Development of environmental performance indicators supported by an environmental information system: Application to the Norwegian defence sector

Environmental performance indicators (EPIs) can be an important tool for evaluating and reporting the integration of environmental practices and tools in the defence sector, ensuring that environmental issues are being consistently and clearly followed into sector activities on a local and national scale. However, proper use of indicators is dependent on a suitable conceptual framework to manage and assess the environmental performance. Furthermore, monitoring is fundamental to environmental efficiency evaluations both to assess adherence to standards and to support management options. The use of EPI assures that a monitoring system for a public sector addresses only the key variables associated with significant environmental impacts and also improves communication with stakeholders. The main objective of this paper is to develop EPIs supported by an environmental information system (EIS), as a tool for environmental efficiency evaluations in the defence sector. To put the proposed approach into practice, the Norwegian defence EIS is used as a data source – a system developed to increase environmental awareness and to promote environmental efficiency, in the reporting of environmental aspects like use of ammunition, generation of waste, energy consumption, fuel consumption, use of chemicals, and water consumption. Use of real data acquired from the EIS is used to test and evaluate the robustness of the public sector's environmental performance indicator conceptual framework (SEPIIS), used to support the developed indicators. The main findings show how an indicator framework can be effectively combined with the use of an EIS designed to process data from a sector's activities, stressing how environmental issues could be integrated into overall public services performance management. The EPI developed for the Norwegian defence allowed to trace the sector's environmental performance, by comparisons with commissions from the Norwegian Ministry of Defence and national goals for GHG emissions, identifying areas for priority response measures. This joined approach of indicators and information systems could be useful to increase and improve environmental ex post and ex ante assessments, reporting and communication of defence activities.     

Corporate environmental performance,environmental information disclosure,and financial performance: Evidence from China

As pollution emitters and energy users, firms are important causes of environmental problems, making it increasingly vital for them to strengthen their environmental management and information disclosure policies. However, firms doubt whether it pays to be green and whether it is worthwhile to disclose their environmental information, and there are hot debates on these questions in the literature. This paper analyzes the relationships among corporate environmental performance, environmental information disclosure, and financial performance in China, which witnessed rapid growth at the price of environmental degradation. With 950 observations from 475 Chinese listed companies between 2013 and 2014, we find a U-shaped nonlinear relationship between corporate environmental performance and environmental disclosure, an insignificant relationship between environmental performance and financial performance, and a negative relationship between environmental disclosure and financial performance, which is different from most findings in developed countries. The aforementioned results imply that Chinese firms have few motivations to disclose environmental information or improve environmental performance; therefore, mandatory disclosure of environmental information is necessary, and proper environmental policy should be made to punish environmental violations and encourage better environmental performance.     

Implementing environmental labelling of food products in France

Consumers increasingly demand information about the environmental impacts of their food. The French government is in the process of introducing environmental labelling for all food products. A scientific council was set up, and its main conclusions are presented in this article, through six questions: What environmental issues should be considered? What objective should be targeted? What data are needed, and for whom? What methods for assessing environmental impacts? Which environmental scores should be chosen? What label format should be proposed? By answering these questions and considering the context, the available data, the proposed methods and adjustments, and the knowledge of consumer perception of formats, the scientific council considers that a labelling scheme is feasible and relevant.

     

The purpose of LCA in environmental labels and concepts of products

This very interesting Discussion Forum showed the different points of view of basic science and applied science in practice concerning environmental labeling and the lacking comparability between them. Practitioners and consumers stated the large amount of labels. At this point environmental key-parameter models like the one presented for green electricity could be an option. For LCA-researchers it was clear that environmental labeling ought to be connected to an LCA or a comparable environmental valuation method. ISO offers four types of labels and if every label on the market would be ISO-conform and declared as such, comparisons would be much easier. Practitioners from companies stated that a lot of environmental data about there products gained from LCA or similar methods is available, but that the consumer is not yet interested in this kind of information. But in any case their companies will go on issuing environmental declarations for products, hoping that in the long run consumer’s interest and choice will include environmental performance. The discussion in the panel also showed that social aspects are not preferably integrated in an environmental declaration but separate in a social declaration because the evaluation methods are totally different. In any case, the interest of the consumer in the social circumstances of the production of goods is steadily increasing.     

