Assessing human rights impacts in corporate development projects

Human rights impact assessment (HRIA) is a process for systematically identifying, predicting and responding to the potential impact on human rights of a business operation, capital project, government policy or trade agreement. Traditionally, it has been conducted as a desktop exercise to predict the effects of trade agreements and government policies on individuals and communities. In line with a growing call for multinational corporations to ensure they do not violate human rights in their activities, HRIA is increasingly incorporated into the standard suite of corporate development project impact assessments. In this context, the policy world's non-structured, desk-based approaches to HRIA are insufficient. Although a number of corporations have commissioned and conducted HRIA, no broadly accepted and validated assessment tool is currently available. The lack of standardisation has complicated efforts to evaluate the effectiveness of HRIA as a risk mitigation tool, and has caused confusion in the corporate world regarding company duties. Hence, clarification is needed. The objectives of this paper are (i) to describe an HRIA methodology, (ii) to provide a rationale for its components and design, and (iii) to illustrate implementation of HRIA using the methodology in two selected corporate development projects—a uranium mine in Malawi and a tree farm in Tanzania. We found that as a prognostic tool, HRIA could examine potential positive and negative human rights impacts and provide effective recommendations for mitigation. However, longer-term monitoring revealed that recommendations were unevenly implemented, dependent on market conditions and personnel movements. This instability in the approach to human rights suggests a need for on-going monitoring and surveillance.     

Environmental and sustainability indicators and the concept of situational indicators. A systems approach

Through a systems approach indicators are shown to have the nature of variables, adopting different values or states, while other associated terms allude to special meanings assigned to specific values of the indicators. Practical implications are discussed. The concept of situational indicators of sustainability is introduced, representing a non-numerical function of both “pressures” or “driving forces” and “state” variables. A cost-effective multi-tiered approach to situational indicators is proposed. The concept of situational indicators is shown to be a particular case of indicators of systems behavior. A general systems formulation of the problem of sustainability highlights the importance of indicators of systems behavior and the central role of models in their definition.     

Evaluating the use of Social Impact Assessment in the context of agricultural development projects in Iran

The utilisation of Social Impact Assessment (SIA) in Iran is analysed in terms of its policy context and its application in practice. Five case studies where SIA was employed in conjunction with Environmental Impact Assessments (EIA) for agricultural development projects are evaluated. In addition, the performance of the policy context is assessed. This research revealed that there are legal and institutional constraints to the effective functioning of SIA in Iran, and that there are deficiencies in the operating guidelines. There were serious problems associated with the way SIA was undertaken in all five case studies. Recommendations to improve the policy framework for the conduct of SIA are made. The recommendations advocate for a higher profile of SIA within legislation, for social issues to have greater emphasis in official guidelines for the conduct of EIA and SIA, and for a range of measures to increase the professionalism of SIA practice.     

Establishment and applied research on environmental sustainability assessment indicators in Taiwan

The study utilizes the method of Material Flow, Ecological Footprint Model and other related indicators to establish the Indicator System of Sustainable Development. Principal Component Analysis is used to abstract the representative factors in order to estimate the indicators of ecological sustainable development during 1998~2005 in Taiwan, as well as to make policy recommendations. The research indicates following results: (1) The Direct Material Input (DMI) of Taiwan shows constant instability and depends on heavy import activity. The annual increase of considerable greenhouse gas emission leads to a comparative growth of the Domestic Process Output (DOP). The both material consumption and inventory formation of the economy are unsteady. In addition, the Physical Trade Balance (PTB) indicates that supply exceeds demand, as well as the occasional shortage of building materials. (2) The 2005 per capita Ecological Demand footprint in Taiwan is 6.5392 hm(2), making the Ecological Deficit per capita 4.8569 hm(2). The figures reflect that productivity and life intensity of residents have exceeded the carrying capacity of Taiwan's ecological economic system. (3) The overall Synthetic Trend Indicators of Sustainable Development in Taiwan are decreasing. Therefore, if proper measures are not adopted in time, the current weak sustainability will lead into the vicious circle which departs from sustainable development.     

