捷克共和国家庭生物燃料消费的社会经济方面

Jarmila Zimmermannová, Richard Šmilňák, Omar Ameir, Michaela Perunova
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摘要

欧盟能源系统的脱碳对于实现2030年气候目标和欧盟到2050年实现碳中和的长期战略至关重要。基于这些绿色协议的目标和欧洲目前的能源形势,关注生物燃料能源非常重要。我们的研究涉及捷克共和国家庭的行为和过去几十年他们消费习惯的变化。本文的主要目标是评估2010年至2020年期间,与捷克共和国化石固体燃料(煤和焦炭)的消费相比,家庭用于供暖目的的生物燃料消费的发展。第二个目标是评估选定的社会经济方面/变量对生物燃料消费的影响。关于生物燃料,分析将集中在用于供暖目的的生物质上,如木柴、木材废料、颗粒和压块。关于社会经济指标,分析将基于各种数据,如人均国内生产总值、平均工资、环境税收、环境补贴等。作者将使用捷克统计局、各部和其他国家当局公布的数据以及欧盟统计局的数据。作为一种方法,相关和回归分析将被使用。结果将显示选定的社会经济变量对家庭生物燃料消费发展的可能影响。将根据所取得的结果拟订建议。
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SOCIO-ECONOMIC ASPECTS OF BIOFUELS CONSUMPTION BY HOUSEHOLDS IN THE CZECH REPUBLIC
Decarbonising the EU-s energy system is crucial to reach the 2030 climate objectives and the EU-s long-term strategy of achieving carbon neutrality by 2050. Based on these Green Deal goals and the current energy situation in Europe, it is highly important to focus on biofuel energy sources. Our research deals with the behaviour of households in the Czech Republic and changes in their consumption habits in the last decades. The main goal of this paper is to evaluate the development of the consumption of biofuels by households for heating purposes, in comparison with the consumption of fossil solid fuels (coal and coke) in the Czech Republic in the period 2010 - 2020. The second goal is to evaluate the influence of selected socioeconomic aspects/variables on the consumption of biofuels. Regarding biofuels, the analysis will focus on biomass for heating purposes, such as firewood, wood waste, pellets, and briquettes. Concerning socio-economic indicators, the analysis will be based on various data, such as GDP per capita, average wage, environmental taxation, environmental subsidies, etc. The authors will work with data published by the Czech Statistical Office, ministries, and other national authorities, as well as data from Eurostat. As a methodology, correlation and regression analysis will be used. The results will show the possible influence of selected socio-economic variables on the development of biofuel consumption by households. The recommendations will be formulated based on the obtained results.
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