No abstract

No abstract

No abstract

No abstract

No abstract

This study explores the relationship between a company’s Environmental, Social, and Governance (ESG) performance, and corporate risk. Moreover, the study emphasizes how CEO power moderates this relationship. Using a sample of Chinese A-share listed enterprises from 2011 to 2018, it is found that better ESG performance can reduce firms’ risk. The negative relationship between ESG performance and corporate is stronger for the company with greater CEO power. This link is weaker for state-owned firms and stronger for firms with lower institutional investor holdings. Furthermore, ESG performance mainly affects enterprise risk through three channels: firm reputation, information transparency, and internal control. Generally, firms with better ESG performance are more likely to have sound risk management frameworks. Our findings provide empirical evidence for implementing an ESG information disclosure system and promoting responsible investment in the capital market.

The heat transfer and stress state of thin slab have a significant impact on quality of slab in the solidification process of continuous casting. A two-dimensional mathematical model of heat transfer, which has considered the characteristics of solidification and heat transfer and the influence of secondary cooling system and equipment on solidification process, has been established to analysis temperature distribution of cross-section and main factors impacting on temperature distribution. A two-dimensional thermal-elastic-plastic stress model has been established to analysis the stress and strain distribution of thin slab in the continuous casting, and it uses the two-dimensional slicing method in a moving coordinate and finite element method for solving the model. The simulation results can provide a theoretical guide for the optimization of continuous casting process parameters and improvement of quality of thin slab.

This study aims to acquire a better understanding of the quantitative relationship between environmental impact factors and heating energy consumption of buildings in severe cold regions. We analyze the effects of five urban morphological parameters (building density, aspect ratio, building height, floor area ratio, and shape factor) and three climatic parameters (temperature, wind speed, and relative humidity) on the heating energy use intensity (EUI) of commercial and residential buildings in a severe cold region. We develop regression models using empirical data to quantitatively evaluate the impact of each parameter. A stepwise approach is used to ensure that all the independent variables are significant and to eliminate the effects of multicollinearity. Finally, a spatial cluster analysis is performed to identify the distribution characteristics of heating EUI. The results indicate that the building height, shape factor, temperature, and wind speed have a significant impact on heating EUI, and their effects vary with the type of building. The cluster analysis indicated that the areas in the north, east, and along the river exhibited high heating EUI. The findings obtained herein can be used to evaluate building energy efficiency for urban planners and heating companies and departments based on the surrounding environmental conditions.