
handle: 11693/53641
This thesis provides empirical evidence to emphasize the crucial role of cross-border electricity trade for decreasing the use of fossil fuels in power industries and attaining higher electricity supply from solar and wind energy sources. We collected data for 48 countries across three continents (the Americas, Europe and Asia) from 1991 to 2018 to create a world sample that would reflect the diversity of various energy mixes in different electricity markets. We showed the existence of long-term relationships between power production from natural gas, solar, wind and the level of cross-border electricity trade through panel unit root and panel cointegration tests. Later on, we conducted panel data analyses that utilize the fixed-effect approach with interactive variables. The empirical evidence reveals that when electricity production from solar and wind energy sources interacts with cross border electricity trade, power production from natural gas decreases statistically significantly. Furthermore, we created efficiency indices for solar and wind energy sources and provide evidence for the increased utilization of solar and wind electricity production in the presence of cross-border electricity trade.
Includes bibliographical references (leaves 44-46).
Cataloged from PDF version of article.
by Deniz Ege Boz
Electricity markets, Energy, 660, Economics, Renewable and non-renewable sources, Panel data analysis, Electricity trade, Ekonomi, Enerji
Electricity markets, Energy, 660, Economics, Renewable and non-renewable sources, Panel data analysis, Electricity trade, Ekonomi, Enerji
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
