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

机译:基于大规模数据的交通运输业环境效率与技术进步

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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".
机译:为了准确衡量技术变化和环境效率,并进一步提高“大数据”环境下道路运输行业的技术和环境效率,本研究提出了一种基于DEA的Hicks-Moorsteen指数模型,然后用于评估公路运输行业的绩效。实证研究得出的结论是:(a)东部,西部和中部地区的道路运输部门的生产率,技术进步和环境效率的所有因素均平均增加。 (b)在各种效率变化中,三个地区的公路运输部门的混合效率增长率最高。 (c)虽然西部和中部地区的技术进步表现优于东部地区,但环境效率变化的表现却优于西部和中部地区。本文认为,最优生产技术的分散利用应优于中西部地区技术创新的步伐,中国的道路运输业应对“供方改革”等政府政策的影响保持敏感。

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