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 language | English |
|---|---|
| Journal | Energy Proceedings |
| Volume | 20 |
| DOIs | |
| State | Published - 2021 |
| Event | 13th International Conference on Applied Energy, ICAE 2021 - Bangkok, Thailand Duration: 29 Nov 2021 → 2 Dec 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- compositional linear model
- energy mix
- energy resource endowment
- income group
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