Identifying the causes of road traffic accidents in India: An empirical investigation

This study utilizes data for the period 2006–2015 to estimate the determinants of road fatality rates in the Indian states. We employ baseline regression, where the total traffic fatalities, total traffic injuries, rural road fatalities, and urban road fatalities are the functions of human errors in driving, weather conditions, and some control variables. This paper is exclusively focussed upon different sets of human‐driven factors in influencing the road fatality across the Indian states. Our empirical results show that reckless driving, defective motor conditions, bad weather, and reckless driving by bus, truck, and car drivers are found to cause road accidents. We further find that the increase in motorization rates and rash driving are the primary causes behind the road fatalities, and bad weather play a major role in causing road fatalities and injuries in urban areas. However, road fatalities are increasing; still, cases of under reporting, lack of proper road safety regulation, improper investigation procedures, increasing vehicle usages, and higher urbanization have made the matters quite worse in India.     

When children want children

Leon Dash works with the Investigative Desk of the Washington Post.He recently completed When Children Want Children: The Urban Crisis in Teenage Childbearing,for which he received a 1990 PEN/Martha Albrand special citation. He is also the co-author (with Ben Bagdikian) of The Shame of the Prisons.     

The role of local institutions in sustainable watershed management: lessons from India

The implementation and effective management of watershed-development projects is recognised as a strategy for rural development throughout the developing world. Several government and non-government agencies have launched watershed-development projects to tackle the challenges of soil conservation, improving land productivity, and economic upliftment of the rural poor for efficient use of natural resources. Participatory community-driven institutions of integrated watershed management are considered vital for the sustainability of natural resources. This study focuses on the impact of local institutions on watershed development in India and examines the degree of women's participation in relation to the effective management of natural resources and sustainable development.     

Nonlinear Granger causality between oil price and stock returns in India

The nonlinear causal dimension in oil price and stock returns aspect is less explored in literature. This study provides such evidence by applying Hiemstra and Jones (1994) nonlinear Granger causality test to the VAR residuals in case of India. Our result indicates that there exists bi‐directional nonlinear causality between oil price and stock returns. It implies that the lagged information of oil price and stock returns can be able to predict each other efficiently.     

Education,human error,and road crash risk: An empirical investigation in the Indian states

This study examines the road accident rates from 29 Indian states and 6 Union Territories during 2006–2015. In this paper, we have employed several empirical techniques such as regression, generalized method of moments (GMM), and threshold regression models to examine how education and attitude of the drivers impact the road accident rates. In our empirical analysis, we demonstrate that lawless driving is found to be positive and statistically significant while incorporating both state and year effects. We also find some interesting result in the context of education and road accidents. We notice positive relationship between higher education and road accident rates across Indian states, which tells us highly educated people are more prone to road accidents as compared with less educated people. In the threshold analysis, the study discovers the positive relationship between road injury and accidents caused by people with higher education, in cases of considering road injury rate from drunken driving as the threshold variable. There appears to be a large number of behavioral issues emanating from higher education, which contributes significantly to the road accident rates in the Indian states. Hence, there is a need for policy intervention.     

Asset quality determinants of Indian banks: Empirical evidence and policy issues

The Indian banking industry has been suffering from a huge number of nonperforming loans, and the loan asset quality has been deteriorated over the years. This has led to significant capital erosion of many banks in India. The surge in corporate defaults leading to an enormous rise in nonperforming loan assets has been impairing the performance of Indian banking industry in particular and economic growth in general. Hence, it is intuitive to ask what are the determinants of poor asset quality of Indian banks. To answer this question, using a sample of 47 commercial banks over a sample period of 2000 to 2014, our study examines the bank‐, industry‐, and macroeconomic‐specific determinants of asset quality of Indian banks. Our empirical analysis also accommodates the impact of different ownership structures (public and private sector) and the impact of financial crisis while analysing the determinants of poor asset quality of Indian commercial banks. Results reveal that bank‐, industry‐, and macroeconomic‐specific factors are responsible for the burgeoning nonperforming loan assets of Indian commercial banks. The results are qualitatively similar across different ownership structures. The findings suggest that forecasting models for nonperforming assets should also consider macroecomomic‐ and industry‐specific factors along with the bank‐ specific factors.