-run environmental improvement and a long-run environmental degradation. Democratic activities show a mixed outcome with short-run degrading effect and a long-run enhancement effect on environmental quality.

Green investment should be the policy target of all economies, and these policies should be adopted to target both domestic capital and foreign capital alike. Second, the adoption of democratic practices will produce good leaders that will not just design short-term policies to blindfold the populace temporary but those that will produce long-term-oriented practices that will better and enhance the quality of the environment through the reduction of the global footprint. Equally, enhancing the institutional framework like respect for the rule of law in matters of abatement should be encouraged.

Although much research on the role of macroeconomic indicators on environmental quality has been done this far, democratic practices, intuitional quality and domestic capital have been given little attention. This research fills this gap by considering robust empirical techniques.

The purpose of this paper is to investigate the impact paths of the social capital and the effects of microfinance in rural China, and address effective methods to enhance the effects of microfinance for rural China.

Using a structural equation model with survey data from 350 rural households in China, this paper analyzes empirically whether greater level of social sanctions and social relations caused more tangible effects of microfinance, and whether tangible effects of microfinance are associated with social capital formation of households.

The results indicate that social capital promotes the effects of microfinance and the process of providing microfinance service is also the process of building social capital. Moreover, social sanctions diminish the effects of microfinance while social relations boost them and enhance the effects of microfinance that can encourage social capital formation. Results also show that a reverse causal relationship exists between social sanctions and social relations.

The empirical results imply that actively utilizing and creating social capital is vital to improve the effects of microfinance, and microfinance institutions (MFIs) should concentrate more on harmonious social relations and deliberately build social capital.

These findings imply that actively utilizing and creating social capital is vital to improve the effects of microfinance, and the MFIs should concentrate more on harmonious social relations and deliberately build social capital to enhance the effects of microfinance while prudently use social sanctions.

Enhancing the effects of microfinance, while prudently using social sanctions, increases households income.

This paper originates to investigate the links between the social capital and the effects of microfinance in a mutual way, and the results urge more attentions on the harmonious social relations which have been ignored to enhance the effects of microfinance.

The purpose of this study is to investigate long-run and short-run relationships between trade diversification, financial system development, capital formation and economic growth.

ARDL estimation approach is applied to analyze long-run and short-run relationships between the financial system development, capital formation, economic growth and trade diversification in case of the Sultanate of Oman over the period 39 years starting from 1979 till 2017.

The results show that financial system development and economic growth has a positive impact on trade diversification in the short-run and long-run. However, capital formation has a negative impact on trade diversification in the short run and long run. The negative relationship between trade diversification and capital formation implies that over the period of study, the investment in capital goods was made to enhance the production capacity of the oil sector to maximize revenue.

This research is limited to analyze long-run and short-run relationship between the financial system development, capital formation and economic growth and trade diversification in case of Sultanate of Oman.

To achieve the diversification goal, the policymakers need to formulate policies to strengthen the financial system and invest in infrastructure development to promote the non-oil sector. The research findings of this study will provide insights to the policymakers to formulate an effective diversification policy.

This research contributes to the existing literature by providing empirical evidence of the short-run and long-run analysis of the selected variables in the context of an oil-dependent country.

The purpose of this paper is to investigate how parental migration due to poverty affects a child’s education and human capital formation through changes in the child’s supply of unpaid labour.

The paper uses a small open overlapping generations model where the parent migrates for the family’s subsistence and that the child has to give up a part of education to do the housework during the parent’s absence.

The paper finds that given the level of the human capital, reducing the child’s burden of housework and promoting parental migration to high-wage countries do not necessarily raise the amount of child’s education. The paper also finds a possible underdevelopment trap in the dynamic context.

Unlike previous studies on child labour, this paper focuses on unpaid labour, whose share is actually larger than that of paid labour. Even if paid labour is available, children cannot re-allocate their time from doing the housework to the market work; so the author cannot disregard this observation. Investigation into the dynamics of human capital formation under such child labour is new.

This paper aims to clarify the factors that affect the formation of organizational human capital competitive advantage (OHCCA) and construct its structural dimensions.

This research method adopted grounded theory using 20 interviews of managers from 10 companies. Relevant literature was reviewed to conduct open coding, Axial coding and selective coding to ensure OHCCA concept and dimensions.

Studies have shown that OHCCA formation of results from investment and collaboration of three levels: organization, teams and departments and employees. OHCCA formation is composed of three dimensions of organizational human capital investment: planning, practice and stock.

This research enriches the organizational human capital and competitive advantage theories.

The practical significance is to provide theoretical and practical guidance for organizations in creating OHCCAs.

This research is the first to propose and define the OHCCA concept and construct a three-dimensional structure model. Furthermore, this research has revealed the leading factors that affect OHCCA's formation process.