Comparing religious environmental ethics to support efforts to achieve local and global sustainability: Empirical insights based on a theoretical framework

This paper develops a theoretical framework to assess the feasibility of environmental sustainability solutions, at local and global levels, based on the religious environmental ethics of several key religions: Hinduism (including Jainism), Buddhism (including Confucianism and Daoism), Judaism, Christianity (Catholicism, Eastern Orthodoxy, Protestantism), and Islam. Solutions are defined in terms of consumption (measured by GDP), environment use (measured by the ecological footprint), and welfare for representative individuals. Empirical insights for alternative religious environmental ethics focus on the relative importance attached to the consumption of goods (\u3b1) vs. involvement in a (local/global) community, and on the importance attached to the environment within the (local/global) community (\u3bc). In terms of feasibility for national environmental problems (i.e., pairs of \u3b1 and \u3bc achieving sustainability, in countries where the religion is a majority) and consistency (i.e., coherence with the religion's precepts) of policies for national environmental problems: Hinduism = Buddhism > Islam > Judaism. Christianity produced no feasible solutions. In terms of effectiveness for global environmental problems (i.e., pairs of \u3b1 and \u3bc achieving global sustainability, if inequalities among nations are reduced in the future) and replicability for local environmental problems (i.e., pairs of \u3b1 and \u3bc achieving sustainability in countries where the religion is a minority): Hinduism = Buddhism > Judaism > Islam

Sustainable business models and conflict indices for sustainable decision-making: An application to decommissioning versus reusing offshore gas platforms

This paper combines theoretical sustainable business models and conflict indices in making practical sustainable (i.e., participatory decisions involving economic, social, and environmental features within weak or strong sustainability paradigms) and rational (i.e., informed and consistent decisions within substantive or instrumental rationality) decisions with respect to what, who, where, when, and how to act. The case study, focused on an offshore gas platform, identified when (i.e., the end as opposed to the beginning of extraction activities) and where (i.e., the economic, social, and environmental contexts of the Adriatic Sea in Abruzzo region, Italy). A face-to-face questionnaire, submitted to stakeholders, produced the relative weights required by the tested sustainable business models (Lüdeke-Freund et al., 2018), and it reached a conclusion about how (i.e., in favor of the majority as opposed to average decisions). An application of a linear conflict index (Fasth et al., 2018) highlighted a lack of stakeholders' representativeness and knowledge and solved these issues with a 50% increase of stakeholders involved and an additional discussion with originally invited stakeholders on specific topics, respectively. In summary, the methodology suggested in this paper produced a (strong) sustainable and (substantive) rational decision about what and who based on relative weights expressed by representative and informed stakeholders being engaged at the smallest cost and with the largest support. Thus, the contribution of this paper is twofold: Theoretically, choices among alternative sustainable businesses depend on the adopted sustainability paradigm, and practically, choices among alternative sustainable businesses should be identified according to the adopted sustainability paradigm

A heterogeneous multi-criteria multi-expert decision-support system for scoring combinations of flood mitigation and recovery options

In this study, we developed an innovative operational decision-support system (DSS) based on flood data and mitigation or recovery options, that can be used by both naïve and expert users to score portfolios of flood mitigation or recovery measures. The DSS combines exposure (i.e., economic, social, or environmental values at risk) and resilience (i.e., protection of the main equilibrium functions of human and physical systems). Experts from different fields define indices and functions, stakeholders express their attitudes towards risk, relative weights, and risk perceptions, and both groups use a shared learning process for risk assessment. The DSS algorithms include the "technique for order performance by similarity to ideal solution" (TOPSIS) and the "basic linguistic term set" (BLTS) methods for heterogeneous multi-criteria multi-expert decision-making. Decisions are illustrated using fixed or bounded values of flood depth, duration, and frequency, with plausible parameter values, for a case study of Cesenatico. The best mitigation option was construction of sand dunes and development of evacuation plans, which achieved 32% of the potential net benefit. The best recovery option was construction of sand dunes and development of evacuation plans and insurance schemes, which achieved 42% of the potential net benefit. Mitigation options outperformed recovery options whenever the relative importance of exposure with respect to resilience was greater than 95%. Sensitivity analysis revealed that the best mitigation option was most robust with respect to flood duration and depth; the best recovery option was most robust with respect to the relative weights attached to economic, social, and environmental factors. Both options were similarly robust with respect to interdependencies between the options

Distribution of ermB, ermF, tet(W), and tet(M) resistance genes in the vaginal ecosystem of women during pregnancy and puerperium

