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Assessing carbon emission savings from corporate resource efficiency investments

An estimation indicator in theory and practice

Bibliographic Data

ID15112044
AuthorsJun Rentschler (0000-0003-0667-1975, Centre for Sustainable Energy, corresponding author), Florian Flachenecker (0000-0003-4739-3975, Centre for Sustainable Energy), Martin Kornejew (Christian-Albrechts-Universität zu Kiel)
Year2020
Volume22
Issue2
Pages835-861
Publication date2020-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment Development and Sustainability (JOURNAL)
Journal identifiersISSN: 1387-585X • E-ISSN: 1573-2975
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s10668-018-0222-z
OpenAlexW2883835946
LanguageEN
References cited19

The Nationally Determined Contributions pledged by numerous countries under the Paris Climate Agreement refer to efficiency gains as a key instrument for achieving carbon emission reductions. Indicators for estimating emission savings from resource efficiency projects can play a key role in identifying and prioritising projects. Building on existing emission factor-based approaches, this paper introduces a methodology which allows consistent ex - ante estimation of lifetime carbon savings from corporate resource efficiency investments. This methodology accounts for the intertemporal dimension of resource savings and project lifetimes and allows consistent aggregation across resource and project types. Moreover, it shows how social benefit (or cost) can be monetised. The methodology is tested using a resource efficiency investment project under the UN Clean Development Mechanism. We demonstrate that this indicator can be a robust, coherent and practical tool for firms, governments and investors to estimate carbon emission reductions from resource efficiency investments

Business · Economics · Environmental economics · Environmental resource management · Estimation · Industrial organization · Natural resource economics · Resource Efficiency · Climate Change Policy and Economics · Computer Science · Energy, Environment, Economic Growth · Environmental Impact and Sustainability

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Highly citedNo

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