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Has the Construction of National Intellectual Property Model Cities Reduced PM 2.5 Concentration and Standard Deviation? New Evidence from Counties in China

Author

Listed:
  • Yuheng Wang

    (School of Finance and Public Administration, Harbin University of Commerce, Harbin 150028, China)

  • Sihan Chen

    (School of Finance, Harbin University of Commerce, Harbin 150028, China)

  • Zhicheng Zhou

    (School of Finance, Harbin University of Commerce, Harbin 150028, China)

  • Shen Zhong

    (School of Finance, Harbin University of Commerce, Harbin 150028, China)

Abstract

PM 2.5 poses a serious threat to public health, and stronger intellectual property (IP) protection can help reduce PM 2.5 concentrations. This study treats the rollout of National Intellectual Property Model Cities (NIPMC) as a quasi-natural experiment in IP protection, using an unbalanced panel of 2074 counties from 2005 to 2021. We employ a multi-period difference-in-differences (DID) design to examine how NIPMC affects both average PM 2.5 levels and their variability. Three main findings emerge. First, NIPMC significantly lowers PM 2.5 levels and their dispersion in pilot counties, a result that remains robust across a battery of checks. Second, NIPMC reduces PM 2.5 by strengthening local innovation capacity and by accelerating industrial restructuring and upgrading. Third, the reduction in average PM 2.5 is especially pronounced in areas with weaker IP protection, general (non-core) cities, and in western regions; meanwhile, the reduction in PM 2.5 variability is particularly notable in weak-IP areas, general cities, and central regions. Together, these results provide new evidence on the environmental benefits of IP protection and offer actionable policy guidance for developing countries pursuing cleaner air.

Suggested Citation

  • Yuheng Wang & Sihan Chen & Zhicheng Zhou & Shen Zhong, 2025. "Has the Construction of National Intellectual Property Model Cities Reduced PM 2.5 Concentration and Standard Deviation? New Evidence from Counties in China," Sustainability, MDPI, vol. 17(18), pages 1-29, September.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8467-:d:1754427
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    as
    1. Lin, Weiran & He, Qiuqin & Xiao, Yuan & Yang, Jingwen, 2023. "Do city lockdowns effectively reduce air pollution?," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    2. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    3. repec:fth:prinin:315 is not listed on IDEAS
    4. Alberto Abadie & Guido W. Imbens, 2016. "Matching on the Estimated Propensity Score," Econometrica, Econometric Society, vol. 84, pages 781-807, March.
    5. Su, Yi & Fan, Qi-ming, 2022. "Renewable energy technology innovation, industrial structure upgrading and green development from the perspective of China's provinces," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    6. repec:diw:diwwpp:dp485 is not listed on IDEAS
    7. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
    8. Zhou, Xiaoxiao & Cai, Ziming & Tan, Kim Hua & Zhang, Linling & Du, Juntao & Song, Malin, 2021. "Technological innovation and structural change for economic development in China as an emerging market," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    9. Campi, Mercedes & Dueñas, Marco, 2016. "Intellectual Property Rights and International Trade of Agricultural Products," World Development, Elsevier, vol. 80(C), pages 1-18.
    10. Davis, Donald R, 1998. "The Home Market, Trade, and Industrial Structure," American Economic Review, American Economic Association, vol. 88(5), pages 1264-1276, December.
    11. Guo, Qingbin & Zhong, Jinrong, 2022. "The effect of urban innovation performance of smart city construction policies: Evaluate by using a multiple period difference-in-differences model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    12. David Card & Alan Krueger, 1993. "Minimum Wages and Employment: A Case Study of the Fast Food Industry in New Jersey and Pennsylvania," Working Papers 694, Princeton University, Department of Economics, Industrial Relations Section..
    13. Yijing Feng & Edgar Castro & Yaguang Wei & Tingfan Jin & Xinye Qiu & Francesca Dominici & Joel Schwartz, 2024. "Long-term exposure to ambient PM2.5, particulate constituents and hospital admissions from non-respiratory infection," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    14. Huanbi Yue & Chunyang He & Qingxu Huang & Dan Yin & Brett A. Bryan, 2020. "Stronger policy required to substantially reduce deaths from PM2.5 pollution in China," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    15. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    16. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    17. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    18. Zhu, Xinhua & Dai, Chun & Wei, Yigang, 2022. "Does the opening of high-speed railway improve air quality? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    19. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    20. Sweet, Cassandra Mehlig & Eterovic Maggio, Dalibor Sacha, 2015. "Do Stronger Intellectual Property Rights Increase Innovation?," World Development, Elsevier, vol. 66(C), pages 665-677.
    21. Cornaggia, Jess & Mao, Yifei & Tian, Xuan & Wolfe, Brian, 2015. "Does banking competition affect innovation?," Journal of Financial Economics, Elsevier, vol. 115(1), pages 189-209.
    22. Qinghua Song & Qiming Zhong & Songlin Zeng, 2024. "Intellectual Property Protection, Financial Innovation and Corporate Innovation: Evidence from a Quasi-Natural Experiment in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 60(2), pages 358-370, January.
    23. Mercedes Campi, 2017. "The effect of intellectual property rights on agricultural productivity," Agricultural Economics, International Association of Agricultural Economists, vol. 48(3), pages 327-339, May.
    24. Palm, Alvar, 2022. "Innovation systems for technology diffusion: An analytical framework and two case studies," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    25. Chen, Fenglong & Wang, Meichang & Pu, Zhengning, 2022. "The impact of technological innovation on air pollution: Firm-level evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    26. Griffin, John M. & Andrew Karolyi, G., 1998. "Another look at the role of the industrial structure of markets for international diversification strategies," Journal of Financial Economics, Elsevier, vol. 50(3), pages 351-373, December.
    27. Lan, Jing & Wei, Yiming & Guo, Jie & Li, Qiuming & Liu, Zhen, 2023. "The effect of green finance on industrial pollution emissions: Evidence from China," Resources Policy, Elsevier, vol. 80(C).
    28. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    29. Li, Pei & Lu, Yi & Wang, Jin, 2016. "Does flattening government improve economic performance? Evidence from China," Journal of Development Economics, Elsevier, vol. 123(C), pages 18-37.
    30. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    31. William Hill & Emilia L. Lim & Clare E. Weeden & Claudia Lee & Marcellus Augustine & Kezhong Chen & Feng-Che Kuan & Fabio Marongiu & Edward J. Evans & David A. Moore & Felipe S. Rodrigues & Oriol Pich, 2023. "Lung adenocarcinoma promotion by air pollutants," Nature, Nature, vol. 616(7955), pages 159-167, April.
    32. Caragliu, Andrea & Del Bo, Chiara F., 2019. "Smart innovative cities: The impact of Smart City policies on urban innovation," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 373-383.
    Full references (including those not matched with items on IDEAS)

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