Review of sustainability indices and indicators: Towards a new City Sustainability Index (CSI)

The purpose of this paper is to discuss conceptual requirements for a City Sustainability Index (CSI) and to review existing major sustainability indices/indicators in terms of the requirements. The following indices are reviewed: Ecological Footprint (EF), Environmental Sustainability Index (ESI), Dashboard of Sustainability (DS), Welfare Index, Genuine Progress Indicator (GPI), Index of Sustainable Economic Welfare, City Development Index, emergy/exergy, Human Development Index (HDI), Environmental Vulnerability Index (EVI), Environmental Policy Index (EPI), Living Planet Index (LPI), Environmentally-adjusted Domestic Product (EDP), Genuine Saving (GS), and some applications of composite indices or/and multivariate indicators to local or regional context as case studies. The key conceptual requirements for an adequate CSI are: (i) to consider environmental, economic and social aspects (the triple bottom line of sustainability) from the viewpoint of strong sustainability; (ii) to capture external impacts (leakage effects) of city on other areas beyond the city boundaries particularly in terms of environmental aspects; (iii) to create indices/indicators originally for the purpose of assessing city sustainability; and (iv) to be able to assess world cities in both developed and developing countries using common axes of evaluation. Based on the review, we conclude that it is necessary to create a new CSI that enables us to assess and compare cities' sustainability performance in order to understand the global impact of cities on the environment and human life as compared with their economic contribution. In the future, the CSI will be able to provide local authorities with guidance toward sustainable paths.     

Evaluating the implementation of cleaner production audit demonstration projects

Cleaner production audit demonstration projects were carried out in two Chinese case factories as part of a project co-sponsored by the Illinois Environmental Protection Agency and China's State Environmental Protection Administration. Audit results at both factories were characterized by implementation of predominantly low- or no-cost options, notable reductions in water pollution, and incomplete financial benefit analyses. Two reasons explain the financial benefit analyses' apparent weakness. First, factory audit teams were inexperienced in the techniques and procedures used to determine the economic benefits of cleaner production options. Second, motivations project personnel had for participating in the demonstration projects were not centered on attaining the monetary benefits of implementing cleaner production. Instead, other factors related to the international nature of the project, such as a high degree of state level oversight and prestige, were more influential in affecting the behavior of project personnel.     

Evaluating the environmental sustainability of biomass-based energy strategy: Using an impact matrix framework

A roadmap for a more sustainable energy strategy is complex, as its development interacts critically with the economic, social, and environmental dimensions of sustainable development. This paper applied an impact matrix method to evaluate the environmental sustainability and to identify the desirable policy objectives of biomass-based energy strategy for the case of Alberta. A matrix with the sustainability domains on one axis and areas of environmental impact on the other was presented to evaluate the nexus effect of policy objectives and bioenergy production.As per to our analysis, economic diversification, technological innovation, and resource conservation came up as the desirable policy objectives of sustainable development for Alberta because they demonstrated environmental benefits in all environmental impact categories, namely climate change, human health, and ecosystem. On the other hand, human health and ecosystem impacts were identified as trade-offs when the policy objectives for sustainability were energy security, job creation, and climate change. Thus, bioenergy can mitigate climate change but may impact human health and ecosystem which then in turn can become issues of concern. Energy strategies may result in shifting of risks from one environmental impact category to another, and from one sustainable domain to another if the technical and policy-related issues are not identified.     

Deriving indicators of sustainable development

Assessments of current and future development paths require comprehensive sets of indicators covering all essential aspects. From a holistic systems point of view, most currently proposed indicator sets are incomplete and deficient. Assessments of sustainable development require a full representation of the satisfaction states of the “basic orientors” (=fundamental interests) of constituent sector systems, and of their contribution to basic orientor satisfaction of the total system. Basic orientors are value dimensions (existence, effectiveness, freedom of action, security, adaptability, coexistence) emerging from a self-organizing system's interaction with its environment, and its fundamental properties (normal environmental state, scarce resources, variety, variability, change, other systems). Basic orientors are also reflected in human emotions, societal punishment, psychological and social needs, life styles, and values emerging in self-organization of artificial life. The relative weight assigned to basic orientors of partner systems is a question of ethics. Based on these concepts, a general scheme for finding a “complete” set of indicators of viability and sustainability is derived, and it is applied to deriving a comprehensive set of indicators of sustainable development for society and its sector systems (infrastructure, economic system, social system, individual development, government, environment and resource system). The method can be applied at different levels of complexity and regional resolution. A full set of regional indicators for sustainable development is presented, a method for compact assessment of development paths using orientor stars is described, and the approach for application at the community level is outlined.     

Digital archives,big data and image-based culturomics for social impact assessment: Opportunities and challenges

Social impact assessment (SIA) is well-established but uses conventional approaches that have become less effective in recent decades, particularly in relation to declining survey response rates and a lack of youth engagement. Images from digital archives and social media sources are poised to advance the research and practice of SIA by transcending text-based methods with insights into changing landscapes, and human engagement with them. This viewpoint describes progress, challenges and cautions toward the development of such tools (defined as culturomics), using hydroelectricity cases to illustrate potential approaches. These tools build on foundational work in a range of disciplines, including the humanities and computer science. We describe necessary advances in machine learning, image digitization, and data aggregation and visualization techniques, as well as ways to ensure that such tools are carefully tested, applied and interpreted. Challenges include the automation, acquisition and management of datasets, and using these tools appropriately and equitably. Critically, culturomics of any kind must not be used as a replacement for engagement with people, but as complementary to inclusive stakeholder engagement.     

Evaluating cumulative effects of small scale hydropower development using GIS modelling and representativeness assessments

Assessing cumulative effects are a vital task for strategic environmental assessments (SEA) but lack of consistent methodology has hampered the development and implementation of useful tools. We present a model for GIS and multivariate analysis to assess the effects on a valued ecosystem type at a regional scale based on the sum of impacts of local projects. We demonstrate application of the model by assessing how hydropower developments would generate cumulative impacts on river gorges for a county in northern Norway. We use principal component analyses (PCA) of spatially-explicit variables from the region to describe the diversity of river gorge ecology with a mathematical low-dimensional bioclimatic space. We then calculate cumulative effects of hydropower development as the proportions of subspaces of the multidimensional bioclimatic PCA that are affected by either existing infrastructure or planned and possible hydropower developments. The results showed that adding development of all potential sites for small-scale hydropower would have substantial impacts on over half of all bioclimatic segments where gorges were registered and more than 70% of all segments with forested river gorges. By demonstrating these possible cumulative effects we can illustrate the need for caution in hydropower planning to avoid reducing river gorge representativeness and diversity. The method can be applied for other types of development projects and other valued ecosystems, provided the assessed ecosystems and development installations can be mapped or modelled over a sufficiently large area.     

Partial information and complex development decisions: Illustrations from infrastructure projects

This study assesses the theoretical and practical limitations of evaluations of infrastructure projects. Existing tools used in such evaluations typically exhibit two main limitations. Firstly, they tend to accommodate only two dimensions at once and rely on extensive use of averages for additional dimensions. Secondly, they mostly produce a narrow (project exclusive) or information that is too general, thereby precluding both broader and more detailed interpretations at once.Development decisions so informed are consequently based on partial information. Too often this has produced unsatisfactory outcomes for some stakeholders along with increased risks and heightened uncertainties. This is particularly the case for infrastructure projects.This paper proposes an alternative approach to development decision-making called ‘complex stakeholder perception mapping’ (CSPM). CSPM's evaluations inclusively involve a spectrum of insights and perception maps which offer flexibility, combined with complex perceptions of multiple stakeholders on multiple aspects of development.Applicability of CSPM is demonstrated using four perceptual dimensions in infrastructure development evaluation. Different perception combinations and individual group perceptions generate patterns which indicate aspects and groups that need attention. This approach generates rigorous interpretations of information at both the micro and macro level of the project environment, thereby supporting well-informed strategic decision making to advance project outcomes.     

