Integration of Carbon Efficiency into Corporate Decision-Making

Britta Engel (), Grit Walther () and Thomas S. Spengler ()
Additional contact information
Britta Engel: Technische Universitäat Braunschweig, Institut füur Produktion und Logistik
Grit Walther: Technische Universitäat Braunschweig, Institut füur Produktion und Logistik
Thomas S. Spengler: Technische Universitäat Braunschweig, Institut füur Produktion und Logistik

Chapter 8 in Operations Research Proceedings 2008, 2009, pp 47-52 from Springer

Abstract: Summary Concerning increasing carbon emissions and resulting climate change discussions, methods to assess corporate carbon emissions gain importance in research and practice. A transparent and integrated method for decision support to control ratios like eco-efficiency does not exist. Against this background, a concept for the implementation of carbon emission accounting indicators into decision-making processes has been developed, which consists of different aggregation levels and their connections. Within this contribution, a model for the level of internal planning is presented and applied to assess carbon reduction provisions of a dyeing company.

Keywords: Supply Chain; Carbon Emission; Ecological Aspect; High Emission Rate; Emission Reduction Cost (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-00142-0_8

Ordering information: This item can be ordered from
http://www.springer.com/9783642001420

DOI: 10.1007/978-3-642-00142-0_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().