Linear programming as a tool in life cycle assessment

Linear Programming (LP) is a powerful mathematical technique that can be used as a tool in Life Cycle Assessment (LCA). In the Inventory and Impact Assessment phases, in addition to calculating the environmental impacts and burdens, it can be used for solving the problem of allocation in multiple-output systems. In the Improvement Assessment phase, it provides a systematic approach to identifying possibilities for system improvements by optimising the system on different environmental objective functions, defined as burdens or impacts. Ultimately, if the environmental impacts are aggregated to a single environmental impact function in the Valuation phase, LP optimisation can identify the overall environmental optimum of the system. However, the aggregation of impacts is not necessary: the system can be optimised on different environmental burdens or impacts simultaneously by using Multiobjective LP. As a result, a range of environmental optima is found offering a number of alternative options for system improvements and enabling the choice of the Best Practicable Environmental Option (BPEO). If, in addition, economic and social criteria are introduced in the model, LP can be used to identify the best compromise solution in a system with conflicting objectives. This approach is illustrated by a real case study of the borate products system. An erratum to this article is available at .     

Use of environmental challenges in behavioral toxicology

The term environmental challenges encompasses variables that are either known or suspected to affect a baseline of behavior. Environmental challenges can be used to provide information that is important for characterizing the behavioral effects of prior exposure to a toxicant, as well as for revealing effects of the toxicant that may not otherwise be apparent in the baseline under investigation. The use of environmental challenges can be applied in studies of all known classes of behavior, and in each case is limited only to the extent that appropriate variables can be identified and manipulated. Use of environmental challenges may be particularly relevant for studies of schedule-controlled operant behavior because many of the controlling variables have already been well specified. The rationale for using environmental challenges to characterize the behavioral effects of toxicants is very similar to that for using pharmacological challenges; both represent promising new research strategies in behavioral toxicology.     

Improved estimates of environmental copper release rates from antifouling products

The US Navy Dome method for measuring copper release rates from antifouling paint in-service on ships' hulls can be considered to be the most reliable indicator of environmental release rates. In this paper, the relationship between the apparent copper release rate and the environmental release rate is established for a number of antifouling coating types using data from a variety of available laboratory, field and calculation methods. Apart from a modified Dome method using panels, all laboratory, field and calculation methods significantly overestimate the environmental release rate of copper from antifouling coatings. The difference is greatest for self-polishing copolymer antifoulings (SPCs) and smallest for certain erodible/ablative antifoulings, where the ASTM/ISO standard and the CEPE calculation method are seen to typically overestimate environmental release rates by factors of about 10 and 4, respectively. Where ASTM/ISO or CEPE copper release rate data are used for environmental risk assessment or regulatory purposes, it is proposed that the release rate values should be divided by a correction factor to enable more reliable generic environmental risk assessments to be made. Using a conservative approach based on a realistic worst case and accounting for experimental uncertainty in the data that are currently available, proposed default correction factors for use with all paint types are 5.4 for the ASTM/ISO method and 2.9 for the CEPE calculation method. Further work is required to expand this data-set and refine the correction factors through correlation of laboratory measured and calculated copper release rates with the direct in situ environmental release rate for different antifouling paints under a range of environmental conditions.     

