How financial development and economic growth influence human capital in low-income countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Ali ◽  
Syed Ali Ali Raza ◽  
Chin-Hong Puah ◽  
Shamim Samdani
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Financial Development ◽  
Low Income ◽  
Random Effect ◽  
Random Effect Model ◽  
Unit Root Test ◽  
Low Income Countries ◽  
Analysis Tool ◽  
Content Type

PurposeThis research aims to explain the effect of financial indicators and economic growth on human capital in low-income countries.Design/methodology/approachWe gathered balanced panel data from 1980 to 2016 over a sample of 12 low-income countries categorized by World Development Indicators. The data stationary properties were analyzed by unit root test while the existence of a long-run relationship among the variables was confirmed by cointegration test. We performed Hausman test to differentiate between the fixed effect and random effect model. The sensitivity analysis confirmed the robustness of the results.FindingsOur findings indicated that broad money supply and private sector credit has a positive and significant impact on human capital. Interestingly, bank credit showed a negative and significant effect on human capital. We also found a significant positive relationship between human capital and economic growth in the study sample.Originality/valueThis is a preliminary study using financial development and human capital in low-income countries with panel econometric techniques as an analysis tool. Overall, we suggest a policy to focus on the financial sector development and economic growth to produce sustainable human capital.

Institutions, human capital and entrepreneurial orientation: implications for growth policy

2018 ◽  
Vol 7 (2) ◽  
pp. 135-160 ◽  
Author(s):  
Thanti Mthanti ◽  
Kalu Ojah
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Low Income ◽  
Entrepreneurial Orientation ◽  
Research Policy ◽  
Empirical Support ◽  
Low Income Countries ◽  
Content Type ◽  
Growth Policy ◽  
Development Levels

Purpose The purpose of this paper is to establish a more robust empirical support for the long established postulation by Adam Smith and Joseph Schumpeter that human capital and institutions enable Schumpeterian entrepreneurship, which, in turn, facilitates economic growth. Design/methodology/approach Adopting entrepreneurial orientation (EO) (i.e. innovativeness, proactiveness and risk taking; Mthanti and Ojah, 2017, Research Policy, 46:4, pp. 724-739) as the measure of Schumpeterian entrepreneurship at the macro-level, and using a sample of 93 countries, over 1980-2008, the authors employ system Generalised Method of Moments to investigate institutions and human capital as possible determinants of Schumpeterian entrepreneurship (EO). Findings The authors find that the human capital-EO nexus is robust across economic development levels. However, there is a cross-country variation in the institutions-EO nexus. In line with theoretical predictions, institutions indeed drive EO in middle-to-high-income countries. However, in low-income countries, building institutions in order to foster EO yields perverse outcomes, which, for us and especially based on deeper analysis, suggest that improving the quality of institutions may not be a necessary precondition for EO/growth policy in low-income countries. Furthermore, the authors find that EO is a highly persistent series, with self-reinforcing network effects, i.e. lofty EO behaviour encourages more lofty EO behaviour. Research limitations/implications Drivers of macro EO are erroneously taken as of growth. This empirical analysis corrects the sequencing. Practical implications Policy practice must acknowledge macro-EO importantly has both direct and indirect growth effects. Originality/value This study is the first to empirically test the theoretical sequence between drivers of growth/EO and economic growth.

Financial development, human capital and its impact on economic growth of emerging countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aaqib Sarwar ◽  
Muhammad Asif Khan ◽  
Zahid Sarwar ◽  
Wajid Khan
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Financial Development ◽  
Emerging Economies ◽  
Generalized Method Of Moments ◽  
Emerging Countries ◽  
Data Set ◽  
Content Type ◽  
The World ◽  
The Impact

Purpose This paper aims to investigate the critical aspect of financial development, human capital and their interactive term on economic growth from the perspective of emerging economies. Design/methodology/approach Data set ranged from 2002 to 2017 of 83 emerging countries used in this research and collected from world development indicators of the World Bank. The two-step system generalized method of moments is used to conduct this research within the endogenous growth model while controlling time and country-specific effects. Findings The findings of the study indicate that financial development has a positive and significant effect on economic growth. In emerging countries, human capital also has a positive impact on economic growth. Financial development and human capital interactively affect economic growth for emerging economies positively and significantly. Research limitations/implications The data set is limited to 83 emerging countries of the world. The time period for the study is 2002 to 2017. Originality/value This research contributes to the existing literature on human capital, financial development and economic growth. Limited research has been conducted on the impact of financial development and human capital on economic growth.

