Ecological footprint accounting: A multi-scale approach based on net primary productivity

The Ecological footprint accounting is a resource accounting tool that is used to track the sustainability of human systems. In this paper, we present a new approach to calculate the Ecological Footprint metrics at different geographic scales using Net Primary Productivity data. Our study focuses on the town of Afourar, Morocco, as a case study examined at three different scales; national, regional, and provincial scale. In contrast with other studies, our footprint accounting results are expressed in what we have called territorial hectares. The accounting results show that geographic scale has a significant influence on the footprint model, where three cases of sustainability were found. This implies that the efforts to maintain the sustainability of territories are more important at some scales than others. We argue that the relationship between sustainability and geographic scale is both strong and complex and that sustainability is a spatially relative concept. Therefore, we conclude that multi-scale analysis is crucial for making sustainable decisions and management policies.     

Environmental sustainability assessment in supply chain: An emerging economy context

Environmental sustainability is not being practiced in the supply chains of many industries. Previous studies on environmental sustainability have not outlined clear strategies to achieve sustainability across supply chains, particularly in the context of emerging economies, and have been of limited relevance in settings beyond the geographical region of their focus. To address these gaps, we have proposed a best worst method (BWM) as a framework to assess the environmental criteria for sustainability in select industries in Bangladesh. Different industrial activities or criteria affecting the environment in various ways were assessed and weighted using the BWM. To ensure the efficiency and accuracy of this framework, we sought the opinions of 34 experts to specify the most suitable indicators from our initial literature review. Findings from this study revealed that “waste management” was the most important indicator for establishing environmental sustainability in industries in Bangladesh, which was substantiated by a sensitivity analysis. This research will assist industry managers and entrepreneurs to work toward environmental sustainability across supply chains.     

Tools for integrating environmental objectives into policy and practice: What works where?

An abundance of approaches, strategies, and instruments – in short: tools – have been developed that intend to stimulate or facilitate the integration of a variety of environmental objectives into development planning, national or regional sectoral policies, international agreements, business strategies, etc. These tools include legally mandatory procedures, such as Environmental Impact Assessment and Strategic Environmental Assessment; more voluntary tools such as environmental indicators developed by scientists and planning tools; green budgeting, etc. A relatively underexplored question is what integration tool fits what particular purposes and contexts, in short: “what works where?”. This paper intends to contribute to answering this question, by first providing conceptual clarity about what integration entails, by suggesting and illustrating a classification of integration tools, and finally by summarising some of the lessons learned about how and why integration tools are (not) used and with what outcomes, particularly in terms of promoting the integration of environmental objectives.     

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.     

Using Compliance Analysis for PPP to bridge the gap between SEA and EIA: Lessons from the Turcot Interchange reconstruction in Montréal,Québec

There is increasing concern about the disjunct between the intent of higher level government goals and actual projects “on the ground” in Canada. Although strategic environmental assessment (SEA) and a wide variety of plans, policies and programmes (PPP) contain and promote goals that envision a movement towards social, economic and environmental sustainability, these goals are not necessarily upheld by large-scale projects and their environmental impact assessments (EIAs). This disconnect is often illustrated through anecdotal observations. However, to be able to overcome this disjunct it is imperative to come to a clearer understanding of the degree of sustainability or unsustainability of large-scale developments and the way in which they “measure up” in terms of the goals when compared to alternative options.This article proposes a Compliance Analysis method for investigating the level of harmonization between SEA, PPP and proposed projects and their possible alternatives (CAPPP). This method is quantified through a Likert scale which allows for comparison of alternatives for decision making and analytical purposes. The 2009 proposal for the Turcot Exchange redevelopment in Montréal, Québec, put forward by the Ministry of Transport of Québec (MTQ), as well as two alternative proposals, were utilized as a case study to clearly demonstrate the CAPPP methodology and its applicability.The approved plan for the Turcot redevelopment proposed by MTQ was found to be in poor compliance with the majority of the 178 goals in the six sectors that were examined (air quality, climate change, health, noise, socioeconomic, transport), while alternative proposals were found to be in greater accordance with the intentions of governmental SEA and PPP.Synthesis and applications: The CAPPP methodology is a versatile “watchdog” tool for the examination of the level of compliance between stated goals for regions, industrial sectors, or governments and the EIAs of concrete projects “on the ground”. CAPPP can be used as a tool for comparative analysis in decision-making situations at various scales. CAPPP is a fairly straight-forward method that can be used by policy makers, EIA experts, and members of the general public alike.     

