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A comparative analysis of energy use and CO_2 emissions in the manufacturing and service industries of Sweden

机译:瑞典制造业和服务业能源使用和CO_2排放的比较分析

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摘要

This study analyses the trends in energy use and CO_2 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 CO_2 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.
机译:这项研究分析了制造业和服务业中能源使用和CO_2排放的趋势。这项经验研究使用瑞典制造业和服务业的两位数汇总级别的数据,旨在使用数据包络分析(DEA)和面板数据技术来检查能源使用,能源效率和CO_2排放。 DEA用于评估生产框架内的能源效率。面板数据技术用于确定哪些变量影响能源效率。 DEA的结果表明,整个制造业和服务业的能源效率存在显着差异。这些部门的结果还表明,技术效率和能源效率提高了,而CO_2排放却减少了,尤其是在最近几年。面板数据技术的结果表明,增加能源税,电力消耗,投资和劳动生产率会产生更高的能源效率,而更高的化石燃料消耗会导致能源效率降低。这项研究的所有发现对于制定有效的能源政策,鼓励在工业部门中更好地利用和管理能源至关重要。

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