How does smart transportation technology promote green total factor productivity? The case of China

IF 4.6 3区 工程技术 Q1 ECONOMICS Research in Transportation Economics Pub Date : 2023-09-08 DOI:10.1016/j.retrec.2023.101353
Congyu Zhao, Rongwen Jia, Kangyin Dong
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Abstract

Understanding the role of smart transportation technology in driving China along an efficient development path is crucial; nonetheless, scholars have paid little attention to the pathways toward green total factor productivity through smart transportation technology. Hence, this study aims to assess the level of smart transportation technology, and then investigate its impact on green total factor productivity using the instrumental variable-generalized method of moments (IV-GMM) model. Our main findings are as follows: (1) The primary finding provides solid evidence of the positive impact of smart transportation technology on green total factor productivity, which means smart transportation technology effectively and efficiently accelerates the green development process. (2) The asymmetric nexus between smart transportation technology and green total factor productivity indicates that smart transportation technology plays a more powerful role in areas with lower levels of green total factor productivity despite the fact that a positive relationship exists across all quantiles. (3) The increasing green total factor productivity effect caused by smart transportation technology development is realized through enhanced energy consumption efficiency and industrial structure transition. We propose some suggestions for improving green total factor productivity from the perspective of better smart transportation technology research and application.

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智能交通技术如何促进绿色全要素生产率?中国的情况
理解智能交通技术在推动中国走上高效发展道路方面的作用至关重要;然而,学者们很少关注通过智能交通技术实现绿色全要素生产率的途径。因此,本研究旨在评估智能交通技术的水平,然后使用工具变量广义矩量法(IV-GMM)模型研究其对绿色全要素生产率的影响。我们的主要发现如下:(1)初步发现为智能交通技术对绿色全要素生产率的积极影响提供了坚实的证据,这意味着智能交通技术有效、高效地加速了绿色发展进程。(2) 智能交通技术与绿色全要素生产率之间的不对称关系表明,尽管所有分位数都存在正相关关系,但智能交通技术在绿色全要素生产力水平较低的地区发挥着更强大的作用。(3) 智能交通技术发展带来的日益增长的绿色全要素生产率效应是通过提高能源消费效率和产业结构转型来实现的。我们从更好的智能交通技术研究和应用的角度提出了提高绿色全要素生产率的建议。
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来源期刊
CiteScore
8.40
自引率
2.60%
发文量
59
审稿时长
60 days
期刊介绍: Research in Transportation Economics is a journal devoted to the dissemination of high quality economics research in the field of transportation. The content covers a wide variety of topics relating to the economics aspects of transportation, government regulatory policies regarding transportation, and issues of concern to transportation industry planners. The unifying theme throughout the papers is the application of economic theory and/or applied economic methodologies to transportation questions.
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