| Title | Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model |
|---|---|
| ID_Doc | 31567 |
| Authors | Fang, SR; Xue, XS; Yin, G; Fang, H; Li, JL; Zhang, YN |
| Title | Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model |
| Year | 2020 |
| Published | Sustainability, 12, 18 |
| Abstract | It is vital to promote and optimize the technological innovation efficiency of new energy vehicle (NEV) enterprises for the green transformation of China's automobile industry. However, China's NEV enterprises still have problems such as insufficient research of technology and unreasonable innovative resource allocation. To improve the technological innovation efficiency of China's NEV enterprises, the NEVs' technological innovation process is divided into two stages: the research and development (R&D) stage and the achievement transformation stage in this research. Combining Tobit regression with data envelopment analysis (DEA), an evaluation framework of technological innovation efficiency of the NEV enterprises is constructed. Then, the innovation efficiency of 23 NEV listed enterprises from 2013 to 2018 is analyzed. The result reveals three findings. First, the overall technological innovation efficiency of NEV enterprises is low. Second, enterprises' R&D efficiency is generally higher than the achievement transformation efficiency. Third, according to two-stage efficiency, 23 NEV enterprises are divided into four categories. For different types of enterprises, targeted guidance to improve innovation efficiency is proposed. This research provides a theoretical and practical basis for improving the innovation efficiency of NEV enterprises. |
| https://www.mdpi.com/2071-1050/12/18/7509/pdf?version=1600136173 |
Similar Articles
| ID | Score | Article |
|---|---|---|
30719
|
Jiang, TT; Ji, PJ; Shi, Y; Ye, Z; Jin, Q Efficiency assessment of green technology innovation of renewable energy enterprises in China: a dynamic data envelopment analysis considering undesirable output(2021)Clean Technologies And Environmental Policy, 23, 5 | |
| 30753
|
Zhu, L; Luo, J; Dong, QL; Zhao, Y; Wang, YY; Wang, Y Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path(2021) | |
| 12903
|
Li, JJ; Li, CJ; Qin, YT; Li, SW Research on financing and technological innovation efficiency of China ' s energy-saving and environmental protection enterprises(2024)Heliyon, 10.0, 11 | |
| 30769
|
Luo, QL; Miao, CL; Sun, LY; Meng, XN; Duan, MM Efficiency evaluation of green technology innovation of China's strategic emerging industries: An empirical analysis based on Malmquist-data envelopment analysis index(2019) | |
| 32181
|
Cheng, ML; Yang, SL; Wen, ZG The effect of technological factors on industrial energy intensity in China: New evidence from the technological diversification(2021) | |
| 35648
|
Miao, CL; Duan, MM; Zuo, Y; Wu, XY Spatial heterogeneity and evolution trend of regional green innovation efficiency--an empirical study based on panel data of industrial enterprises in China's provinces(2021) | |
| 30985
|
Guo, FR; Liu, Q Research on Manufacturing Green Innovation Capability Based on Big Data Mining-Taking the New Energy Vehicle Companies as an Example(2020) | |
| 34873
|
Du, JL; Liu, Y; Diao, WX Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China(2019)International Journal Of Environmental Research And Public Health, 16, 6 | |
| 30205
|
Jie, HL Overall optimization model of efficiency and performance of green technology innovation(2021) | |
| 35760
|
Zhang, YT; Chen, HC; He, ZM Regional green innovation efficiency and dynamic evolution of Chinese industrial enterprises: a three-stage super-efficiency DEA method based on cooperative game(2022)Environmental Science And Pollution Research, 29, 59 |