A Bayesian model of religious conversion

The Economics of Religion literature is of two minds on whether conversion is more likely to occur between close or distant religions. The religious capital model suggests that conversion should involve sufficiently close religions whereas cognitive considerations suggest that conversion should involve sufficiently distant religions. We reconcile these seemingly contradictory insights about conversion for the class of non-instrumental, intrinsically motivated conversions within a Bayesian framework. We show that religious conversion should involve moderately distant religions.     

A model of secularism in the state of nature

The issue of secularization has been extensively discussed within the Economics of Religion. However, the related issue of secularism has received little, if any, attention. Moreover, social sciences have only debated secularism in the context of state. This paper disaggregates religion and secularism into a number of analytically tractable strands and explores the possibility of secularism in the state of nature from different perspectives. The incidence of secularism in the state of nature is shown to be contingent on the level of aggregation, the reference groups and the dimensions of religion under consideration, and the cost of religious contest. It is also shown that the belief regarding the externalities of individual religious practice is the key determinant of the incidence of secularism, while the degree of exclusivity of religion moderates/accentuates the effect of the aforesaid belief. Finally, it is argued that a class of stateless settings is inherently conducive to constitutionally secular states. But it is also shown that unconditionally secular individuals are not necessary for a secular society and, by implication, state.     

A dynamic measure of inaccuracy between two past lifetime distributions

In the present communication we introduce a dynamic measure of inaccuracy between two past lifetime distributions over the interval (0, t). Based on proportional reversed hazard rate model (PRHRM), a characterization problem for this dynamic inaccuracy measure has been studied. An upper bound to the dynamic measure of inaccuracy H*(f, g; t) has also been derived.     

The Changing Role of the State in the Electricity Industry in Brazil, China, and India

ABSTRACT . Technological breakthroughs, macroeconomic pressures, and advances in economic thought have led to a redefinition of the role of the state from producer to arbiter among private interests. Still, the details of such a redefinition vary among countries. We aim to understand the reasons for such differences and draw their policy implications through a case study of the electricity industry in Brazil, China, and India. Over the past decade, these countries have sought to restructure their state‐owned electric utilities. The restructuring effort has led to different outcomes in the three countries. We argue that ideology, institutional arrangements, and the behavior of interest groups lie at the heart of such differences.     

Does lending behaviour of banks in emerging economies vary by ownership? Evidence from the Indian banking sector

While much has been discussed about the relationship between ownership and financial performance of banks in emerging markets, literature about cross-ownership differences in credit market behaviour of banks in emerging economies is sparse. Using a portfolio choice model and bank-level data from India for 9 years (1995–96 to 2003–04), we examine banks’ behaviour in the context of credit markets of an emerging market economy. Our results indicate that, in India, the data for the domestic banks fit well the aforementioned portfolio-choice model, especially for private banks, but the model cannot explain the behaviour of foreign banks. In general, allocation of assets between risk-free government securities and risky credit is affected by past allocation patterns, stock exchange listing (for private banks), risk averseness of banks, regulations regarding treatment of NPA, and ability of banks to recover doubtful credit. It is also evident that banks deal with changing levels of systematic risk by altering the ratio of securitized to non-securitized credit.     

Bibliometric monitoring of research performance in ICT-based disaster management literature

Quality & Quantity - The increasing diffusion of Information Communication Technologies (ICT) in the domain of disaster management depicts the catalyzed efforts and interests of nations for...     

Managing healthcare waste for sustainable environmental development: A hybrid decision approach

Healthcare waste management (HCWM) has become the most concerned issue for hospitals to enhance their environmental performance while reducing the waste disposal costs. The present study aims to standardize the evaluation criteria for the stakeholders to ensure sustainable environmental development by safe disposal of infectious healthcare waste (HCW). The present study applied the fuzzy-Delphi method to scrutinize the criteria identified from the literature and experts' opinions and resulted in 20 subcriteria under the following six main dimensions: experience, relationship, environmental factors, technology and qualification, economic factors, and firm's capabilities. Further, this study proposed a hybrid approach based on analytic hierarchy process (AHP) and decision-making trial and evaluation laboratory (DEMATEL) under fuzzy environment to analyze the importance and interrelationships of these listed criteria. The study also showed that the experts have given approximately 70% weightage to three main criteria: firms' capabilities, economic factors, and technology and qualification. The implications of the study would help the healthcare administration and Pollution Control Boards to prepare check sheets for recording HCWM practices and, hence, contribute to sustainable environmental development in an efficient way. Understanding the prioritized cause-group criteria would further protect hospitals' environment from the spread of infection caused by the HCW in the long run.     

What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment

Business Strategy and the Environment (BSE) is a premier journal dedicated to interdisciplinary research that advances business practice leading to improvements in environmental performance. Using big data analytics, this review examines the intellectual structure and the drivers of research impact of BSE in the scholarly domain. The bibliometric results suggest three major findings. First, the top three countries contributing to BSE are the United Kingdom, the United States, and China. Second, BSE's research manifests through five thematic clusters, namely, business strategy and sustainability; corporate governance and sustainability reporting; green marketing and pro-environmental behavior; innovation and environmental policy; and environmental management systems. Finally, BSE's research impact in terms of citations is significantly influenced by author affiliation (United States); article age (older), appearance (lead article and special issue), length (longer), and method (mix methods); title length (shorter title); and number of keywords (more keywords) and references (more references). Implications for BSE's readers and future contributors are discussed.     

An application of a new seasonal unit root test to inflation

In this paper, we apply the modified seasonal unit root test with seasonal level shifts at unknown time proposed by Popp (2007) to the G7 inflation rate. We also study the power properties of this test and generate critical values for a range of different break points and sample sizes. We find that there is a non-seasonal unit root in Canada's inflation rate, a semi-annual unit root in Germany's inflation rate, and no seasonal unit root at the annual frequency for any of the G7 countries.