Bibliometric analysis of global environmental assessment research in a 20-year period

Based on the samples of 113,468 publications on environmental assessment (EA) from the past 20 years, we used a bibliometric analysis to study the literature in terms of trends of growth, subject categories and journals, international collaboration, geographic distribution of publications, and scientific research issues. By applying thresholds to network centralities, a core group of countries can be distinguished as part of the international collaboration network. A frequently used keywords analysis found that the priority in assessment would gradually change from project environmental impact assessment (EIA) to strategic environmental assessment (SEA). Decision-theoretic approaches (i.e., environmental indicator selection, life cycle assessment, etc.), along with new technologies and methods (i.e., the geographic information system and modeling) have been widely applied in the EA research field over the past 20 years. Hot spots such as “biodiversity” and “climate change” have been emphasized in current EA research, a trend that will likely continue in the future. The h-index has been used to evaluate the research quality among countries all over the world, while the improvement of developing countries' EA systems is becoming a popular research topic. Our study reveals patterns in scientific outputs and academic collaborations and serves as an alternative and innovative way of revealing global research trends in the EA research field.     

Scientist–stakeholder collaboration in integrated assessment of climate change: lessons from a case study of Northwest Canada

Research on the climate change issue has generally focused on uncertainties in climate projections and calculation of mitigation costs. Most integrated assessment (IA) efforts have been directed at the mitigation component. The problem of climate change, however, is really about the potential effects on ecosystems, resources, and societies that depend on them. As illustrated by experiences from the Mackenzie Basin Impact Study, a case study from Northwest Canada, these effects will be unique to each region and country. Many of these will be indirect, including region specific thresholds, vulnerabilities and adaptations which may not be included in sectoral analyses. Science can define some of the “What if” aspects of climate change, but the regional “So what” and “What should be done” questions are largely unanswered and subject to intense debate in various political fora. IA needs to recognize the multiobjective and multistakeholder aspects of vulnerabilities, risks, and potential responses to climate change. IA could provide a more holistic analysis of the regional impacts dimension of climate change by including both modeling and non‐modeling approaches, and incorporating institutional and stakeholder issues that do not readily lend themselves to economic analyses.     

Carrying capacity for SDGs: A review of connotation evolution and practice

The integration of carrying capacity and sustainable development (sustainability) has prevailed since the end of the 20th century, but the connotation evolution and practice of carrying capacity for the United Nations Sustainable Development Goals (SDGs) have not been fully reviewed. Scientific measurement analysis and visualization are helpful to reflect the global picture of the connotation evolution and the practice in the field of carrying capacity for SDGs. This work retrieved the literature in the core collection database of Web of Science with topic words “carrying capacity and sustainable development” or “carrying capacity and sustainability” from 1985 to 2020. A set of 897 records were obtained as the data source. First, the evolution trend and mutation point detection, the theme mining and clustering, the citation chronology chart were visualized using the bibliometric analysis. Then, the focus of carrying capacity for SDGs and the main way to improve were summarized from the economic, environmental and social dimensions by researchers' intervention. This work examined the connotation and practice of carrying capacity for SDGs as thoroughly as possible, we attempted to supplement more meaning understanding, nuances, and critical thinking, and the current challenges and future prospects were summarized. It is expected that it will inspire new opportunities for academic research and practical applications, as well as enable policy managers to pay full attention to the potentially important value of carrying capacity in promoting the realization of SDGs.     

Slow-fast dynamics in Wonderland

Taking Wonderland—a simple model of demographic, economic and environmental interactions—as our artificial world, we illustrate the use of geometric singular perturbation theory in environmental demoeconomics. The theory of slow-fast dynamics helps us to gain new insights into the system's behaviour and enables one to reduce the inherent unpredictability of a “natural catastrophe” in Wonderland. Though we cannot predict the exact date of such an “environmental crash”, we can state the specific demographic, economic and environmental constellations of our artificial world at which the sustainability of nature becomes endangered.     