scholarly journals SEGITIGA KEMISKINAN-PERTUMBUHAN-KETIMPANGAN (PGI TRIANGLE): PEMBANGUNAN KEUANGAN, PEMBANGUNAN MANUSIA, DAN KETIMPANGAN PENDAPATAN DI ASIA

2020 ◽  
Vol 28 (2) ◽  
pp. 77-89
Author(s):  
Rivanda Fadhila Indra Putra ◽  
Vera Lisna
Keyword(s):  
Income Inequality ◽  
Human Development ◽  
Financial Development ◽  
Low Income ◽  
Random Effect ◽  
Random Effect Model ◽  
Financial Sector ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Panel Data Regression

One of the issues faced by countries in asia is income inequality. Economic development is expected to improvepeoples living standards to minimize the gap between low-income and high-income populations. One of economicdevelopment is through financial development. The financial sector plays an important role in the economy of acountry, the development of the financial sector will indirectly increase the output of other sectors so as to tie thevalue of the gross domestic product (gdp). In addition to equality and economic growth, economic developmentalso needs to see whether the two are related to human development as described in the poverty-growth-inequality triangle (pgi triangle). The purpose of this study is to see a picture of the inequality of income distribution, financial development and human development in six asian countries. The analysis used descriptive statistics and panel data regression, specifically fixed effect model (fem) and the random effect model (rem). The result showed that there is a significant influence between financial development and human development on income inequality, the higher the financial development will reduce the level of inequality of a country. Meanwhile, the high value of human development actually increases inequality.

scholarly journals Does economic growth reduce childhood stunting? A multicountry analysis of 89 Demographic and Health Surveys in sub-Saharan Africa

2020 ◽  
Vol 5 (1) ◽  
pp. e002042 ◽  
Author(s):  
Sanni Yaya ◽  
Olalekan A Uthman ◽  
Michael Kunnuji ◽  
Kannan Navaneetham ◽  
Joshua O Akinyemi ◽  
...  
Keyword(s):  
Economic Growth ◽  
Low Income ◽  
Random Effect ◽  
Sub Saharan Africa ◽  
Low Income Countries ◽  
Gdp Per Capita ◽  
Demographic And Health Surveys ◽  
Per Capita ◽  
Sub Saharan ◽  
Childhood Stunting

BackgroundThere is mixed evidence and lack of consensus on the impact of economic development on stunting, and likewise there is a dearth of empirical studies on this relationship in the case of sub-Saharan Africa. Thus, this paper examines whether economic growth is associated with childhood stunting in low-income and middle-income sub-Saharan African countries.MethodsWe analysed data from 89 Demographic and Health Surveys conducted between 1987 and 2016 available as of October 2018 using multivariable multilevel logistic regression models to show the association between gross domestic product (GDP) per capita and stunting. We adjusted the models for child’s age, survey year, child’s sex, birth order and country random effect, and presented adjusted and unadjusted ORs.ResultsWe included data from 490 526 children. We found that the prevalence of stunting decreased with increasing GDP per capita (correlation coefficient=−0.606, p<0.0001). In the unadjusted model for full sample, for every US$1000 increase in GDP per capita, the odds of stunting decreased by 23% (OR=0.77, 95% CI 0.76 to 0.78). The magnitude of the association between GDP per capita and stunting was stronger among children in the richest quintile. After adjustment was made, the association was not significant among children from the poorest quintile. However, the magnitude of the association was more pronounced among children from low-income countries, such that, in the model adjusted for child’s age, survey year, child’s sex, birth order and country random effect, the association between GDP per capita and stunting remained statistically significant; for every US$1000 increase in GDP per capita, the odds of stunting decreased by 12% (OR=0.88, 95% CI 0.87 to 0.90).ConclusionThere was no significant association between economic growth and child nutritional status. The prevalence of stunting decreased with increasing GDP per capita. This was more pronounced among children from the richest quintile. The magnitude of the association was higher among children from low-income countries, suggesting that households in the poorest quintile were typically the least likely to benefit from economic gains. The findings could serve as a building block needed to modify current policy as per child nutrition-related programmes in Africa.

