Credibly reducing information asymmetry: Signaling on economic or environmental value by environmental alliances

This article focuses on strategic alliances that strive for economic profit while contributing to environmental sustainability. These so-called environmental alliances operate on a spectrum between the goals of economic and environmental value. New environmental alliances signal in announcements to their external stakeholders where they position themselves on this spectrum of alliance goals in order to reduce information asymmetry and enhance their credibility. In this article, we predict the type of external signal that environmental alliances send by studying alliance processes and structures that embed the latent alliance goals. We built an original dataset by combining data on 389 environmental alliances from the SDC Platinum database for the period 2013–2017 and data on signals in 650 alliance announcements. Our findings show that announcements signaling on economic value are mainly used by environmental production and marketing joint ventures, thereby reducing the information asymmetry on their latent goal of economic value. Conversely, announcements signaling on environmental value are mainly used by environmental R&D contracts that focus on the latent goal of environmental value. Our article thus illustrates that alliances aim to enhance their credibility by achieving signal fit between external signals and latent alliance goals. Even though environmental alliances operate on a spectrum of economic and environmental value, we demonstrate that they prefer to avoid sending mixed messages and hence only signal on one of the alliance goals. Our article contributes to the literature on environmental alliances by applying signaling theory to explain these counterintuitive findings and to improve our understanding of how environmental alliances aim for credibility through their communication on their alliance goals.     

Safe and Sorry: Risk, Environmental Equity, and Hazardous Waste Management Facilities

Many empirical environmental equity analyses have attempted to determine if hazardous waste treatment, storage, or disposal facilities (TSDFs) are in disproportionately minority or low-income areas. These prior analyses did not explain the extent of the risks posed by TSDFs, nor did they weight the distribution of those risks by the individual characteristics of the TSDFs. This study evaluated the risks posed by TSDFs in general and then examined whether any such risks were distributed inequitably when each TSDF was weighted by the amount of hazardous waste that it managed. Based on an assessment of the nature of the hazardous wastes that TSDFs manage, the possible exposure paths to risk from TSDFs, the laws designed to minimize the risks that TSDFs pose, and TSDFs' safety records, the attention devoted to TSDFs by environmental equity researchers is greatly exaggerated. Furthermore, based on this study's analyses, there was no pattern of the TSDFs or the risks that they posed being inequitably concentrated in disproportionately minority or low-income areas. Most of the TSDFs and the hazardous waste that they manage are in areas that are either unpopulated or have fewer minority or low-income people than the national average. There are, however, some TSDFs that are in highly populated, heavily minority or low-income areas, which results in such people being more likely overall to be in close proximity to these facilities.     

Business model design–performance relationship under external and internal contingencies: Evidence from SMEs in an emerging economy

We examined Business Model (BM) designs – performance relationship and the moderating effects of firm age and external environment on this relationship. Furthermore, we investigated the impact of simultaneously operating dual BM designs (i.e. novelty and efficiency) on firm performance and contingent effect of firm age on this relationship. Based on data from 241 Indian SMEs, our findings highlighted that BM novelty was of greater benefit to younger SMEs compared to mature SMEs, while BM efficiency was of greater benefit to more mature SMEs. The environmental dynamism positively moderated the relationship between BM novelty and performance but it negatively moderated the relationship between BM efficiency and performance. We also found that BM efficiency is more beneficial in a low, rather than a high, munificent environment but we found environmental munificence did not moderate the BM novelty and SME performance relationship. Finally, we found simultaneous deployment of BM novelty and BM efficiency resulted in an enhancement of performance among mature SMEs compared to younger SMEs. Our study not only adds to the limited literature on BMs in SMEs but also helps practicing managers and entrepreneurs to make informed choices about their BMs.     

