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The costs of air pollution: How does air pollution affect technological innovation?

Author

Listed:
  • Shi-Chun Xu

    (China University of Mining and Technology)

  • Xiao-Na Meng

    (China University of Mining and Technology)

  • Hai-Ning Wang

    (China University of Mining and Technology)

  • Jing-Nan Zhang

    (China University of Mining and Technology)

  • Chao Feng

    (Chongqing University)

Abstract

Severe air pollution not only has serious economic and environmental consequences, but also poses a challenge to technological innovation (TI). Existing literature has limited discussion of the potentially damaging effects of air pollution. This article explores the influence and scenario mechanism of air pollution on TI from a novel perspective and analyzes its heterogeneity using provincial data for China from 2008 to 2019. The results indicate a significant inhibition of air pollution on TI, with a 1% increase in SO2, PM2.5, and NOx emissions leading to a 0.316%, 0.529%, and 0.751% decrease in patent applications, respectively. In comparison, invention patents are less constrained by air pollution than utility patents. The threshold effect results suggest that the influence of air pollution on TI is different under various environmental regulation scenarios. The negative effect gradually increases with the strict environmental regulation, and the threshold value is 2.372. The effect and scenario mechanism of air pollution on TI exhibit distinct regional differences. The capital and labor crowding out effects of air pollution are more prominent in eastern China, resulting in an enormous negative impact on TI. This provides references to identify the potential innovation risks of air pollution and contributes to formulating and implementing targeted innovation-driven strategies.

Suggested Citation

  • Shi-Chun Xu & Xiao-Na Meng & Hai-Ning Wang & Jing-Nan Zhang & Chao Feng, 2025. "The costs of air pollution: How does air pollution affect technological innovation?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(5), pages 11603-11626, May.
  • Handle: RePEc:spr:endesu:v:27:y:2025:i:5:d:10.1007_s10668-023-04371-x
    DOI: 10.1007/s10668-023-04371-x
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    1. Duan, Yunlong & Yang, Meng & Huang, Lei & Chin, Tachia & Fiano, Fabio & de Nuccio, Elbano & Zhou, Li, 2022. "Unveiling the impacts of explicit vs. tacit knowledge hiding on innovation quality: The moderating role of knowledge flow within a firm," Journal of Business Research, Elsevier, vol. 139(C), pages 1489-1500.
    2. Song, Yan & Zhu, Jing & Yue, Qian & Zhang, Ming & Wang, Longke, 2023. "Industrial agglomeration, technological innovation and air pollution: Empirical evidence from 277 prefecture-level cities in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 240-252.
    3. Tan, Zhidong & Yan, Lina, 2021. "Does air pollution impede corporate innovation?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 937-951.
    4. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    5. Ufuk Akcigit & Salomé Baslandze & Stefanie Stantcheva, 2016. "Taxation and the International Mobility of Inventors," American Economic Review, American Economic Association, vol. 106(10), pages 2930-2981, October.
    6. Liu, Xiaohong & Yang, Jiangjiang & Xu, Chengzhen & Li, Xingchen & Zhu, Qingyuan, 2023. "Environmental regulation efficiency analysis by considering regional heterogeneity," Resources Policy, Elsevier, vol. 83(C).
    7. Qi He & Xinde (James) Ji, 2021. "The Labor Productivity Consequences of Exposure to Particulate Matters: Evidence from a Chinese National Panel Survey," IJERPH, MDPI, vol. 18(23), pages 1-22, December.
    8. Zhuge, Liqun & Freeman, Richard B. & Higgins, Matthew T., 2020. "Regulation and innovation: Examining outcomes in Chinese pollution control policy areas," Economic Modelling, Elsevier, vol. 89(C), pages 19-31.
    9. Olivier Deschênes & Michael Greenstone & Joseph S. Shapiro, 2017. "Defensive Investments and the Demand for Air Quality: Evidence from the NOx Budget Program," American Economic Review, American Economic Association, vol. 107(10), pages 2958-2989, October.
    10. Jie, Guo & Jiahui, Lv, 2023. "Media attention, green technology innovation and industrial enterprises’ sustainable development: The moderating effect of environmental regulation," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 873-889.
    11. Pan, Xiongfeng & Guo, Shucen & Li, Mengna & Song, Jinbo, 2021. "The effect of technology infrastructure investment on technological innovation ——A study based on spatial durbin model," Technovation, Elsevier, vol. 107(C).
    12. Ouyang, Xiaoling & Li, Qiong & Du, Kerui, 2020. "How does environmental regulation promote technological innovations in the industrial sector? Evidence from Chinese provincial panel data," Energy Policy, Elsevier, vol. 139(C).
    13. Zeng, Juying & Caplliure-Giner, Eva-María & Adame-Sánchez, Consolación, 2019. "Individualized evaluation of health cost and health risks," Journal of Business Research, Elsevier, vol. 101(C), pages 828-835.
    14. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    15. Wu, Ning & Liu, ZuanKuo, 2021. "Higher education development, technological innovation and industrial structure upgrade," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    16. Xin Li & Fei Guo & Qiong Xu & Siwei Wang & Hongyun Huang, 2023. "Strategic or substantive innovation? The effect of government environmental punishment on enterprise green technology innovation," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(5), pages 3365-3386, October.
    17. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
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