scholarly journals The relationship between financial development indicators and human capital in Iran

2013 ◽  
Vol 3 (4) ◽  
pp. 1261-1272 ◽  
Author(s):  
Hamed Adeli Nik ◽  
Zahra Sattari Nasab ◽  
Yunes Salmani ◽  
Nima Shahriari
2019 ◽  
Vol 46 (7) ◽  
pp. 887-903 ◽  
Author(s):  
Narayan Sethi ◽  
Bikash Ranjan Mishra ◽  
Padmaja Bhujabal

Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.


2021 ◽  
Vol 11 (2) ◽  
pp. 88-97
Author(s):  
Oluwatobi O Omotoye ◽  
Zaccheaus, O. Olonade ◽  
Olumide, O. Omodunbi

The study assessed the impact of corruption practices and government effectiveness (GE) on human capital development (HCD) in Nigeria between the years 2003 and 2020, Panel data from 2003 to 2020 were obtained from the database of United Nations Development Programme, World Development Indicators and CIP and were analysed using the ordinary least square method which is suitable for the dataset. The study found that corruption has a significant relationship with HCD in Nigeria while the relationship between GE and HCD is not significant. The research implication is that the persistent problem of slow and sometimes stagnant HCD and growth in Nigeria can be reversed by improving GE and by reducing corrupt practices in the country. The paper concluded that corruption practices have a very strong influence on HCD in Nigeria, while the relationship between GE and HCD is insignificant. It was recommended that Nigeria should institute stiffer punishments for offenses bothering on corruption practices.   Keywords: Corruption, human capital, development, government effectiveness, Nigeria.


Author(s):  
Asuman Koc Yurtkur

Along with the globalization process, the relationship between the existence of an advanced financial system, financial development and economic growth has become one of the most debated issues. The financial system, development and development indicators, which play an important role in the overall success levels of the economy, are among the topics to be considered due to this importance. In this study, financial development, economic growth, and theoretical approaches are discussed. Moreover, the fact that the subject is empirically presenting evidence requires examination of this situation with studies in the literature. The presence of the findings obtained empirically, in particular Turkey's economy has made it necessary to include a large empirical literature. The generally accepted financial development indicators, which provide comparability in terms of countries, are examined in terms of financial markets and financial institutions in terms of depth, access, stability and efficiency during the period 2005-2015.


2019 ◽  
Vol 11 (1) ◽  
pp. 157
Author(s):  
Mehmet Nar

The current growth literature has focused on the contribution of the human and financial variables to growth. This has led to an insufficient and low number of studies investigating the relationship between the financial and human variables. However, in order to establish effective public policies, the correlation between these two variables must be well known. In line with this necessity, this study aimed to contribute the relevant literature by investigating the relations of the two variables in the case of Turkey. To do so, firstly, the human and financial development index for Turkey was established. Subsequently, the financial development indicator was measured through the M2/GDP ratio, and the human capital indicator was measured through the education and health expenditures/GDP ratio. Through the econometric analysis carried out using the data from the period of 1998-2016, the existence of causality and the direction of this causality between the financial development and human capital accumulation in Turkey were investigated. As a result, it was observed that in Turkey, while financial development causes the accumulation of human capital, there is no significant causality directed from human capital to financial development.


2017 ◽  
Vol 44 (3) ◽  
pp. 337-349 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri

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.


2018 ◽  
Vol 9 (2) ◽  
pp. 167-192
Author(s):  
Brian Muyambiri ◽  
Nicholas M. Odhiambo

This article summarises the empirical literature on the impact of financial development on investment. It presents a topical analysis of empirical research that focuses mainly on the interaction between financial development and investment, determinants and measurement of both financial development and investment, and empirical findings on the relationship between the two variables under discussion. The study concludes that most of the research done on the relationship between financial development and investment is highly skewed towards assessing the relationship using mostly bank-based financial development indicators, as compared to the market-based financial development indicators. Given the number of studies assessed, the impact of financial development on investment appears to be inconclusive, at best. Moreover, the study shows that the relationship between these two macroeconomic variables seems to differ from country to country; it is dependent on the proxies used to measure the level of financial development, as well as the methodology employed.


