This study constructs an evaluation index system based on demand competitiveness, basic competitiveness, industrial agglomeration, industrial competition, industrial innovation, supporting industries, and government policy competitiveness. The study selected 13 provinces with good development of the new energy vehicle (NEV) industry as the sample. Based on the competitiveness evaluation index system, an empirical analysis was conducted to evaluate the development level of the NEV industry in Jiangsu with grey relational analysis and three-way decisions. The results reveal: 1) Under the absolute level of temporal and spatial characteristic attributes, the development of Jiangsu's NEV industry is in a leading position in the country, and the competitiveness level is closer to that of Shanghai and Beijing; 2) Under the incremental level, Jiangsu's incremental level ranks in the upper and middle reaches of 13 provinces, second only to Shanghai; 3) Under the volatility level, Jiangsu's industrial development fluctuates greatly, and the level of volatility lies in the middle reaches of the country. There is a big gap with Shanghai; 4) From the perspective of overall temporal and spatial characteristics, Jiangsu's overall industrial development level is in the first echelon in China, second only to Shanghai and Beijing, indicating that Jiangsu's NEV industry has a relatively good overall development level.
Citation: Qiong-jie Zheng, Huan-huan Zhao, Ru He. The competitiveness measurement of new energy vehicle industry based on grey relational analysis[J]. Mathematical Biosciences and Engineering, 2023, 20(2): 3146-3176. doi: 10.3934/mbe.2023148
This study constructs an evaluation index system based on demand competitiveness, basic competitiveness, industrial agglomeration, industrial competition, industrial innovation, supporting industries, and government policy competitiveness. The study selected 13 provinces with good development of the new energy vehicle (NEV) industry as the sample. Based on the competitiveness evaluation index system, an empirical analysis was conducted to evaluate the development level of the NEV industry in Jiangsu with grey relational analysis and three-way decisions. The results reveal: 1) Under the absolute level of temporal and spatial characteristic attributes, the development of Jiangsu's NEV industry is in a leading position in the country, and the competitiveness level is closer to that of Shanghai and Beijing; 2) Under the incremental level, Jiangsu's incremental level ranks in the upper and middle reaches of 13 provinces, second only to Shanghai; 3) Under the volatility level, Jiangsu's industrial development fluctuates greatly, and the level of volatility lies in the middle reaches of the country. There is a big gap with Shanghai; 4) From the perspective of overall temporal and spatial characteristics, Jiangsu's overall industrial development level is in the first echelon in China, second only to Shanghai and Beijing, indicating that Jiangsu's NEV industry has a relatively good overall development level.
| [1] |
J. H, Zhan, Analysis on the Competitiveness of Fujian New Energy Automobile Industry Based on Diamond Model, China Collect. Econ., 7 (2017), 48–50. https://doi.org/10.3969/j.issn.1008-1283.2017.07.028 doi: 10.3969/j.issn.1008-1283.2017.07.028
|
| [2] |
H. Z. Yuan, X. P. Jian, H. J. Yuan, Research on competitiveness of China's new energy vehicle industry, Sci. Technol. Manage. Res., 32 (2012), 36–41+48. https://doi.org/10.3969/j.issn.1000-7695.2012.17.009 doi: 10.3969/j.issn.1000-7695.2012.17.009
|
| [3] |
S. G. Yan, Assessment of Beijing's new energy industry based on AHP-FCE comprehensive evaluation, Res. Sci. Technol. Manage., 37 (2017), 93–97. https://doi.org/10.3969/j.issn.1000-7695.2017.07.015 doi: 10.3969/j.issn.1000-7695.2017.07.015
|
| [4] |
S. M. Yang, Q. Zhu, Z. B. Liu, The comprehensive evaluation of new energy industry developing capability based on wavelet neural network model, J. Comput., 7 (2012), 439–443. https://doi.org/10.4304/jcp.7.2.439-443 doi: 10.4304/jcp.7.2.439-443
|
| [5] |
