4.7 Article

The technological innovation efficiency of China's lithium-ion battery listed enterprises: Evidence from a three-stage DEA model and micro-data

期刊

ENERGY
卷 246, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.123331

关键词

Innovation efficiency; Three-stage DEA; Lithium-ion battery enterprise; External environment factors; Enterprise management factors

资金

  1. National Natural Science Foundation [71874207, 71633006, 71573282, 71874210]
  2. Annual Innovation-driven Project in Central South University [2019CX016]
  3. project of High-end Think Tank of Central South University [2021znzk01]
  4. Key Project of Think Tank in Hunan Province [18ZWB19]
  5. Major Project of National Social Science Fund [18ZDA049, 18ZDA061]

向作者/读者索取更多资源

Large-scale clean energy deployment and electrification of energy consumption are important for China to address climate challenges and achieve carbon neutrality goals. The development of lithium-ion battery storage technology is crucial for enabling clean energy transition. This study evaluates the technological innovation efficiency (TIE) of China's lithium-ion battery listed enterprises (CLBLEs) and investigates the impact of external and internal factors on TIE. The findings suggest that CLBLEs face inefficiency issues in TIE due to diseconomies of scale. External factors like regional economic level and government subsidy promote TIE, while internal factors such as firm size, financial leverage, profitability, and employee quality significantly contribute to TIE improvement.
Large-scale clean energy deployment and energy consumption electrification are important measures for China to respond to severe climate challenges and achieve carbon neutrality goals, and the development of lithium-ion battery storage technology is essential to enable clean energy transition. Using three-stage DEA and Tobit model, this paper evaluated the real technological innovation efficiency (TIE) of China's lithium-ion battery listed enterprises (CLBLEs) during 2009e2018, and explored how external environment and enterprise management factors influence the TIE. The results demonstrate that there exist inefficiency problems of the TIE of CLBLEs due to the diseconomies of scale. The average TIE of CLBLEs is low, at 0.39. The stated-owned enterprises, large-scale enterprises, and downstream enterprises have the highest TIE, and mainly concentrated in eastern region. For external environmental factors, regional economic level and government subsidy promote TIE. While for internal enterprise management factors, firm size, financial leverage, profitability, and employee quality significantly promote TIE. Thus, for policy makers, strengthening the implementation of industrial support policies, enhancing industrial agglomeration, and promoting the sharing of innovative resources are conducive to improving the scale efficiency of CLBLEs. In addition, improving management capabilities and personnel composition is also an important direction to promote the TIE of CLBLEs.(c) 2022 Elsevier Ltd. All rights reserved.

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