2022
DOI: 10.35551/pfq_2022_3_4
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Potential Model to Support the Achievement of Corporate Carbon Neutrality

Abstract: In our article, based on the methodology of internationally known sustainability models, we propose developing a novel, decision support and controlling system to motivate organizations to achieve net zero emissions. The evaluation system fits the GHG Protocol’s criteria, considers the emissions of all three Scopes, and provides the opportunity for benchmarking and stress testing. The model supports the management’s decisions visually, and it also offers regulators the opportunity to prepare and make industry … Show more

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Cited by 6 publications
(4 citation statements)
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“…Compared with the widely used GHG protocol model and Carbon Disclosure Project (CDP) model, which update the carbon emission dataset from specific sectors annually, as the participants only submit the relevant data once per year [6], the approach proposed in this study can support carbon emission assessment at a finer temporal scale (seasonal, monthly, and diurnal). Compared with many existing sustainability risk reduction models [6,67], performed at the industrial, sectoral, and corporate levels, the approach proposed in this study is more suitable to be adopted at finer spatial scales such as the building, neighborhood, or district levels, which is a good complement to the current GHG reduction and sustainability risk reduction literature.…”
Section: Discussionmentioning
confidence: 99%
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“…Compared with the widely used GHG protocol model and Carbon Disclosure Project (CDP) model, which update the carbon emission dataset from specific sectors annually, as the participants only submit the relevant data once per year [6], the approach proposed in this study can support carbon emission assessment at a finer temporal scale (seasonal, monthly, and diurnal). Compared with many existing sustainability risk reduction models [6,67], performed at the industrial, sectoral, and corporate levels, the approach proposed in this study is more suitable to be adopted at finer spatial scales such as the building, neighborhood, or district levels, which is a good complement to the current GHG reduction and sustainability risk reduction literature.…”
Section: Discussionmentioning
confidence: 99%
“…Building energy consumption is a significant contributor to GHG emissions and air pollution, accounting for 32% of China's energyrelated CO 2 emissions in 2020 [4,5]. Measuring the carbon impact of the buildings can be achieved through the widely applied GHG protocol model [6], which contains three scopes: direct emission during the building construction and demolish stage (scope 1), indirect emission during the building operation stage from energy consumption (scope 2), and energy consumed to transport the construction materials (scope 3). In 2019, 42.6% of building-related GHG emissions was contributed by building energy consumed during operations [7].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, numerous research studies have put forth models that can be used to decrease GHG (greenhouse gas) emissions. The initial step involves evaluating the present level of greenhouse gas (GHG) emissions, similar to established frameworks such as the Greenhouse Gas Protocol (GHG Protocol), Carbon Disclosure Project (CDP), or Partnership for Carbon Accounting Financials (PCAF) [36]. These models facilitate the process of assessing and evaluating greenhouse gas (GHG) emissions by providing a comprehensive comparison of emissions within organizations across various scopes.…”
mentioning
confidence: 99%
“…Therefore, these purpose-driven models (REVAM and CF) significantly contribute to enhancing environmental impact management, aiding established models [36,37]. By enhancing their ability to rapidly scan and analyze resource utilization and greenhouse gas emissions during the initial phase of business operations, these models can improve our understanding of resource impacts, identify key areas for operational enhancements, and pinpoint significant emission sources.…”
mentioning
confidence: 99%