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Fuel for poverty: A model for the relationship between income and fuel poverty. Evidence from Irish microdata

机译:贫困的燃料:收入与燃料贫困之间关系的模型。 来自爱尔兰Microdata的证据

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A new approach rooted in economic theory is proposed to analyse the relationship between fuel poverty and income poverty using self-reported data. The model shows that neglecting the overlap between income and fuel poverty underestimates the metrics for the change in income poverty due to increases in carbon taxes. The model is parametrized using econometric methods. Being a single adult with dependent children, having low education levels, low income levels and having darkness or dampness in the dwelling increases the probability of being fuel poor. The estimates show that an 1% increase in carbon taxes will raise the number of people experiencing fuel poverty by 0.5%. It is also shown that while increases in lump-sum transfers are progressive, increases in energy prices and energy required to heat a dwelling are regressive. Among poor households, fuel poor households have the lowest income levels, have issues with dampness, and it is less likely that they have double glazing in their dwellings compared to other income poor households. Income and fuel poverty are two distinctive problems that require different policy instruments. Policies need to address income and energy efficiency inequalities simultaneously to counteract the regressive effect of carbon taxes in Ireland.
机译:提出了一种植根于经济理论的新方法,以分析利用自我报告数据来分析燃料贫困与收入贫困之间的关系。该模型表明,忽视收入与燃料之间的重叠低估了由于碳税增加导致收入贫困变化的指标。使用计量计量方法参数化模型。作为一个具有受抚养子女的成年人,具有低的教育水平,低收入水平,并且在住宅中具有黑暗或湿度的抑制增加了燃料贫困的可能性。估计显示,碳税的增加1%将提高经历燃料贫困的人数0.5%。还表明,虽然速度转移的增加是渐进的,但加热住宅所需的能源价格和能量的增加是回归的。在贫困家庭中,燃料贫困家庭具有最低的收入水平,潮湿的问题,与其他收入贫困家庭相比,他们的住宅中有很可能在其住所中有不太可能。收入和燃料贫困是两个需要不同政策工具的独特问题。政策需要解决收入和能源效率不等式,同时抵消爱尔兰碳税的回归效果。

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