The COVID-19 pandemic and climate change issues present evident interdependencies which justify the spread of connected beliefs. We examine possible changes in individuals’ pro-environmental behavior in light of this pandemic, using the Theory of Planned Behavior (TPB) framework. A questionnaire survey was submitted to the same sample of individuals, before and during the pandemic. Our evidence, based on Partial Least Squares Structural Equation Modeling (PLS-SEM), shows that the COVID-19 pandemic has not led to a weakening in TPB construct relationships, or in related Pro-Environmental Behavior (PEB). Conversely, through our Partial Least Squares-Multi-Group Analysis (PLS-MGA), we show that individuals with greater awareness of interdependencies between the COVID-19 and climate change exhibit both higher Intention and reinforced Pro-Environmental Behaviors. This finding reveals interesting policy implications in terms of innovative behavioral drivers that should be employed to steer public support towards climate-oriented initiatives.

In March 2020, the European Commission published the EU Taxonomy, a classification system of economic activities that can be considered environmentally sustainable. Motivated by this policy initiative, we propose a bibliometric analysis, based on the Web of Science database for the period January 1990–March 2020, regarding the extant scientific production related to the EU Taxonomy environmental objectives and macro-sectors. We find that a considerable number of scientific works—161,595 publications—have investigated Taxonomy-related areas, showing that the EU Taxonomy defined a working method, based on the cooperation among regulators, academics, and industry, representing a valuable example of evidence-based policy making. Furthermore, topic modelling analysis shows that extracted papers focused on improvements in production processes, innovation, and environmental performance. Thus, exploiting time and geographic patterns of the scientific publications, we perform a multivariate analysis to investigate its relationship with subsequent levels of pollution. Our evidence shows that, for the past, a higher level of EU Taxonomy-related publications is associated with a lower level of CO₂ emissions, supporting the view that scientific production has a societal impact in terms of environmental sustainability. Accordingly, now that EU Taxonomy-related topics have been incorporated into policy measures, further positive environmental effects are expected from here on out.

This paper explores households’ decision-making process to undertake green retrofitting investments, with the aim to identify the key behavioural drivers to adoption. We developed a discrete choice experiment survey and collected data from a sample of 434 individuals to explore the influence of monetary and non-monetary incentives on energy saving investment choices, focusing on the case of Italy, where a tax relief scheme (the so-called Superbonus) was introduced in 2020 to encourage green retrofitting investments. Our results show that the level of savings on energy bills, the environmental sustainability of the intervention and the comfort achieved all similarly contribute to adopt energy saving measures. Tax incentives, differently, were found to be less important drivers, except for those respondents who have a high level of green retrofitting cognition, suggesting a pivotal role of education and knowledge in driving choices. Our findings also indicate that communication matters: we show that green retrofitting decisions are influenced by the non-technical communication of the environmental benefits, while the use of technical expressions is found to be ineffective. These results are relevant to guide more efficient policy design and point to the need to combine targeted tax interventions with communication to encourage the uptake of energy saving measures.

Purpose: This study aims to conduct an empirical investigation to assess the hedge, diversifier and safe-haven properties of different environmental, social and governance (ESG) assets (i.e. green bonds and ESG equity index) vis-à-vis conventional investments (namely, equity index, gold and commodities). Design/methodology/approach: The authors examine the sample period 2007–2021 using the bivariate cross-quantilogram (CQG) analysis and a dynamic conditional correlation (DCC) multivariate generalized autoregressive conditional heteroskedasticity (GARCH) experiment with several extensions. Findings: The evidence shows that the analyzed ESG investments exhibit mainly diversifying features depending on the asset class taken as a reference, with some potential hedging/safe-haven qualities (for the green bond) in peculiar timespans. Therefore, the results suggest that investors might consider sustainable investing as a new measure of risk reduction, which has interesting implications for both portfolio allocation and policy design. Originality/value: To the best of the authors’ knowledge, this study is the first that empirically investigates at once the dependence between different ESG investments (i.e. equity and green bond) with different conventional investments such as gold, equity and commodity market indices over a large sample period (2007–2021). Well-suited methodologies like the bivariate CQG and the DCC multivariate GARCH are used to capture the spillover effect and the hedging/diversifying nature, even in temporary contexts. Finally, a global perspective is used.