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The concept of sustainable development (SD) is aimed at ensuring public well-being for the present and future generations. Hundreds of methods have been proposed for assessing and comparing the sustainable development of countries and analyzing their contribution to the future of the world. When applied to resource-based economies (RBEs), assessment tools do not take into account the value and impact of mineral resources on SD indicators. The purpose of the study is to reveal the limitations of applying some tools by taking into consideration the specific features of RBEs. Research methods include a correlation analysis between gross national income (GNI) per capita and aggregated indices (the Sustainable Society Index (SSI), the Human Development Index (HDI), and the Environmental Performance Index (EPI)), a comparative analysis of these indices and mining companies&rsquo, performance indicators. Object Eurasian RBEs were selected, but Norway was analyzed separately from the sample. The results of the study show that correlations between GNI per capita and SD indicators are heterogeneous. There is no statistically significant correlation between GNI per capita and SSI, a strong correlation with HDI, and a weak correlation with EPI. The EPI and SSI structures do not reflect the specific features of RBEs.

Sustainability is a multidisciplinary discipline posing a difficult problem as a result of its integrated assessment. From a broad perspective, it considers the impact of human activities (using different resources) and natural conditions on local environments. Urban development has been identified as one of the most important reasons for environmental and social degradation. To address the complexity of sustainability and its impact, policymakers need to be equipped with the right toolkit to foresee the integrated effect of projects and plans on urban sustainability more effectively in their policy design. In this paper, we propose a tool to assess the sustainable performance of urban areas through a common framework of indicators which provides an integrated measurement based on the relative efficiency of key input variables on desirable and undesirable outputs. Using Data Envelopment Analysis (DEA), we propose a procedure for determining the relative efficiency of relevant urban areas, proposing this method as a candidate for integrated sustainability measurement. The selection of variables is based on dimensions which can be addressed from a political perspective for achieving more desirable outputs, or reducing the undesirable ones, controlling for key resources as much as possible. Our analysis takes a comprehensive scope including an environmental and socioeconomic perspective. This will be useful to identify weaknesses and strengths to improve the integrated performance of cities. Our array of indicators, based on standardized key performance indicators (KPIs) will enable policymakers to gather an insightful impact of their proposals in urban sustainability carrying out a global sustainability impact assessment through DEA. The main goal is to gather the urban experience of transforming cities into smarter cities and putting technological progress at the service of their societies.

Unresilient and fragile regions need methods and data able to make policy-makers acknowledge the specific criticalities by which they are affected, so as to build effective development strategies and policies. This research explores whether and to what extent well-being and sustainability measurement frameworks are able to recognize crisis areas. We identified Taranto (Italy), declared as both a National Priority Contaminated Site and a Complex Industrial Crisis area, as a paradigmatic and extreme case of crisis areas and adopted the single case approach to address our research question. After reviewing several frameworks able to measure well-being at local level, we focused on Benessere Equo e Sostenibile dei Territori (Equitable and Sustainable Territorial Well-being, BESdT). We used two aggregate indexes to analyze data, namely the Adjusted Mazziotta-Pareto Index and the Adjusted Differences Mean Index. The study shows that, although BESdT does detect some criticalities of the examined area, it seems not able to adequately frame the multifaceted crisis that affects the area of Taranto. Even in presence of a full-blown crisis, the problematic situation does not always reflect into lower territorial performance, neither at the level of single indicators nor at the level of entire domains. Such discrepancy appears to be particularly evident within the economic domain. The paper ends with a discussion on the research and policy implications and some proposals for further research.

peer-reviewed Urban areas are increasingly associated with negative environmental impacts due to concentrated resource consumption; however urban areas also offer economies of scale in terms of service provision. There is no accepted mechanism to aid decision-makers in policy selection to determine where to promote population growth or how to select settlement specific policies to improve sustainability of urban areas. There is strong political desire for methods assessing policy implementation impact on overall sustainability targets, but this has proved challenging, as views on the meaning of sustainability vary, and methods developed satisfying scientists' needs for rigor are deemed too complex and inadequately transparent by decision-makers. Sustainability measurement is vital to check whether a new policy, decision or technical innovation is helpful in enhancing sustainability. By 2055 estimates indicate that 75 percent of the world population will live in urban areas, highlighting the importance of promoting low cost policy decisions providing greatest environmental benefit, with short implementation timescale. This paper describes an evidence-based method developed and piloted to address these drivers and provide a decision support system for planners and policy-makers developed for Irish settlements with population range 500-20,000, which may have application elsewhere. PUBLISHED peer-reviewed

As the global environment is getting more competitive, sustainability is increasingly becoming an important assessment tool. An exponential distribution stochastic model is developed for the purpose of assessing and measuring the sustainability of healthcare system. The aim of this study is to provide a sustainability measuring model that is driven by the actual distribution status of the sustainability indicators. In this paper, the notions of the &ldquo, Triple Bottom Line&rdquo, (TBL) are followed in deriving the sustainability challenge and capacity indicators for the environmental, social, and economic indicators. Since basic challenges and capacities depend on the modes of the organization, the study proposes an exponentially distributed stochastic model for measuring sustainability. A numerical illustration of Iranian healthcare is presented to demonstrate the efficiency of the proposed model. In the results obtained, sustainability index for environmental, economic, and social are 54.40%, 48.80%, and 66.80% respectively. It indicates the healthcare achieved some sustainability through the social aspect, therefore, improving the environmental and economic aspect of the TBL is necessary. The proposed model can be used as a panoramic tool for effective measurement of the sustainability level of any healthcare system.

This paper analyses sustainability perceptions in Romanian non-profits by investigating 81 non-profits managers and board members. Using a multidimensional sustainability measurement framework, Success Factor Analysis, as a conceptual model, we measured perceptions on 5 critical sustainability factors: People, Business Model, Operations, Strategy and Culture and concluded that there are significant differences in the perceptions of sustainability depending on respondents’ previous failure experiences. While those which previously experienced failure adopt a long-term approach based on marketization, clear accountability standards and rely on strategy, while the others prefer a short-term approach, focused more on non-profits operations and focus on human resources.

The purpose of this research was to identify the factors upon which museum sustainability depends and the way in which this can be measured. Methodologically, we applied a qualitative research approach, using semi-structured interviews with experts from the Romanian museum sector, complemented by an in-depth study of the literature in this field. Results indicated that any objective measuring of sustainability must take into account the size of a museum’s collections and its organizational structure. It was also found that museum type can affect sustainability via its competitive advantage. However, the sustainability of a museum is not strictly determined by these factors, but also by the management and marketing strategies applied. Based on analysis of literature- and respondent-based factors influencing sustainability, this article proposes a set of 33 indicators that can be used by museums to measure their sustainability, as well as a model that enables evaluation of the sustainability levels of various museums comparatively, regardless of their type, size or importance (e.g., national, regional and local). The results obtained are useful both from a theoretical point of view, given that there are few writings on this topic, and from a practical point of view, as they provide a basis for a clear, objective model of museum sustainability measurement.

Sustainable transportation plays a key role in social participation and climate change. However, no universally accepted set of criteria for tracking the progress of urban sustainable transportation projects currently exists; one reason for this is the absence of a standardized lexicon for sustainability measurement elements. Therefore, this paper conducts a systematic literature review and analysis of sustainable transportation criteria using 21 papers from journals listed in the German rating system JOURQUAL3 (JQ3) and published between 2010 and 2020. The paper thus develops a unified vocabulary for sustainability measurement elements that is structured into a hierarchy. The goal (sustainable transportation) presides over the following three sustainability dimensions: objectives (e.g., minimization of traffic clogging), criteria (e.g., congestion), and indicators (e.g., cost of traffic congestion). Within the hierarchy, the main criteria for urban multimodal sustainable transportation are identified as follows: 13 social, 11 economic, and 9 environmental main criteria are determined. The three main criteria used most in the literature exclusively concern the environment. Future research is recommended to assess the interrelations between the criteria as their assignment to sustainability dimensions is ambiguous in the existing literature. This paper helps mobility managers to make decisions about urban transportation concepts and while overseeing projects.