地区因素对能源贫困的影响

IF 2.5 3区 经济学 Q2 ECONOMICS
Elisenda Jové‐Llopis, Elisa Trujillo-Baute
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引用次数: 0

摘要

目的在欧盟政策和措施的框架内,发展公正和公平的绿色能源过渡模式。本文旨在就文献中讨论较少的一个重要问题,即能源贫困的空间差异,提供有价值的见解。设计/方法/途径本实证分析调查了能源贫困的地区差异,我们从 2006-2022 年期间的西班牙家庭预算调查(HBS)中提取了 30 多万个西班牙家庭样本。为了描述一个家庭陷入能源贫困的概率,作者使用了离散选择单变量概率模型。研究结果结果证实,能源贫困现象在西班牙分布不对称,主要发生在人口不密集的地区。此外,研究结果还表明,能源贫困驱动因素的发生率在不同地区之间存在很大差异。研究局限性/启示本文最后向政策制定者提出了一些建议,认为各国需要为家庭制定能源贫困政策,既要正确识别弱势群体,又要根据每个地区的特点采取相应的措施。原创性/价值这项研究通过考虑较低综合水平的地区(即西班牙被称为自治区的 NUTS 2 地区)的情况,加强了之前的研究,并为那些最需要帮助的地区提供了量身定制政策的机会。此外,为了更真实地反映复杂的能源贫困现象,作者使用了 2006-2022 年期间的信息,并按经济微观周期进行了区分。这一时间跨度使作者能够了解经济危机时期的能源贫困动态,包括 2008 年危机和当前全球能源危机的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of regional factors on energy poverty
Purpose Within the framework of EU policies and measures to develop a just and fair green energy transition model. This paper aims to offer valuable insights into a paramount concern not so well debated in the literature, i.e. the spatial variation of energy poverty. Design/methodology/approach This empirical analysis investigates the regional variation of energy poverty we draw on a sample of more than 300,000 Spanish households, extracted from the Spanish Household Budget Survey (HBS) for the period 2006–2022. To characterize the probability of a household finding itself in a situation of energy poverty the authors use a discrete choice univariate probit model. Findings The results confirm that energy poverty is a phenomenon that is asymmetrically distributed across Spain, and mainly occurs in un-densely populated regions. In addition, the findings demonstrate that the incidence of energy poverty drivers is highly heterogeneous across regions. Research limitations/implications The paper ends with some recommendations for policymakers suggesting that countries need to design an energy poverty policy for the households that jointly pursue both a correct identification of vulnerable groups and a match with the type of measure to the characteristics of each region. Originality/value This study enhances previous research by considering the case of areas at a lower level of aggregation (i.e. on the NUTS two regions in Spain called autonomous communities) and offers the opportunity to tailor policies to those regions most in need. Furthermore, to provide a more realistic picture of the complex phenomenon of energy poverty, the authors use the information for the period 2006–2022 differentiating by economic micro-cycle. This timespan allows the authors to understand the dynamics of energy poverty in periods of economic crisis, including the effects of the 2008 crisis and the present global energy crisis.
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来源期刊
Applied Economic Analysis
Applied Economic Analysis Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
3.50
自引率
4.30%
发文量
5
审稿时长
8 weeks
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