Ecosystem-based adaptation (EbA) includes a set of natural capital-based measures to adapt to climate change. UN Environment has called for measuring EbA costs and benefits before promoting the adoption of such a policy. Within such policy input, the paper objective is twofold. It first performs a critical survey of economic and valuation studies that measure the costs and benefits of undertaking EBA measures. It then proposes an integrated valuation approach, based on a set of 54 economic indicators that include ecological aspects and encompass the technical, financial and academic difficulties to perform thorough cost-benefit exercises, by providing policymakers with simple, though rigorous evidence.
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http://dx.doi.org/10.1016/j.heliyon.2020.e04650 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Harris School of Public Policy, University of Chicago, Chicago, IL 60637.
Justifying a proposed government regulation intended to reduce firearm violence requires a conceptually sound estimate of the monetized value of that impact and how that value is distributed across the population. Some previous estimates do not serve as a valid basis for policy evaluation or are out of date. A nationally representative survey was conducted by the AP-NORC Center for Public Affairs Research in August 2022 (n = 660).
View Article and Find Full Text PDFAppl Health Econ Health Policy
January 2025
Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Introduction: Genomic medicine has features that make it preference sensitive and amenable to model-based health economic evaluation. Preferences of patients, caregivers, and clinicians related to the uptake and delivery of genomic medicine technologies and services that are not captured in health state utility weights can affect the intervention's cost-effectiveness and budget impact. However, there is currently no established or agreed-on approach for integrating preference information into economic evaluations.
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Urban Architecture and Waterscape, Faculty of Architecture, Gdańsk University of Technology, Gdańsk, Poland.
Nature-based Solutions (NbS) have emerged as a sustainable approach to managing flood risks by enhancing natural water retention and reducing surface runoff in urban areas. As climate change and rapid urbanization exacerbate flood hazards, optimizing the spatial deployment of NbS is crucial for improving urban resilience and mitigating flood impacts. This study presents a comprehensive optimization framework for the spatial allocation of fourteen different NbS types aimed at mitigating urban flood risks in Gdańsk, Poland.
View Article and Find Full Text PDFSci Rep
January 2025
School of Economics, Yunnan University of Finance and Economics, Kunming, 650221, China.
With the acceleration of urbanization, unreasonable land use poses a serious threat to ecological security. However, there is still some space for improvement in the existing assessment of ecological risks (ERs) caused by land use/land cover change (LUCC). Therefore, this study takes the central Yunnan Province (CYP) as an example, and uses the Patch-Generating Land Use Simulation (PLUS) model and the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model to simulate the land use/land cover (LULC) in different scenarios in the future, calculate the ecosystem services (ESs) from 2000 to 2020 and the next 20 years, as well as ERs of various types of ESs caused by LUCC.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa City, Kanagawa Prefecture, 252-0882, Japan. Electronic address:
The adoption of residential renewable energy is pivotal for achieving the 'Net Zero' goal, yet financial assessments of household investments in this area remain complex due to dynamic market conditions. This study introduces a novel closed-form financial valuation framework for residential solar photovoltaic (PV) systems, explicitly addressing the uncertainties of electricity market price fluctuations (market risk) and energy policy changes (policy risk) using Geometric Brownian Motion (GBM). A case study in France demonstrates the framework's application, revealing that the discount rate is the most influential factor in solar PV valuation, followed by system lifespan and policy-driven Feed-in Tariff (FiT) rates.
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