A more comprehensive and quantitative approach to corporate sustainability

This study proposes a new quantitative methodology and extendable framework to assess corporate sustainability more comprehensively and to capture interrelationships across the multiple domains of sustainability. A case study from the mining industry is presented to demonstrate the application of this new approach and its ability to extract meaningful insights regarding the company's progress towards sustainability. The comprehensive sustainability target method (CSTM) is a novel extension to an existing environmental burden sustainability assessment technique with additional focus on impacts within and across the societal and social justice domain. CSTM extends sustainability assessment recognizing planetary limits from human activity and relevant societal and community-based targets by formalizing assessment to include social and environmental beneficial impacts, as well as the interdependencies between the economic, environmental and societal domains. Outcomes from the mining industry case study reveal new insights into the sustainability of corporate operations as the comprehensive assessment framework provides a deeper and more extensive evaluation as compared to traditional sustainability assessments and corporate disclosures. In addition to maximal earth carrying capacity estimates for environmental burden targets, this study proposes that companies should assess sustainability for minimal limits applying to social beneficial impacts and maximal limits for social burden impacts. The overall theoretical construct and framework are presented to illustrate the robustness and extendibility of the technique to broadly incorporate various sustainability domains, assessment boundaries, and temporal considerations.     

Systematic comparative and sensitivity analyses of additive and outranking techniques for supporting impact significance assessments

Assessing the significance of environmental impacts is one of the most important and all together difficult processes of Environmental Impact Assessment. This is largely due to the multicriteria nature of the problem. To date, decision techniques used in the process suffer from two drawbacks, namely the problem of compensation and the problem of identification of the “exact boundary” between sub-ranges. This article discusses these issues and proposes a methodology for determining the significance of environmental impacts based on comparative and sensitivity analyses using the Electre TRI technique.An application of the methodology for the environmental assessment of a Power Plant project within the Valencian Region (Spain) is presented, and its performance evaluated. It is concluded that contrary to other techniques, Electre TRI automatically identifies those cases where allocation of significance categories is most difficult and, when combined with sensitivity analysis, offers greatest robustness in the face of variation in weights of the significance attributes. Likewise, this research demonstrates the efficacy of systematic comparison between Electre TRI and sum-based techniques, in the solution of assignment problems. The proposed methodology can therefore be regarded as a successful aid to the decision-maker, who will ultimately take the final decision.     

Modeling the environmental sustainability of timber structures: A case study

A revival in timber buildings and the appreciation of their positive physical and mechanical properties can be explained by the unique environmental credentials of timber products and their versatility. Heightened public awareness of sustainability in the construction sector places timber among the most preferential sustainable materials. There is plenty of previous research on sustainability assessments for complete buildings, although far less on the sustainability assessment of specific parts of the buildings, such as the case of timber structures. The objective of this study is to present an evaluation model, based on MIVES methodology, specifically designed for timber structures, which can be used to enhance the environmental sustainability and to reduce the impacts that are generated, in those areas where it has been awarded a lower score. The application of the model to the largest multi-storey residential timber building in south-western Europe clearly shows that changes to the material, such as its background and environmental certification, generate significant changes to the overall results of the assessment. A sensitivity analysis is then used to verify the analysis of the results and both the validity and the stability of the proposed model.     

A framework to assess food security in regional strategic environmental assessment

Today, food security is central to global social policy and sustainable development agendas; yet food security considerations have not yet widely penetrated environmental impact assessment (IA) practice. This paper investigates criteria and approaches to food security assessment that align with Regional Strategic Environment Assessment (RSEA); a form of IA commonly used to influence natural resource development programmes. The research is based on interviews with seven international food security experts about how food security assessment can be performed at a regional scale, responsive to the impacts of natural resource developments. Analysis of data reveals essential components, key considerations, and procedural requirements for food security assessment within RSEA processes. Based on the evidence, we conclude that food security assessment in RSEA cannot be approached in a piecemeal fashion. To be successful: it must include holistic and comprehensive consideration of all four food security dimensions; communities should be profiled in early stages of the assessment to characterize the regional food system and define its importance to food security; vulnerable populations should be prioritized in the assessment; and it is critical to incorporate meaningful and influential opportunities for public participation. Finally, the recommended approach to analyze food security in RSEA is ‘system analysis’ which includes examination of food system pathways. A conceptual and methodological framework to assess food security in RSEA is presented, intended as a guide for practitioners wishing to incorporate food security into RSEA and RSEA-like initiatives.     