Does foreign direct investment cause economic growth? A dynamic panel data analysis for SADC countries

2016 ◽  
Vol 11 (3) ◽  
pp. 316-332 ◽  
Author(s):  
Edmore E Mahembe ◽  
Nicholas M Odhiambo
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Causal Relationship ◽  
Low Income ◽  
Panel Data Analysis ◽  
Low Income Countries ◽  
Middle Income ◽  
Fdi Inflows ◽  
Content Type ◽  
Middle Income Countries

Purpose – The purpose of this paper is to examine the causal relationship between inward foreign direct investment (FDI) and economic growth in Southern African Development Community (SADC) countries over the period 1980-2012. It also investigates whether the causal relationship between FDI inflows and economic growth is dependent on the level of income. Design/methodology/approach – In order to assess whether the causal relationship between FDI inflows and economic growth is dependent on the level of income, the study divided the SADC countries into two groups, namely, the middle-income countries and the low-income countries. The study used the recent panel-data analysis methods to examine this linkage. The Granger causality test for the middle-income countries was conducted within a vector-error correction mechanism framework; while that of the low-income countries was conducted within a vector autoregressions framework. Findings – The results for the middle-income countries’ panel show that there is a uni-directional causal flow from GDP to FDI, and not vice versa. However, for the low-income countries’ panel, there was no evidence of causality in either direction. The study concludes that the FDI-led growth hypothesis does not apply to SADC countries. Research limitations/implications – Methodology applied in this study is a bivariate framework which is likely to suffer from the omission of variable bias (Odhiambo, 2008, 2011). Second, the Granger causality analysis employed in this only investigates the direction of causality and whether each variable can be used to explain another, but does not directly test for the mechanisms through which FDI leads to economic growth and economic growth leads to FDI. Practical implications – Future studies may include a third variable such as domestic savings, exports, or financial development in a trivariate or multivariate panel causality model. A more complete analysis which seeks to explain the channels through which FDI impacts growth is suggested for future studies. Lastly, sector level analysis will help policy makers draft effective industrial policies, which can guide allocation of incentives. Social implications – The results of this study support the Growth-led FDI hypothesis, but not the FDI-led growth hypothesis. In other words, it is economic growth that drives FDI inflows into the SADC region and into Southern Africa, and not vice versa. This implies that the recent high economic growth rates that have been recorded in some of the SADC countries, especially the middle-income countries, have led to a massive inflow of FDI into this region. Originality/value – At the regional level, SADC as a regional bloc has been actively pursuing policies and strategies aimed at attracting FDI into the region. Despite the important role of FDI in economic development, and the increase in FDI inflows into SADC countries in particular, there is a significant dearth of literature on the causal relationship between FDI and economic growth. The study used the recent panel-data analysis methods to examine the causal relationship between FDI and economic growth in SADC countries.

scholarly journals Global incidence of surgical site infection after appendectomy: a systematic review and meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e034266 ◽  
Author(s):  
Celestin Danwang ◽  
Jean Joel Bigna ◽  
Joel Noutakdie Tochie ◽  
Aimé Mbonda ◽  
Clarence Mvalo Mbanga ◽  
...  
Keyword(s):  
Systematic Review ◽  
Surgical Site Infection ◽  
Low Income ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Open Appendectomy ◽  
Risk Of Bias ◽  
Low Income Countries ◽  
Site Infection

BackgroundAlthough surgical site infection (SSI) is one of the most studied healthcare-associated infections, the global burden of SSI after appendectomy remains unknown.ObjectiveWe estimated the incidence of SSI after appendectomy at global and regional levels.DesignSystematic review and meta-analysis.ParticipantsAppendectomy patients.Data sourcesEMBASE, PubMed and Web of Science were searched, with no language restrictions, to identify observational studies and clinical trials published between 1 January 2000 and 30 December 2018 and reporting on the incidence of SSI after appendectomy. A random-effect model meta-analysis served to obtain the pooled incidence of SSI after appendectomy.ResultsIn total, 226 studies (729 434 participants from 49 countries) were included in the meta-analysis. With regard to methodological quality, 59 (26.1%) studies had low risk of bias, 147 (65.0%) had moderate risk of bias and 20 (8.8%) had high risk of bias. We found an overall incidence of SSI of 7.0 per 100 appendectomies (95% prediction interval: 1.0–17.6), varying from 0 to 37.4 per 100 appendectomies. A subgroup analysis to identify sources of heterogeneity showed that the incidence varied from 5.8 in Europe to 12.6 per 100 appendectomies in Africa (p<0.0001). The incidence of SSI after appendectomy increased when the level of income decreased, from 6.2 in high-income countries to 11.1 per 100 appendectomies in low-income countries (p=0.015). Open appendectomy (11.0 per 100 surgical procedures) was found to have a higher incidence of SSI compared with laparoscopy (4.6 per 100 appendectomies) (p=0.0002).ConclusionThis study suggests a high burden of SSI after appendectomy in some regions (especially Africa) and in low-income countries. Strategies are needed to implement and disseminate the WHO guidelines to decrease the burden of SSI after appendectomy in these regions.Prospero registration numberCRD42017075257.

