Modelling Required Energy Consumption with Equivalence Scales

Yuxiang Ye, Steven F. Koch, and Jiangfeng Zhang

The Energy Journal, 2022, vol. Volume 43, issue Number 6

Abstract: Due to difficulties in accessing detailed energy modelling and usage data that are required to estimate energy needs that are responsive to local circumstances, we propose an equivalence scale approach to the determination of required energy consumption. Our method requires the estimation of energy equivalence scales that are used to rescale reference household energy consumption and, thus, yield household-specific energy requirements. We apply the method using readily available income and expenditure data, finding that estimated required energy is well above actual energy expenditure for low- and middle-income households, which is consistent with an expectation that basic energy needs for poor households may not be met. The proposed approach is general enough to incorporate other features that might be deemed relevant and available in other settings, and, therefore, can be used to examine the affordability component of SDG 7, undertake energy poverty analysis or design appropriate policies.

JEL-codes: F0 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.iaee.org/en/publications/ejarticle.aspx?id=3905 (text/html)
Access to full text is restricted to IAEE members and subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aen:journl:ej43-6-ye

Ordering information: This journal article can be ordered from
http://www.iaee.org/en/publications/ejsearch.aspx

Access Statistics for this article

More articles in The Energy Journal from International Association for Energy Economics Contact information at EDIRC.
Bibliographic data for series maintained by David Williams ().