A critical comparison of ten disposable cup LCAs

Disposable cups can be made from conventional petro-plastics, bioplastics, or paperboard (coated with petro-plastics or bioplastics). This study compared ten life cycle assessment (LCA) studies of disposable cups with the aim to evaluate the robustness of their results. The selected studies have only one impact category in common, namely climate change with global warming potential (GWP) as its category indicator. Quantitative GWP results of the studies were closer examined. GWPs within and across each study show none of the cup materials to be consistently better than the others. Comparison of the absolute GWPs (after correction for the cup volume) also shows no consistent better or worse cup material. An evaluation of the methodological choices and the data sets used in the studies revealed their influence on the GWP. The differences in GWP can be attributed to a multitude of factors, i.e., cup material and weight, production processes, waste processes, allocation options, and data used. These factors basically represent different types of uncertainty. Sensitivity and scenario analyses provided only the influence of one factor at once. A systematic and simultaneous use of sensitivity and scenario analyses could, in a next research, result in more robust outcomes.     

A systems approach to modeling Community-Based Environmental Monitoring: a case of participatory water quality monitoring in rural Mexico

Community-Based Environmental Monitoring (CBM) is a social practice that makes a valuable contribution to environmental management and construction of active societies for sustainable future. However, its documentation and analysis show deficiencies that hinder contrast and comparison of processes and effects. Based on systems approach, this article presents a model of CBM to orient assessment of programs, with heuristic or practical goals. In a focal level, the model comprises three components, the social subject, the object of monitoring, and the means of action, and five processes, data management, social learning, assimilation/decision making, direct action, and linking. Emergent properties were also identified in the focal and suprafocal levels considering community self-organization, response capacity, and autonomy for environmental management. The model was applied to the assessment of a CBM program of water quality implemented in rural areas in Mexico. Attributes and variables (indicators) for components, processes, and emergent properties were selected to measure changes that emerged since the program implementation. The assessment of the first 3 years (2010–2012) detected changes that indicated movement towards the expected results, but it revealed also the need to adjust the intervention strategy and procedures. Components and processes of the model reflected relevant aspects of the CBM in real world. The component called means of action as a key element to transit “from the data to the action.” The CBM model offered a conceptual framework with advantages to understand CBM as a socioecological event and to strengthen its implementation under different conditions and contexts.     

A decision-support system for sustainable urban metabolism in Europe

Urban metabolism components define the energy and material exchanges within a city and, therefore, can provide valuable information on the environmental quality of urban areas. Assessing the potential impact of urban planning alternatives on urban metabolism components (such as energy, water, carbon and pollutants fluxes) can provide a quantitative estimation of their sustainability performance. Urban metabolism impact assessment can, therefore, contribute to the identification of sustainable urban structures with regards, for example, to building types, materials and layout, as well as to location and capacity of transportation and infrastructural developments. In this way, it enables the formulation of planning and policy recommendations to promote efficient use of resources and enhance environmental quality in urban areas.The European FP7 project BRIDGE (sustainaBle uRban plannIng Decision support accountinG for urban mEtabolism) has developed a decision-support system (DSS) that systematically integrates urban metabolism components into impact assessment processes with the aim of accurately quantifying the potential effects of proposed planning interventions. The DSS enables integration of multiple spatial and non-spatial datasets (e.g. physical flows of energy and material with variables of social and economic change) in a systematic manner to obtain spatially defined assessment results and to thus inform planners and decision-makers. This multi-criteria approach also enables incorporation of stakeholders' perceptions in order to prioritise decisive assessment criteria. This paper describes the methodological framework used to develop the DSS and critically examines the results of its practical application in five European cities.     

