Search

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. Paper type Research paper [ABSTRACT FROM AUTHOR]

The purpose of this paper is to evaluate the association between inequality in energy intensity and social inequality in Indian cities, as these are the two predominant constituents of inequality in Indian socio-economic scenario. This study uses a bivariate cointegration based error correction model for assessing the causal association between the two inequality parameters, which are derived by using Theil's second measure. Given the sustainable development objective set by the government of India, interaction between these two parameters may prove out to be significant for achievement of this objective. It has been hypothesized that nature of this interaction varies largely based on the nature of the cities, i.e. semi-urban, urban, and metropolitan. The analysis has been done on the full and segregated dataset to visualize how the interaction changes with the nature of the cities. For analysis purpose, data for 139 Indian cities for the period of 2001-2013 have been selected. From the data of income, population, and energy consumption, two parameters of this study have been designed by using Theil's second measure. The analysis starts with checking the cross sectional dependence for both of the parameters. Subsequently, the stationarity of the data has been checked by using first generation unit root tests. Then, by employing the cointegration and error correction framework, the long run causal association has been assessed. For checking the short run causal association, Granger causality method has been applied. The data for this study have been collected form Ministry of Power, Govt. of India, Central Statistical Organization, India, and Census, India. Major findings of this study are, (a) for both the parameters and three segments, cross sections are independent, (b) the parameters are stationary at first difference, (c) there is long run cointegration relationship between them, and (d) the causal link between inequality in energy intensity and social inequality is unidirectional for the case of semi-urban cities, and it is bidirectional for the case of metropolitan and urban cities. For full dataset, causal link between inequality in energy intensity and social inequality is unidirectional. The Theil indices calculated for both the parameters show the trends of rising inequality for all the cities taken together. However, no significant trend was visualized for the individual strata of cities, for both of the parameters under consideration. This study summarizes that the economic growth achieved by India is not sustainable in nature. It can be achieved only by considering an inclusive growth framework, where social development will complement the growth objectives. Therefore, the fossil-fuel based economic growth agenda needs reconsideration, viewing the social dimensions of the cities. [ABSTRACT FROM AUTHOR]

Financial inclusion has become one of the most critical aspects in the context of inclusive growth and sustainable development in developing countries like India. Financial inclusion is a process of ensuring access to suitable financial products and services needed by susceptible groups such as weaker sections and low-income groups at an affordable cost in a fair and transparent manner by mainstream financial institutional players. Despite impressive economic growth over the last two decades, many countries in the world are experiencing inequalities leading to adverse consequences for social cohesion which in turn, could dampen growth prospects. Therefore, financial inclusion has emerged as an important topic on the global agenda for sustainable long-term economic growth. The present study is an attempt to assess the role of post offices in financial inclusion and economic development in the Jammu division of Jammu & Kashmir State. Both primary and secondary data were used for conducting the study. For primary data, 1050 questionnaire were distributed among customers of post offices of Jammu division and secondary data were collected using Internet, journals, and post offices. The most important aspect of financial inclusion is financial literacy but it was found that there is lack of awareness among rural masses about various schemes of financial inclusion. The study is limited to the perception of post office customers only and could be carried further on the perception of other stakeholders such as post office officials and business correspondents. [ABSTRACT FROM AUTHOR]