Gender issues, and gender equality in particular, can be regarded as cross-cutting issues in the implementation of the Sustainable Development Goals (SDGs), even though it is unclear how they are taken into account. This study addresses this information gap by performing an assessment of the emphasis on gender issues across all the other 16 SDGs, in addition to SDG5, through a literature review and case study analysis, the basis for the newly developed framework, highlighting specific actions associated to each SDG. The 13 countries addressed in the 16 case studies include China, India, or Australia and illustrate the inclusion of SDG5 into the SDGs. Using an SDG matrix, the SDG targets are analysed. Those where an emphasis on gender equality is important in allowing them to be achieved are listed. The novelty of our approach resides in offering an in-depth analysis of how gender issues interact with the other SDGs, proposing a new analysis framework clearly identifying SDGs 1, 4, 11, 12, 14 and 16 demanding further attention for successful SD gender implementation and illustrating specific areas where further actions may be necessary, which may be used by policy-makers, raising further awareness on gender equality contribution to achieve the SDGs. A set of recommendations aimed at placing gender matters more centrally in the SDGs delivery are presented as a final contribution. These focus on the need for greater awareness and attention to good practices, to achieve successful implementation initiatives.

The goal of the paper is to examine the relation between finance and sustainability, with a special emphasis on the impact of negative externalities. Sustainable development as a concept aims to mitigate negative externalities. Conventional finance offers no room for the environment and society. Therefore, three-dimensional sustainable finance has appeared. This paper is the first original attempt to examine the relationship between: financial, economic, environmental and social development indicators from the sustainability perspective, with a special focus on externalities. To study the disparities between the European Union (EU) countries belonging to the OECD in the field of sustainable development and sustainable finance, the multi-criteria taxonomy was used. The basis of the analyses was the indicators transformed according to the relative taxonomy method. The database, based on Eurostat, contains indicators describing pillars of sustainable development such as: economic (12 indicators), social (28), environmental (7) and sustainable finance (16). The study analyses the sample of 23 countries in 2007, 2013 and 2016. The results confirm a positive relationship among the analysed indicators. On the basis of 62 statistical features selected according to the statistical methods, 7 groups of countries were obtained in 2007 and 2013 and 8 groups in 2016. In the case of Scandinavian countries, one can observe a permanent separation of economic growth from its negative impact on the natural environment. Such dependencies are no longer so obvious in the case of other EU countries belonging to the Organization for Economic Cooperation and Development (OECD). Therefore, attention should be paid to the most economically developed countries in Western Europe, i.e., Belgium, Germany, Luxembourg, the Netherlands and the United Kingdom, whose high rankings in the case of economic, social and very often also financial results correspond to much worse results in the case of environmental development.

Food loss (FL) and food waste (FW) have become severe global problems, contributing to resource inefficiency and environmental degradation. Approximately 6% of greenhouse gas emissions (GHGs) are derived from FW, which is usually discarded in landfills, emitting methane, a gas that is 28 times more harmful than CO₂. Diverting the path of FW towards the energy industry represents a promising avenue to mitigate the environmental impact and save resources while generating energy substitutes. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach was utilized to conduct a systematic literature review on 10 different conversion processes used to convert FL and FW into energy. Anaerobic bioconversion integrated with pyrolysis emerges as a potential eco-friendly and promising solution for FW management, nutrient recovery and energy production in various forms, including biogas, heat, biohydrogen and biochar. Despite its potential, the anaerobic digestion of FW still faces some challenges related to the production of intermediate harmful compounds (VOCs, NH₃, H₂S), which necessitate precise process control and optimization. Nonetheless, converting FW into energy can provide economic and environmental benefits in the context of the circular economy. This review offers insightful information to stakeholders, academics and policymakers who are interested in utilizing FW as a means of producing sustainable energy by summarizing the important findings of ten different waste-to-energy processing methods and their potential for improved energy recovery efficiency.

In any competitive economy, the risk of bankruptcy is pervasive. The research aims to contribute in improving the predictive power of bankruptcy and insolvency risk among companies by introducing new methods of processing and validation. This paper investigates the extensive application of the Z score model for predicting the economic-financial stability of Romanian companies in the manufacturing and extractive industries. A list of 37 financial indicators determined on the basis of the balance sheet data of 80 companies for the period 2015–2018 was used. Stepwise Least Squares Estimation through the Forward method allowed the identification of the most relevant ones. Canonical discriminant analysis and sensitivity analyzes were introduced to test the predictive power of the model. The new model identified allows both the prediction of bankruptcy and insolvency risk. This study contributes to the literature by testing variables in relation to financial difficulties and by including other classification information. The robustness of the determined canonical discriminant function was verified by testing the model on two other samples.

Sustainability is a complex concept. It only can be achieved from a global perspective, where social, economic and environmental issues are all key factors for achieving the goal. This paper is focused on the importance of social sustainability and, as a consequence, the importance of avoiding each and everyone’s risk of poverty and exclusion as due to the recent crisis effects. Nevertheless, this crisis resulted in higher inequalities and put a lot of people at risk of poverty, even in “developed” countries. Through a statistical and econometric analysis, some of the key factors to which the European Union should aim to avoid unsustainable scenarios are analysed. A regression, factorial and cluster analysis is carried out and this leads to conclude that the labour market is key in promoting economic policies in order to achieve social sustainability.

Given the global importance of bioeconomy for sustainable development and its trendiness in the knowledge driven literature, our research aims to develop a general assessment framework for several shaping factors of bioeconomy fundamentals within the European Union under the decisive impact of the intellectual capital credentials, namely educational attainment, research and development activities and innovation patterns. Considering that there is a high heterogeneity among Member States (MS), selectively regarding the implementation of the intellectual capital in the knowledge economy, but also a differential degree of bioeconomy advances, we have compiled distinct panels on the two groups of EU-28 MS, namely EU-15 (old MS) and EU-13 (new MS). The purpose is to examine the inferences of the intellectual capital in the context of economic development and to shape its role in achieving a sustainable bioeconomy. We have applied several macro-econometric procedures for each considered group, namely: multifactorial macro-econometric models, structural equation modelling (SEM) and Gaussian Graphical Models (GGM), for the period 1995-2016. The results highlight that education, innovation and research, along with main bioeconomy credentials, are at the core of economic development of both EU-13 and EU-15 countries, having distinctive dissimilarities between them, particularly enhanced for the new EU-13 MS.