Challenges in meeting international standards in undertaking social impact assessment in Russia

Implementing good practice social impact assessment (SIA) that meets international standards in countries in transition is problematic. We reflect on the challenges faced when undertaking SIA in the Russian Federation. These challenges restrict meaningful SIA processes from being undertaken and limit public participation and the effective community engagement of project-affected local people. Based on the self-reflexive professional experience of two Russian-based social practitioners, and their discursive interactions with two leading academics in environmental and social impact assessment, as well as on in-depth interviews with prominent Russian and international experts, we identified the key challenges that prevent effective SIA from being implemented in Russia: a lack of understanding of the international standards; discrepancy in the determination of the social area of influence between the national requirements and international standards; difficulties in combining national and international impact assessment processes; and a tendency by companies to restrict stakeholder engagement to the minimum. We hope that by having an awareness of these limitations, improvements to SIA practice in Russia and elsewhere will be made.     

A framework for combining social impact assessment and risk assessment

An increasing focus on integrative approaches is one of the current trends in impact assessment. There is potential to combine impact assessment with various other forms of assessment, such as risk assessment, to make impact assessment and the management of social risks more effective. We identify the common features of social impact assessment (SIA) and social risk assessment (SRA), and discuss the merits of a combined approach. A hybrid model combining SIA and SRA to form a new approach called, ‘risk and social impact assessment’ (RSIA) is introduced. RSIA expands the capacity of SIA to evaluate and manage the social impacts of risky projects such as nuclear energy as well as natural hazards and disasters such as droughts and floods. We outline the three stages of RSIA, namely: impact identification, impact assessment, and impact management.     

Towards a more holistic sustainability assessment framework for agro-bioenergy systems — A review

The use of life cycle assessment (LCA) as a sustainability assessment tool for agro-bioenergy system usually has an industrial agriculture bias. Furthermore, LCA generally has often been criticized for being a decision maker tool which may not consider decision takers perceptions. They are lacking in spatial and temporal depth, and unable to assess sufficiently some environmental impact categories such as biodiversity, land use etc. and most economic and social impact categories, e.g. food security, water security, energy security. This study explored tools, methodologies and frameworks that can be deployed individually, as well as in combination with each other for bridging these methodological gaps in application to agro-bioenergy systems. Integrating agronomic options, e.g. alternative farm power, tillage, seed sowing options, fertilizer, pesticide, irrigation into the boundaries of LCAs for agro-bioenergy systems will not only provide an alternative agro-ecological perspective to previous LCAs, but will also lead to the derivation of indicators for assessment of some social and economic impact categories. Deploying life cycle thinking approaches such as energy return on energy invested-EROEI, human appropriation of net primary production-HANPP, net greenhouse gas or carbon balance-NCB, water footprint individually and in combination with each other will also lead to further derivation of indicators suitable for assessing relevant environmental, social and economic impact categories. Also, applying spatio-temporal simulation models has a potential for improving the spatial and temporal depths of LCA analysis.     

深入推进新时代生态环境质量综合分析工作

生态环境质量综合分析是生态环境监测业务流程的重要环节,直接反映生态环境监测服务支撑能力水平。回顾了生态环境质量综合分析的历史沿革与主要成绩,并分析了新时代面临的新形势,如生态系统理论的引领、生态环境考核的要求、信息公开的深化、信息化与大数据的发展等,提出需要在系统化、精细化、信息化和形象化等方向上不断强化,实现新时代生态环境质量综合分析服务生态环境管理和社会公众能力水平的新飞跃。     

Approaches for performing uncertainty analysis in large-scale energy/economic policy models

A number of key policy insights have emerged from the application of large-scale economic/energy models, such as integrated assessment models for climate change. These insights have been particularly powerful in those instances when they are shared by all or most of the existing models. On the other hand, some results and policy recommendations obtained from integrated assessment models vary widely from model to model. This can limit their usability for policy analysis. The differences between model results are mostly due to different underlying assumptions about exogenous processes, about endogenous processes and the dynamics among them, differences in value judgments, and different approaches for simplifying model structure for computational purposes. Uncertainty analyses should be performed for the dual purpose of clarifying the uncertainties inherent in model results and improving decision making under uncertainty. This paper develops a unifying framework for comparing the different types of uncertainty analyses through their objective functions, categorizes types of uncertainty analyses that can be performed on large models, and compares different approaches to uncertainty analysis by explaining underlying assumptions, suitability for different model types, and advantages and disadvantages. The appendix presents a summary of integrated assessment models for climate change that explicitly account for uncertainty.     

