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Energy sustainability indicators are essential for evaluating and measuring energy systems' environmental, social, and economic impact. These indicators can be used to assess the sustainability of different energy sources, such as renewable or fossil fuels, as well as the performance of energy systems in various regions or countries. The goal of this paper is to propose a new energy sustainability index based on fuzzy logic for the Amazon region. The fuzzy inference system enabled the operationalization of subjective sustainability concepts, resulting in a final index that can evaluate the performance of the states in the Legal Amazon and compare them to each other. The results indicated that Mato Grosso had the highest ranking, followed by Tocantins, Amapá, Roraima, Rondônia, Pará, Acre, Maranhão, and Amazonas in the last position. These findings demonstrate that the selected indicators and the final index are effective tools for evaluating the energy sustainability of the Amazon region and can aid public managers in making decisions and proposing sustainable regional development policies for the region. [ABSTRACT FROM AUTHOR]

This paper describes the challenges that were encountered during the collection of Sustainable Development Goal (SDG) indicators for water (SDG 6), energy (SDG 7), and food (SDG 2) security in northern Canada. Our findings indicate only 49% of indicator data were publicly available, while 21% had to be calculated using alternative sources or methods, 18% had to be replaced with proxy indicators for which data were available, and 12% of indicators were deemed unavailable entirely. The most common types of data challenges were associated with completeness, timeliness, and granularity. Given the current challenges faced by residents of northern Canada, with their livelihoods closely intertwined with the accessibility and availability of water, energy and food (WEF) resources, a comprehensive plan for data collection, storage, and management of WEF-related SDGs is required to advance WEF security from an aspirational to a transformative policy agenda. [ABSTRACT FROM AUTHOR]

Whilst the economic costs and benefits of mega-events to host cities and countries are well documented, the evaluation and nature of the social impacts of such events are less clear. Although these social impacts typically include education and skills, destination branding, social cohesion, environmental sustainability and sport development, there is currently a lack of consensus on their measurement and focus upon both benefits and costs. In an evolved mega-event landscape which must align with political, social and cultural priorities, sports governing bodies, industry partners, residents and governments are increasingly concerned with qualitative impacts. Accordingly, through a systematic review of the existing literature, this paper assesses the current state of knowledge of the social costs and benefits of mega-events, including how they are identified, defined and measured, highlighting a need for further research to fully understand the social impacts of mega-events. To our knowledge, this is the first review to examine mega-event social impact evaluation, and we therefore provide a useful evidence-based guide to mega-event stakeholders in determining cases for host bids, event planning and related legacy evaluation. Our review culminates in a research agenda, providing practical guidance for future mega-event assessment. [ABSTRACT FROM AUTHOR]

The communication of corporate social responsibility (CSR) highlights the behavior of the business toward CSR and their framework of sustainable development (SD), thus helping policymakers understand the role businesses play with respect to the 2030 Agenda. Despite its importance, this is still a relatively underexamined and emerging topic. In our paper, we focus on what businesses communicate about CSR through social media and how this relates to the Sustainable Development Goals (SDGs). We identified the topics discussed on Twitter, their evolution over time, and the differences across sectors. We applied the structural topic model (STM) algorithm, which allowed us to estimate the model, including document-level metadata (time and sector). This model proved to be a powerful tool for topic detection and the estimation of the effects of time and sector on the discussion proportion of the topics. Indeed, we found that the topics were well identified overall, and the model allowed catching signals from the data. We derived CSR communication indexes directly from the topic model (TM) results and propose the use of dissimilarity and homogeneity indexes to describe the communication mix and highlight differences and identify clusters. [ABSTRACT FROM AUTHOR]

The paper aims at a diagnostic study on the prospects of sustainable rural development in the context of implementing the regional development strategy and sustainable rural development in the context of implementing the regional development strategy 2014-2020, by using a system of specific, quantifiable and representative indicators to allow, through econometric analyses, the evaluation of the results and the projection of the evolution of the sustainable development phenomenon. The approach of sustainable development and rural development in a strategic context had, mainly, a theoretical character, the analysis being oriented towards: the delimitation of the different conceptual aspects regarding: sustainable development strategies; addressing rural development through sustainable development; regulations on sustainable development at global, European and national level, etc. In this context, the paper aimed to identify how to approach sustainable development in regional development strategies with a case study, and socioeconomic assessment of the development of the Northeast Region, the development of strategies to promote sustainable agriculture at the producer level. and the individual peasant household to the level of agricultural societies. The information used in the analysis corresponds to the database of the European Commission's Farm Accounting Information Network (RICA) and the methodology includes the min-max approach and multivariate methods, in particular the analysis of the main component and the analysis of clusters. The analyses focus on highlighting the logic of strategic intervention by capturing priorities, strategic objectives, results and impact. The analysis allowed the identification of the interconnection of strategic objectives with the sustainable development objectives established at national level and the identification of result indicators related to the strategic objectives necessary to monitor the implementation of strategies, all against the different methodologies for achieving the two evaluated strategies. [ABSTRACT FROM AUTHOR]

