Change search
ReferencesLink to record
Permanent link

Direct link
Analysis of energy use and CO2 emission in service industries: Evidence from Sweden
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy and Climate Studies, ECS.
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy and Climate Studies, ECS.ORCID iD: 0000-0001-7123-1824
2012 (English)In: Renewable & sustainable energy reviews, ISSN 1364-0321, Vol. 16, no 7, 5285-5294 p.Article in journal (Refereed) Published
Abstract [en]

This study analyses the trends in energy use and CO2 emissions for 19 sub-sectors in the Swedish service sectors following the classification of the International Standard Industrial Classification of all Economic Activities (ISIC) at the 2-digit level of aggregation over the period 1993-2008. This empirical study intends to examine energy use, energy efficiency and CO2 emissions using data envelopment analysis (DEA) and panel data techniques. DEA is applied to assess energy efficiency within a production framework. Panel data techniques are used to determine which variables influence energy efficiency. The results show that Swedish services industries have increased energy consumption and CO2 emissions in the period 1993-2008. The results from the DEA show significant variation in energy efficiency across service industries. The results also indicate that this sector has increased technical efficiency and energy efficiency while decreasing CO2 emissions, especially in the later years of our sample period. The results of panel data techniques show that higher energy taxes, electricity consumption, investments and labour productivity generate higher energy efficiency, while higher fossil fuel consumption leads to lower energy efficiency. All findings of this study are important for developing effective energy policies that encourage better energy use and energy management in the service industries.

Place, publisher, year, edition, pages
2012. Vol. 16, no 7, 5285-5294 p.
Keyword [en]
Service industries, Energy efficiency, Data envelopment analysis, Panel data model
National Category
Energy Engineering
URN: urn:nbn:se:kth:diva-95348DOI: 10.1016/j.rser.2012.04.051ISI: 000307909800082ScopusID: 2-s2.0-84863091684OAI: diva2:527918

QC 20121114.

Available from: 2012-05-23 Created: 2012-05-23 Last updated: 2012-11-19Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Pardo Martinez, Clara InésSilveira, Semida
By organisation
Energy and Climate Studies, ECS
In the same journal
Renewable & sustainable energy reviews
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 205 hits
ReferencesLink to record
Permanent link

Direct link