Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China

Research Article

Research on Influencing Factors of National Innovation Efficiency from The Perspective of Digital Trade Barriers

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328697,
        author={Xianyun  Wu and Na  Liu},
        title={Research on Influencing Factors of National Innovation Efficiency from The Perspective of Digital Trade Barriers},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={BDEIM},
        year={2023},
        month={6},
        keywords={digital barriers to trade; national innovation efficiency; three-stage dea-tobit model},
        doi={10.4108/eai.2-12-2022.2328697}
    }
    
  • Xianyun Wu
    Na Liu
    Year: 2023
    Research on Influencing Factors of National Innovation Efficiency from The Perspective of Digital Trade Barriers
    BDEIM
    EAI
    DOI: 10.4108/eai.2-12-2022.2328697
Xianyun Wu1, Na Liu1,*
  • 1: Dalian Polytechnic University
*Contact email: 402186778@qq.com

Abstract

The rapid development of digital trade is reshaping the current trade pattern, but at the same time, various forms of trade protection measures are constantly strengthening the re-strictions on digital trade. Therefore, this paper uses the three-stage DEA model to measure the innovation efficiency of 25 countries and uses TOBIT regression to analyze its influ-encing factors. The following conclusions are drawn: pure technical efficiency has a great impact on comprehensive technical efficiency; The impact of three environmental variables, namely intellectual property protection, government effectiveness and industry-university-research cooperation, on national innovation efficiency is different, and the national innova-tion efficiency is divided into three types: stable, developmental and improved. Digital trade barriers are further subdivided into two types, in which tariff barriers are significantly neg-atively correlated with innovation efficiency, and non-tariff barriers are significantly posi-tively correlated with innovation efficiency, which has a negative effect on innovation.