Connecting the Dots: Do Financial Analysts Help Corporate Boards Improve Corporate Social Responsibility?

This paper presents an examination of the joint impact of board structural elements at firm level and financial analysts as market-level corporate governance (CG) on corporate social responsibility (CSR) performance. Our study contributes to the CG–CSR literature by adopting the bundling approach, a perspective that has recently attracted researchers’ attention as an answer to any heterogeneity and fragmentation in existing findings. It is based on an extensive sample consisting of 7,739 firm-year observations of US firms for the 2006–2015 period. The findings suggest that financial analysts complement the corporate board with more independence, gender diversity and a specialized CSR committee to realize a certain level of CSR performance of a firm. The findings also indicate that analysts substitute for those internal governance factors that are associated with weaker boards – larger sizes and dual-role CEOs. We also draw implications for research and practice from our findings.     

Who Wants to Work for Japanese Companies? A Case in Malaysia

This study examined the factors associated with job‐pursuit intentions for Japanese companies among young, college‐educated Malaysian respondents. Building on the frameworks of Japanese‐style management and the organizational image theory, the study examined the perceived images of Japanese companies and their relations to the actual job‐pursuit intentions among potential job seekers in Malaysia. Using two types of surveys—one based on students (prospective new graduates), and the other based on mid‐career workers—we found that a positive image of Japanese companies’ human resource management was attractive to both types of potential job applicants. Images related to skill training and monetary compensation were more appealing to students, whereas the image of career development was more appealing to mid‐career workers. We also found that Japanese companies tend to attract members of the workforce who are talented in job‐specific skills and professional knowledge in the Malaysian context.     

Deserving citizenship? Exploring migrants' experiences of the ‘citizenship test’ process in the United Kingdom

Since the early 2000s several European countries have introduced language and citizenship tests as new requirements for access to long‐term residence or naturalization. The content of citizenship tests has been often presented as exclusionary in nature, in particular as it is based on the idea that access to citizenship has to be ‘deserved’. In this paper, we aim to explore the citizenship tests ‘from below’, through the focus on the experience of migrants who prepare and take the ‘Life in the UK’ test, and with particular reference to how they relate to the idea of ‘deservingness’. Through a set of in‐depth interviews with migrants in two different cities (Leicester and London), we show that many of them use narratives in which they distinguish between the ‘deserving citizens’ and the ‘undeserving Others’ when they reflect upon their experience of becoming citizens. In so doing, they negotiate new hierarchies of inclusion into and exclusion from citizenship, which reflect broader neo‐liberal and ethos‐based conceptions of citizenship.     

Ladders and lifting: How gender affects safety behaviors in the fire service

This research explores the degree to which gender affects safety behaviors and outcomes in the fire service. Semistructured focus groups and interviews were conducted based on findings from the literature on women and gender in the fire service. Four focus groups (N?=?22) and eight interviews were recorded, transcribed, and coded using NVivo 10 software. This methodology explored if female gender improves safety behaviors through (1) weighing the risks and benefits of dangerous situations, (2) focusing on biomechanics and technique, (3) asking for help, (4) being motivated to report injuries, (5) being heard by colleagues, and (6) illuminating a hostile work environment’s contribution to safety. Participants report that women have less of a “tough guy” attitude than their male colleagues and felt that deviating from the modernist American hyper-masculine norm may have a positive impact on their work practices and injury outcomes. If women in the fire service perceive risk differently than their male colleagues, perhaps strengthening efforts to recruit women and creating a culture that values their perspective will improve the occupation’s overall safety outcomes. Further research is necessary to quantify these gender differences and their relationship to safety outcomes.     

A new estimator of finite population mean based on the dual use of the auxiliary information

When a sufficient correlation between the study variable and the auxiliary variable exists, the ranks of the auxiliary variable are also correlated with the study variable, and thus, these ranks can be used as an effective tool in increasing the precision of an estimator. In this paper, we propose a new improved estimator of the finite population mean that incorporates the supplementary information in forms of: (i) the auxiliary variable and (ii) ranks of the auxiliary variable. Mathematical expressions for the bias and the mean-squared error of the proposed estimator are derived under the first order of approximation. The theoretical and empirical studies reveal that the proposed estimator always performs better than the usual mean, ratio, product, exponential-ratio and -product, classical regression estimators, and Rao (1991 Rao, T.J. (1991). On certail methods of improving ration and regression estimators. Commun. Stat. Theory Methods 20(10):3325–3340.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]), Singh et al. (2009 Singh, R., Chauhan, P., Sawan, N., Smarandache, F. (2009). Improvement in estimating the population mean using exponential estimator in simple random sampling. Int. J. Stat. Econ. 3(A09):13–18. [Google Scholar]), Shabbir and Gupta (2010 Shabbir, J., Gupta, S. (2010). On estimating finite population mean in simple and stratified random sampling. Commun. Stat. Theory Methods 40(2):199–212.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]), Grover and Kaur (2011 Grover, L.K., Kaur, P. (2011). An improved estimator of the finite population mean in simple random sampling. Model Assisted Stat. Appl. 6(1):47–55. [Google Scholar], 2014) estimators.     

