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Author:

Bai, Shizhen (Bai, Shizhen.) | Bi, Xinrui (Bi, Xinrui.) | Han, Chunjia (Han, Chunjia.) | Zhou, Qijun (Zhou, Qijun.) | Shang, Wen-Long (Shang, Wen-Long.) | Yang, Mu (Yang, Mu.) | Wang, Lin (Wang, Lin.) | Ieromonachou, Petros (Ieromonachou, Petros.) | He, Hao (He, Hao.)

Indexed by:

Scopus

Abstract:

Promoting the growth of the lithium battery sector has been a critical aspect of China's energy policy in terms of achieving carbon neutrality. However, despite significant support on research and development (R&D) investments that have resulted in increasing size, the sector seems to be falling behind in technological areas. To guide future policies and understand proper ways of promoting R&D efficiency, we looked into the lithium battery industry of China. Specifically, data envelopment analysis (DEA) was used as the primary approach based on evidence from 22 listed lithium battery enterprises. The performance of the five leading players was compared with that of the industry as a whole. Results revealed little indication of a meaningful improvement in R&D efficiency throughout our sample from 2010 to 2019. However, during this period, a significant increase in R&D expenditure was witnessed. This finding was supported, as the results showed that the average technical efficiency of the 22 enterprises was 0.442, whereas the average pure technical efficiency was at 0.503, thus suggesting that they were suffering from decreasing returns to scale (DRS). In contrast, the performance of the five leading players seemed superior because their average efficiency scores were higher than the industry's average. Moreover, they were experiencing increasing scale efficiency (IRS). We draw on these findings to suggest to policymakers that supporting technologically intensive sectors should be more than simply increasing investment scale; rather, it should also encompass assisting businesses in developing efficient managerial processes for R&D.

Keyword:

R&D investment efficiency technical efficiency China's listed lithium battery enterprises pure technical efficiency scale efficiency Data Envelopment Analysis

Author Community:

  • [ 1 ] [Bai, Shizhen]Harbin Univ Commerce, Sch Management, Harbin 150028, Peoples R China
  • [ 2 ] [Bi, Xinrui]Harbin Univ Commerce, Sch Management, Harbin 150028, Peoples R China
  • [ 3 ] [He, Hao]Harbin Univ Commerce, Sch Management, Harbin 150028, Peoples R China
  • [ 4 ] [Han, Chunjia]Birkbeck Univ London, Dept Management, London WC1E 7HX, England
  • [ 5 ] [Yang, Mu]Birkbeck Univ London, Dept Management, London WC1E 7HX, England
  • [ 6 ] [Zhou, Qijun]Univ Greenwich, Dept Syst Management & Strategy, London SE10 9LS, England
  • [ 7 ] [Ieromonachou, Petros]Univ Greenwich, Dept Syst Management & Strategy, London SE10 9LS, England
  • [ 8 ] [Shang, Wen-Long]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 9 ] [Shang, Wen-Long]Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100008, Peoples R China
  • [ 10 ] [Shang, Wen-Long]Imperial Coll London, Ctr Transport Studies, London SW7 2AZ, England
  • [ 11 ] [Wang, Lin]Chongqing Technol & Business Univ, Sch Business Adm, Chongqing 400067, Peoples R China

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Source :

FRONTIERS OF ENGINEERING MANAGEMENT

ISSN: 2095-7513

Year: 2022

Issue: 3

Volume: 9

Page: 473-485

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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