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Impact of Technology Innovation on Air Quality—An Empirical Study on New Energy Vehicles in China

Author

Listed:
  • Haoxuan Hu

    (College of Materials Science and Engineering, Chongqing University, Chongqing 400045, China)

  • Yuchen Zhang

    (College of Architecture and Urban Planning, Chongqing University, Chongqing 400045, China)

  • Xi Rao

    (College of Economics and Business Administration, Chongqing University, Chongqing 400045, China)

  • Yinghua Jin

    (Sino-US College, Beijing Institute of Technology, Zhuhai 519088, China)

Abstract

China’s high economic growth has been accompanied by deteriorating air quality in recent decades. This paper aims to explore the relation between technology innovation (defined as the invention patent counts of each region) of new energy vehicles (NEVs) in China and air quality. A panel fixed effect model is used to analyze this relation and the mediating effect methods are used to examine the role of the output of NEVs (defined as the annual production quantity of NEVs in each region (unit: thousand)). The results of our study show: (1) the impact of the technology innovation of NEVs on air quality is positive and statistically significant; (2) the mediating role of the output of NEVs is confirmed in the relation between NEVs innovation and air quality improvement; (3) the technology innovation of NEVs has a more notable impact on the air quality in the regions with higher vehicle and vessel tax (VVT). The present study implicates for the first time that the technology innovation of NEVs can enhance air quality with the mediating role of the output of NEVs and the moderating role of VVT.

Suggested Citation

  • Haoxuan Hu & Yuchen Zhang & Xi Rao & Yinghua Jin, 2021. "Impact of Technology Innovation on Air Quality—An Empirical Study on New Energy Vehicles in China," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4025-:d:534281
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    References listed on IDEAS

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    1. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
    2. Li, Yaoming & Zhang, Qi & Liu, Boyu & McLellan, Benjamin & Gao, Yuan & Tang, Yanyan, 2018. "Substitution effect of New-Energy Vehicle Credit Program and Corporate Average Fuel Consumption Regulation for Green-car Subsidy," Energy, Elsevier, vol. 152(C), pages 223-236.
    3. Ruoyu Wang & Desheng Xue & Ye Liu & Penghua Liu & Hongsheng Chen, 2018. "The Relationship between Air Pollution and Depression in China: Is Neighbourhood Social Capital Protective?," IJERPH, MDPI, vol. 15(6), pages 1-13, June.
    4. He, Xiaoping & Jiang, Shuo, 2021. "Effects of vehicle purchase restrictions on urban air quality: Empirical study on cities in China," Energy Policy, Elsevier, vol. 148(PB).
    5. Zhang, Xin & Zhang, Xiaobo & Chen, Xi, 2017. "Happiness in the air: How does a dirty sky affect mental health and subjective well-being?," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 81-94.
    6. Yu, Feifei & Wang, Liting & Li, Xiaotong, 2020. "The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation," Energy Policy, Elsevier, vol. 141(C).
    7. Tan, Ruipeng & Tang, Di & Lin, Boqiang, 2018. "Policy impact of new energy vehicles promotion on air quality in Chinese cities," Energy Policy, Elsevier, vol. 118(C), pages 33-40.
    8. Yongfeng Zhu & Zilong Wang & Shilei Qiu & Lingling Zhu, 2019. "Effects of Environmental Regulations on Technological Innovation Efficiency in China’s Industrial Enterprises: A Spatial Analysis," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    9. Zeng, Yuan & Tan, Xianchun & Gu, Baihe & Wang, Yi & Xu, Baoguang, 2016. "Greenhouse gas emissions of motor vehicles in Chinese cities and the implication for China’s mitigation targets," Applied Energy, Elsevier, vol. 184(C), pages 1016-1025.
    10. Raghutla, Chandrashekar & Shahbaz, Muhammad & Chittedi, Krishna Reddy & Jiao, Zhilun, 2021. "Financing clean energy projects: New empirical evidence from major investment countries," Renewable Energy, Elsevier, vol. 169(C), pages 231-241.
    11. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Cited by:

    1. Hichem Saidi & Abdelaziz Hakimi & Houssem Rachdi, 2024. "On the Technology-Growth Relationship: Does the Institutional Quality Matter? A Panel Simultaneous Equation Framework," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3439-3465, March.
    2. Zhao, Qian & Ding, Longfei & Pirtea, Marilen Gabriel & Vǎtavu, Sorana, 2023. "Does technological innovation bring better air quality?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 978-990.

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