An Examination of How Supervisors Influence Their Subordinates to Engage in Environmental Behaviors

Employee engagement in environmental behaviors is an important topic in operations management. Drawing upon stakeholder, commitment, and organizational support theories, this study creates and tests an empirical model of how store managers (i.e., supervisors) influence their direct reports (i.e., subordinates) to become engaged in environmental behaviors. Based on a dataset derived from supervisors and their subordinates who are employed at the same grocery store location across a large retail grocery chain, we test our study's nomological model and find support for the linkages proposed. Key research and managerial implications are discussed.     

产能过剩偏向性与环境污染——基于中介效应的检验

如何从矫正制度性缺失来破解我国环境污染较难根治且易于反复之谜是我国当前亟待解决的问题之一。本文尝试从行业和企业两个维度,基于中介效应模型,以产能过剩偏向性为视角来廓清中国环境污染治理之殇,并以顶层设计为抓手来明晰环境污染治理之道。研究发现:(1)产能过剩与环境污染的关系依赖于产能过剩在行业和企业维度上的偏向性,产能过剩是影响我国环境污染的重要原因,不同维度产能过剩的偏向性能够对环境污染产生较为显著的影响;(2)产能过剩偏向于污染密集型行业主要通过能源结构锁定效应和产业结构固化效应而加剧环境污染,产能过剩偏向于国有企业主要通过技术结构低端化效应而影响环境污染;(3)产能过剩偏向性作用于环境污染的路径不仅存在显著的市场化程度的调节效应,还存在着严重的区域异质性、水平异质性和阶段异质性。文章为推进制度变革、优化存量产能和有效治理环境污染提供了理论支持。     

Does the market value corporate response to climate change?

Motivated by the controversial debate on mandatory reductions of greenhouse gases in the U.S., this study explores whether the market values corporate response to tackle carbon dioxide emissions. We measure corporate responses using the measure of media tone based on the positive and negative words in each news article. Our results show that the market reacts favorably to the negative media exposure of corporate response to climate change over the announcement period and the one-year period, which implies that the socially responsible action to tackle climate change is costly. We further find that the positive response is less pronounced for firms from polluting industries and firms with poor environmental performance.     

Environmental Tobacco Smoke: Exposure-Response Relationships in Epidemiologic Studies

Demonstration of a dose-response relationship for environmental tobacco smoke (ETS) is an important indication of causality. Central to the analysis and interpretation of dose-response relations as described in epidemiological studies is the relationship between dose and exposure. It must be recognized that in studies of ETS we have only surrogate measures of dose, and these surrogate measures (based on exposure) are imperfect. The question-based measures of ETS exposure generally have not been standardized, may have limited validity and reliability, and cannot comprehensively describe total ETS exposure, exposure to individual ETS components, nor doses of biologically relevant agents at target sites. Nevertheless, useful data have been yielded in epidemiologic studies linking ETS exposure to increased respiratory infection and symptoms, reduced lung growth in children, and increased lung cancer in nonsmoking adults. The more consistent exposure-response data for studies on acute health in children may reflect the greater difficulty in measuring exposure in studies of chronic health in adults.     

Using our brains to develop better policy

Current governmental practices often use a method called weight of evidence (WoE) to integrate and weigh different sources of information in the process of reaching a decision. Recent advances in cognitive neuroscience have identified WoE-like processes in the brain, and we believe that these advances have the potential to improve current decision-making practices. In this article, we describe five specific areas where knowledge emerging from cognitive neuroscience may be applied to the challenges confronting decisionmakers who manage risks: (1) quantifying evidence, (2) comparing the value of different sources of evidence, (3) reaching a decision, (4) illuminating the role of subjectivity, and (5) adapting to new information. We believe that the brain is an appropriate model for structuring decision-making processes because the brain's network is designed for complex, flexible decision making, and because policy decisions that must ultimately depend on human judgment will be best served by methods that complement human abilities. Future discoveries in cognitive neuroscience will likely bring further applications to decision practice.     

