Gauging energy poverty: A multidimensional approach

By Shinichiro Okushima. 2017

228 citations recorded by the source corpus.

This study presents a new approach to gauging energy or fuel poverty for developed countries. It develops a multidimensional energy poverty index (MEPI), which can evaluate energy poverty from a multidimensional angle. The MEPI is composed of three attributes (dimensions) of energy poverty, specifically for developed countries: energy costs, income, and energy efficiency of housing. The study applies this measure to gauge energy poverty in Japan after the 2000s, focusing on the years around the 2011 Great East Japan Earthquake (GEJE) and the Fukushima nuclear accident. Based on unique microdata, the results show that energy poverty has been aggravated in Japan since the 2000s. Mother-child and single-elderly households (vulnerable households) are in a serious situation and the elderly are at high levels of energy poverty. In addition, the results indicate the grave impact of energy price escalation after the Fukushima accident on energy poverty aggravation, especially for vulnerable households or the elderly.

Subfields: Energy Engineering and Power Technology, Nutrition and Dietetics, Pollution

View Paper: https://www.semanticscholar.org/paper/99f7261633ca89690f5630ab3e1f25d4f44719b1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Energy Engineering and Power Technology

1. Eneritz Onaindia
2. Benedikt Janzen
3. Katharina Drescher
4. Oihana Aristondo

In Nutrition and Dietetics

1. Eneritz Onaindia
2. Benedikt Janzen
3. Katharina Drescher
4. Oihana Aristondo

In Pollution

1. Eneritz Onaindia
2. Benedikt Janzen
3. Katharina Drescher
4. Oihana Aristondo

Citations in the corpus

• A multidimensional index to measure energy poverty: the Polish case (2020, unknown): “Finally, Okushima (2017) applied the Alkire – Foster method in a developed country (Japan), but based on income/expenditure data, without accounting for self-reported characteristics of energy poverty.”
• Energy poverty vulnerability index: A multidimensional tool to identify hotspots for local action (2019, unknown): “Alternative methodologies were applied to the so-called Global North (as e.g. Herrero and Bouzarovski, 2014; Maxim et al., 2016; Okushima, 2017; Llera-Sastresa et al., 2017), while others were tested to the Global South (e.g. Nussbaumer et al., 2012; Sadath and Acharya, 2017).”
• Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data (2021, background): “Although the literature has mostly focused on Europe, there are also country-level studies for other developed non-European countries like Japan (Okushima, 2016, 2017) or the US (Teller-Elsberg et al., 2016; Bednar & Reames, 2020).”
• European energy poverty metrics: Scales, prospects and limits (2020, unknown): “Indeed, energy poverty has activated scholarship across Europe but also beyond, in substantially contrasting countries like Japan [13], Australia [14], India [15], South Africa [16], Brazil [17] and Mexico [18].”
• Counting energy poverty in Spain between 2004 and 2015 (2018, background): “In the literature we can find many works that measure energy poverty following a multidimensional framework, see Nussbaumer et al. (2012), Sadath and Acharya (2017), Bouzarovski and Tirado (2015) and Okushima (2017).”