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Today's world is facing a serious challenge of high carbon emissions. A large number of studies are examining the deteriorating impact of carbon emissions at the country or firm level, but the literature on the voluntary carbon disclosure project (CDP) by cities is not rich. Therefore, this study seeks to examine the effect of the population (Pop) and gross domestic product (GDP) on carbon emissions of cities by using data of CDP. The dataset refers to a set of numerous cities from around the world, spanning the period from 2012 to 2016. Random effects panel regression and generalized method of moments (GMM), and quantile regressions techniques have been employed to empirically investigate the discussed relationship and to control the potential endogeneity issues, respectively. According to the results, population and GDP are substantial predictors of carbon emissions in sampled cities. Findings show that not only factories contribute to increasing carbon emissions rate, but cities are equally responsible for these emissions as they put no checks on their economic growth and population. The findings are also robust for policy implications.

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Current research is designed to check the impact of employee training, employee empowerment, team work on job satisfaction. Employee training, employee empowerment, team work are independent variables and job satisfaction is dependent variable. Overall, 160 employees of banks employees who are working at managerial level are selected randomly. Results indicates that employee training, employee empowerment, team work has significant positive impact on job satisfaction. It is also seen that teamwork is emerging as strong predictor of job satisfaction the employee empowerment is second good predictor of job satisfaction. In future researches, this kind of researches will be also conducted in other kind of industries like hotel industry, telecom sector and education sector. In future researches some other potential predictors of job satisfaction like employee compensation, employee appraisal will also include. It is also better to include some better outcomes like employee loyalty and employee productivity for generalization.

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This study investigates the perceived level of stressors and coping strategies among the faculty of higher education institutions in Saudi Arabia. The faculty stress index (FSI) and a coping strategies questionnaire were used for the collection of data from faculty members. The FSI has five subscales. The higher the score on each of the subscales, the greater would be the stress experienced and perceived by the respondents. The coping strategies are subdivided into seven subscales. The data was collected from 100 faculty members from various institutions in Saudi Arabia. The findings reveal that faculty members with different job titles are experiencing varying levels of stress on each subscale. Three groups of faculty, assistant professor, lecturers, and instructors were significantly different on a reward & recognition subscale of FSI and regarding their viewpoints on tenure. Some coping strategies are found related considerably with the FSI subscale score. There are a few similar studies on Saudi Arabia in the health sector only. This study contributes to the literature by providing insight into perceived stress in the Higher education sector of Saudi Arabia.

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