PER Pressure: New Jersey''s "Population Emissions Ratio" Environmental Equity Screening Model

In recent years, much attention has focused on how to incorporate environmental equity considerations into government permitting programs for environmentally regulated facilities. On February 4, 2002, the New Jersey Department of Environmental Protection (NJDEP) became the first state environmental agency to propose a broad legally binding rule intended to guard against environmental inequity in its permitting decisions. The proposed rule centered on an innovative computerized environmental equity (EE) screening model that used "Population Emissions Ratios" to identify small geographic areas in which environmental equity concerns might exist and to simulate the effect on statewide environmental equity of increasing environmental risks in small geographic areas. The NJDEP's model examined an extensive array of ethnic groups, included a variety of environmental risks, evaluated most of those risks in terms of human health, and used an innovative simulation process designed to identify permitting decisions that would worsen statewide environmental inequity. The results of the NJDEP's efforts, however, pose substantial concerns. For example, some key provisions of the NJDEP's model were inadequately explained and some were illogical and would bias its results. The model might be susceptible to generating implausible results due to small, meaningless, and/or essentially random fluctuations in its data inputs. The model used relatively large geographic areas as the units of analysis and interpolated results between them, rather than using smaller geographic areas and avoiding interpolation errors. Finally, the environmental risks evaluated by the model were both arguably over- and underinclusive. Thus, the NJDEP's efforts, although noteworthy, raised more issues than they settled.     

Assessing Exposures to Environmental Tobacco Smoke

The combustion of tobacco indoors results in the emission of a wide range of air contaminants that are associated with a variety of acute and chronic health and comfort effects. Exposures to environmental tobacco smoke (ETS) are assessed for epidemiologic studies and risk assessment and risk management applications. An individual's or population's exposure to ETS can be assessed by direct methods, which employ personal air monitoring and biomarkers, and indirect methods, which utilize various degrees of microenvironmental measurements of spaces, models, and questionnaires in combination with time-activity information. The major issues related to assessing exposures to ETS are summarized and discussed, including the physical-chemical nature of ETS air contaminants, use of proxy air contaminants to represent ETS, use of biomarkers, models for estimating ETS concentrations indoors, and the application of questionnaires.     

Returns to scale vs. damages to scale in data envelopment analysis: An impact of U.S. clean air act on coal-fired power plants

This study proposes a use of Data Envelopment Analysis (DEA) to measure Returns to Scale (RTS) of US coal-fired power plants. The power plants produce not only desirable outputs (e.g., electricity) but also undesirable outputs (e.g., CO₂ and NO_x) as a result of their plant operations. Therefore, the proposed use of DEA also measures a new concept, or “DTS: Damages to Scale” (corresponding to RTS for undesirable outputs). Both scale measures discussed in this study are a quick-and-easy approach for assessing RTS and DTS, but not an exact method, because it does not consider a direct linkage between the two measures. This study applies the proposed approach to examine the legal validity of U.S. Clean Air Act (CAA). We find that the CAA has been legally effective and influential on the operation of coal-fired power plants in the United States because their plant operations belong to increasing RTS on a desirable output and increasing DTS on three undesirable outputs. The increasing DTS indicates a need for managerial improvement and/or engineering innovation such as advanced clean coal technology. This empirical result implies that U.S. federal and state governments need to expand the legal scope of CAA to the emission control of CO₂ because the current CAA excludes the regulation on CO₂ emission that is now considered as a main source of the global warming and climate change.     

