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Analysis On The Factors Affecting Carbon Emissions Of Chinese Transportation Industry Based On Spatial Econometric Model

Posted on:2018-04-13Degree:MasterType:Thesis
Country:ChinaCandidate:R Y LiFull Text:PDF
GTID:2359330536484913Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
As the leading and basic industry of social development and national economy,the Transportation Industry consumes a large amount of fossil energy in the process of transportation and production.In the promotion of economic and social development,with the increase of transport volume,energy consumption and carbon emission scale also increased year by year.Transportation Industry has become the three largest source of carbon emissions,in the global transport carbon emissions accounted for The total amount of 1/4 and Transport Industry carbon reduction pressure is huge.In China,the economic development stage between different regions,the level of urbanization development,population distribution,industrial stages are different,so the carbon emission reduction policy design needs to be specific and different to the local characteristics of the implementation.Therefore,through the discussion of the spatial difference characteristics of carbon emissions in Chinese Transportation Industry,it is of great significance to identify the carbon emission factors and to promote the carbon emission reduction policies.Many scholars have done a lot of research on carbon emissions in Chinese Transportation Industry.However,there are relatively few literatures on the use of spatial measurement models to study the carbon influencing factors of Chinese Transportation Industry.Most of them are based on the time level and do not take into account the level of economic development between regions,Population distribution,wealth,industry stage and other factors between the differences.Based on the existing research,this paper analyzes the total emission,per capita emission,emission intensity and unit conversion turnover of CO2 emissions in Chinese Transportation Industry.Through the construction of the Spatial Econometric Model,we study the spatial factors such as population size,the degree of affluence and the level of traffic technology and the spatial interaction between CO2 emissions from transportation and transportation in China from the national level and the three regional levels respectively.The main conclusions of the paper are as follows:?1?The total CO2 emission from Chinese Transportation Industry from 2005 to 2014 and the per capita CO2 emission in Chinese Transportation Industry basically showed the samegrowth trend.CO2 emission intensity and unit conversion turnover of CO2 emissions showed a gradual decline in the trend.?2?There is a significant spatial self-correlation in Transportation Industry of China.The total population,urbanization rate,the level of transport development,transportation energy intensity of China's transportation industry have a positive effect on the level of carbon emissions.The impact of transport structure on carbon emissions in China's Transportation Industry is not obvious.The level of opening to the outside world has a negative effect on the carbon emissions of Chinese Transportation Industry.There is a positive correlation in Chinese eastern and western regions of the transport sector carbon emissions in the space,and there is a negative spatial correlation the central region.?3?Through the spatial analysis of the factors of carbon emissions in Chinese Transportation Industry,in order to promote the development of low carbon transportation,we can optimize the transportation structure,improve energy efficiency,reduce energy consumption,to create a comprehensive transportation system,establish complete intelligent "low carbon transport" incentive and restraint mechanism and improve the transportation industry energy-saving emission reduction and low carbon economy policy and law system.
Keywords/Search Tags:CO2 emissions, transportation, Spatial Econometric Model, influencing factors
PDF Full Text Request
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