Regime complexes have been discussed in international literature as an intervening variable which bring about policy coherence at national levels. There is a dearth of literature which examines aspects related to the link between global biodiversity regime, national policy coherence and sustainable development goals (SDGs) reporting. By taking the case study of India and using liberal institutional approaches and critical appraisal, this paper seeks to analyse the role of SDGs reporting for promoting coherence between the international biodiversity regime complex and country level planning. This paper will have implications for praxis on biodiversity and sustainable development policy as well as have implications for theory related to liberal institutional scholarship. This paper argues that while the normative scope of the global biodiversity regime has evolved to encompass principles such as scientific enquiry as well as sustainable development, national level reporting on biodiversity related SDGs have to still catch up to facilitate better policy coherence at all levels. Further the paper also calls for a greater science-policy interface to supplement SDG reporting framework towards better understanding of conservation and ecosystem services aspects of biodiversity in India. [ABSTRACT FROM AUTHOR]

• There is high consistency in the extent of land degradation. • There are consistent hydrothermal change characteristics in the land degradation hotspots area. Land degradation is a major impediment to achieving sustainable development. However, there is currently no harmonized global map of land degradation status and hotspots. This paper aims to obtain the status and hotspots map of global land degradation by multiple methods and indicators to give essential references for land degradation neutrality. The results show that there are significant differences in the distribution and degree of land degradation between the different methods and indicators. Validation through observation points reveals that most of the methods and indicators can reflect land degradation in arid and semi-arid areas, while there are suitable methods or indicators in tropical and high-latitude areas. The degree of degradation has a large difference after overlay analysis, which shows that there are shortcomings of different methods and indicators for monitoring the degree of land degradation. However, the overlay of land degradation extent displays a high consistency, reflecting the current state of global land degradation to a certain extent. These areas with high overlay value can be recognized as hotspots of land degradation. It is also found there are consistent water-energy change characteristics in the hotspot area, such as increased land surface temperature and air temperature and decreased soil moisture and precipitation. These results conclude that studies on the degree of land degradation need to be considered in an integrated manner about the regional background. The combination of multiple methods and indicators is recommended for land degradation extent studies in large areas. Comparison of different methods and indicators is important guidance for global land degradation research. Accelerating ecological monitoring and restoration of land degradation hotspots is the first step towards land degradation neutrality. [ABSTRACT FROM AUTHOR]

The 2018 European bioeconomy strategy sets a new vision for Europe's sustainable development: a transition to regenerative resource usage that embraces circular principles. Similarly, various member states have developed national bioeconomy strategies. To be effective, such strategies require methodologically sound monitoring tools that support the alignment of national and urban policies. Indeed, cities are central to the bioeconomy, mobilizing ever increasing amounts of biogenic materials. To better understand the suitability of national bioeconomy strategies for guiding urban circular bioeconomy transitions, this paper examines the composition, features, and topical coverage of national bioeconomy indicator sets with a threefold analysis: (1) assessment of the integration of circularity principles in the sets and their alignment with existing policy frameworks; (2) appraisal of quality and the fulfillment of the sets' functional purposes; (3) evaluation of the breadth and depth of tackled issues. Of the 27 EU member states, only nine have a dedicated bioeconomy strategy, of which four propose an indicator set. While there is a general lack of sophisticated monitoring, the tools proposed after the publication of the 2018 bioeconomy strategy (Germany and Italy) follow indicator development standards rigorously. They include circularity in their notion of bioeconomy and combine indicators for a comprehensive, substantial, informative and politically relevant analysis. These characteristics strongly improve the potential for alignment and coherence with urban-level bioeconomy monitoring efforts. Although national measuring tools are not intended to cover all urban needs, the findings of this paper give insight into their remaining gaps and highlight improvement pathways for an efficient EU-wide circular bioeconomy transition. [Display omitted] • Most EU national bioeconomy strategies lack sophisticated indicator sets. • National bioeconomy strategies should favor alignment with other policy levels. • Thoroughly developed indicator sets allow targeted answers to environmental change. • Recent strategies follow indicator development standards more rigorously. • Recent indicator sets enable monitoring of urban circular bioeconomy transitions. [ABSTRACT FROM AUTHOR]

Frugal innovation can help to foster sustainability and address global challenges, like building economic growth, addressing various social needs, and protecting the environment. However, if one wants to measure the sustainability impacts of frugal innovation or enable companies to make empirically informed decisions between frugal and alternative innovation, the question of how to assess these empirical impacts arises. The main objectives of this paper are the identification of approaches and indicators for assessing the sustainability impacts of frugal innovation and the analysis of empirical findings relating to prior assessments. To this end, a systematic literature review was conducted, which identified 15 texts, and a qualitative content analysis was employed to evaluate their contents. From these analyses two main approaches for assessment emerged. First, the assessment based on the triple bottom line or the dimensions of sustainability (ecological, social, and economic). Second, assessment against the Sustainability Development Goals. In the identified texts, the sustainability dimensions are preferred over the Sustainable Development Goals for assessing the sustainability impacts of frugal innovation. From the 15 identified texts, 13 use qualitative indicators and two quantitative (conceptual) indicators. To answer the research question of the paper, a set of 47 qualitative indicators relating to integrated dimensions of sustainability for the assessment of the sustainability impacts of frugal innovation is proposed. In addition, this paper presents new insights relating to the empirical evidence of sustainability impacts of frugal innovation. Approximately 60% of 334 empirical findings from 70 different cases related to the Sustainable Development Goals contribute to the five (socially and economically focused) SDGs 8, 3, 10, 12, and 9. After a transformation to the Triple Bottom Line, these findings contribute predominantly to the economic and social dimensions (in each case 45%), and only slightly to the ecological dimension (the remaining 10%). In turn, 164 empirical results from 77 different cases related to the Triple Bottom Line show an almost similar contribution to all three sustainability dimensions with a small lead of the economic dimension. Nonetheless, in the opinion of the author, these findings confirm other studies, that from an empirical perspective, frugal innovation can be described as inherently socially and economically sustainable and ecological sustainability is mostly not the primary focus. [ABSTRACT FROM AUTHOR]

Multidimensional crisis phenomena (financial–economic, environmental and social), plaguing the international community, especially in the last 30 years, have intensified resentment towards traditional models of growth and socio-economic development. The European Commission has placed the idea of a green economy (GE) at the heart of the Europe 2020 strategy. This paper presents an assessment of the implementation of the green economy assumptions in EU countries in 2018, taking 2010 as the base year. Using taxonomic methods, a synthetic evaluation index (GEI—Green Economy Index) was constructed based on a multi-criterion set of 27 indicators. This paper attempts to answer the following questions: How green are the European economies? What are the main challenges in this context? The average value of the index for the EU countries decreased in the studied years from 0.3423 to 0.3294, which can be interpreted as a slowdown in the greening processes. The key recommendations for the upcoming years include the improvement of energy efficiency indicators, the further increase in the share of renewable energy sources in the energy balance. Moreover, a significant problem continues to be the high percentage of the population at risk of poverty or social exclusion, as well as low CO2 and resource productivity rates. [ABSTRACT FROM AUTHOR]

• We reviewed the progress, indicators, and methods of agroecosystem services. • Agroecosystem services are closely related to agroecosystem functions and human agricultural practices. • Multi-source data fusion for integrated model will be the tendency for agroecosystem service assessment. • Agricultural landscape planning and governance can help to improve agroecosystem services and achieve sustainable development goals (SDGs). Agroecosystems benefit from many ecosystem services and are frequently managed to increase productivity. In recent years, agricultural industrialization has caused the loss of some important ecosystem services in agroecosystems, hindering some sustainable development goals (SDGs). In order to promote sustainable agricultural development, it is necessary to restore the damaged agroecosystems and improve agroecosystem services (AES). However, there are relatively few studies on AES, and fewer studies concerning the definition or connotation of AES. Therefore, this paper reviews current AES research, indicators, and assessment methods, as well as directions for future research. AES are determined by agroecosystem functions and human agricultural practices, with both positive and negative effects, scale effects, and trade-offs and synergies between AES. AES indicators can be classified as provisioning services, regulating services, and cultural services, with a few studies including supporting services. Currently, the main AES assessment methods include public participation, empirical model, mechanism model, and value estimation. Multi-source data fusion for integrated models to assess multiple AES will be the future research trend. In addition, AES research should develop additional promising topics, including considering both AES and agroecosystem disservices (AEDS); assessing AES supply, demand, and flow; and analyzing AES trade-offs and synergies comprehensively. This will extend the research field to the links between AES and SDGs and their applications in agricultural landscape planning and governance. This review highlights the importance of AES research to more effectively manage agroecosystems and promote sustainable agricultural development. [ABSTRACT FROM AUTHOR]