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Environmental efficiency and technological progress of transportation industry-based on large scale data

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  • Liu, Hongwei
  • Wu, Jie
  • Chu, Junfei

Abstract

In order to measure technological change and environmental efficiency precisely, and further to improve the technology and environmental efficiency of road transportation industry in “big data” context, a Hicks-Moorsteen Index model based on DEA is proposed in this study, and then is employed to assess the performance of road transportation industry. The empirical study concludes that: (a) all of the total factors productivity growth, technological progress and environmental efficiency of the road transportation sectors in the eastern, western and central regions all averagely increased. (b) The growth rates of mix efficiency of the road transportation sectors in the three regions were the highest among the various efficiency changes. (c) While the performances of technological progress in western and central region outperform that in eastern region, the performance of environmental efficiency change outperform those in western and central regions. This paper suggests the diffused utilization of optimal production technology should be superior to the pace of technological innovation in western and central regions, and road transportation industry in China should be sensitive to the influence of government policy such as “supply side reform”.

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  • Liu, Hongwei & Wu, Jie & Chu, Junfei, 2019. "Environmental efficiency and technological progress of transportation industry-based on large scale data," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 475-482.
    • Handle: RePEc:eee:tefoso:v:144:y:2019:i:c:p:475-482
    DOI: 10.1016/j.techfore.2018.02.005
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