Prediction of breeding values and selection responses with genetic heterogeneity of environmental variance

There is empirical evidence that genotypes differ not only in mean, but also in environmental variance of the traits they affect. Genetic heterogeneity of environmental variance may indicate genetic differences in environmental sensitivity. The aim of this study was to develop a general framework for prediction of breeding values and selection responses in mean and environmental variance with genetic heterogeneity of environmental variance. Both means and environmental variances were treated as heritable traits. Breeding values and selection responses were predicted with little bias using linear, quadratic, and cubic regression on individual phenotype or using linear regression on the mean and within-family variance of a group of relatives. A measure of heritability was proposed for environmental variance to standardize results in the literature and to facilitate comparisons to "conventional" traits. Genetic heterogeneity of environmental variance can be considered as a trait with a low heritability. Although a large amount of information is necessary to accurately estimate breeding values for environmental variance, response in environmental variance can be substantial, even with mass selection. The methods developed allow use of the well-known selection index framework to evaluate breeding strategies and effects of natural selection that simultaneously change the mean and the variance.     

Biodiversity beyond trees: Panama’s Canal provides limited conservation lessons for Nicaragua

Megaprojects pose a major global environmental challenge. For instance, the forthcoming construction of the Nicaraguan Canal has generated controversy regarding its social and environmental consequences. To some, it will represent an unparalleled environmental catastrophe; to others, it will lead to net environmental and social benefits. In both cases, the Panama Canal emerges as an analogy to inform the environmental and social fate of Nicaragua. In our view, this comparison is incomplete and does not accurately represent the social and environmental realities of the two countries, and therefore, it might be of limited use for predicting the future of Nicaragua. Our analysis—based on evidence from the literature—revealed three emerging themes. First, our current understanding of the long-term environmental consequences of the two Canals in Central America is rather limited, even after 100 years of experience in Panama. Second, the historical, environmental and political differences between the two countries make the Panama Canal a poor predictor for the environmental and social fate of Nicaragua. Finally, previous assessments of the consequences of both megaprojects might be biased by a focus on forest conservation alone. This suggests that the apparent environmental and social benefits provided by such megaprojects might be more marginal than expected. This calls for a deeper analysis of costs and benefits of the construction and management of the two Canals in the Central American region, and their impacts on the natural world. These uncertainties might be a common consequence of many large-scale megaprojects around the world.     

Genetic Variation in a Heterogeneous Environment. I. Temporal Heterogeneity and the Absolute Dominance Model

The conditions for a stable polymorphism and the equilibrium gene frequency in an infinite population are compared when there is spatial or temporal environmental heterogeneity for the absolute dominance model. For temporal variation the conditions for stability are more restrictive and the equilibrium gene frequency is often at a low gene frequency. In a finite population, temporal environmental heterogeneity for the absolute dominance model was found to be quite ineffective in maintaining genetic variation and is often less effective than no selection at all. For comparison, the maximum maintenance for temporal variation is related to the overdominant model. In general, cyclic environmental variation was found to be more effective at maintaining genetic variation than where the environment varies stochastically. The importance of temporal environmental variation and the maintenance of genetic variation is discussed.     

湖泊生态恢复的基本原理与实现

当前我国湖泊污染及富营养化问题非常严重。湖泊治理的一个有效途径就是恢复水生植物,通过草型湖泊生态系统的培植来达到控制富营养化和净化水质的目的。但是,迄今为止,只有在局部水域或滨岸地区获得成功,恢复的水生植物主要是挺水植物或漂浮植物。鲜有全湖性的水生植物恢复和生态修复成功的例子。原因是对湖泊生态系统退化及其修复的机理了解甚少。实际上,环境条件不同决定了生态系统类型的不同,只有通过环境条件的改变才能实现生态系统的转变。利用草型湖泊生态系统来净化水质,其实质是利用生态系统对环境条件的反馈机制。但是,这种反馈无法从根本上改变其环境条件,因此其作用是有限的,不宜过分夸大。以往许多湖泊生态修复的工作之所以鲜有成功的例子,原因就是过于注重水生植物种植本身,而忽视了水生植物生长所需的环境条件的分析和改善。实施以水生植物恢复为核心的生态修复需要一定的前提条件。就富营养化湖泊生态恢复而言,这些环境条件包括氮磷浓度不能太高,富含有机质的沉积物应该去除,风浪不能太大以免对水生植物造成机械损伤,水深不能太深以免影响水生植物光合作用,鱼类种群结构应以食肉性鱼为主等等。因此,在湖泊污染很重或者氮磷负荷很高的情况下,寻求以沉水植物为核心的湖泊生态恢复来改善水质是不切实际的。为此,提出湖泊治理应该遵循先控源截污、后生态恢复,即先改善基础环境,后实施生态恢复的战略路线。     

