Analyzing the Influence Factors of New Energy Vehicles on Traditional Energy Vehicle Industry in China Based on Entropy Weighted TOPSIS and Pearson Analysis
DOI: 10.23977/ieim.2024.070320 | Downloads: 30 | Views: 767
Author(s)
Zimeng Hui 1, Jing Zeng 1, Yingying Zhang 2
Affiliation(s)
1 School of Business, Xi'an International Studies University, Xi'an, 710128, China
2 School of Economics and Finance, Xi'an International Studies University, Xi'an, 710128, China
Corresponding Author
Zimeng HuiABSTRACT
With the increase of global environmental awareness and the active promotion of policies, the new energy automobile industry has gradually become a new trend in the development of the automobile industry. This study analyzes the influencing factors of the production and sales volume of new energy vehicles (EV and PHEV) and traditional fuel vehicles (OFC), and then explores the impact of new energy vehicles on the development of traditional automobile industry. The study uses 2013-2022 data to construct an entropy-weighted TOPSIS-based indicator system to quantify industry differences and identify the main influencing factors. Further, Pearson correlation analysis is used to analyze the correlation between the main indicators and production and sales volume to identify the impact of new energy vehicles on the traditional automobile industry. The results of the study reveal the significant influence of environmental and ecological indicators, economic indicators, technological development indicators and infrastructure construction on the development of new energy automobile industry. Meanwhile, the correlation between crude oil production, total energy consumption, average energy density of battery and traditional fuel vehicle industry is analyzed, which points out the impact and promotion of new energy vehicle industry on traditional automobile industry. Based on the analysis results, optimization strategies for the automobile industry are proposed to promote the sustainable development of the industry.
KEYWORDS
New Energy Vehicle, Conventional Energy Vehicles, Entropy Weighting, TOPSIS Model, Pearson Correlation AnalysisCITE THIS PAPER
Zimeng Hui, Jing Zeng, Yingying Zhang, Analyzing the Influence Factors of New Energy Vehicles on Traditional Energy Vehicle Industry in China Based on Entropy Weighted TOPSIS and Pearson Analysis. Industrial Engineering and Innovation Management (2024) Vol. 7: 143-150. DOI: http://dx.doi.org/10.23977/ieim.2024.070320.
REFERENCES
[1] Zhang Dijun. Exploration of new energy vehicle technology in the view of big data[J]. Automobile and New Power, 2024, 7(1):77-79.
[2] QI Yingfan, HOU Lisong, YE Nan. Impact of brand experience of traditional fuel vehicles on the evaluation of extended products of new energy vehicles[J]. Productivity Research, 2022(9):97-101.
[3] STAN, STAR, NINGCHENGHAO. Impact of perceived disruptive innovation on purchase intention of new energy and fuel vehicles[J]. Economic and Management Research, 2023, 44(10):75-89.
[4] Dai Xinyi, Yuan Xingyou, Hu Yucai. Comparative analysis of fuel vehicles and new energy vehicles[J]. Automobile Repair and Maintenance, 2024(6):96-98.
[5] Sun Ke, Song Yutong. Disruptive innovation in China's automobile industry from fuel vehicles to new energy vehicles in the strategic shift[J]. Automotive Craftsman, 2024(1):20-26.
[6] WANG Qing, LI Zhengyu. Industrial and regional differentiation issues and countermeasures triggered by the rapid replacement of fuel vehicles by new energy vehicles[J]. China Development Observation, 2023(6):5-11.
[7] SUAI Lianguo, HUANG Hairong, YAN Fei. Research on the cost-effectiveness of emission reduction of new energy vehicles instead of fuel vehicles[J]. Modern Economic Information, 2018(16):150-151, 153.
[8] XU Yingjun, DING Shaoheng, LUO Yantuo. Long-term trend forecast of new energy vehicle development and its impact on gasoline demand in China[J]. International Petroleum Economics, 2022, 30(8):32-40.
[9] SUN Gongxun, ZHAO Jinghua. Benefit analysis of new energy vehicle supply chain considering green preference and product substitution rate[J]. Journal of Chongqing Gongshang University (Natural Science Edition), 2024, 41(1):91-97.
[10] LIU Chunling, ZHAO Lili, LI Jizi, et al. Analysis of new energy vehicle production decision based on optimal control considering double integral and carbon trading[J]. Computer Integrated Manufacturing Systems, 2023, 29(12):4282-4292.
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