Financial development, poverty and rural-urban income inequality: evidence from South Asian countries

2015 ◽  
Vol 50 (2) ◽  
pp. 577-590 ◽  
Author(s):  
Madhu Sehrawat ◽  
A. K. Giri
2017 ◽  
Vol 25 (7) ◽  
pp. 6308-6319 ◽  
Author(s):  
Abdul Qayyum Khan ◽  
Naima Saleem ◽  
Syeda Tamkeen Fatima

2020 ◽  
pp. 003022282091502
Author(s):  
Shazia Kousar ◽  
Aiza Shabbir ◽  
Rukia Shafqat

This article is aimed to examine the relationship between socioeconomic factors and child mortality in South Asia because the relationship between child mortality and socioeconomic factors cannot be overlooked for better progress. Panel data were obtained from (World Development Indicators) and (Human Development Index) for the period 1990–2017. The data were quantitative. Levin, Lin, and Chu and I’m, Pesaran, and Shin test were used to check the stationarity of data. A cointegration test was applied to check the long-run association. Granger causality test was used to determine the direction of the relationship. Fully modified ordinary least squares and dynamic ordinary least squares techniques were used to examine the long-run and short-run impact of socioeconomic determinants on child mortality. The findings from this study showed the significant impact of education, unemployment, and health expenditure, access to improved water and sanitation facilities, and income inequality on child mortality. Overall results showed that there is a negative association between education and child mortality, access to improved water and access to sanitation facilities and child mortality, and health expenditure and child mortality, but there is a positive association between unemployment and income inequality with child mortality. The rate of child mortality is still very alarming in South Asian countries.


2019 ◽  
Vol 5 (2) ◽  
pp. 323-332 ◽  
Author(s):  
Imran Sharif Chaudhry ◽  
Samina Sabir ◽  
Fatima Gulzar

Financial development plays an instrumental role in the process of economic growth and development through mobilization of savings and creating investment opportunities. Financial development also leads to enhance the level of technology by providing finance to entrepreneurs for technological innovations which leads to economic growth. This study examines the impact of financial development and technology on economic growth of selected South Asian countries over the time span 1984-2017. Due to endogeneity problem, the empirical model used in the study is estimated by System Generalized Method of Moment (System GMM). Empirical results indicated that financial development, technology and human capital have positive and significant impact on economic growth in developing South Asian countries. To attain a sustainable economic growth, South Asian countries should put their efforts to develop their financial market that stimulates economic growth by providing finance to entrepreneurs for innovations.


Author(s):  
Abu K. ◽  
Monzurul I.U.

According to Joseph Schumpeter (1911), services provided by financial intermediaries are essential for technical innovation and economic growth. Later, empirical work by Goldsmith (1969) and McKinnon (1973) supported that there were close ties between financial and economic development for a few countries. But numerous other economists, including Robinson (1952) believed that finance was not so important for economic growth; financial development simply follows economic growth. Despite this debate, Levine (1993), among others suggests a positive relationship between financial sector development and economic growth. Moreover, there remains further debate whether the country's financial structure exerts differential impact on economic growth. Empirical studies across the countries (Rajan and Zingales, 1999) suggest that banking sector plays a key role in some countries. In this paper, I intend to investigate whether higher levels of financial development are positively correlated with economic growth using empirical evidence from five South Asian countries namely Bangladesh, India, Nepal, Pakistan and Sri Lanka. I have used Panel data analysis, Linear regression model, Levin-Lin-Chu unit root test, Covariance, Correlation and VIF test based on aggregate annual data from 1993 to 2016. My analysis suggests that development in banking sector has a moderately strong tie to promoting economic growth. The result implies that the policy should focus on banking sector development by enhancing its quality of credit products and offers to private sector as it is the main stimulator for growth in these five South Asian countries.


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