The competitiveness measurement of new energy vehicle industry based on grey relational analysis
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...
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Format: | Article |
Language: | English |
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AIMS Press
2023-01-01
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Series: | Mathematical Biosciences and Engineering |
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Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023148?viewType=HTML |
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author | Qiong-jie Zheng Huan-huan Zhao Ru He |
author_facet | Qiong-jie Zheng Huan-huan Zhao Ru He |
author_sort | Qiong-jie Zheng |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-10T19:37:27Z |
format | Article |
id | doaj.art-3b4dc70509a640eda83dc4a287753dda |
institution | Directory Open Access Journal |
issn | 1551-0018 |
language | English |
last_indexed | 2024-04-10T19:37:27Z |
publishDate | 2023-01-01 |
publisher | AIMS Press |
record_format | Article |
series | Mathematical Biosciences and Engineering |
spelling | doaj.art-3b4dc70509a640eda83dc4a287753dda2023-01-30T01:50:05ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-01-012023146317610.3934/mbe.2023148The competitiveness measurement of new energy vehicle industry based on grey relational analysisQiong-jie Zheng0Huan-huan Zhao1Ru He21. Nanjing Academy of Social Sciences, Nanjing 210018, China2. School of Management, Wuxi Institute of Technology Jiangsu province, Wuxi 214121, China3. School of Business, Hohai University, Nanjing 210016, ChinaThis 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.https://www.aimspress.com/article/doi/10.3934/mbe.2023148?viewType=HTMLnew energy vehiclecompetitive measurementgrey relational analysisthree way theory |
spellingShingle | Qiong-jie Zheng Huan-huan Zhao Ru He The competitiveness measurement of new energy vehicle industry based on grey relational analysis Mathematical Biosciences and Engineering new energy vehicle competitive measurement grey relational analysis three way theory |
title | The competitiveness measurement of new energy vehicle industry based on grey relational analysis |
title_full | The competitiveness measurement of new energy vehicle industry based on grey relational analysis |
title_fullStr | The competitiveness measurement of new energy vehicle industry based on grey relational analysis |
title_full_unstemmed | The competitiveness measurement of new energy vehicle industry based on grey relational analysis |
title_short | The competitiveness measurement of new energy vehicle industry based on grey relational analysis |
title_sort | competitiveness measurement of new energy vehicle industry based on grey relational analysis |
topic | new energy vehicle competitive measurement grey relational analysis three way theory |
url | https://www.aimspress.com/article/doi/10.3934/mbe.2023148?viewType=HTML |
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