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Research on Technological Innovation Efficiency of Tourist Equipment Manufacturing Enterprises

Author

Listed:
  • Yuanyuan Lin

    (School of Business Administration, Nanjing University of Finance & Economics, Nanjing 210023, China
    Postdoctoral Program, Southeast University, Nanjing 210000, China)

  • Nianqi Deng

    (Department of Management Science and Engineering, School of Management, Shanghai University, Shanghai 200444, China)

  • Hailian Gao

    (School of Management, University of South Australia, South Australia 5000, Australia)

Abstract

With the lack of quantitative literature related to the tourist equipment manufacturing industry, this study used the innovation input and output data from 12 listed tourist equipment manufacturing companies in 2011–2017 and employed data envelopment analysis (DEA)–Malmquist to analyze the change of technological innovation efficiency. The Malmquist index and its decompositions were used as dependent variables separately, and government ownership, cooperation with academics, and cooperation with international corporations as independent variables to construct a Tobit regression model. The results of static DEA show that the efficiencies of 12 tourist equipment manufacturing enterprises display a slight decline rule, and DEA–Malmquist analysis showed that the decline of technological innovation efficiency main derives from both the decline of technical efficiency and technical level. Moreover, other innovative subjects have different impacts on the technological innovation efficiency of China’s tourist equipment manufacturing enterprises. Thus, enterprises need to increase input of innovation and enhance the management level. In addition, they should manage the relationship between these innovative subjects and enhance the ability of collaborative innovation and independent innovation.

Suggested Citation

  • Yuanyuan Lin & Nianqi Deng & Hailian Gao, 2018. "Research on Technological Innovation Efficiency of Tourist Equipment Manufacturing Enterprises," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4826-:d:191357
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