欧盟的能源贫困:利用地区气候条件和电价发生率绘制欧洲 214 个 NUTS2 地区的脆弱地区图

Andreoni Valeria
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引用次数: 0

摘要

不断加剧的政治不稳定和与之相关的能源价格变化最近扩大了现有的关于能源贫困的辩论。能源贫困一般被定义为无法负担足够的能源服务以过上舒适的生活,是一个影响生活多方面因素的严重问题。为了解决差距问题,实现 2030 年议程的第七个目标,欧盟成员国被要求在国家能源和气候计划中跟踪能源贫困问题。然而,由于缺乏共同采用的方法,很难对能源贫困风险进行比较。为弥补这一不足,本文首次提出了一种能源贫困脆弱性指标,可用于研究欧洲 NUTS2 地区之间的差异。通过结合地区收入、电价和当地气候条件的数据,所提出的方法使用阈值法绘制了 2010 年和 2020 年的脆弱性风险图。结果显示,在 2010 年,15% 的家庭属于最高脆弱性风险,到 2020 年,又有 40 个地区属于较高风险类别。地中海国家受气候和价格变化的影响最大。所提出的指标有助于制定旨在缩小地区差距和改善欧洲平均趋势的政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy poverty in EU: Using regional climatic conditions and incidence of electricity prices to map vulnerability areas across 214 NUTS2 European regions

The rising political instabilities and the associated variations in energy prices have recently amplified the existing debate on energy poverty. Generally defined as the inability to afford enough energy services to live a comfortable life, energy poverty represents a serious issue affecting multidimensional elements of life. To address disparities and to achieve the 7th goal of the 2030 Agenda, EU Member States have been requested to track energy poverty within the National Energy and Climate Plans. The lack of a commonly adopted methodological approach makes however difficult to compare the energy poverty risks. To address this gap, this paper proposes, for the first time, an energy poverty vulnerability indicator that can be used to investigate the differences across NUTS2 European regions. By combining data on regional income, electricity prices and local climatic conditions, the proposed methodology uses a threshold approach to maps vulnerability risks for the years 2010 and 2020. Results show that in 2010 15% of the considered households classified into the highest vulnerability risk and by 2020, 40 additional regions moved to a higher category of risk. Mediterranean countries have been the most affected with extensive climatic and price incidence changes. The proposed indicator can support the definition of policies aiming to reduce regional disparities and improve the average European trends.

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