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Dynamic Evaluation and Regional Differences Analysis of the NEV Industry Development in China

Author

Listed:
  • Yanhua Liang

    (College of Management, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Hongjuan Lu

    (College of Management, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract

In the transportation sector, new energy vehicles (NEVs) are critical to reduce CO 2 emissions in the context of carbon neutralization. The study of dynamic evaluation and regional difference analysis is helpful to the NEV industry development in policy design and industrial planning. In this study, based on the provincial data in China from 2016 to 2020, the grey target model and Dagum Gini coefficient method are employed for the dynamic evaluation and regional differences of the NEV industry development. The results were as follows: (1) The overall and provincial level of the NEV industry development showed an increasing pattern. The bull’s eye degrees of Guangdong, which had the best development, were 0.4884, 0.5361, 0.6067, 0.6787, and 0.7047 during the study period. (2) The regional differences in the NEV industry development were significant. The east region had the best development, followed by the middle, the west, and the northeast regions. The intra-regional differences were expanding with different annual growth rates. (3) The inter-regional differences between the east and the other three regions were the largest. The regional differences in the NEV development are mainly derived from inter-regional dereference. (4) The D 1 , D 2 , and D 3 dimensions all contributed significantly to provinces with higher levels of development, while the D 4 dimension contributed significantly to provinces with lower levels of development. Based on these results, different provinces should take differentiated development strategies and enhancement paths to promote their NEV industry development.

Suggested Citation

  • Yanhua Liang & Hongjuan Lu, 2022. "Dynamic Evaluation and Regional Differences Analysis of the NEV Industry Development in China," Sustainability, MDPI, vol. 14(21), pages 1-23, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13864-:d:952875
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    References listed on IDEAS

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    1. Breetz, Hanna L. & Salon, Deborah, 2018. "Do electric vehicles need subsidies? Ownership costs for conventional, hybrid, and electric vehicles in 14 U.S. cities," Energy Policy, Elsevier, vol. 120(C), pages 238-249.
    2. Cailou Jiang & Ying Zhang & Maoliang Bu & Weishu Liu, 2018. "The Effectiveness of Government Subsidies on Manufacturing Innovation: Evidence from the New Energy Vehicle Industry in China," Sustainability, MDPI, vol. 10(6), pages 1-11, May.
    3. Scorrano, Mariangela & Danielis, Romeo & Giansoldati, Marco, 2020. "Dissecting the total cost of ownership of fully electric cars in Italy: The impact of annual distance travelled, home charging and urban driving," Research in Transportation Economics, Elsevier, vol. 80(C).
    4. Wang, Zheng-Xin & He, Ling-Yang & Zheng, Hong-Hao, 2019. "Forecasting the residential solar energy consumption of the United States," Energy, Elsevier, vol. 178(C), pages 610-623.
    5. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    6. Palmer, Kate & Tate, James E. & Wadud, Zia & Nellthorp, John, 2018. "Total cost of ownership and market share for hybrid and electric vehicles in the UK, US and Japan," Applied Energy, Elsevier, vol. 209(C), pages 108-119.
    7. Babar, Abdul Haseeb Khan & Ali, Yousaf, 2021. "Enhancement of electric vehicles’ market competitiveness using fuzzy quality function deployment," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    8. Diao, Qinghua & Sun, Wei & Yuan, Xinmei & Li, Lili & Zheng, Zhi, 2016. "Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies," Applied Energy, Elsevier, vol. 178(C), pages 567-578.
    9. Cao, Jidi & Chen, Xin & Qiu, Rui & Hou, Shuhua, 2021. "Electric vehicle industry sustainable development with a stakeholder engagement system," Technology in Society, Elsevier, vol. 67(C).
    10. repec:cdl:itsdav:qt50q9060k is not listed on IDEAS
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    Cited by:

    1. Daoyuan Chen & Guoen Wang & Ziwei Yuan & Ershen Zhang, 2023. "Study on the Spatial Pattern and Influencing Factors of China’s New Energy Vehicle Industry—Based on Data of Relevant Listed Companies from 2008–2021," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    2. Yang, Qiong & Liu, Haibin, 2025. "Intelligent-driven resilience enhancement: Nonlinear impacts and spatial spillover effects of AI penetration on China’s NEV industry chain," Technology in Society, Elsevier, vol. 81(C).

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