Uncertainty and Variability in Health-Related Damages from Coal-Fired Power Plants in the United States

The health‐related damages associated with emissions from coal‐fired power plants can vary greatly across facilities as a function of plant, site, and population characteristics, but the degree of variability and the contributing factors have not been formally evaluated. In this study, we modeled the monetized damages associated with 407 coal‐fired power plants in the United States, focusing on premature mortality from fine particulate matter (PM_2.5). We applied a reduced‐form chemistry‐transport model accounting for primary PM_2.5 emissions and the influence of sulfur dioxide (SO₂) and nitrogen oxide (NO_x) emissions on secondary particulate formation. Outputs were linked with a concentration‐response function for PM_2.5‐related mortality that incorporated nonlinearities and model uncertainty. We valued mortality with a value of statistical life approach, characterizing and propagating uncertainties in all model elements. At the median of the plant‐specific uncertainty distributions, damages across plants ranged from $30,000 to $500,000 per ton of PM_2.5, $6,000 to $50,000 per ton of SO₂, $500 to $15,000 per ton of NO_x, and $0.02 to $1.57 per kilowatt‐hour of electricity generated. Variability in damages per ton of emissions was almost entirely explained by population exposure per unit emissions (intake fraction), which itself was related to atmospheric conditions and the population size at various distances from the power plant. Variability in damages per kilowatt‐hour was highly correlated with SO₂ emissions, related to fuel and control technology characteristics, but was also correlated with atmospheric conditions and population size at various distances. Our findings emphasize that control strategies that consider variability in damages across facilities would yield more efficient outcomes.     

Risks in offshore IT outsourcing: A service provider perspective

Offshore outsourcing of Information Technology (IT) services is the prevalent practice in global businesses today. Despite the strategic advantages and cost benefits that offshore outsourcing offers, outsourcing relationships also involve risks, for both the client, as well as the service provider – a fact that is evidenced by the reported failures of such engagements. Some of the prior researches in this area have focused on identifying various types of client risks and their sources. However, the study of risks from a service provider’s perspective has not received due treatment in literature. This study analyses offshore IT outsourcing risks from the perspective of service providers. A case based approach using the principles of grounded theory was used for studying the risks. Theoretical sampling was used to collect data from 5 mid-tier offshore third party service providers based in Bangalore, India. From our coding and analysis three broad categories of service provider risks emerged, namely, macroeconomic, relationship specific and project specific. Relationship maturity, nature of contract, nature of service or project and nature of client were identified as contextual factors which influence the degree of risk.     

Bilanzmanipulation und Managementpräferenzen bezüglich der Strenge des Systems der Rechnungslegungsregulierung

The present paper analyses the political economy of accounting regulation. It develops a game theoretic model of earnings management in a capital market context. Various forms of information asymmetry are examined. The analysis shows that the preferences of managers over the strictness of accounting regulation depend on the nature of the information asymmetry. In a number of instances, managers prefer to be subject to strict regulation. This result contradicts the often heard assertion that managers prefer lax regulation and has implications for regulatory competition.     

Verlustnutzung von Kapitalgesellschaften bei Umwandlungen – Eine ökonomische Vorteilhaftigkeitsanalyse

This paper investigates the potential utilization of tax loss carry-forwards in case of reorganizations of corporations from an economic point of view. Thereby, we analyze the tax impacts of indirect utilizations of tax loss carry-forwards by means of increasing assets’ book values as well as the tax impacts of the minimum taxation. The paper illustrates that the implementation of minimum taxation on transfer gains – which is reasonable at first glance – results in the following effects: Contrary to assumptions made in literature, the consequence of the regulation is that no reorganization can be utilized in order to avoid minimum taxation of current earnings in a profitable way. Surprisingly, for reorganizations due to other intentions it may be economically reasonable to let tax loss carry-forwards lapse at least partially. From an economic viewpoint this is in breach of the objective net principle.     

