The Influence of Board Composition on Sustainable Development Disclosure

Despite knowing the potential effect of social reporting on firms' continuity, there is limited research into the influence of the composition of boards of directors on CSR disclosure. This paper adds to the emerging CSR literature empirical evidence by examining how board composition relates to a firm's social and environmental disclosure as well as the implementation of social policies. Using a sample of FTSE 350 firms for the period 2007–2012, the results show that higher board independence facilitates the conveying of firms' good citizenship image through enhancing societal conscience. The results also show that female participation on boards is favorably affecting CSR engagement and reporting as well as the establishment of ethical policies. Hence, the research suggests that boards with higher female participation and independence boost the legitimacy of CSR reporting. Board gender diversity and independence facilitates directing part of the firm's scarce resources toward value maximizing social projects and subsequent reporting on these. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Measuring Production and Irrigation Efficiencies of Rice Farms: Evidence from the Punjab Province,Pakistan

We employ a non‐parametric approach, data envelopment analysis, to estimate the technical and irrigation efficiency of rice farms in the Punjab Province of Pakistan. We use a cross‐sectional dataset of 80 rice growers, including 45 tube‐well owners and 35 water buyers. Mean technical efficiency scores show that tube‐well owners and water buyers are operating at fairly high efficiency levels, indicating that access to technology is not a major constraint. However, irrigation inefficiency is pronounced, with water buyers being more inefficient than tube‐well owners. A bootstrap truncated regression is used to investigate the determinants of technical and irrigation efficiency. We suggest that groundwater management policies should be designed to address efficiency enhancing factors such as knowledge of crop water consumption requirement, better credit opportunities, outreach extension services and training programs.     

Impact of Financial Development on the Environmental Quality in Iran

In recent decades, undesirable environmental changes, such as global warming and greenhouse gases emission, have raised worldwide concerns. In order to achieve higher growth rate, environmental problems emerged from economic activities have turned into a controversial issue. The aim of this study is to investigate the effect of financial development on environmental quality in Iran. For this purpose, the statistical data over the period from 1970 to 2011 were used. Also by using the Auto Regression Model Distributed Lag （ARDL）, short-term and long-term relationships among the variables of model were estimated and analyzed. The results show that financial development accelerates the degradation of the environment; however, the increase in trade openness reduces the damage to environment in Iran. Error correction coefficient shows that in each period, 53% of imbalances would be justified and will approach their long-run procedure. Structural stability tests show that the estimated coefficients were stable over the period.     

The pre-acquisition evaluation of target firms and cross border acquisition performance

The paper investigates the impact of the pre-acquisition evaluation of target firms on the performance of cross border acquisitions using data from a sample of acquisitions made by UK firms. The findings provide reasonable support for organizational learning theory, suggesting that the more the acquiring firm learns about the target firm then the better will be the acquisition performance. Specifically, we find support for the hypothesis that thorough evaluation of the strategic and cultural fit positively influences cross border acquisition success. Further, the analysis reveals that detailed evaluation of the target firm's employee and business capability improves acquisition performance. The managerial implications of the findings and directions for future research are also discussed.     

How Effective Is Foreign Aid at Improving Health Outcomes in Recipient Countries?

Since the United Nations’ establishment of the Millennium Development Goals (MDGs) in 2000 the world has observed an increasing trend in foreign aid provided by more affluent countries to developing nations. This paper examined whether foreign aid (total foreign aid and health sector aid) has been effective in improving the health of citizens in recipient nations since establishment of the MDGs. Five facets of population health were examined: infant mortality, life expectancy, the annual death rate, and immunizations against measles and diphtheria. Using a panel data set covering 90 developing countries, observed annually over 2001–2015, fixed-effects multivariate regressions with alternative specifications were estimated for each of these measures. The findings reveal that foreign aid has had little to no effect on population health since 2000. We found some evidence that foreign aid has improved life expectancy in developing countries, however, the effect is very small. In light of these findings, continued monitoring of the relationship between foreign aid and health outcomes would be both valuable and prudent.

     

从发展差距角度看民族地区建设小康社会的艰巨性——以新疆为例

全面建设小康社会,区域难点在民族地区,城乡难点在农村。少数民族地区的农牧区处于此二者的交汇处,属我国全面建设小康社会的难中之难。全面建设小康社会这一宏伟目标能否顺利实现,关键在于民族地区农牧区居民收入与生活水平是否能达到小康标准。从民族地区农村居民收入的增长趋势看,现阶段很难达到目标。因此,未来的关键是下大力气增加农牧民收入,并加快增长速度。     

Empirical Bayes analysis of log-linear models for a generalized finite stationary Markov chain

This article presents the empirical Bayes method for estimation of the transition probabilities of a generalized finite stationary Markov chain whose ith state is a multi-way contingency table. We use a log-linear model to describe the relationship between factors in each state. The prior knowledge about the main effects and interactions will be described by a conjugate prior. Following the Bayesian paradigm, the Bayes and empirical Bayes estimators relative to various loss functions are obtained. These procedures are illustrated by a real example. Finally, asymptotic normality of the empirical Bayes estimators are established.     

Inference for the two-parameter bathtub-shaped distribution based on record data

Here we consider the record data from the two-parameter of bathtub-shaped distribution. First, we develop simplified forms for the single moments, variances and covariance of records. These distributional properties are quite useful in obtaining the best linear unbiased estimators of the location and scale parameters which can be included in the model. The estimation of the unknown shape parameters and prediction of the future unobserved records based on some observed ones are discussed. Frequentist and Bayesian analyses are adopted for conducting the estimation and prediction problems. The likelihood method, moment based method, bootstrap methods as well as the Bayesian sampling techniques are applied for the inference problems. The point predictors and credible intervals of future record values based on an informative set of records can be developed. Monte Carlo simulations are performed to compare the so developed methods and one real data set is analyzed for illustrative purposes.     

TD-LTE抢占无线全新商机

如今,为了努力满足用户对移动数据日益增长的需求,大部分运营商的网络和频段都在满负荷运行。据相关数据显示,2010年用户每月使用的数据流量已经超过了5GB。由于数据增长的关键驱动因素——smartphone的普及率在全球仍低于20%,运营商预计用户每月使用的数据流量仍将继续增长。因此,如何充分利用自身的频谱资源、开发包括TD-LTE在内的不同技术选择的潜力,就成为运营商极为关注的重要课题。     

The demand for medical care services: evidence from Kuwait based on households’ out-of-pocket expenses

This article used a data set containing information on 1267 households from Kuwait to investigate the determinants of demand for medical care services by examining households’ out-of-pocket expenses. To deal with the problems associated with households’ health expenditure data, a two-part model (TPM) was estimated. Given Kuwait’s demographic composition, the model was estimated for full sample, nationals only and expatriates only. Prior to estimating the model, tests were conducted to select a transformation that reduces problems associated with heteroscedasticity and non-normality of the errors. In addition, tests were performed to determine if differences in the estimated coefficients across population groups were statistically significant.