What moves and works: Broadening the consideration of energy poverty

By Benjamin Sovacool, Christopher Cooper, Morgan D. Bazilian, Katie Johnson, David R. Zoppo, Shannon Clarke, Jay Eidsness, M. Crafton, Thiyagarajan Velumail, H. Raza. 2012

146 citations recorded by the source corpus.

Greater detail on the specific technological and planning challenges facing energy-deprived developing economies is required to improve energy policy making and development assistance practice. The current literature tends to highlight electricity services, and, to a lesser extent, clean cooking. This article calls for a closer look at mobility and mechanical power as essential energy services in addition to a refinement of the specific institutional arrangements needed to reduce energy poverty and deprivation. This article augments and refines arguments made by Morgan Bazilian and his colleagues in their viewpoint “More Heat and Light”.

Subfields: Business and International Management, Energy Engineering and Power Technology, Pollution

View Paper: https://www.semanticscholar.org/paper/ba9a46b2fc96fb7526dd6cd221c61811f37335a4

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. Ashenafi Biru
2. L. Pan
3. Sandra Lettu

In Pollution

1. Ashenafi Biru
2. L. Pan
3. Ke Wang
4. Yaxin Wang
5. Sandra Lettu
6. Yi-Ming Wei
7. Kang Li

Citations in the corpus

• Energy poverty and public health: Global evidence (2021, background): “Energy poverty has been described as the absence of sufficient access to modern energy required to meet certain basic tasks such as cooking and lighting (Sovacool, 2012; Sovacool et al., 2012).”
• European energy poverty metrics: Scales, prospects and limits (2020, unknown): “[19,70], for instance through the translocal effects of performative practices [107].”
• Energy poverty in China: An index based comprehensive evaluation (2015, background): “[10] expanded the dimension of basic energy needs.”
• Who is energy poor? Evidence from the least developed regions in China (2020, methodology): “In regression (1), xi refers to a column vector of control variables for household i, including household size, labor force, education level and age of the head of the household, coal prices and agricultural land”