Inclusion of uncertainty in Environmental Impact Assessment in Greenland

Uncertainty is an inherent part of impact assessment (IA), and can vary in type and source. However, according to previous research, uncertainty is rarely explicitly acknowledged and handled in IA, indicating that it is a challenging issue in practice. This paper adds to the current research body a study of EIA in Greenland, which includes a document study of EIA reports as well as white papers and summaries from public hearings. The study findings are in line with previous results, finding a limited explicit acknowledgement of uncertainty, although uncertainty is indicated through implicit language use. The study also finds that various tools are applied, which could be used for handling uncertainty, including sensitivity analysis, monitoring and worst-case estimates. However, often these tools are not used systematically, and it is not transparent whether they are targeted at handling uncertainty. Regarding the examination of materials from hearing processes, there is little evidence that uncertainty is part of the discussions. These results initiate discussions of how choices of whether and how to acknowledge and handle uncertainty are made, and how consciously participants in the process make these choices.     

Adapting social impact assessment to address a project's human rights impacts and risks

We address the weaknesses inherent in the social risk assessments undertaken for business, especially in the extractive industries. In contrast to the conventional approach that considers consequence to the company rather than to impacted communities, conformance with the United Nations Guiding Principles on Business and Human Rights requires that consequence to affected communities has precedence. In order for social risks to be properly assessed, we consider that: companies need to know and understand the human rights impacts of their activities; contemporary approaches to project impact and risk assessment need to be adapted to consider human rights; and environmental impact assessment (EIA) and social impact assessment (SIA) methods need to be adapted to give greater attention to impacts on human rights. Using an example from the mining, oil and gas sector, we provide a method that differentiates social risks from business risks, and we position impact assessment as an instrument that actively facilitates the improved identification, analysis and management of social risks. Practical adaptations to SIA activities and risk assessment processes are provided. Taking human rights impacts into account and using the dimensions of gravity, extent, vulnerability and remediability, we nominate criteria to assess the significance of negative social impacts.     

Social Impact Management Plans: Innovation in corporate and public policy

Social Impact Assessment (SIA) has traditionally been practiced as a predictive study for the regulatory approval of major projects, however, in recent years the drivers and domain of focus for SIA have shifted. This paper details the emergence of Social Impact Management Plans (SIMPs) and undertakes an analysis of innovations in corporate and public policy that have put in place ongoing processes – assessment, management and monitoring – to better identify the nature and scope of the social impacts that might occur during implementation and to proactively respond to change across the lifecycle of developments. Four leading practice examples are analyzed. The International Finance Corporation (IFC) Performance Standards require the preparation of Environmental and Social Management Plans for all projects financed by the IFC identified as having significant environmental and social risks. Anglo American, a major resources company, has introduced a Socio-Economic Assessment Toolbox, which requires mine sites to undertake regular assessments and link these assessments with their internal management systems, monitoring activities and a Social Management Plan. In South Africa, Social and Labour Plans are submitted with an application for a mining or production right. In Queensland, Australia, Social Impact Management Plans were developed as part of an Environmental Impact Statement, which included assessment of social impacts. Collectively these initiatives, and others, are a practical realization of theoretical conceptions of SIA that include management and monitoring as core components of SIA. The paper concludes with an analysis of the implications for the practice of impact assessment including a summary of key criteria for the design and implementation of effective SIMPs.     

An evaluation of a risk-based environmental regulation in Brazil: Limitations to risk management of hazardous installations

The environmental regulation of hazardous projects with risk-based decision-making processes can lead to a deficient management of human exposure to technological hazards. Such an approach for regulation is criticized for simplifying the complexity of decisions involving the economic, social, and environmental aspects of the installation and operation of hazardous facilities in urban areas. Results of a Brazilian case study indicate that oil and gas transmission pipelines may represent a threat to diverse communities if the relationship between such linear projects and human populations is overlooked by regulatory bodies. Results also corroborate known challenges to the implementation of EIA processes and outline limitations to an effective environmental and risk management. Two preliminary topics are discussed to strengthen similar regulatory practices. Firstly, an effective integration between social impact assessment and risk assessment in EIA processes to have a more comprehensive understanding of the social fabric. Secondly, the advancement of traditional management practices for hazardous installations to pursue a strong transition from assessment and evaluation to management and control and to promote an effective interaction between land-use planning and environmental regulation.     

