Analyzing the impact of terrorism on tourism in Sri Lanka

While terrorism brings fear and chaos, tourism is the epitome of peace and happiness. Sri Lanka has always attracted international tourists due to tropical climate and beautiful tourist destinations. However, terrorism and the recent debt crisis have led to chaos and economic failure; in this study, the impact of terrorism, external debt, and military expenditure on international tourism in Sri Lanka have been empirically studied to unravel the dynamics. Dynamic ARDL simulation and cumulative fourier frequency causality results highlight the presence of an inverted N-shaped association between terrorism and tourism, as well as external debt and tourism. The phenomenal results from this analysis provide essential policy suggestions for Sri Lanka for economic recovery through the promotion of international tourism.     

Was elusive carnivore a panther? DNA typing of faeces reveals the mystery

In this study, we report the findings of a recent case in which the officials of an Indian zoo claimed that an animal, possibly a carnivore, is periodically visiting the zoo from a nearby vast forest area and causing panic in zoo and nearby villages. They collected some elusive faecal material from the vicinity of an herbivore enclosure. Looking to the pugmarks found in that area and faecal matter ceased, the officials could not decide whether it was a lioness, a tiger or a panther. We resolved this mystery by DNA-based analysis of the faecal material, using our recently developed novel universal primers to amplify and sequence a specific fragment of mitochondrial cytochrome b gene. The findings of the DNA-based analyses were confirmed after few days when the zoo officials trapped the animal of same species as suggested in our report. The potential of our procedure to investigate the cases related to wildlife offence is discussed.     

Banking reforms and the evolution of cost efficiency in Indian public sector banks

This paper analyses the trends of cost efficiency and its components across Indian public sector banks (PSBs) during the post-deregulation period spanning from 1992/1993 to 2007/2008. The study also examines the issue of convergence in cost, technical and allocative efficiency levels of Indian PSBs. The empirical results indicate that deregulation has had a positive impact on the cost efficiency of Indian public sector banking industry over the period of study. Further, technical efficiency of Indian PSBs followed an uptrend, while allocative efficiency followed a path of deceleration. We note that in Indian public sector banking industry, the cost inefficiency is mainly driven by technical inefficiency rather than allocative inefficiency. The convergence analysis reveals that the inefficient PSBs are not only catching-up but also moving ahead of the efficient ones, i.e., the banks with the low level of cost efficiency at the beginning of the period are growing more rapidly than the highly cost efficient banks. In sum, the study confirms a strong presence of σ- and β-convergence in cost efficiency levels of Indian public sector banking industry.     

Structural and Behavioural Characteristics of Informal Service Employment: Evidence from a Survey in New Delhi

This article argues that at least two distinct categories within the informal sector - informal services and informal manufacturing - exhibit different structural and behavioural characteristics. While some segments of informal manufacturing may indeed be 'dynamic' as noted by some recent studies, the hypothesis is tested for the informal service employment on the basis of a survey by the author in New Delhi, India. It examines investment, earnings, returns to human capital, socio economic characteristics and scope for upward mobility of informal service employment. It finds formal education does not explain differences in earnings in the sample but background characteristics do; earnings in the informal service sector are neither the lowest in the economy nor are they comparable to wages in the urban formal unskilled sector, when differences between migrants and non-migrants are taken into account. On the basis of these results, the paper reflects on the nature of growth and structural change in the Indian economy and draws some analytical and policy implications.     

Sexual Dimorphism in Ulna: An Osteometric Study from India

Determination of sex constitutes the most important element during the identification process of human skeletal remains. Several sex‐specific features of human skeleton have been exploited for sex determination with varying reliability. This study aims to obtain sexual dimorphic standards for ulnae of the north Indian population. Eight measurements were obtained on a sample of 106 ulnae (males‐80, females‐26) in the age range of 25–65 years. The sexual dimorphism index and demarking points were calculated for all the variables. The data were then subjected to stepwise and direct discriminant function analysis. The best discriminator of sex was the maximum length (84.9%) followed by radial notch width (84%). In stepwise analysis, these two variables were selected and provided an accuracy of 88.7% (M‐87.5%, F‐92.3%). The proximal end provided a classification rate of 81.1% (M‐80%, F‐84.6%) with selection of the notch length and olecranon width.     

Caste and Credit: A Woeful Tale?

This paper examines caste-based differences in farmers’ access to bank loans in rural India. We investigate whether banks practice taste-based discrimination on the basis of caste. In order to identify potential discrimination, we consider loan applications and approval decisions separately. We find significant inter-caste differences in application rates, and evidence of discrimination against Scheduled Tribe borrowers at the approval stage. To rule out the role of statistical discrimination, we simulate unobserved credit histories with various distributions. Evidence for taste-based discrimination persists despite accounting for unobservables. However, we find that this discrimination does not affect small farmers.