A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden

Resultado de la investigación: Contribución a RevistaArtículo

Resumen

This study analyses the trends in energy use and CO2 emissions in the manufacturing industry and service sector. Using data at the two-digit aggregation level for the Swedish manufacturing and service industries, 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 from the DEA reveal significant variations in energy efficiency across the manufacturing and service industries. The results for these sectors also indicate that technical efficiency and energy efficiency have increased while CO2 emissions have decreased, especially in recent years. The results of the panel data techniques demonstrate that increased energy taxes, electricity consumption, investments and labour productivity generate higher energy efficiency, while higher fossil fuel consumption leads to lower energy efficiency. All of the findings of this study are important for developing effective energy policies that encourage better energy use and management in the industrial sector. Copyright © 2013 Inderscience Enterprises Ltd.
Idioma originalEnglish (US)
Páginas (desde-hasta)97-116
Número de páginas20
PublicaciónInternational Journal of Applied Decision Sciences
DOI
EstadoPublished - oct 14 2013

Huella dactilar

Comparative analysis
Energy efficiency
Energy use
CO2 emissions
Service industries
Sweden
Manufacturing industries
Data envelopment analysis
Panel data
Industrial sector
Energy management
Energy tax
Service sector
Electricity consumption
Energy policy
Empirical study
Technical efficiency
Labour productivity
Fuel consumption
Fossil fuels

Citar esto

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title = "A comparative analysis of energy use and CO2 emissions in the manufacturing and service industries of Sweden",
abstract = "This study analyses the trends in energy use and CO2 emissions in the manufacturing industry and service sector. Using data at the two-digit aggregation level for the Swedish manufacturing and service industries, 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 from the DEA reveal significant variations in energy efficiency across the manufacturing and service industries. The results for these sectors also indicate that technical efficiency and energy efficiency have increased while CO2 emissions have decreased, especially in recent years. The results of the panel data techniques demonstrate that increased energy taxes, electricity consumption, investments and labour productivity generate higher energy efficiency, while higher fossil fuel consumption leads to lower energy efficiency. All of the findings of this study are important for developing effective energy policies that encourage better energy use and management in the industrial sector. Copyright {\circledC} 2013 Inderscience Enterprises Ltd.",
author = "Mart{\'i}nez, {Clara In{\'e}s Pardo}",
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AB - This study analyses the trends in energy use and CO2 emissions in the manufacturing industry and service sector. Using data at the two-digit aggregation level for the Swedish manufacturing and service industries, 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 from the DEA reveal significant variations in energy efficiency across the manufacturing and service industries. The results for these sectors also indicate that technical efficiency and energy efficiency have increased while CO2 emissions have decreased, especially in recent years. The results of the panel data techniques demonstrate that increased energy taxes, electricity consumption, investments and labour productivity generate higher energy efficiency, while higher fossil fuel consumption leads to lower energy efficiency. All of the findings of this study are important for developing effective energy policies that encourage better energy use and management in the industrial sector. Copyright © 2013 Inderscience Enterprises Ltd.

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