01698008

Component

As an energy-intensive and high-emissions industry, the transportation industry accounts for a large proportion of total energy consumption. Through the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, this paper analyzed the inter-provincial panel data from 2006 to 2015 using the Eviews software. A regional regression analysis was conducted to investigate the driving factors of energy consumption in China's transportation industry. The results show that the gross domestic product (GDP) and energy intensity (EI) have the greatest impact on the transport energy consumption in the western region. In addition, the higher the level of urbanization, the lower the impact on the transport energy consumption is. The results also demonstrate that the influence of the improvement in the transportation structure on the transport energy consumption varies for different regions because of the differences in the technology investment and infrastructure construction. The government should fully consider the above-mentioned factors and the heterogeneity of each region to formulate the most effective policies.

This paper was sponsored by TRB committee ADC70 Standing Committee on Transportation Energy.

19-00437

English

8p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Energy consumption; Environmental impacts; Estimating; Gross domestic product; Regional transportation; Regression analysis; Transportation policy; Urbanization

China

Energy; Environment; Highways; Policy; Vehicles and Equipment

Transportation Research Board Annual Meeting 2019 Paper #19-00437

TRIS, TRB, ATRI

Dec 7 2018 9:44AM