A method for evaluating the funding of components of natural resource and conservation projects

Many public and private entities such as government agencies and private foundations have missions related to the improvement, protection, and sustainability of the environment. In pursuit of their missions, they fund projects with related outcomes. Typically, the funding scene consists of scarce funding dollars for the many project requests. In light of funding limitations and funder's search for innovative funding schemes, a method to support the allocation of scarce dollars among project components is presented. The proposed scheme has similarities to methods in the project selection literature but differs in its focus on project components and its connection to and enumeration of the universe of funding possibilities. The value of having access to the universe is demonstrated with illustrations. The presentation includes Excel implementations that should appeal to a broad spectrum of project evaluators and reviewers. Access to the space of funding possibilities facilitates a rich analysis of funding alternatives.     

Selection of ecological indicators for the conservation, management and monitoring of Mediterranean coastal salinas

Salinas systems are artificial wetlands which are interesting from the viewpoint of nature conservation. They play an important role both as habitats for migratory waterbird species and as nodes of biotic connectivity networks. In the Mediterranean basin, where the coastal salinas are highly significant as alternative and complementary habitats for waterbirds, a process of abandonment occurs, and many seminatural systems of this kind are disappearing. This abandonment is having serious consequences for migratory bird populations and for the ecological role these play. In the present paper, this group of waterbird species has been used to evaluate these wetlands for conservation purposes. We have developed a methodological approach for the selection of ecological indicators for the conservation and management of these Mediterranean habitats and waterbird assemblages, the main consumers therein. The stepwise procedure developed constitutes a practical tool for this task. Application thereof enabled us to differentiate the habitats available for the waterbirds and to identify the biotic and abiotic indicators for the maintenance and management of the salina ecosystems. These variables can then be incorporated into monitoring programs.     

Evaluating impacts of marine governance on human communities: Testing aspects of a human impact assessment model

A human impact assessment (HIA) model was developed to guide research to understand how changes in a fishery can impact fishermen and fishing communities. Path analysis demonstrates that job satisfaction is an important variable intervening between marine governance and well-being. Individual-level variables in the demographic latent variable influence aspects of job satisfaction as well as well-being. It is variance in management that influences satisfaction with fishing which has a direct effect on well-being. In the HIA model, the three components of job satisfaction (self-actualization, income, and psycho-social) have the greatest total impact on well-being. The model also indicates complex relationships between management, fishing activity attributes, job satisfaction, and individual and social attributes. Relationships between community context and differences in job satisfaction in the Northeast and Alaska regions confirmed that these factors, also included in the HIA model, are important aspects of impact assessment. Results help to show that changes in ocean governance have impacts on the human communities who use these important resources. To anticipate and ameliorate potential impacts on human well-being as indicated by tools such as the HIA model, research needs to be accomplished to appropriately design and account for these impacts.     

The social impacts of a stop-start transnational university campus: How the impact history and changing plans of projects affect local communities

Transnational higher education, in all its varied forms including offshore campuses, is a huge business, especially in relation to China. As at 2019, nine foreign universities had established campuses in China. Although generally this might be desirable, the social impacts of these campuses on local communities are overlooked. Transnational campuses take a long time to establish, and they experience delays and changes in participating parties, which creates anxiety and uncertainty for host communities. We consider the social impacts, as perceived or experienced by local residents, that arose from the attempted establishment of a transnational university campus in Yantai, Shandong Province, China. We consider how impact history and changing project plans affected residents. A major impact was prolonged uncertainty, especially now that the University of Groningen has cancelled its plans for a campus in Yantai. People felt confused about their future and some had lost trust in news about the project. Excessive expectations, impact history, changing plans, and impacts from urbanization processes generally have led to mixed feelings about the proposed campus. However, most people were willing to have a university campus nearby because they thought there would be benefits, even though they also considered they would experience negative impacts.