An empirical relationship between financial development indicators and human capital in some selected Asian countries

2017 ◽  
Vol 44 (3) ◽  
pp. 337-349 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Financial Development ◽  
Ordinary Least Squares ◽  
Development Economic ◽  
Asian Countries ◽  
Content Type ◽  
Development Indicators ◽  
Long Run ◽  
Panel Granger Causality

Purpose The purpose of this paper is to investigate the relationship between financial development indicators and human capital for Asian countries using the annual data from 1984-2013. Design/methodology/approach The stationarity of the variables are checked by Levin-Lin-Chu, Im-Pesaran-Shin, Fisher-type augmented Dickey-Fuller and Philips-Perron panel unit-root tests. The 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 panel dynamic ordinary least squares (PDOLS) and fully modified ordinary least squares (FMOLS) techniques are used. The short-term and long-run causality is examined by panel granger causality. Findings The Pedroni’s and Kao’s co-integration approaches support the existence of the long-run relationship among the indicators of financial development, economic growth and human capital. The PDOLS and FMOLS estimators revealed that both financial development indicators and economic growth variable act as an important driver for the increase in human capital. The results of panel granger causality indicate that causality runs from indicators of financial development, economic growth and public spending on education to human capital. Originality/value There is hardly any study that examine the impact of financial development indicators and economic growth on human capital in Asian economies, therefore the present study fill the research gap in the literature.

The Effects of Financial Development and Governance Quality on Economic Growth: Evidence from Developed and Developing Countries

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Assef Filfilan
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Financial Development ◽  
Low Income ◽  
Good Governance ◽  
Principal Component ◽  
Threshold Level ◽  
Low Income Countries ◽  
Domestic Credit ◽  
Governance Quality

This paper investigates the effects of financial development on economic growth with especial emphasis on the role played by governance quality. An indicator of governance built from the Principal Component factor method (PCF) and which takes into account the simultaneous effects of political, institutional and economic governance, is used in mediating such relationship. The study is carried out using a two-step system dynamic GMM method for 93 developed and developing countries over the 1996–2018 period. The findings from the study revealed that the effects of financial development on economic growth various according to the nature of governance and the level of development of countries.  Results show a non-significant effect of financial development on economic growth for low-income countries and a positively significant impact in middle and high-income ones. Estimations demonstrate also that good governance plays an important and significant role in mediating the finance-growth relationship. Finally, results demonstrate that there is a certain threshold level that countries must achieve to make government domestic credit to private sector favorable to economic growth.

scholarly journals The laffer curve and the debt-growth link in low-income Sub-Saharan African economies

2015 ◽  
Vol 42 (5) ◽  
pp. 878-892 ◽  
Author(s):  
Kelbesa Abdisa Megersa
Keyword(s):  
Economic Growth ◽  
Low Income ◽  
Public Debt ◽  
Sub Saharan Africa ◽  
Low Income Countries ◽  
Positive Contribution ◽  
Content Type ◽  
Laffer Curve ◽  
Negative Effect ◽  
Sub Saharan

Purpose – The study of the link between debt and growth has been full of debates, both in theory and empirics. However, there is a growing consensus that the relationship is sensitive to the level of debt. The purpose of this paper is to address the question of non-linearity in the long-term relationship between public debt and economic growth. Specifically, the author set out to test if there exists an established “laffer curve” type relationship, where debt contributes to economic growth up to a certain point (maximal threshold) and then starts to have a negative effect on growth afterwards. Design/methodology/approach – To carry out the tests, the author has used a methodology that delivers a superior test of inverse U-shapes (Lind and Mehlum, 2010), in addition to the traditional test based on a regression with a quadratic specification. Findings – The results in the paper present evidence of a bell-shaped relationship between economic growth and total public debt in a panel of low-income Sub-Saharan African economies. This supports the hypothesis that debt has some positive contribution to economic growth in low-income countries, albeit up to a point. Practical implications – The overall result supports the claim that public debt may start to be a drag on economic growth if it goes on increasing beyond the level where it would be sustainable. Originality/value – This paper leads the way by implementing a robust test of non-linearity (“inverse-U” test) to the analyses the debt-growth nexus and the laffer curve in Sub-Saharan Africa.

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