The inhabitants of the vaginal ecosystem can harbor genetic determinants conferring antimicrobial resistance. However, detailed data about the distribution of resistance genes in the vaginal microbiome of pregnant women are still lacking. Therefore, we assessed the presence of macrolide (i.e., erm genes) and tetracycline (i.e., tet genes) resistance markers in the vaginal environment of Caucasian women at different gestational ages. Furthermore, the detection of resistance genes was related to the composition of the vaginal microbiota. A total of 228 vaginal samples, collected at different trimesters of pregnancy or during the puerperium, were tested for the presence of ermB, ermF, tet(W), and tet(M) by in-house end-point PCR assays. The composition of the vaginal microbiota was assessed through a microscopic evaluation (i.e., Nugent score) and by means of sequencing V3–V4 hypervariable regions of the bacterial 16 rRNA gene. Overall, the most detected resistance gene was tet(M) (76.7%), followed by ermB (55.2%). In 17% of women, mainly with a ‘normal’ vaginal microbiota, no resistance genes were found. Except for tet(W), a significant correlation between the positivity of resistance genes and a dysbiotic vaginal status (i.e., bacterial vaginosis (BV)) was noticed. Indeed, samples positive for at least one resistance determinant were characterized by a decrease in Lactobacillus spp. and an increase of BV-related genera (Prevotella, Gardnerella, Atopobium, Sneathia). A high predominance of vaginal Lactobacillus spp. (>85%) was associated with a lower risk of tet(W) gene detection, whereas the presence of Megasphaera (>1%) increased the risk of positivity for all analyzed genes. Different types of vaginal microbiota are associated with peculiar resistance profiles, being a lactobacilli-dominated ecosystem poor in or free of resistance genes. These data could open new perspectives for promoting maternal and neonatal health

Boosting Blue Growth in a Mild Sea: Analysis of the Synergies Produced by a Multi-Purpose Offshore Installation in the Northern Adriatic, Italy

In the near future, the oceans will be subjected to a massive development of marine infrastructures, including offshore wind, tidal and wave energy farms and constructions for marine aquaculture. The development of these facilities will unavoidably exert environmental pressures on marine ecosystems. It is therefore crucial that the economic costs, the use of marine space and the environmental impacts of these activities remain within acceptable limits. Moreover, the installation of arrays of wave energy devices is still far from being economically feasible due to many combined aspects, such as immature technologies for energy conversion, local energy storage and moorings. Therefore, multi-purpose solutions combining renewable energy from the sea (wind, wave, tide), aquaculture and transportation facilities can be considered as a challenging, yet advantageous, way to boost blue growth. This would be due to the sharing of the costs of installation and using the produced energy locally to feed the different functionalities and optimizing marine spatial planning. This paper focuses on the synergies that may be produced by a multi-purpose offshore installation in a relatively calm sea, i.e., the Northern Adriatic Sea, Italy, and specifically offshore Venice. It analyzes the combination of aquaculture, energy production from wind and waves, and energy storage or transfer. Alternative solutions are evaluated based on specific criteria, including the maturity of the technology, the environmental impact, the induced risks and the costs. Based on expert judgment, the alternatives are ranked and a preliminary layout of the selected multi-purpose installation for the case study is proposed, to further allow the exploitation of the synergies among different functionalities

Methodology for integrated socio-economic assessment of offshore platforms : towards facilitation of the implementation of the marine strategy framework directive

In this paper a Methodology for Integrated Socio-Economic Assessment (MISEA) of the viability and sustainability of different designs of Multi-Use Offshore Platforms (MUOPs) is presented. MUOPs are designed for multi-use of ocean space for energy extraction (wind power production and wave energy), aquaculture and transport maritime services. The developed methodology allows identification, valuation and assessment of: the potential range of impacts of a number of feasible designs of MUOP investments, and the likely responses of those impacted by the investment project. This methodology provides decision-makers with a valuable decision tool to assess whether a MUOP project increases the overall social welfare and hence should be undertaken, under alternative specifications regarding its design, the discount rate and the stream of net benefits, if a Cost-Benefit Analysis (CBA) is to be followed or sensitivity analysis of selected criteria in a Multi-Criteria Decision Analysis (MCDA) framework. Such a methodology is also crucial for facilitating of the implementation of the Marine Strategy Framework Directive (MSFD adopted in June 2008) that aims to achieve good environmental status of the EU's marine waters by 2020 and to protect the resource base upon which marine-related economic and social activities depend. According to the MSFD each member state must draw up a program of cost-effective measures, while prior to any new measure an impact assessment which contains a detailed cost-benefit analysis of the proposed measures is required