Global estimates of growth–inequality–poverty (GIP) triangle: evidence from World Bank’s classification countries

This study extended the concept of ‘growth–inequality–poverty (GIP) triangle’ by using the principle component approach which allows us to composite different poverty and inequality indicators into one single index that contains most of the useful information from the original dataset. Using the idea of GIP triangle, this study examines the long-run relationship among weighted poverty index (which comprises headcount ratio, poverty gap and squared poverty gap); weighted inequality index (i.e., Watts Index, Gini Index and MLD Index) and average monthly per capita income in the designated 138 countries according to World Bank’s classification over a period of 2005–2010. The data set mainly contain countries’ unit record household survey at least one which is conducted between the countries during the sample period. The regression model encompassing the impact of economic growth and income inequality on poverty reflects that income inequality increases poverty while economic growth decreases poverty. It indicates that the impact of inequality in increasing poverty is a somewhat greater than that of growth in average income in reducing overall poverty in a sample countries. The other regression model encompassing the impact of economic growth and poverty on income inequality showed that the poverty itself is also likely to be a barrier for poverty reduction; and inequality seems to predict lower future growth rates. The final regression model depicting the impact of poverty and income inequality on mean income of the household suggests that poverty itself reduces mean income of the household while income inequality increases economic growth. The results are interesting and simply suggest that whenever social institutions malfunction, the incidence of damage would usually be distributed unevenly over the society’s members.     

Bank ownership structure,regulations and risk-taking: evidence from commercial banks in Pakistan

This paper conducts the first empirical assessment of the theories concerning the influence of ownership structure on bank risk-taking in the presence of regulations in Pakistan. The sample used in this paper comprises a panel data of 26 banks in Pakistan, for the period from 2000 to 2014. The analysis provides evidence that increase in ownership concentration leads to an increase in bank risk-taking. Managerial ownership is associated with high risk-taking at low and high levels of managerial ownership while at intermediate level, managerial ownership has negative impact on bank risk-taking. Different types of ownership of banks in Pakistan have different impact on risk-taking. While government, family and institutional ownership have a positive impact on bank risk-taking, foreign ownership has a negative impact on bank risk-taking. Furthermore, the results show that capital regulations are important in influencing bank risk-taking with regard to higher ownership concentration. The findings of this paper suggest that the relation between bank risk-taking and capital regulations typically depends on the type of ownership.     

Workplace Aggression Profiles and Diverse Emotional Responses: Evidence from Pakistan

Employee Responsibilities and Rights Journal - Because of the lack of direct measurements, our understanding of different forms of aggression in organizations is still very limited. As such, there...