English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper develops an empirical methodology to consistently compare alternative sustainability paradigms (weak sustainability (WS), strong sustainability (SS), a-growth (AG), and de-growth (DG)) and different assessment approaches (LCA, CBA, and MCA) within alternative relationship frameworks (economic general equilibrium (EGE) and ecosystem services (ESS)). The goal is to suggest different environmental interventions (e.g., projects vs. policies) for environmental management at national, regional, or local levels. The top-down methodology is then applied to 30 interdependent industries in Italy for three pollutants and four resources during two periods. The industries were prioritized in terms of interventions to be taken to diminish pollution damage and resource depletion, whereas sustainability paradigms were compared in terms of their likelihood (i.e., WS > AG = DG > SS), robustness (i.e., AG > SS > DG > WS), effectiveness (i.e., SS > AG > DG > WS), and feasibility (i.e., SS > DG > WS > AG). Proper assessment approaches for projects are finally identified for situations when policies are infeasible (e.g., LCA in WS and SS, MCA in DG and SS within ESS, CBA in WS, and AG within EGE), by suggesting MCA in WS within ESS once ecological services are linked to sustainability criteria

Four Sustainability Paradigms for Environmental Management: A Methodological Analysis and an Empirical Study Based on 30 Italian Industries