Ayşe Gokcen Kapusuz (2019). Explaining Stress and Depression Level of Nurses: The Effects of Role Conflict and Role Ambiguity. International Journal of Management and Sustainability, 8(2): 61-66. DOI: 10.18488/journal.11.2019.82.61.66
Productive human resources and behaviors play a significant role in the task and performance-oriented organizations in today’s competitive, innovative, developable, and profitable business life. In this ever-changing and increasingly globalized World, people confront stress and right after depression based on their different roles, threats and events. The aim of this research is to analyze the effects of role conflict and role ambiguity of nurses upon the stress and depression with different theoretical backgrounds. In this study, the relationship among all mentioned variables was examined and analyzed based on the survey data with the participation of 141 randomly chosen nurses from the public hospital in Osmaniye, Turkey. Based on the results of hierarchical regression analysis; role ambiguity, role conflict, and depression are significantly related to job stress of nurses. Besides, there is an insignificant relationship between role conflict and depression. On the other hand, there are negative effects of role ambiguity upon the depression of nurses. This negative relationship between role ambiguity and depression increases from -0.309 to -0.321 when combined with role conflict. Role conflict and role ambiguities are two factors that cause to stress and depression in both personal and work life. The productivity of workers/employees especially in the health sector is depending on different environmental, individual, and psychological factors. Managers should consider the changing of the work environment and variability of patients besides personal needs and abilities while distributing the extra roles of nurses.
This study is one of the very few studies which have investigated quartet relationship among role conflict, role ambiguity, stress and depression in health sector under the light of Person-Organization Fit Theory and Effort-Reward Imbalance-ERI-Model.
The Impact of Industrial Agglomeration on Carbon Emissions: Empirical Evidence from China
Ya Wen , Meng Liao (2019). The Impact of Industrial Agglomeration on Carbon Emissions: Empirical Evidence from China. International Journal of Management and Sustainability, 8(2): 67-78. DOI: 10.18488/journal.11.2019.82.67.78
Based on panel data of China from 2004 to 2016, this paper explored the spatial spillover effect in industrial agglomeration and carbon emissions by using a spatial econometric model. Our results showed that industrial agglomeration significantly increases the carbon emissions in the local region, while inhibits the carbon emissions in the neighboring areas. After considering the choice of different spatial weight matrices, the conclusion is still robust. Further tests show that, on the one hand, industrial agglomeration can increase local carbon emissions and restrain them in the neighboring regions by increasing the industrial scale. On the other hand, industrial agglomeration suppresses the carbon emissions of local and neighboring areas by influencing the intensity of energy consumption. Moreover, the emission decrease effect of industrial agglomeration on the local part through the energy intensity is stronger than that in the vicinity. We propose that the government should coordinate the impact of industrial agglomeration on pollution emissions through both scale and energy effects. Maximize the role of energy saving and emission reduction in industrial agglomeration.
This study contributes to the existing literature that greenhouse gases, such as carbon emissions, which have an important impact on global temperature rise, have the characteristics of the transboundary transfer. Developing countries can reduce carbon emissions by promoting the scale effect and energy effect of local industrial agglomeration.