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Completeness and Relevance of Scope 3 emissions categories across sectors.

open access: yes, 2023
This table summarises the analyses of completeness and relevance of Scope 3 emissions categories across sector as described in Section 4.2. For each category, completeness is measured based on the proportion of firms that choose to disclose each category
Nicholas A. Pittman (17396508)   +5 more
core   +1 more source

Enablers and inhibitors of efforts to reduce Scope 3 emissions – The case of an ODeL university

open access: yesThe Journal for Transdisciplinary Research in Southern Africa, 2022
Background: The reconfiguration of the South African higher education landscape in 2003 and 2004 had a significant impact on the University of South Africa (UNISA) and Technikon SA (both distance education institutions) which merged to form the ‘new ...
Thelma Louw
doaj   +1 more source

The Significance of Scope 3 GHG Emissions in Construction Projects in Korea: Using EIA and LCA

open access: yes, 2021
In Korea, a greenhouse gas (GHG) environmental impact assessment (EIA) has been conducting since 2012, which sets the evaluation procedures and methods for GHG items during the EIA.
Ik Kim, Kyeong-Tae Kim
core   +1 more source

Informing urban climate planning with high resolution data: the Hestia fossil fuel CO2 emissions for Baltimore, Maryland

open access: yesCarbon Balance and Management, 2020
Background Cities contribute more than 70% of global anthropogenic carbon dioxide (CO2) emissions and are leading the effort to reduce greenhouse gas (GHG) emissions through sustainable planning and development.
Geoffrey S. Roest   +3 more
doaj   +1 more source

Supply-chain data sharing for scope 3 emissions

open access: yesnpj Climate Action, 2023
AbstractThis paper deals with data sharing among firms along a supply chain for the calculation of Scope 3 emissions. Scope 3 emissions are indirect emissions produced along a firm’s supply chain. They represent the majority of most firms’ carbon footprint.
Aurel Stenzel, Israel Waichman
openaire   +1 more source

Accounting for beyond scope 3 GHG emissions [PDF]

open access: yes, 2019
The research focused on further widening the boundaries of carbon impacts accounting, going beyond Scope 3 emissions. While Scope 3 is meant to measure Supply chain impacts, companies may have indirect impacts on competitors on other market agents that ...
Dobák, Katalin, Csutora, Mária
core   +1 more source

Managing Greenhouse Gas Emission in Scope 3 [PDF]

open access: yes, 2023
While many real estate companies have been reporting and managing emissions in scope 1 and 2, scope 3 emissions remain underreported. The real estate industry accounts for 29 per cent of the total greenhouse gas (GHG) emissions in the European Union ...
Bergbom Olsson, Sofia, Bevegård, Emma
core   +1 more source

A comparative analysis of farm-level economic and greenhouse gas emissions performance: A case study of an alcoholic beverage company’s suppliers in Ireland

open access: yesEnvironmental Challenges
The climate and biodiversity crises have prompted most industries to adopt nature-positive actions that support ecosystem functioning and decarbonisation. This shift is prominent in the food and beverage (F&B) sector, particularly multinational alcoholic
Carel Johannes Kriek   +3 more
doaj   +1 more source

Scope 3 Emissions of 2,000 Companies and 19,000 Subsegments

open access: yes, 2023
Abstract Scope 3 emissions have emerged as a standard metric for evaluating corporate responsibility toward climate change. These emissions are associated with activities not directly controlled by a company but that occur within its value chain.
Xinmeng Li   +4 more
openaire   +1 more source

Invisible footprints, visible insights: machine learning reveals Scope 3 emissions

open access: yesFrontiers in Sustainability
IntroductionScope 3 greenhouse gas emissions are critical to firms’ carbon footprints yet are often difficult to quantify due to limited direct data, motivating predictive modeling approaches.MethodsWe developed and compared four machine learning ...
Szu-Yung Wang, Nian-Zu Ye
doaj   +1 more source

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