2018 ◽  
Vol 9 (2) ◽  
pp. 167-192
Author(s):  
Brian Muyambiri ◽  
Nicholas M. Odhiambo

[full article and abstract in English] This article summarises the empirical literature on the impact of financial development on investment. It presents a topical analysis of empirical research that focuses mainly on the interaction between financial development and investment, determinants and measurement of both financial development and investment, and empirical findings on the relationship between the two variables under discussion. The study concludes that most of the research done on the relationship between financial development and investment is highly skewed towards assessing the relationship using mostly bank-based financial development indicators, as compared to the market-based financial development indicators. Given the number of studies assessed, the impact of financial development on investment appears to be inconclusive, at best. Moreover, the study shows that the relationship between these two macroeconomic variables seems to differ from country to country; it is dependent on the proxies used to measure the level of financial development, as well as the methodology employed.


2019 ◽  
Vol 24 (47) ◽  
pp. 113-126 ◽  
Author(s):  
Biplab Kumar Guru ◽  
Inder Sekhar Yadav

Purpose The purpose of this paper is to examine the relationship between financial development and economic growth for five major emerging economies: Brazil, Russia, India, China and South (BRICS) during 1993 to 2014 using banking sector and stock market development indicators. Design/methodology/approach To begin with, the study first examined some of the principal indicators of financial development and macroeconomic variables of the selected economies. Next, using generalized method of moment system estimation (SYS-GMM), the relationship between financial development and growth is investigated. The banking sector development indicators used in the study include size of the financial intermediaries, credit to deposit ratio (CDR) and domestic credit to private sector (CPS), whereas the stock market development indicators are value of shares traded and turnover ratio. Also, some macroeconomic control variables such as inflation, exports and the enrolment in secondary education were used. Findings The examination of the principal indicators of financial development and macroeconomic variables have shown considerable differences between the selected economies. Results from the dynamic one-step SYS-GMM estimates confirm that in presence of turnover ratio, all the selected banking development indicators such as size of financial intermediaries, CDR and CPS are positively significantly determining economic growth. Similarly, in presence of all the selected banking sector development indicators, value of shares traded is found to be positively significantly associated with economic growth. However, the same is not true when turnover ratio is regressed in presence of banking sector variables. Overall, the evidence suggests that banking sector development and stock market development indicators are complementary to each other in stimulating economic growth. Practical implications A positive association between financial development and growth indicates that the policymakers should take necessary measures toward simultaneous development of both banking sector as well as stock market for inducing growth. Originality/value The present paper attempts to examine the relationship between financial development and growth using both banking sector and stock market development indicators which has not been attempted before for BRICS. Also, most of the existing studies are found in case of developed economies. This paper tries to fill this void by studying five major emerging economies.


2014 ◽  
Vol 41 (12) ◽  
pp. 1194-1208 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri

Purpose – The purpose of this paper is to examine the relationship between financial development indicators and human development in India using annual data from 1980-2012. Design/methodology/approach – The Ng-Perron unit root test is used to check for the order of integration of the variables. The long run relationship and short run dynamics are examined by implementing the ARDL bounds testing approach to co-integration. Granger’s non-causality test and variance decomposition techniques are also used to examine the impact of financial development indicators on human development. Findings – The results confirm a long run relationship among the variables. The results of granger non causality indicate that unidirectional causality runs from financial development indicators to human development index (HDI). The variance decomposition analysis shows that among all the financial indicators, broad money supply (M3) has the largest contribution to changes in human development in India. Research limitations/implications – The present study recommends for appropriate reforms in financial market to attain sustainable human development in India. The findings will be useful for India’s policy makers, in order to maintain the parallel expansion of financial development and human development. Originality/value – This paper is first of its kind to empirically examine the casual relationship between financial development indicators and human capital development proxied by HDI in India by using modern econometric techniques.


2020 ◽  
Vol 8 (2) ◽  
pp. 68
Author(s):  
Bilgehan Tekin

The purpose of this study to examine the relationship between financial development and human development in the health and welfare dimensions of developing countries. This study aims to determine whether the financial developments of the countries have an effect on the basic human development of the individuals and whether human development indicators have an impact on financial development. In this study, the relationship between financial development and human development has been tried to be revealed by using data obtained from developing countries. Financial development levels of the countries were measured with the developed financial development index. The index is calculated by using M3 / GDP, private sector loans / GDP and loans to banks from private sector / GDP ratios. The human development index is calculated by considering various health indicators and GNP per capita. The data includes annual data for the period 1970-2016. Pedroni and Kao cointegration analysis and Dumitrescu & Hurlin panel causality analysis were performed in the study. According to the results of the study, the cointegration relationship was determined between the two variables. There is also a two-way causality between the variables.


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