Reconstructing paleoecology and paleoenvironmental variables using factor analysis and regression: some limitations

We test the success of Principal Components, Factor and Regression Analysis at recovering environmental signals using numerical experiments in which we control species environmental responses, the environmental conditions and the sampling scheme used for calibration. We use two general conditions, one in which sampling of a continental margin for benthic foraminiferal assemblages is done in a standard grid and the driving environmental variables are correlated to one another, and the other where sampling is done so that the environmental variables are uncorrelated. The first condition mimics many studies in the literature. We find that where the controlling environmental variables are correlated, Principal Components/Factor Analysis yield factors that reflect the common variance (correlation) of those variables. Since this common variance is largely a product of the sampling scheme, the factors extracted do not reliably present true species ecologic behavior. This behavior cannot be accurately diagnosed and faulty interpretations may lead to substantial error when using factor coefficients to reconstruct conditions in the past. When the sampling scheme is constructed so that the controlling environmental variables for the calibration data set are uncorrelated the factor patterns will reflect these variables more accurately. Species responses can be more successfully interpreted from the Principal Components/Factor Analysis structure matrices. Additionally, regression analysis can successfully extract the independent environmental signals from the biotic data set. However, matrix closure is a confounding effect in all our numerical results as it distorts species' abundances and spatial distribution in the calibration data set. Our results show clearly that a knowledge of the controlling environmental variables, and the correlations among these variables over a study area, is essential for the successful application of multivariate techniques for paleoenvironmental reconstruction.     

Incorporating costs in LCA

The goal of LCA is to identify the environmental impacts resulting from a product, process, or activity. While LCA is useful for evaluating environmental attributes, it stops short of providing information that business managers routinely utilize for decision-making — i.e., dollars. Thus, decisions regarding the processes used for manufacturing products and the materials comprising those products can be enhanced by weaving cost and environmental information into the decision-making process. Various approaches have been used during the past decade to supplement environmental information with cost information. One of these tools is environmental accounting, the identification, analysis, reporting, and use of environmental information, including environmental cost data. Environmental cost accounting provides information necessary for identifying the true costs of products and processes and for evaluating opportunities to minimize those costs. As demonstrated through two case studies, many companies are incorporating environmental cost information into their accounting systems to prioritize investments in new technologies and products.     

Regime shift and robustness of organism-created environments: A model for microbial ecosystems

Organism-environment interactions are different from organism-resource interactions in two respects: (1) resources can only be consumed by organisms whereas environmental conditions can be increased or decreased depending on the species; (2) high resource conditions generally stimulate the growth of organisms, whereas extreme environmental conditions are not necessarily favored because each species usually has an optimum range for growth. To investigate the properties of an organism-environment feedback system, we analyze a model for microbial ecosystems in which a single microorganism species can modify the environmental pH. We demonstrate that the equilibrium level of the environmental pH can be partially regulated at a relatively constant value even if the pH in the influx to the ecosystem changes over a wide range. For species that acidify the medium, the equilibrium pH is somewhat lower than the pH optimal for the species. The pH-stabilizing effect of microorganisms is stronger if their growth is self-limited by the environmental pH. When the influx becomes sufficiently alkaline, the population of the organism suddenly disappears and the environmental pH changes abruptly. The system shows bi-stability and hysteresis and therefore differs from a standard resource competition model composed of a single species that consumes resources.     

