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The 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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Yinxiang Zhou, Shanshan Gao, Yan Wang
Journal of Technology Economics | 2025, 44(10) : 116 - 127
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Journal of Technology Economics | 2025, 44(10): 116-127
• Technology Economics Evaluation •
The 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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Yinxiang Zhou, Shanshan Gao, Yan Wang
Affiliations
  • School of Data Science, Zhejiang University of Finance & Economics, Hangzhou 310018, China
Published: 2025-10-25 doi: 10.12404/j.issn.1002-980X.J24032805
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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.

new energy vehicle enterprises  /  technological innovation efficiency  /  innovation value chain  /  two-stage super-DEA model  /  Malmquist index
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. 技术经济, 2025 , 44 (10) : 116 -127 . DOI: 10.12404/j.issn.1002-980X.J24032805
Yinxiang Zhou, Shanshan Gao, Yan Wang. The Technological Innovation Efficiency of New Energy Vehicle Industry under Innovation Value Chain: Based on Two-stage Super-DEA and Malmquist Index Modeling[J]. Journal of Technology Economics, 2025 , 44 (10) : 116 -127 . DOI: 10.12404/j.issn.1002-980X.J24032805
Year 2025 volume 44 Issue 10
39
10
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doi: 10.12404/j.issn.1002-980X.J24032805
  • Receive Date:2024-03-28
  • Online Date:2026-10-27
  • Published:2025-10-25
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  • Received:2024-03-28
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    School of Data Science, Zhejiang University of Finance & Economics, Hangzhou 310018, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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