M. Gnatyuk
2018 Bulletin of Taras Shevchenko National University of Kyiv Geography  
In this article, the relationship between energy consumption and GDP level has been analysed. The energy efficiency of European countries at present time based on the energy intensity of GDP and the quality of life index of the population has been explored. The efficiency level of the primary energy use through methods of system analysis and statistical calculations is determined. The relationship between the efficiency of the energy resources consumption by European states and the level of
more » ... r economic development has been established. The presence of a significant imbalance in the energy intensity of GDP between European countries, namely between the economy in transition countries and developed countries of Europe has a much higher level of GDP per capita is revealed. The reason for this is that developed states of Europe have a more developed energy infrastructure in comparison with the former Soviet states. The energy-intensive and relatively powerful industrial sector consumes only a quarter of the energy resources consumed by EU countries due to its energy efficiency. Post-Soviet countries, although they consume less energy per capita, spend much more energy for own production of goods and services due to outdated transport infrastructure, poor green and renewable energy sources developing and transport, which significantly exceeds carbon dioxide and carbon monoxide emissions to the environment, therefore needs more fuel compared to transportation of developed European countries. The consistent patterns of primary energy consumption and its use by European states are revealed. Trends of reducing energy use and energy efficiency in the European countries have been analysed and considered. Energy efficiency of European countries through the quality of life index of the population, which takes into account the purchasing power index, the subsistence minimum, environmental pollution, the climate component, housing prices relative to the income of the population, time spent in traffic jams is analysed.
doi:10.17721/1728-2721.2018.70.25 fatcat:bri2slxabvh6zfvgp7zc7ev3ji