Environment systems & decisions最新文献

This research is the first attempt to examine the impact of corporate sustainability risks factors on its financial stability. By using S&P500 stocks data from 2019 to 2021 and calculating Altman's Z-score, we examined the influence of ESG (Environmental, Social, and Corporate Governance) risks score on the company survival chances. We documented diminishing total ESG scores of S&P500 stocks in recent years pointing out that companies pay attention to sustainability issues and invest resources to reduce them. We documented that Altman's Z-score is negatively influenced by E and S and not by G. These findings are very important since they prove for the first time that high environmental and social risks may reduce corporates' financial stability and rise their default risks incurring default costs. Moreover, high sensitivity of Altman's Z-score changes to S changes was found especially for relatively smaller firms. The result of this study emphasizes the importance of sustainability risk and especially social risk to a firm's survival chances and therefore mitigating those risks can dramatically improve corporates' financial stability.

In this paper, we consider the problem of automobile selection for transportation in inner city using a hybrid multicriteria decision making approach. The electric automobiles that are a relatively new concept in the world of the automotive industry, are widely viewed as attractive among its alternatives day by day. Fuel-vehicles produce a lot of carbon emissions that are ejected into our natural atmosphere, leaving us vulnerable to things like pollution and greenhouse gases. So, electric vehicle and automobiles have emerged as a more efficient alternative and these vehicles have been a great step forward to help positively the environment with zero emissions and total energy consumption in their lifecycle. Many companies focus on electric vehicle production with the development of electric vehicle technology. Therefore, the selection process emerges among the various electric automobile technologies for the users. The selection process includes several conflicting factors which are such as economic, technical and technological factors. In the present study, we propose a hybrid approach for electric automobile selection that combines analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS) and goal programming (GP) is used to determine the weights to assign to the factors that go into these selection decisions and TOPSIS method is used for preference ranking. These weights founded by AHP are inputted into a GP model to determine the best alternative among the electric automobiles. Finally, the study used three methods TOPSIS, AHP- TOPSIS and AHP-GP for better comparison and evaluation. The most suitable electric automobile is selected among their alternatives by using analytic methods and goal programming.

It is on the sharp end of the O&G operations where the real work happens, but also where the highest risks and system demands are placed. Understanding the skills-technical and non-technical-necessary to perform efficiently and safely is not only needed to maintain the business and assets, but also to ensure the safety of lives and the environment. Accidents such as Piper Alpha (1988), P-36 (2001) and Deepwater Horizon (2010) highlight the importance of understanding the real role of the human element in these events, from the highest hierarchical levels to the sharp end, where the work as done takes place. This article presents a non-technical skills analysis focused on the sharp end of O&G operations, specifically in the facilities/utilities operations, onshore (refineries) and offshore (production platforms). The findings show the importance and presence of certain non-technical skills, as well as the need for improvement of others in the daily routine and in emergencies.

The utility of decision-making tools for the risk governance of nanotechnology is at the core of this paper. Those working in nanotechnology risk management have been prolific in creating such tools, many derived from European FP7 and H2020-funded projects. What is less clear is how such tools might assist the overarching ambition of creating a fair system of risk governance. In this paper, we reflect upon the role that tools might and should play in any system of risk governance. With many tools designed for the risk governance of this emerging technology falling into disuse, this paper provides an overview of extant tools and addresses their potential shortcomings. We also posit the need for a data readiness tool. With the EUs NMP13 family of research consortia about to report to the Commission on ways forward in terms of risk governance of this domain, this is a timely intervention on an important element of any risk governance system.

Both natural and manmade disasters have severely impacted the region of Southeast Texas over the past few decades, and this has negatively affected the socio-economic well-being of the region. The state of Texas has suffered 200-250 billion dollars in damages from natural and manmade disasters since 2010. Given the region's strategic importance to the nation's energy and security, developing resilience knowledge and multi-disaster resilience research focused on issues pertaining to the region is needed. This paper describes the structure and process of building a center for multi-disaster resilience at a regional public university. By utilizing a bottom-up approach, the Center's mission and design are broadly democratized through the participation of a variety of scholars and various stakeholders with whom they interact. Resilience needs specific to the Southeast Texas region are examined, as is the relationship between resilience and the academic disciplines of the stakeholders involved. The issues of resilience in the region are discussed as well as the future steps for the Center's continued growth and development for the study of resilience.