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.     

Optimisation of reduction of global CO2 emission based on a simple model of the carbon cycle

A simple model has been designed to describe the interaction of climate and biosphere. Carbon dioxide, understood as a major emitted gas, leads to a change of global climate. Economic interpretation of the model is based on the maximisation of the global CO₂ cumulative emissions. The two most important profiles of emission have been obtained: optimal and multi-exponential suboptimal profiles, each displaying different characteristics. This revised version was published online in July 2006 with corrections to the Cover Date.     

Integrated Assessment Modeling for Global Climate Change: An Infinite Horizon Optimization Viewpoint

In this paper one uses an infinite time horizon optimal control paradigm to deal with three important issues in global climate change integrated assessment, namely the equitable treatment of all the generations involved, the representation of technical progress, and the uncertainty concerning technological progress and climate change processes. The notion of economic sustainability is associated with the concept of turnpike in infinite horizon optimization models. The issue of deciding on the proper discount rate is addressed in this context and a method is proposed to reconcile long term sustainability and short term time preference for current generations. One also formulates a model where environmental damage and/or technical progress are represented as stochastic jump processes. One calls this random evolution a mode switching process. In this context, sustainability is represented by a family of turnpikes, and the economy will be driven from one steady state to the other as the modes switch. These concepts are illustrated on the DICE model and their possible implementation in other types of integrated assessment models is discussed.     

A clustering approach for classifying universities in a world sustainability ranking

Sustainability indicators are increasingly recognized as a useful tool to provide policy information in support of environmental, economic or social improvement. Various approaches to sustainability have also been adopted in universities through the introduction of specific rankings. International rankings are an important communication tool that allows the comparison of universities according to combinations of different appropriately weighed parameters. The GreenMetric World University Ranking is the only worldwide ranking of universities that compares environmental sustainability across various campuses. It uses indicators involving education, research and the environment to evaluate the measures undertaken by universities to develop ecological infrastructures and stimulate improvement. The aim of this work is to analyze the individual indicators and categories used in the GreenMetric ranking in detail to verify whether they are, in fact, useful in assessing the sustainability of universities. Through the implementation of the cluster analysis, based on a selection of identified variables, all campuses were classified in homogeneous groups. The results identify four levels of sustainability and show a strong relationship between the rankings of the different categories (setting and infrastructure, energy and climate change, transportation, waste and water conservation and recycling) and specific aspects for assessing institutional policies. These results are useful information to guide universities in the research of key issues on where to invest time and resources to improve the sustainability of their structures and, therefore, their attractiveness.     

The “START” framework to evaluate national progress in green buildings and its application in cases of Singapore and China

Current studies provide little knowledge for a holistic assessment of green building (GB) studies and practices. This study addresses the gap by developing a systematic and multidisciplinary framework called “START” that integrates five interactive dimensions of GB, including S-stakeholders, To-total building life cycle concerns, A-actions of government, R-relevant contexts, and Ta-targets to facilitate scholars and policymakers' analysis of GB development and progress. A comparative review of Singapore's and China's GB journey has been conducted to illustrate the application of the framework. Results indicate that both countries face common challenges of achieving economic sustainability of GB due to market failure and lack of non-technical support. However, Singapore has made better progress in environmental and social sustainability than China. Singapore's GB program inclusively covers the whole building life phases whereas China mainly emphasizes on planning/design phase. Collectively, effective governance, strict law enforcement, engaged stakeholders, matured economy and emerging technologies facilitate the GB implementing in Singapore. Additional efforts are required for China to cope with its complexity and heterogeneity regarding climate zones, hierarchy of authority, and disparity of economy and resources allocation in various regions. The framework helps facilitate policymakers to comprehensively assess GB progress and highlights the importance of incorporating non-technical drivers, such as social, psychological, political factors, into multi-disciplinary research of GB programs.     