Prioritizing Environmental Health Risks in the UAE

This article presents the results of a comparative environmental risk‐ranking exercise that was conducted in the United Arab Emirates (UAE) to inform a strategic planning process led by the Environment Agency‐Abu Dhabi (EAD). It represents the first national‐level application of a deliberative method for comparative risk ranking first published in this journal. The deliberative method involves a five‐stage process that includes quantitative risk assessment by experts and deliberations by groups of stakeholders. The project reported in this article considered 14 categories of environmental risks to health identified through discussions with EAD staff: ambient and indoor air pollution; drinking water contamination; coastal water pollution; soil and groundwater contamination; contamination of fruits, vegetables, and seafood; ambient noise; stratospheric ozone depletion; electromagnetic fields from power lines; health impacts from climate change; and exposure to hazardous substances in industrial, construction, and agricultural work environments. Results from workshops involving 73 stakeholders who met in five separate groups to rank these risks individually and collaboratively indicated strong consensus that outdoor and indoor air pollution are the highest priorities in the UAE. Each of the five groups rated these as being among the highest risks. All groups rated soil and groundwater contamination as being among the lowest risks. In surveys administered after the ranking exercises, participants indicated that the results of the process represented their concerns and approved of using the ranking results to inform policy decisions. The results ultimately shaped a strategic plan that is now being implemented.     

欧洲跨国公司在华投资企业的环境管理及其影响

本文以问卷调查与调研结果为依据,对欧洲跨国公司在中国的环境管理实践进行了较为深入的研究。作者认为,跨国公司的跨国界环境管理体系具有非强制性与指导性,而且就某个跨国公司而言,各地子公司的环境管理目标还因各子公司所在行业与地区的特点而异。在环境管理战略方面,多数跨国公司倾向于选择分散化或当地化的管理模式来适应不同的环境管理制度与环境标准,而不是国际一体化的环境管理模式。作者还认为,中国的环境管理体制与总部的环境管理政策决定着子公司的环境管理行为与环境表现。     

The closed-loop supply chain network with competition,distribution channel investment,and uncertainties

In this paper, a closed-loop supply chain network is investigated with decentralized decision-makers consisting of raw material suppliers, retail outlets, and the manufacturers that collect the recycled product directly from the demand market. We derive the optimality conditions of the various decision-makers, and establish that the governing equilibrium conditions can be formulated as a finite-dimensional variational inequality problem. We establish convergence of the proposed algorithm that can allow for the discussion of the effects of competition, distribution channel investment, yield and conversion rates, combined with uncertainties in demand, on equilibrium quantity transactions and prices. Numerical examples are provided for illustration.     

Industry and the environment: a case study of cleaner technologies in selected European countries

The aim of this case study is to discuss the role of technology in addressing environmental problems. The paper tries to scratch beneath the surface of the increasingly frequent ‘quick-fix’ solutions to the present environmental problems, based on such beguiling catchwords as Cleaner Technologies, Best Available Technologies, and Best Available Technologies Not Exceeding Excessive Costs, etc., in an attempt to discover whether there is any substance in them, or whether they are just full of hot air. Recent data from case studies performed by the author in Germany and Finland as well as a postal questionnaire in Denmark are presented. The paper analyses and discusses the roles and responsibilities of designers, industrialists, and government policy-makers. It is argued that existing regulatory regimes, supranational industrial structures, and market mechanisms do not favour the development of cleaner technologies, nor do they promote a reduction in consumption patterns. Evidence from ongoing empirical research in Northwest Europe suggests that industry is far from developing and/or implementing cleaner technologies. The paper closes with a discussion of some of the policy implications involved and some examples of urgently needed further research.     

Measuring and explaining the cost efficiency of municipal solid waste collection and processing services

This paper proposes an adjusted version of the popular efficiency measurement technique data envelopment analysis (DEA) that makes it possible (1) to evaluate the cost efficiency of municipalities in the collection and processing of multiple household waste fractions, (2) robustifying the cost efficiency evaluations for the impact of measurement errors in the data or municipalities with outlying and atypical performances (if present in the sample set), and (3) to correct the evaluations for differences in the operating environments of municipalities (e.g., factors such as demography and median income of the municipality population). The paper illustrates the usefulness of the methodology by carrying out and analyzing a cost efficiency evaluation using data on 293 municipalities in Flanders, Belgium, for the year 2008.