Electronic Data Interchange: Research Review and Future Directions*

For nearly two decades, electronic data interchange (EDI) has been widely viewed as a technology pivotal to supply chain management that has also provided benefits to firms on multiple levels. Despite a substantial body of literature, there are a number of conflicting and inconclusive research results in this field. In this study, we synthesize the diverse body of research in EDI by organizing the literature into an initial theoretical framework. Based on a meta‐analysis of results from the empirical literature, we seek to clarify conflicting results from the literature in order to develop a more unified theoretical framework of contextual variables associated with EDI adoption factors and outcomes. From a managerial standpoint, our literature‐based framework offers a set of guidelines for making successful EDI adoption and implementation decisions.     

Information Independence and Common Knowledge

In Bayesian environments with private information, as described by the types of Harsanyi, how can types of agents be (statistically) disassociated from each other and how are such disassociations reflected in the agents' knowledge structure? Conditions studied are (i) subjective independence (the opponents' types are independent conditional on one's own) and (ii) type disassociation under common knowledge (the agents' types are independent, conditional on some common‐knowledge variable). Subjective independence is motivated by its implications in Bayesian games and in studies of equilibrium concepts. We find that a variable that disassociates types is more informative than any common‐knowledge variable. With three or more agents, conditions (i) and (ii) are equivalent. They also imply that any variable which is common knowledge to two agents is common knowledge to all, and imply the existence of a unique common‐knowledge variable that disassociates types, which is the one defined by Aumann.     

基于价值链的中国企业社会责任对财务价值的影响

为了支持企业持续地将履行社会责任作为一种长期的战略,探讨企业社会责任与业务相结合对财务绩效的影响以及如何选择既造福社会又有利于商业的社会责任项目.基于价值链视角,采用利益相关者理论和归因理论,用实证方法,选择中国公司社会责任披露的数据,采用因子分析法划分企业社会责任活动,采用面板数据回归分析每种社会责任活动及其交互作用对企业财务绩效的影响.研究结果表明,把社会责任活动分为与价值链基本活动相关的社会责任、与价值链支持活动相关的社会责任和一般性社会责任(与价值链活动无关),与价值链基本活动相关的社会责任和与价值链支持活动相关的社会责任对财务绩效有积极影响,与价值链活动无关的一般性社会责任对财务绩效有消极影响,他们的交互作用对财务绩效也有方向不同的显著影响,即基本活动与支持活动的交互作用对财务绩效有积极影响,基本活动与一般性活动的交互作用对财务绩效有积极影响,而支持活动与一般性活动的交互作用对财务绩效有消极影响.研究结果对企业将履行社会责任与价值创造相结合、实现社会效益和经济效益双赢提供具体的参考.     

Modeling Finite‐Time Failure Probabilities in Risk Analysis Applications

In this article, we introduce a framework for analyzing the risk of systems failure based on estimating the failure probability. The latter is defined as the probability that a certain risk process, characterizing the operations of a system, reaches a possibly time‐dependent critical risk level within a finite‐time interval. Under general assumptions, we define two dually connected models for the risk process and derive explicit expressions for the failure probability and also the joint probability of the time of the occurrence of failure and the excess of the risk process over the risk level. We illustrate how these probabilistic models and results can be successfully applied in several important areas of risk analysis, among which are systems reliability, inventory management, flood control via dam management, infectious disease spread, and financial insolvency. Numerical illustrations are also presented.     

Optimal Digital Rights Management with Uncertain Piracy

Many firms that sell digital copies of copyrighted materials online face a common dilemma: the use of digital rights management (DRM) to impede pirates can impose restrictions on legitimate use. We introduce a two‐period model in which the use of DRM in the first period affects the probability that a consumer finds a pirated copy in the second period; the threat of legal action reduces consumers’ consumption of pirated copies; and firms choose whether to sell, and at what prices, either strongly or weakly DRM‐protected products, or both. Furthermore, we incorporate the role of uncertainty concerning future levels of piracy. Using a two‐period model with uncertainty, we investigate a firm's optimal DRM strategies and present the optimal pricing strategy as well as product launch strategy under different market conditions. We find that one important characteristic of the optimal strategy is that it is optimal to maintain the same product line configuration strategy for both periods. We also characterize the conditions under which each strategy is optimal.