Confronting Management Challenges in Highly Uncertain Natural Resource Systems: a Robustness–Vulnerability Trade-off Approach

This paper presents a framework for the study of policy implementation in highly uncertain natural resource systems in which uncertainty cannot be characterized by probability distributions. We apply the framework to parametric uncertainty in the traditional Gordon–Schaefer model of a fishery to illustrate how performance can be sacrificed (traded-off) for reduced sensitivity and hence increased robustness, with respect to model parameter uncertainty. With sufficient data, our robustness–vulnerability analysis provides tools to discuss policy options. When less data are available, it can be used to inform the early stages of a learning process. Several key insights emerge from this analysis: (1) the classic optimal control policy can be very sensitive to parametric uncertainty, (2) even mild robustness properties are difficult to achieve for the simple Gordon–Schaefer model, and (3) achieving increased robustness with respect to some parameters (e.g., biological parameters) necessarily results in increased sensitivity (decreased robustness) with respect to other parameters (e.g., economic parameters). We thus illustrate fundamental robustness–vulnerability trade-offs and the limits to robust natural resource management. Finally, we use the framework to explore the effects of infrequent sampling and delays on policy performance.     

An integrated method for the assessment of social sustainability in public-works procurement

Today, critical deficiencies hinder the effective inclusion of social criteria in public-works procurement. The primary reasons for this are the lack of information and objective social assessment methods in the construction industry. Hence, this paper proposes a method to assist agencies in including indicators and objective assessments of social sustainability in public-works procurement. This method applies to civil engineering projects in the infrastructure life-cycle construction stage using design-bid-build delivery. Eight social categories and 22 factors are organized into two organizational levels (project and company). Quantitative and semi-quantitative indicators are proposed to assess the social commitment of construction companies in their organizations and projects. Additionally, two aggregation formulas are established as assessment criteria in public-works procurement. The results highlight that the indicators' importance in assessing social commitment in a project can be defined depending on the local context. Moreover, the method to assess corporate social responsibility can also measure and compare a company's performance, regardless of size. The proposed method can be used in procurement procedures, helping public-works procurers develop transparent decision processes.     

The social values at risk from sea-level rise

Analysis of the risks of sea-level rise favours conventionally measured metrics such as the area of land that may be subsumed, the numbers of properties at risk, and the capital values of assets at risk. Despite this, it is clear that there exist many less material but no less important values at risk from sea-level rise. This paper re-theorises these multifarious social values at risk from sea-level rise, by explaining their diverse nature, and grounding them in the everyday practices of people living in coastal places. It is informed by a review and analysis of research on social values from within the fields of social impact assessment, human geography, psychology, decision analysis, and climate change adaptation. From this we propose that it is the ‘lived values’ of coastal places that are most at risk from sea-level rise. We then offer a framework that groups these lived values into five types: those that are physiological in nature, and those that relate to issues of security, belonging, esteem, and self-actualisation. This framework of lived values at risk from sea-level rise can guide empirical research investigating the social impacts of sea-level rise, as well as the impacts of actions to adapt to sea-level rise. It also offers a basis for identifying the distribution of related social outcomes across populations exposed to sea-level rise or sea-level rise policies.     

Field application of SPME as a novel tool for occupational exposure assessment with inhalational anesthetics

Occupational exposure to inhalational anesthetics occurs routinely in operating rooms. It could induce serious health hazards and diseases. This exposure assessment is a crucial step in determining risks. In this study, a pen-shaped holder for solid-phase microextraction (SPME) sampler was successfully applied as a time-weighted average sampling tool for workshift exposure assessment of operation room staff to halothane. It proved to be very convenient for use in occupational environments such as operation rooms. Samples were analyzed by a gas chromatography-mass spectrometry. The validity of the SPME method was checked in real-world conditions with Occupational Safety and Health Administration (OSHA) 103 standard method for the determination of inhalational anesthetics. A good agreement between OSHA 103 and SPME methods was obtained and results demonstrated no statistically significant differences in anesthetic concentrations determined by the two analytical methods (p?≥?0.05). It is concluded that SPME in retracted mode could successfully be applied in occupational exposure assessment purposes.