H. M. Zhuang, J. S. Zheng, D. Xiong, Strategic choices for enhancing the international competitiveness of China's automobile industry—Research based on the value chain improvement model, Macroeconomic, 11 (2013), 95–102. https://doi.org/10.16304/j.cnki.11-3952/f.2013.11.001 doi: 10.16304/j.cnki.11-3952/f.2013.11.001
|
| [6] |
S. X. Wang, Z. L. Wang, Construction of evaluation index system for technological innovation capability of new energy vehicle industry based on patent information, J. Liaoning Univ. Technol. (Social Sci. Ed.), 18 (2016), 16–17. https://doi.org/10.15916/j.issn1674-327x.2016.02.005 doi: 10.15916/j.issn1674-327x.2016.02.005
|
| [7] |
J. W. Xu, Development and thinking on intellectual property rights of new energy vehicles in China, Macroecon. Manage., 9 (2016), 69–72. https://doi.org/10.19709/j.cnki.11-3199/f.2016.09.018 doi: 10.19709/j.cnki.11-3199/f.2016.09.018
|
| [8] |
X. H. Ji, Y. L. Wu, Effective competition, innovative capacity and industrial chain collaboration: future development of China's new energy automotive industry, J. Jiangsu Univ. Adm., 2 (2017), 57–61. https://doi.org/10.3969/j.issn.1009-8860.2017.02.010 doi: 10.3969/j.issn.1009-8860.2017.02.010
|
| [9] |
L. Zhang, Y. Q. Liu, L. Zhang, K. Ari, Business model innovation path from a multi-level perspective: an empirical study of China's new energy automobile industry, Forum Sci. Technol. China, 2 (2021), 27–38. https://10.13580/j.cnki.fstc.2021.02.005 doi: 10.13580/j.cnki.fstc.2021.02.005
|
| [10] |
K. Ryoichi, F. J. Yasumasa, Assessment of energy saving and CO2 mitigation potential by electric vehicle and plug-in hybrid vehicle under Japan's power generation mix, Electr. Eng. Jpn., 192 (2015), 1–12. https://doi.org/10.1002/eej.22546 doi: 10.1002/eej.22546
|
| [11] |
P. Kate, T. James, E. W. Zia, N. John, Total cost of ownership and market share for hybrid and electric vehicles in the UK, US and Japan, Appl. Energy, 209 (2018), 108–119. https://doi.org/10.1016/j.apenergy.2017.10.089 doi: 10.1016/j.apenergy.2017.10.089
|
| [12] |
S. C. Ma, Y. Fan, L. Y. Feng, An evaluation of government incentives for new energy vehicles in China focusing on vehicle purchasing restrictions, Energy Policy, 110 (2017), 609–618. https://doi.org/10.1016/j.enpol.2017.07.057 doi: 10.1016/j.enpol.2017.07.057
|
| [13] |
P. M. Gong, International competitiveness of China's new energy automobile industry: influencing factors, characteristics and improvement path, Mod. Manage. Sci., 4 (2022), 63–72. https://doi.org/10.3969/j.issn.1007-368X.2022.04.008 doi: 10.3969/j.issn.1007-368X.2022.04.008
|
| [14] |
E. J. Jung, Energy security and climate change: How oil endowment influences alternative vehicle innovation, Energy Policy, 66 (2014), 400–410. https://doi.org/10.1016/j.enpol.2013.11.011 doi: 10.1016/j.enpol.2013.11.011
|
| [15] |
L. J. Liu, F. M. Song, Combination and evaluation of new energy vehicle technology innovation policies at home and abroad, Sci. Manage. Res., 31 (2013), 66–70. https://doi.org/10.19445/j.cnki.15-1103/g3.2013.01.017 doi: 10.19445/j.cnki.15-1103/g3.2013.01.017
|
| [16] |
H. Y. An, Interpretation of my country's new energy automobile industry policy and countermeasures, Sci. Technol. Manage. Res., 32 (2012), 29–32+41. https://doi.org/10.3969/j.issn.1000-7695.2012.10.007 doi: 10.3969/j.issn.1000-7695.2012.10.007
|
| [17] |
B. H. Guo, W. Q. Lu, H. Wang, Y. D. Qiao, W. P. Li, The new energy automobile industry policy decomposition and policy effectiveness measurement based on the key technology chain, Chin. J. Popul. Resour. Environ., 29 (2019), 76–86. https://doi.org/10.12062/cpre.20190318 doi: 10.12062/cpre.20190318
|
| [18] |
Z. Qian, F. Zhao, S. S. Liao, S. Q. Liu, An empirical analysis of the impact of resource allocation on the scientific and technological output of strategic emerging industries in universities—Taking the new energy automobile industry as an example, Lib. Inf. Work, 61 (2017), 81–88. https://doi.org/10.13266/j.issn.0252-3116.2017.08.010 doi: 10.13266/j.issn.0252-3116.2017.08.010
|
| [19] |
