Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Business Economics》 2018-05
Add to Favorite Get Latest Update

Measurement and Dynamic Driving Mechanism of Chinese Transportation Total Factor Carbon Emission Efficiency

ZHOU Yin-xiang;HONG Xing-jian;School of Statistics and Mathematics,Zhejiang Gongshang University;School of Data Sciences,Zhejiang University of Finance & Economics;  
Based on the perspective of total factor productivity and the unexpected output of carbon emissions,this paper measures transportation total factor carbon emission efficiency during 2003-2015 by applying DEA Super-SBM. And the internal driving and external shock effect of industry carbon emission is investigated to explore the influence factors and the dynamic conduction mechanism of transport carbon emission efficiency by IGVAR. Empirical conclusions show that the emission efficiency of the transportation industry is higher than that of mining,manufacturing and electric power,gas and hydraulic production and supply industry,but significantly lower than that of agriculture and construction. With regard to internal driving factors in transportation,economy size and technological progress have significant effects on carbon emission efficiency,and energy structure is not significant.From the perspective of effects between industries,economic size,energy structure,technical progress is obvious in manufacturing and construction,but very faint in other industries. The effect of industries technology progress is positive,and the effect of economic size and energy structure of construction are positive,and the effect of manufacturing is negative. In order to promote carbon emission efficiency,a mechanism of division of the responsibility among different industries should be established,with the policy of energy-saving and emission-reduction in transportation industry.
【Fund】: 国家社会科学基金规划项目“基于动态混合CGE模型的低碳交通政策效应仿真模拟研究”(15BTJ025);; 浙江省自然科学基金面上项目“基于动态混合CGE模型的低碳交通政策仿真模拟及优化研究”(LY15G030016);; 浙江省一流学科A类(浙江财经大学统计学)重点资助项目“行业碳排放效率的DEA-m SBM多维测度及动态驱动机理研究”(2016)
【CateGory Index】: F512;X322
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved