Skip to main navigation Skip to search Skip to main content

Compositional Linear Model Clarifies Country-Level Energy Mix Drivers

  • Shaofang Xue
  • , Ying Fan*
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalConference articlepeer-review

Abstract

The energy mixes, which describe energy consumption structure by fuel type, are complex compositional data that cannot directly apply the multivariate statistical methods. Consequently, we apply a special compositional linear regression model to study how the country-level energy mix is influenced. The main findings of 45 countries by income group over 1990-2019 are: 1) The dependence of energy use on energy resource for each fuel type is confirmed in upper-middleincome countries. 2) Non-fossil use is driven by hydroelectricity resources and economic level in highcome and upper-middle-income countries, and by oil resources in lower-middle-income and low-income countries; 3) The energy transition as economy grows presents two typical patterns: high-income and uppermiddle-income countries shift to non-fossils and natural gas, while the lower-middle-income and low-income shift to coal and oil.

Original languageEnglish
JournalEnergy Proceedings
Volume20
DOIs
StatePublished - 2021
Event13th International Conference on Applied Energy, ICAE 2021 - Bangkok, Thailand
Duration: 29 Nov 20212 Dec 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • compositional linear model
  • energy mix
  • energy resource endowment
  • income group

Fingerprint

Dive into the research topics of 'Compositional Linear Model Clarifies Country-Level Energy Mix Drivers'. Together they form a unique fingerprint.

Cite this