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Operating Efficiency Evaluation of China Listed Automotive Firms: 2012–2016

Author

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  • Huichen Jiang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Liyan Han

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Yongbin Ding

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Yifan He

    (International College, Zhengzhou University, Henan 450052, China)

Abstract

As one of the important pillar industries in China, the automotive industry (i.e., the traditional vehicle and the new energy vehicle (NEV) sub-industries) plays a significant role in the national economy and social development. In this paper, by using the fixed assets, intangible assets, the operating expenses, and the number of employee as inputs and the operating income as output, we conduct efficiency evaluations based on data envelopment analysis (DEA) and Malmquist models, and measure the efficiency of listed automotive firms with the panel data of 77 listed A-share firms spanning from 2012 to 2016, statically and dynamically. The results show that the five-year average Malmquist indices of all the listed firms slightly decreased due to the decline of the technical change and the improvement of the efficiency change. We subdivide the automotive industry into the traditional vehicle and NEV industries, and find that the NEV industry performed better than the traditional one. We combine the industry development and efficiency evaluation, and believe that the NEV will be a new driving force of the economy.

Suggested Citation

  • Huichen Jiang & Liyan Han & Yongbin Ding & Yifan He, 2018. "Operating Efficiency Evaluation of China Listed Automotive Firms: 2012–2016," Sustainability, MDPI, vol. 10(1), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:1:p:184-:d:126774
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    References listed on IDEAS

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    Cited by:

    1. Kovárník Richard & Staňková Michaela, 2023. "Assessing the Technical Efficiency of European Companies in the Automotive Sector," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 251-262, January.

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