TY - JOUR
T1 - Analysis of energy use and CO 2 emission in service industries
T2 - Evidence from Sweden
AU - Pardo Martínez, Clara Inés
AU - Silveira, Semida
N1 - Funding Information:
The authors are grateful for the financial support provided by the Swedish Energy Agency and KTH for the development of this research. We also thank the support of the University of La Salle. The research has been developed independently.
Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012/9
Y1 - 2012/9
N2 - This study analyses the trends in energy use and CO 2 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 CO 2 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 CO 2 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 CO 2 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.
AB - This study analyses the trends in energy use and CO 2 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 CO 2 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 CO 2 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 CO 2 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.
UR - http://www.scopus.com/inward/record.url?scp=84863091684&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863091684&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2012.04.051
DO - 10.1016/j.rser.2012.04.051
M3 - Review article
AN - SCOPUS:84863091684
SN - 1364-0321
VL - 16
SP - 5285
EP - 5294
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
IS - 7
ER -