Interpreting genotype-by-environment interaction using redundancy analysis

Summary Methods for the interpretation of genotype-by-environment interaction in the presense of explicitly measured environmental variables can be divided into two groups. Firstly, methods that extract environmental characterizations from the data itself, which are subsequently related to measured environmental variables, e.g., regression on the mean or singular value decomposition of the matrix of residuals from additivity, followed by correlation, or regression, methods. Secondly, methods that incorporate measured environmental variables directly into the model, e.g., multiple regression of individual genotypical responses on environmental variables, or factorial regression in which a genotype-by-environment matrix is modelled in terms of concomitant variables for the environmental factor. In this paper a redundancy analysis is presented, which can be derived from the singular-value decomposition of the residuals from additivity by imposing the restriction on the environmental scores of having to be linear combinations of environmental variables. At the same time, redundancy analysis is derivable from factorial regression by rotation of the axes in the space spanned by the fitted values of the factorial regression, followed by a reduction of dimensionality through discarding the least explanatory axes. Redundancy analysis is a member of the second group of methods, and can be an important tool in the interpretation of genotype-by-environment interaction, especially with reference to concomitant environmental information. A theoretical treatise of the method is given, followed by a practical example in which the results of the method are compared to the results of the other methods mentioned.     

手机信令数据在粤港澳大湾区大气环境风险管理中的应用研究——以江门市为例

粤港澳大湾区是国际化程度、资源整合能力、经济价值和效益都极高的区域,必须高度重视其环境风险问题,避免区域生态系统和人民群众健康受到威胁。人类活动密集区的突发环境事件风险源和受体的涉及面广、来源复杂,利用传统统计数据和技术手段开展的环境风险评价越来越体现出其时效性弱、精准性差的缺点。尝试引入手机信令数据及其模拟分析的人口数据,并将其嵌入到网格化环境风险分析法中,对粤港澳大湾区的江门市大气环境风险进行评估,刻画区域环境风险空间分布特征,精准识别区域环境风险类型。研究方法是在遵循《行政区域突发环境事件风险评估推荐方法》的前提下,通过对比分析统计数据与手机信令数据得到的江门市人口空间分布、大气环境风险易损性及环境风险值,结果表明虽然两者的总体趋势是一致的,但利用手机信令数据得到的环境风险等级结果更精细化、分辨率更高、时效性更强、数据处理更高效。研究表明,基于手机信令数据开展分析显著提高了环境风险评估的风险受体人口分析精度,可为预测及管理区域环境风险提供准确参考,实现突发环境事件应急处置区域具体化、最小化,从而减小应急处理成本。     

Are Top Executives Rewarded for Environmental Performance? The Role of the Board of Directors in the Context of China

Based on institutional and agency theories, this study investigates whether firms use environmental performance as a criterion in incentive schemes for top executives in China, where the weakness of environmental regulations is criticized, and examines the potential moderating effects of board composition on the relationship between environmental performance and top executives’ compensation. Our analysis of 687 publicly traded firms in the manufacturing industry for the period 2008–2010 finds evidence of a positive association between environmental performance and top executives’ compensation. It shows that in firms with Chief Executive Officer–chairperson duality and larger boards, there is a tighter environmental performance–pay relationship, while top executives are found to be rewarded less for environmental performance in firms whose directors hold significant ownership. The presence of independent directors is not found to exert a significant influence on the environmental performance–pay relationship.     

