摘要:At present motor transport is one of the key components of the formation of a long-term policy of sustainable economic development. Analysis of the structure of energy consumption in motor transport is necessary for better understanding of the factors that affect the increase in the share of renewable energy sources in transport and the effectiveness of specific support measures for the transition to vehicles with minimal or no greenhouse gas emissions. Models of pooled regression, regression with random and fixed effects were built in order to reveal the influence of the chosen factors on the share of renewable energy and electricity in the structure of energy consumption by vehicles. The results of evaluation for 31 European countries in the 2005-2017 showed that the criterion, which allows identifying groups of countries, is the volume of environmental transport taxes per vehicle unit. Countries with higher taxation volumes has such influencing factors as Corruption Perceptions Index, Energy productivity, Total environmental taxes per capita and Employment in high- and medium-high technology manufacturing sectors and knowledge-intensive service sectors. Consumption in countries with lower tax differentiation is influenced by index of research intensity, Corruption Perceptions Index and Shares of environmental and labour taxes.
其他摘要:At present motor transport is one of the key components of the formation of a long-term policy of sustainable economic development. Analysis of the structure of energy consumption in motor transport is necessary for better understanding of the factors that affect the increase in the share of renewable energy sources in transport and the effectiveness of specific support measures for the transition to vehicles with minimal or no greenhouse gas emissions. Models of pooled regression, regression with random and fixed effects were built in order to reveal the influence of the chosen factors on the share of renewable energy and electricity in the structure of energy consumption by vehicles. The results of evaluation for 31 European countries in the 2005-2017 showed that the criterion, which allows identifying groups of countries, is the volume of environmental transport taxes per vehicle unit. Countries with higher taxation volumes has such influencing factors as Corruption Perceptions Index, Energy productivity, Total environmental taxes per capita and Employment in high- and medium-high technology manufacturing sectors and knowledge-intensive service sectors. Consumption in countries with lower tax differentiation is influenced by index of research intensity, Corruption Perceptions Index and Shares of environmental and labour taxes.