创新价值链下新能源汽车产业技术创新效率 ———基于两阶段 Super-DEA 与 Malmquist 指数模型
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浙江财经大学数据科学学院

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G203

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国家社会科学基金重点项目“碳排放统计核算体系构建及碳数据协同治理研究”(24ATJ004)


Research on technological innovation efficiency of new energy vehicle industry under innovation value chain: Based on Two-stage Super-DEA and Malmquist Index Modeling
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1.School of Data Science, Zhejiang University of Finance &2.Economics

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    摘要:

    发展新能源汽车产业是我国实施绿色发展的战略举措,作为技术密集型产业,创新才能促进其高质量发展。基于创新价值链视角将新能源汽车产业技术创新过程分为技术成果生产与转化两阶段,运用 Super-DEA 和Malmquist指数模型测算不同产权企业2016—2022年两阶段创新效率创新模式及动态变化趋势。研究表明:新能源汽车产业创新价值链两个阶段的创新效率均不高,绝大多数企业属于粗放型创新模式,但技术成果转化阶段创新效率显著优于生产阶段;不同产权性质及产业链不同环节的技术创新效率具有异质特征,非国有企业的技术生产效率高于国有企业,但成果转化效率则相对偏低,产业链各环节的技术生产效率差异更大;动态来看,生产阶段和转化阶段全要素生产率均呈现波动态势,创新价值链两阶段创新效率变化的促增动力分别为技术效率变化和技术进步。研究结论为新能源汽车产业高质量发展提供三重实践指引:揭示创新价值链不同阶段的技术创新效率及关键促增因素,指导企业优化技术创新资源配置;解析不同产权的新能源汽车企业创新效率差异,助力政府精准实施差异化激励政策;破解产业链技术创新薄弱环节,全面提升上下游企业创新韧性。

    Abstract:

    The development of the new energy vehicle (NEV) industry in China is a strategic endeavor towards green development. As a technology-intensive industry, innovation is pivotal for the NEV industry to advance its high-quality development. From the innovation value chain perspective, the technological innovation process of the NEV industry was divided into two distinct stages: technology achievement production and technology achievement transformation. By employing the Super-DEA and Malmquist index models, the two-stage innovation efficiency, innovation patterns, and dynamic trends of firms with varying ownership structures from 2016 to 2022 were quantified. The results show that, firstly, the innovation efficiency in both stages of the NEV industry is generally low, with the majority of firms adhering to an extensive innovation model. However, the efficiency in the technology achievement transformation stage significantly is better than that in the production stage. Secondly, there exists notable heterogeneity in technological innovation efficiency across firms with different ownership structures and within distinct segments of the industrial chain. Specifically, non-state-owned enterprises demonstrate higher technology production efficiency compared to state-owned enterprises, albeit with relatively lower technology transformation efficiency. Additionally, there are more pronounced disparities in technology production efficiency among various segments of the industrial chain. Lastly, from a dynamic perspective, total factor productivity (TFP) in both the production and transformation stages exhibits fluctuating trends, with technical efficiency change and technical change serving as the primary catalyst for TFP growth in different stages respectively. The research findings provide theoretical references and policy insights for enhancing the technological innovation efficiency and market competitiveness of the new energy vehicle industry and promoting the high-quality synergistic development of the new energy vehicle industry chain.

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周银香,高珊珊,王妍.创新价值链下新能源汽车产业技术创新效率 ———基于两阶段 Super-DEA 与 Malmquist 指数模型[J].技术经济,2025,44(10):116-127.

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  • 收稿日期:2024-03-28
  • 最后修改日期:2025-10-11
  • 录用日期:2024-09-03
  • 在线发布日期: 2025-10-29
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