Comparisons of decision tree methods using water data

This article demonstrates the application of classification trees (decision trees), logistic regression (LR), and linear discriminant function (LDR) to classify data of water quality (i.e., whether the water is fit for drinking on not fit for drinking). The data on water quality were obtained from Pakistan Council of Research in Water Resources (PCRWR) for two cities of Pakistan—one representing industrial environment (Sialkot) and the other one representing non-industrial environment (Narowal). To classify data on water quality, three statistical tools were employed—the Decision Tree methodology using Gini Index, LR, and LDA—using R software library. The results obtained by the said three techniques were compared using misclassification rates (a model with minimum value of misclassification rate is better). It was witnessed that LR performed well than the other two techniques while the Decision trees and LDA performed equally well. But for illustration purposes decision trees technique is comparatively easy to draw and interpret.     

Health Interventions and Health Equity: The Example of Measles Vaccination in Bangladesh

Although the existence of socioeconomic differentials in infant and childhood mortality in developing countries is well established. little consensus exists as to the most effective approaches to reducing such differentials. This article utilizes longitudinal data from the Matlab study area in rural Bangladesh to investigate the impact of an efficacious child survival intervention—measles vaccination—on reductions in gender and socioeconomic differentials in childhood mortality. The article analyzes data from 16,270 vaccinated children and randomly matched controls, and evaluates their subsequent mortality risks. Proportional hazards analysis demonstrates that unvaccinated children from very poor families face more than a threefold higher risk of subsequent early child mortality, compared to vaccinated children from families of high economic status. While measles vaccination has little impact on mortality risks among children of higher economic status, the improvement in survival among children from poorer households is pronounced. The provision of measles vaccination markedly reduces mortality risks for poorer children—from over three times higher to just over 1.5 times higher relative to vaccinated children from wealthier families. The findings of this study are evaluated in terms of the potential of child survival interventions such as measles vaccination to promote greater health equity.     

Housing Satisfaction Related to Health and Importance of Services in Urban Slums: Evidence from Dhaka, Bangladesh

Quality of housing plays one of the key roles in a public health research, since inadequate housing may have direct or indirect negative impact on health. Higher satisfaction with housing was shown to be associated with higher income, higher age, a smaller family, higher education, being female and being an owner of a dwelling. The aim of our study is to identify the multiple sources of the satisfaction with housing in population of urban slums and rural areas in Dhaka, Bangladesh. We have used a combined variable “Housing Satisfaction”, containing nine items related to satisfaction with different types of housing facilities (water, electricity, toilet etc.). Ordinal as well as binary multiple logistic regression models were applied to predict housing satisfaction. Rural residents (with 90 % house ownership) were much more satisfied with their housing than urban slum dwellers. Those respondents who perceived their area as “Very bad/Bad” to reach medical care reported significantly higher levels of housing dissatisfaction. Low satisfaction with available facilities (education, health services, etc.) as well as the adjacent neighbourhood being perceived as negative for own health showed as well a strong predictive effect on housing dissatisfaction. The major findings of our study showed a complex relationship between housing satisfaction and the quality of basic facilities including the reachability of medical care. Understanding the factors which lead to satisfaction with housing and residential environment is crucial for planning successful and effective housing policies.     

A case study of MCB and SBMH stock transaction using a novel BINMA(1) with non-stationary NB correlated innovations

This paper focuses on the modeling of the intra-day transactions at the Stock Exchange Mauritius (SEM) of the two major banking companies: Mauritius Commercial Bank Group Limited (MCB) and State Bank of Mauritius Holdings Ltd (SBMH) in Mauritius using a flexible non-stationary bivariate integer-valued moving average of order 1 (BINMA(1)) process with negative binomial (NB) innovations that may cater for different levels of over-dispersion. The generalized quasi-likelihood (GQL) approach is used to estimate the regression, dependence and over-dispersion effects. However, for the over-dispersion parameters, the auto-covariance structure in the GQL is constructed using some higher order moments. This new model is tested over some Monte-Carlo experiments and is applied to analyze the inter-related intra-day series of volume of stocks for the two banking institutions using data collected from 3 August to 16 October 2015 in the presence of some time-varying covariates such as the news effect, Friday effect and time of the day effect.