New Watersheds in Russian Society

Survey data on the general public's political views and preferences in Russia show that the constituencies of the major parties are widely dispersed. Party preferences at present are based not on any “strategic” or ideological vision but on a more complex set of motives such as attitudes toward ruling authority, the personality factor, and the presence or absence of authoritarian dispositions.     

The [R]Evolving Relationship Between Risk Assessment and Risk Management

In Science and Decisions: Advancing Risk Assessment, the National Research Council recommends improvements in the U.S. Environmental Protection Agency's approach to risk assessment. The recommendations aim to increase the utility of these assessments, embedding them within a new risk‐based decision‐making framework. The framework involves first identifying the problem and possible options for addressing it, conducting related analyses, then reviewing the results and making the risk management decision. Experience with longstanding requirements for regulatory impact analysis provides insights into the implementation of this framework. First, neither the Science and Decisions framework nor the framework for regulatory impact analysis should be viewed as a static or linear process, where each step is completed before moving on to the next. Risk management options are best evaluated through an iterative and integrative procedure. The extent to which a hazard has been previously studied will strongly influence analysts’ ability to identify options prior to conducting formal analyses, and these options will be altered and refined as the analysis progresses. Second, experience with regulatory impact analysis suggests that legal and political constraints may limit the range of options assessed, contrary to both existing guidance for regulatory impact analysis and the Science and Decisions recommendations. Analysts will need to work creatively to broaden the range of options considered. Finally, the usefulness of regulatory impact analysis has been significantly hampered by the inability to quantify many health impacts of concern, suggesting that the scientific improvements offered within Science and Decisions will fill an crucial research gap.     

The role of vertical conflict in the relationship between leader self-enhancement and leader performance

Although studies have shown that inflated self-perceptions of transformational leadership behavior negatively affect leader performance, insight into the underlying processes explaining this relationship is lacking. The current study addresses this gap by identifying vertical conflict between leaders and subordinates as one such underlying process. Using a sample of 52 leaders supervising 259 subordinates, it was found that leader self-enhancement of transformational leadership behavior is significantly and positively related to vertical conflict about both task and relationship issues. Results further indicate that vertical task conflict rather than vertical relationship conflict mediates the negative relationship between leader self-enhancement and leader performance.     

Centralized inventory in a farming community

A centralized inventory problem is a situation in which several agents face individual inventory problems and make an agreement to coordinate their orders with the objective of reducing costs. In this paper we identify a centralized inventory problem arising in a farming community in northwestern Spain, model the problem using two alternative approaches, find the optimal inventory policies for both models, and propose allocation rules for sharing the optimal costs in this context.     

Modeling Risk‐Related Knowledge in Tunneling Projects

Knowledge on failure events and their associated factors, gained from past construction projects, is regarded as potentially extremely useful in risk management. However, a number of circumstances are constraining its wider use. Such knowledge is usually scarce, seldom documented, and even unavailable when it is required. Further, there exists a lack of proven methods to integrate and analyze it in a cost‐effective way. This article addresses possible options to overcome these difficulties. Focusing on limited but critical potential failure events, the article demonstrates how knowledge on a number of important potential failure events in tunnel works can be integrated. The problem of unavailable or incomplete information was addressed by gathering judgments from a group of experts. The elicited expert knowledge consisted of failure scenarios and associated probabilistic information. This information was integrated using Bayesian belief‐networks‐based models that were first customized in order to deal with the expected divergence in judgments caused by epistemic uncertainty of risks. The work described in the article shows that the developed models that integrate risk‐related knowledge provide guidance as to the use of specific remedial measures.     

Major Factors Influencing the Health Impacts from Controlling Air Pollutants with Nonlinear Chemistry: An Application to China

Predicting the human‐health effects of reducing atmospheric emissions of nitrogen oxide (NO_x) emissions from power plants, motor vehicles, and other sources is complex because of nonlinearity in the relevant atmospheric processes. We estimate the health impacts of changes in fine particulate matter (PM_2.5) and ozone concentrations that result from control of NO_x emissions alone and in conjunction with other pollutants in and outside the mega‐city of Shanghai, China. The Community Multiscale Air Quality (CMAQ) Modeling System is applied to model the effects on atmospheric concentrations of emissions from different economic sectors and geographic locations. Health impacts are quantified by combining concentration‐response functions from the epidemiological literature with pollutant concentration and population distributions. We find that the health benefits per ton of emission reduction are more sensitive to the location (i.e., inside vs. outside of Shanghai) than to the sectors that are controlled. For eastern China, we predict between 1 and 20 fewer premature deaths per year per 1,000 tons of NO_x emission reductions, valued at $300–$6,000 per ton. Health benefits are sensitive to seasonal variation in emission controls. Policies to control NO_x emissions need to consider emission location, season, and simultaneous control of other pollutants to avoid unintended consequences.     

The effects of coauthorship on the quality of financial research papers

This paper analyzes whether formal collaboration in terms of coauthorship enhances paper quality in financial research. Analyzing all papers presented at DGF annual meetings in the period from 1996 to 2005, we report the following major findings: First, we find superior paper quality of coauthored papers compared to single-authored papers. This holds true for two quality proxies, publication probability and publication quality (as measured by the original and the updated Jourqual rating). Second, the capability of scholars, measured by a citation measure derived from citations in Google Scholar, shows to be an additional important factor for explaining paper quality. Third, the employed methodology of a paper (e.g., empirical analysis, theoretical analysis) does not systematically affect paper quality. However, it is important to differentiate between empirical and theoretical papers. Whereas coauthorship shows to be a quality enhancing factor for empirical papers, this does not hold true for theoretical papers. Fourth, the origin of data is a crucial determinant of the publication success for empirical papers. In particular, papers which exclusively analyze data from Germany are published in less reputable journals.