The Textile and Clothing Industry plays a key role in the world’s economy. Over the last decades, increasing consumption and the emergence of ‘Fast Fashion’ made this sector one of the most harmful to the environment. The effects are felt over the entire life cycle of garments. This article focuses on the possible contribution of second-hand sales to reduce the negative environmental impacts in the context of a circular economy. By using the case study of Humana, a second-hand store, this article analyses the positive effects of clothing reuse on the environment, applying a mathematical model. From 2016 to 2020, Humana sold 1426 tons of garments in Portugal, saving 18,574,473 kg of CO₂eq emissions, 80,342,082 m³ of water consumption, and 121,941 MWh of energy consumption. However, results also show a low percentage of sales when compared to collected items. Improvement in second-hand clothing markets is necessary for Portugal, and policy promotion could be useful.

Energy generation has had several negative health impacts over the last few decades, mainly due to air pollution. One of the ways to decrease such impacts is to increase energy generation through renewable energy sources (RESs). These sources have important health co-benefits that need to be taken into consideration. This topic has been included in the literature, but research is scattered. The goal of this article is to show the status of the literature on this topic. We performed a systematic literature review on the health co-benefits of RES use, depicting the state of the art of this literature, some common findings, limitations, and lines for future research. It is clear from our analysis that this literature remains scarce. We found 28 studies fitting the inclusion criteria. Results can be summed as follows: (1) wind and solar power are the most studied RES sources; (2) most studies are for the United States and developing countries are largely understudied; and (3) health benefit results vary widely according to site-specific conditions. Overall, the existing studies show significant health co-benefits from RES use, which are important to consider when performing cost–benefit analysis for energy projects. This is particularly relevant for policy-makers and energy investors.

Insular regions face unique energy management challenges due to physical isolation. Graciosa (Azores) has high renewable energy sources (RES) potential, theoretically enabling a 100% green system. However, RES intermittency combined with the lack of energy storage solutions reduces renewable penetration and raises curtailment. This article studies the technical and economic feasibility of producing green hydrogen from curtailment energy in Graciosa through two distinct case studies. Case Study 1 targets maximum renewable penetration with green hydrogen serving as chemical storage, converted back to electricity via fuel cells during RES shortages. Case Study 2 focuses on maximum profitability, where produced gases are sold to monetize curtailment, without additional electricity production. Levelized Cost of Hydrogen (LCOH) values of €3.06/kgH₂ and €2.68/kgH₂, respectively, and Internal Rate of Return (IRR) values of 3.7% and 17.1% were obtained for Case Studies 1 and 2, with payback periods of 15.2 and 6.1 years. Hence, only Case Study 2 is economically viable, but it does not allow increasing the renewable share in the energy mix. Sensitivity analysis for Case Study 1 shows that overall efficiency and CAPEX are the main factors affecting viability, highlighting the need for technological advances and economies of scale, as well as the importance of public funding to promote projects like this.

The energy transition requires widespread electrification of the transport sector. To promote the penetration of electric vehicles (EVs), it is essential to understand consumers’ perceptions and behavior, particularly regarding the main determinants of EV purchase and the acceptance of electric mobility (EM). With this aim, we focused on an industrialized city in Portugal, addressing the differences between the effective ownership of an EV and the acceptability of EM and between the domestic sector (DS) and the business sector (BS) through questionnaires. Our results indicate that sociodemographic variables are the main determinants of the purchase of EVs and the acceptance of EM in the DS. Men and higher income individuals are more likely to own an EV. On the other hand, younger generations are more likely to have high EM acceptance. Individuals who already own an EV are the ones that have the desire and economic means to do so, regardless of any incentives. Still, widespread market penetration of EVs requires incentives for individuals who desire to own one of these vehicles but do not have the economic power to do so. Additionally, the DS and the BS behave differently; hence, specially designed policies are needed.

Qualitative data analysis has been increasingly important in the development of research, especially in the author’s main fields of investigation: Happiness Economics and Communication for the Development. To understand what Happiness means and in what form certain variables like gender, literacy, etc., influence the concept of happiness, based on a survey conducted in April 2018, we have analyzed the answers to the question "What is happiness for you? " using the software of Qualitative Analysis, Webqda. The great peculiarity is that it is an open question. It could be considered that the question is recurrent and the work redundant, but the results are very interesting from an analytical point of view. The 360º Happiness model main purpose is to support organizations in understanding the expectations of their workforce and help on defining their human resources management policies and adapt them according to the gender, generation or education level, for instance.