The application of strategic environmental assessment in a non-mandatory context: Regional transport planning in New Zealand

There is no legal mandate for strategic environmental assessment (SEA) in New Zealand. However, a requirement to consider environmental and sustainability issues is a key feature of many statutes, including that relating to regional transport planning. Given this, the research sought to determine whether SEA could be used to improve the incorporation of environmental and sustainability aspects into the regional transport planning process in New Zealand. Existing practice was evaluated, examining what factors currently limiting the consideration of environmental and sustainability issues and to what extent elements of SEA are currently being used. The research culminated in the development of a conceptual model where SEA elements could be incorporated into the existing framework to promote improved consideration of environmental and sustainability issues. The results provide some reassurance about the value of SEA even where its application is not legally mandated. However, it also highlighted some ongoing issues around the integration of SEA in existing frameworks and around the scope of SEA as a decision-aiding tool.     

Environmental performance evaluation and strategy management using balanced scorecard

Recently, environmental protection and regulations such as WEEE, ELV, and RoHS are rapidly emerging as an important issue for business to consider. The trend of swinging from end-of-pipe control to product design, green innovation, and even the establishment of image or brand has affected corporations in almost every corner in the world, and enlarged to the all modern global production network. Corporations must take proactive environmental strategies to response the challenges. This study adopts balanced scorecard structure and aim at automobile industries to understand the relationships of internal and external, financial and non-financial, and outcome and driving factors. Further relying on these relationships to draw the “map of environment strategy” to probe and understand the feasibility of environmental performance evaluation and environmental strategy control.     

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.     

“Emission game”: some applications of the theory of games to the problem of CO2 emission

If there are no doubts that we must reduce the total emission of carbon dioxide, then the problem of how much different countries should be allowed to contribute to this amount remains a serious one. We suggest this problem to be considered as a non-antagonistic game (in Germeier's sense). A game of this kind is called an “emission game”. Suppose that there are n independent actors (countries or regions), each of them releasing a certain amount of CO₂ per year (in carbon units) into the atmosphere, and that the emission would be reduced by each actor. Each actor has his own aim: to minimise the loss in the Gross Domestic Product (GDP) caused by the reduction of emissions. On the other hand, taking into account that it is impossible to estimate more or less precisely the impact of the climate change on GDP for each country today, a common strategy will be to reduce the climate change. Since one of the main leading factors in global warming is the greenhouse effect, then the common aim will be to reduce the sum of emissions. This is a typical conflict situation. How to resolve it? We can weigh the “egoistic” and “altruistic” criteria for each actor introducing the so-called “coefficients of egoism”. This coefficient is very large, if the actor uses a very egoistic strategy, and conversely, if the actor is a “super-altruist”, then the corresponding coefficient is very small. Using these coefficients we get the general solution of the game in a form of some Pareto's equilibrium. The solution is stable and efficient.     

A mixed model-based Johnson's relative weights for eco-efficiency assessment: The case for global food consumption

Eco-efficiency composite indicators are widely accepted as the ratio of environmental impact to created economic value. These indicators are realistic measures for assessing sustainability performance considering the economy and environment. The weights reflect the importance of indicators to the aggregated environmental impacts. Estimating the relative weight of indicators is highly subjective, and therefore the search for a single unique weighting method has been going on for years. The regression-based weights are one of the most recent trends in sustainability modeling. Since these methods are designed initially to investigate the impact of multiple variables on a response variable rather than to estimate weights, some drawbacks are associated with their potential to provide proper weights. This paper presents a novel weighting approach integrating linear mixed-effect models with Johnson's relative weights to address these drawbacks and provide meaningful relative weights for eco-efficiency composite indicators. The proposed approach's operational and computational procedures are illustrated using a real example, and the eco-efficiency of food consumption of 38 countries is estimated for the period between 1990 and 2012 using a consumption-based sustainability accounting method. The findings have shown that energy use and GHG indicators are the most critical contributor to global food consumption's environmental impacts. The country-based eco-efficiency performance in this work has shown that China, India, and Russia are located in the low eco-efficiency score class. The Spatio-temporal analysis downgraded the geographical location's significance on the trends of eco-efficiency behavior in time and space. On the other hand, it revealed the different types of emerging hot spots over the world.