A new approach for environmental risk assessment

Environmental problems, such as global warming, the limited supply of sustainable energy, the depletion of natural resources, hazardous emissions released into the atmosphere and waste, are increasing global concerns. Therefore, individuals, communities, and businesses need to address environmental protection and sustainability. Environmental impact assessments are needed to identify, mitigate, and control aspects that affect the environment or a company's products, services, or activities. In this study, a general environmental aspect and impact assessment approach, which can be applied to any company that is involved in the production or service sector, is created. An environmental impact pattern that consists of 10 main and 32 sub-categories was formed based on the ISO 14001, environmental studies and field applications. The developed approach was applied to the dyeing units of a manufacturing firm. Sixteen environmental aspects were identified and assessed using the environmental impact template via the environmental failure mode and effect analysis (E-FMEA) method. The developed-approach can be applied to each sector, which will enable us to perform a detailed analysis of the environmental aspects in the environmental impact category. This approach provides a checklist for the environmental impact studies of businesses and has been pioneered as an effective method for company resources to improve their environmental performance.     

Dispersal, Environmental Correlation, and Spatial Synchrony in Population Dynamics

Many species exhibit widespread spatial synchrony in population fluctuations. This pattern is of great ecological interest and can be a source of concern when the species is rare or endangered. Both dispersal and spatial correlations in the environment have been implicated as possible causes of this pattern, but these two factors have rarely been studied in combination. We develop a spatially structured population model, simple enough to obtain analytic solutions for the population correlation, that incorporates both dispersal and environmental correlation. We ask whether these two synchronizing factors contribute additively to the total spatial population covariance. We find that there is always an interaction between these two factors and that this interaction is small only when one or both of the environmental correlation and the dispersal rate are small. The interaction is opposite in sign to the environmental correlation; so, in the normal case of positive environmental correlation across sites, the population synchrony will be lower than predicted by simply adding the effects of dispersal and environmental correlation. We also find that population synchrony declines as the strength of population regulation increases. These results indicate that dispersal and environmental correlation need to be considered in combination as explanations for observed patterns of population synchrony.     

Strategy tool trial for office furniture

Purpose

A strategic product development tool combining REACH and environmental and financial factors was previously developed for a coatings company. This paper presents results from refining this tool for an office furniture company, using life cycle assessment (LCA)-based environmental information, addressing the research questions: ? Is it possible to combine information from REACH with the LCA approach to provide useful information for a furniture producer in their environmental product development process? ? Does the approach developed for substances in mixtures need to be adapted for articles? ? Is there a correlation between energy consumption and the environmental impacts analysed? ? Will product designers get the same information independent of the environmental impact category used? ?C Will the strategy tool indicate the same ranking of products for all environmental impacts? ?C Does REACH information indicate the same set of priorities as those arising from LCA environmental data alone? (Do they agree, or is there a conflict?) ? Will strategic decisions differ if different environmental indicators are in focus? The strategy tool??s purpose is to analyse company product portfolios, identifying products that need redevelopment or redesign because of issues concerning hazardous substances, or environmental performance.

Methods

The LCA data used is cradle-to-gate data from type III environmental declarations for 11 seating solutions. REACH Complexity, health hazard and environmental class indicators (based on risk phrases) are combined with financial data and LCA-based indicators. Correlations between energy consumption and environmental impact factors for these specific furniture products are investigated. Establishing any such correlations serves to simplify subsequent analysis in the product development process, by effectively reducing the number of indicators that need to be taken into consideration.

Results

Correlations between energy consumption and the environmental impacts global warming, acidification, eutrophication and heavy metals are presented. Strategy tool figures are shown for energy consumption, ozone depletion potential and photochemical oxidation potential. The results for office chairs and conference/visitor chairs are presented separately, as the two types of chairs fulfil different functions.

Conclusions

The correlation between energy consumption and certain environmental impact indicators affords a simplification of the product development process, since energy consumption can be used as a reasonable proxy for these indicators in this specific case. The results support acknowledged principles of Ecodesign. Energy and materials minimization improves environmental performance??higher recycled material content and proportion of renewable energy resources are also beneficial. Designers have to consider multiple aspects in parallel and the strategy tool is useful for this purpose; the furniture producer has gained useful product development insight. The tool is applicable for strategic choice of products for development or redesign that can be useful across many business sectors.