This thesis evaluates the consulting firm WSP´s most significant direct and indirect emissions. This is done by developing a method for collecting and estimate the climate impact associated with a consulting firm´s operations. The aim of this thesis emerged as part of the Uppsala climate protocol, of which WSP has been a member since 2015. Each member has been assigned to adopt at least five of thirty climate challenges. One of the challenges that WSP has assumed is to identify the company’s most significant indirect emissions. The method is based on the guidelines of the well-established standard for calculating climate impact Greenhouse gas protocol. The results show that WSP's total climate impact for 2019 was 208 tones CO2 -eq, corresponding to approximately 1,59 tones CO2-eq per employee. Of these emissions, 76 percent where related to indirect emissions outside the company´s gate. The result shows that capital goods, energy use and business travel constitute WSP´s most significant emissions in 2019. The study shows that a consulting firm's largest emissions occur outside the business's gate in goods and services along the value chain, which demonstrates the importance of including indirect emissions when mapping a company's climate impact.The climate calculations only reflect WSP's emissions linked to the daily operations at the office. Supposedly, a consulting firm’s biggest emissions lies in the consulting assignments. However, there is currently no accepted method for calculating emissions for assignments or any standard for how emissions should be distributed among different actors. A review of previous research shows that there is a large knowledge gap when it comes to quantifying emissions from consultancy assignments. Thus, there is a need to develop methods for how to calculate emissions from assignments. A prerequisite for this is collaboration and increased transparency between different players in the value chain. Collaborations, such as the Uppsala climate protocol ,has an important role to play in initiating methods that could quantify emissions from assignment.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-415166 |
Date | January 2020 |
Creators | Fröberg, Malin |
Publisher | SLU Sveriges lantbruksuniversitet |
Source Sets | DiVA Archive at Upsalla University |
Language | Swedish |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Relation | UPTEC STS, 1650-8319 ; 20012 |
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