No abstract

The Belt and Road Initiative (BRI) is an ambitious development project initiated by the Chinese government to foster economic progress worldwide. In this regard, this study aims to investigate the dynamics of energy, economy, and environment among 42 BRI developing countries using an annual frequency panel dataset from 1995 to 2019. The major findings from the econometric analyses revealed that higher levels of energy consumption, economic growth, population growth rate, and FDI inflows exhibit adverse environmental consequences by boosting the CO 2 emission figures of the selected developing BRI member nations. However, it is interesting to observe that exploiting renewable energy sources, which are relatively cleaner compared to the traditionally-consumed fossil fuels, and fostering agricultural sector development can significantly improve environmental wellbeing by curbing the emission levels further. On the other hand, financial development is found to be ineffective in explaining the variations in the CO 2 emission figures of the selected countries. Besides, the causality analysis shows that higher energy consumption, FDI inflows, and agricultural development cause environmental pollution by boosting CO 2 emissions. However, economic growth, technology development, financial progress, and renewable energy consumption are evidenced to exhibit bidirectional causal associations with CO 2 emissions. In line with these findings, several relevant policies can be recommended for the BRI to be environmentally sustainable.

Construction companies' workers are facing higher injury rates as compared to other industries. The principal objective of this research is to investigate occupational health and safety (OH&S) training to be delivered effectively to the workers of the construction companies. The awareness level of employees' about OH&S and how to facilitate the employees for OH&S training to consequently have been studied.Both quantitative and qualitative method of study is implied collected by using construction self-administered questionnaire and face-to-face interviews. Statistical tools like frequency distribution and chi-square test has been used. Data obtained then examined by applying SPSS (Statistical Package for the Social Sciences) software. Three hundred respondents participated in the researcher's study to make the research valuable. It has been observed that levels of OH&S knowledge vary from workers of various construction companies. It has also been investigated that varies how the construction workers been trained in OH&S.

No abstract

No abstract