匈牙利家庭能源需求的价格和收入弹性:能源危机背景下对能源政策的影响

Tekla Szép, Mohammad Kashour
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摘要

始于2021年下半年的能源危机,因俄乌战争而加剧,给欧盟成员国在制定能源政策方面带来了意想不到的困难。匈牙利是最脆弱的国家之一,由于对俄罗斯能源的严重依赖和对家庭能源价格的管制,其经济发展充满了严重的风险,大大减缓了向绿色能源的过渡。由于2013-2014年引入价格上限和2022年的部分调整,能源价格发生了急剧变化,这引起了人们对匈牙利能源需求状况的关注。本研究使用中点百分比法描述了2010年至2021年匈牙利家庭天然气和电力需求的绝对短期价格弹性,以及前者的天然气和电力交叉价格和收入弹性。结果表明,电力需求比天然气需求更具弹性,这意味着匈牙利家庭消费者对电价变化的反应比对天然气价格变化的反应更灵敏。此外,匈牙利低收入家庭对后两者的变化比高收入家庭更敏感,而收入和能源需求之间的关系没有确定一致的模式。因此,研究报告建议根据收入十分位数的能源负担执行一项多重关税定价战略。这尤其应该针对最易受能源价格变化影响、也最敏感的前10%人群。
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Price and Income Elasticities of Hungarian Household Energy Demand: Implications for Energy Policy in the Context of the Energy Crisis
The energy crisis that began in the second half of 2021, exacerbated by the Russian-Ukrainian war, created unexpected difficulty for European Union Member States in terms of shaping their energy policies. Hungary was one of the most vulnerable countries, whose economic development was fraught with severe risk due to the strong dependence on Russian energy sources and regulated energy prices for households, significantly slowing down the transition to green energy. The sharp change in energy prices due to the introduction of a price cap in 2013-2014 and the partial adjustment in 2022 draws attention to the situation of Hungarian energy demand. This study describes the absolute short-term price elasticities of Hungarian household natural gas and electricity demand and gas and electricity cross-price and income elasticities of the former for income deciles between 2010 and 2021 using the midpoint percentage method. The results show that electricity demand is more elastic than gas demand, implying that Hungarian household consumers are more responsive to changes in electricity prices than those of gas. In addition, low-income Hungarian households are more sensitive to changes in both of the latter than high-income households, while no consistent pattern is identified in the relationship between income and energy demand. Accordingly, the study recommends the implementation of a multi-tariff pricing strategy based on the energy burden of the income deciles. This should particularly target the first two deciles, which are the most vulnerable and sensitive to energy price changes.
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