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Corporate Carbon Accounting and Footprinting in the Ecologically Dominant Logic

- With an Excursion on the Detection of Outliers in a Double-Logarithmic Regression Model

Om Corporate Carbon Accounting and Footprinting in the Ecologically Dominant Logic

In order to reach sustainable supply chains, the Ecologically Dominant Logic calls for improvement in measurements. With regard to climate change, this is the task of corporate carbon accounting and footprinting. This book contributes to these topics by proposing a double-entry based bookkeeping approach for carbon accounting, that enables continuous reporting along the supply chain, supports both product and corporate carbon footprinting and is compliant with the established carbon accounting standards. Furthermore, for estimating missing carbon footprints, a regression-based estimation approach is proposed and tested, which needs only publicly available data as input and facilitates the estimation at a decent level of quality without knowledge about the internal processes of a company.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783631777923
  • Bindende:
  • Hardback
  • Sider:
  • 480
  • Utgitt:
  • 17. april 2019
  • Utgave:
  • Dimensjoner:
  • 210x148x0 mm.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 22. september 2025

Beskrivelse av Corporate Carbon Accounting and Footprinting in the Ecologically Dominant Logic

In order to reach sustainable supply chains, the Ecologically Dominant Logic calls for improvement in measurements. With regard to climate change, this is the task of corporate carbon accounting and footprinting. This book contributes to these topics by proposing a double-entry based bookkeeping approach for carbon accounting, that enables continuous reporting along the supply chain, supports both product and corporate carbon footprinting and is compliant with the established carbon accounting standards. Furthermore, for estimating missing carbon footprints, a regression-based estimation approach is proposed and tested, which needs only publicly available data as input and facilitates the estimation at a decent level of quality without knowledge about the internal processes of a company.

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