S. F. Ji, D. Zhao, R. J. Luo, Evolutionary game analysis on local governments and manufacturers' behavioral strategies: impact of phasing out subsidies for new energy vehicles, Energy, 189 (2019), 116064. https://doi.org/10.1016/j.energy.2019.116064 doi: 10.1016/j.energy.2019.116064
|
| [20] | X. He, Research on the Evaluation of the Competitiveness of My Country's New Energy Automobile Industry Based on the "Diamond Model", M.A. thesis, Jiangxi University of Science and Technology, 2020. https://doi.org/10.27176/d.cnki.gnfyc.2020.000188 |
| [21] |
W. J. Wu, L. Li, L. N. Zhou, Evaluation on the spatial difference of China's new energy vehicle development competitiveness under the background of carbon neutralization, Enterp. Econ., 41 (2022), 24–35. https://doi.org/10.13529/j.cnki.enterprise.economy.2022.03.003 doi: 10.13529/j.cnki.enterprise.economy.2022.03.003
|
| [22] | B. Li, K. Zhang, T. J. Chen, Application of AHP to Lancang River-Mekong River consumable water distribution, Eng. J. Wuhan Univ., 51 (2018), 389–393. http://eng.oversea.cnki.net/kcms/deta |
| [23] |
C. Y. Che, J. G. Liu, J. Li, Entropy weight-TOPSIS based port safety assessment, J. Dalian Marit. Univ., 42 (2016), 47–54. https://doi.org/10.16411/j.cnki.issn1006-7736.2016.04.008 doi: 10.16411/j.cnki.issn1006-7736.2016.04.008
|
| [24] |
Research Group of "Research on China's Industrial Competitiveness", Renmin University of China Evaluation and Analysis Report on Industrial Competitiveness of China's 30 Provinces and Municipalities in Automobile Manufacturing Industry, Manage. World, 10 (2004), 68–78. https://doi.org/10.19744/j.cnki.11-1235/f.2004.10.009 doi: 10.19744/j.cnki.11-1235/f.2004.10.009
|
| [25] |
M. Chen, L. Wang, L. Deng, Construction of Jiangxi automobile industry competitiveness evaluation index system, Enterp. Econ., 5 (2012), 98–101. https://doi.org/10.13529/j.cnki.enterprise.economy.2012.05.006 doi: 10.13529/j.cnki.enterprise.economy.2012.05.006
|
| [26] |
J. B. Qi, Research on the competitiveness of China's new energy vehicle industry, Sci. Technol. Econ., 26 (2013), 106–109. https://doi.org/10.3969/j.issn.1003-7691.2013.03.022 doi: 10.3969/j.issn.1003-7691.2013.03.022
|
| [27] |
J. Shi, Research on evaluation of international competitiveness of China's new energy automobile industry, Autom. Ind. Res., 1 (2014), 35–40. https://doi.org/10.3969/j.issn.1009-847X.2014.01.007 doi: 10.3969/j.issn.1009-847X.2014.01.007
|
| [28] |
Y. H. Wang, B. Wang, Evaluation and promotion strategy of new energy automobile industry competitiveness, J. Changchun Univ. Technol. (Nat. Sci. Ed.), 35 (2014), 607–611. https://doi.org/10.15923/j.cnki.cn22-1382/t.2014.06.002 doi: 10.15923/j.cnki.cn22-1382/t.2014.06.002
|
| [29] | X. H. Xu, Research on the Evaluation of the International Competitiveness of China's New Energy Automobile Industry—Based on the Grey Relational Analysis Method, M.A. thesis, Donghua University, 2022. https://doi.org/10.27012/d.cnki.gdhuu.2022.001404 |
| [30] |
Y. H. Wang, B. Wang, New energy automobile industry competitiveness evaluation and promotion strategies, J. Changchun Univ. Technol. (Nat. Sci. Ed.), 35 (2014), 607–611. https://doi.org/10.15923/j.cnki.cn22-1382/t.2014.06.002 doi: 10.15923/j.cnki.cn22-1382/t.2014.06.002
|
| [31] |
W. H. Xie, D. C. Zeng, An empirical study of Guangdong province's new energy automobile industry competitiveness evaluation based on the new diamond model, Sci. Technol. Manage. Res., 39 (2019), 56–61. https://doi.org/10.3969/j.issn.1000-7695.2019.09.009 doi: 10.3969/j.issn.1000-7695.2019.09.009
|
| [32] |
S. F. Liu, Y. J. Yang, Y. Cao, N. M. Xie, A summary on the research of GRA models, Grey Syst. Theory Appl., 3 (2013), 7–15. https://doi.org/10.1108/20439371311293651 doi: 10.1108/20439371311293651
|
| [33] |
Y. G. Li, Y. Dai, X. Q. He, Panel data clustering method based on adaptive weight, Syst. Eng. Theory Pract., 33 (2013), 388–395. https://doi.org/10.12011/1000-6788(2013)2-388 doi: 10.12011/1000-6788(2013)2-388
|
 mbe-20-02-148-supplementary.pdf |
 |
Qiong-jie Zheng, Huan-huan Zhao, Ru He. The competitiveness measurement of new energy vehicle industry based on grey relational analysis[J]. Mathematical Biosciences and Engineering, 2023, 20(2): 3146-3176. doi: 10.3934/mbe.2023148
DownLoad: