Abstract
This study establishes a simultaneous equations model to identify the bi-directional causal relationship between technological innovation and air pollution from a two-way dynamic endogenous perspective, and empirically through a three-stage least squares estimator using panel data from China’s 175 cities over 2008–2019. We find a significantly negative bi-directional relationship between technological innovation and air pollution, with the regression coefficients of −0.378 and −0.440. Economic development level, foreign direct investment, innovation fund and personnel inputs, and government financial support all positively, significantly affect innovation. Air pollution level produces significantly negative effects on invention, utility model, and design patents’ output with regression coefficients of −0.128, −0.070, and −0.117. It indicates that air pollution produces more obvious negative influences on invention patent output than non-invention patent output. An inverted-U-shaped relationship exists between emissions and economic development level. Foreign trade and secondary industry development (infrastructure level) increase (decrease) emissions. Decision-makers should consider the joint influences of all factors; invest to help firms reduce air pollution control and innovation costs; improve the environment, infrastructure, and policies to attract talents; enhance trade and investment liberalisation and facilitation; attract more foreign direct investment inflows; and improve secondary industry development’s quality.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10668-024-04535-3/MediaObjects/10668_2024_4535_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10668-024-04535-3/MediaObjects/10668_2024_4535_Fig2_HTML.png)
Similar content being viewed by others
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Notes
Full Text of Air Pollution Prevention and Control Action Plan on 12 September 2013. Available at: http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm
Full Text of the 13th Five-Year Plan for National Economic and Social Development of the People's Republic of China. Available at: http://www.gov.cn/xinwen/2016-03/17/content_5054992.htm
Full Text of Report on the Work of the Government on 5 March 2017. Available at: http://www.xinhuanet.com/english/china/2017-03/16/c_136134017.htm
Full Text of Three-Year Action Plan on Defending the Blue Sky. Available at: http://www.gov.cn/zhengce/content/2018-07/03/content_5303158.htm
Full text of the outline of the 14th Five-Year Plan and Vision 2035 for the National Economic and Social Development of the People's Republic of China. Available at: http://www.gov.cn/xinwen/2021-03/13/content_5592681.htm
Communique of the Fifth Plenary Session of the 18th CPC Central Committee. Available at: http://www.xinhuanet.com/politics/2015-10/29/c_1116983078.htm
Full text of Xi Jinping's report at 19th CPC National Congress on 18 October 2017. Available at: http://www.china.org.cn/20171105-002.pdf
In 2020, China's total investment in environmental pollution control is 1,063.89 billion yuan. Available at: https://m.gmw.cn/baijia/2022-02/23/1302817378.html
Ministry of Ecology and Environment of the People’s Republic of China. 2020 Report on the State of Ecological Environment in China. May 2021. Available at: http://www.mee.gov.cn/hjzl/sthjzk/zghjzkgb/
Abbreviations
- TIL:
-
Technological innovation level
- APL:
-
Air pollution level
- EDL:
-
Economic development level
- FDI:
-
Foreign direct investment
- IFI:
-
Innovation fund input
- IPI:
-
Innovation personnel input
- GFS:
-
Government financial support
- FTL:
-
Foreign trade level
- INL:
-
Infrastructure level
- ISL:
-
Industrial structure level
- IPG:
-
Invention patent granted
- UPG:
-
Utility model patent granted
- DPG:
-
Design patent granted
- SDP:
-
Smoke and dust emissions per capita
- NPA:
-
The number of patent applications per 10,000 people
References
Ai, H. S., Wang, M. Y., Zhang, Y. J., & Zhu, T. T. (2022). How does air pollution affect urban innovation capability? Evidence from 281 cities in China. Structural Change and Economic Dynamics, 61(6), 166–178. https://doi.org/10.1117/12.2670433
Alvarez-Herranza, A., Balsalobre-Lorenteb, D., Shahbazc, M., & María Cantos, J. (2017). Energy innovation and renewable energy consumption in the correction of air pollution levels. Energy Policy, 105(6), 386–397.
Beevers, S. D., & Carslaw, D. C. (2005). The impact of congestion charging on vehicle emissions in London. Atmospheric Environment, 39(1), 1–5.
Belsley, D. A. (1988). Two- or three-stage least squares? Computer Science in Economics and Management, 1(1), 21–30.
Brauer, M., Casadei, B., Harrington, R. A., Kovacs, R., & Sliwa, K. (2021). Taking a stand against air pollution -the impact on cardiovascular disease. European Heart Journal, 42(15), 1460–1463.
Bronzini, R., & Piselli, P. (2016). The impact of R&D subsidies on firm innovation. Research Policy, 2, 442–457.
Brunnermeier, S. B., & Cohen, M. A. (2003). Determinants of environmental innovation in US manufacturing industries. Journal of Environmental Economics and Management, 45(2), 278–293.
Buera, F. J., & Kaboski, J. P. (2012). Scale and the origins of structural change. Journal of Economic Theory, 147(2), 684–712.
Carrión-Flores, C. E., & Innes, R. (2010). Environmental innovation and environmental performance. Journal of Environmental Economics and Management, 59, 27–42.
Chen, S., & Chen, T. (2014). Air pollution and public health: evidence from sulfur dioxide emissions of coal-fired power stations in China. Economic Research Journal, 49(8), 158–169.
Chen, Y. Y., & Hsu, P. H. (2016). In the mood for creativity: Weather-induced mood, inventor productivity, and firm value. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2782918
Chen, F. D., Wang, M. C., & Pu, Z. M. (2022). The impact of technological innovation on air pollution: Firm-level evidence from China. Technological Forecasting and Social Change, 177(4), 121521.
Chen, S. Y., & Chen, D. K. (2018). Smog pollution, government regulation and high-quality economic development. Economic Research Journal, 53(2), 20–34.
Chintrakarn, P. (2008). Environmental regulation and U.S. states’ technical inefficiency. Economics Letters, 100(3), 363–365.
Cohen, A. J., Brauer, M., Burnett, R., et al. (2017). Estimates and 25 year trends of the global burden of disease attributable to ambient air pollution: An analysis of data from the global burden of diseases study 2015. The Lancet, 389(10082), 1907–1918.
Czarnitzki, D., & Almus, M. (2003). The effects of public R&D subsidies on firms’ innovation activities: The case of Eastern Germany. Journal of Business and Economic Statistics, 21(2), 226–36.
Evans, G. W., Colome, S. D., & Shearer, D. F. (1988). Psychological reactions to air pollution. Environmental Research, 45(1), 1–15.
Fang, D., Wang, Q., Li, H., Yu, Y., Lu, Y., & Qian, X. (2016). Mortality effects assessment of ambient PM2.5 pollution in the 74 leading cities of China. Science of The Total Environment, 569–570(1), 1545–1552.
Fisher-Vanden, K., & Wing, I. S. (2008). Accounting for quality: Issues with modeling the impact of R&D on economic growth and carbon emissions in developing economies. Energy Economics, 30(6), 2771–2784.
Grossman, G. M., & Krueger, A. B. (1995). Economic growth and the environment. Quarterly Journal of Economics, 110, 353–377.
Guan, J., & Yam, R. C. (2015). Effects of government financial incentives on firms’ innovation performance in China, evidences from Beijing in the 1990s’. Research Policy, 44(1), 273–282.
Guellec, D., & Pottelsberghe, B. (2003). The impact of public R&D expenditure on business R&D. Economics of Innovation and New Technology, 12(3), 225–243.
Gunderson, R., & Yun, S. J. (2017). South Korean green growth and the Jevons paradox: An assessment with democratic and degrowth policy recommendations. Journal of Cleaner Production, 144, 239–247.
Gupta, M., Saini, S., & Sahoo, M. (2022). Determinants of ecological footprint and PM2.5: role of urbanization, natural resources and technological innovation. Environmental Challenges, 7(4), 100467.
Hao, Y., Wu, Y. R., Wu, H. T., & Ren, S. Y. (2020). How do FDI and technical innovation affect environmental quality? Evidence from China. Environmental Science and Pollution Research, 27, 7835–7850.
Hong, J., Feng, B., Wu, Y., & Wang, K. L. (2016). Do government grants promote innovation efficiency in China’s high-tech industries? Technovation, 57–58, 4–13.
Honjo, K. (1996). R&D for technology to solve global warming. Journal of Materials Processing Technology, 59(3), 218–220.
Hu, Y. Y., & Gu, X. (2015). Research on the adjustment effect of innovation environment and economic openness on regional sci-tech innovation output. Statistics and Decision, 2, 64–67.
Kang, K. N., & Park, H. (2012). Influence of government R&D support and inter-firm collaborations on innovation in Korean biotechnology SMEs. Technovation, 32(1), 68–78.
Kapoor, R., & Lim, K. (2007). The impact of acquisitions on the productivity of inventors at semiconductor firms: A synthesis of knowledge-based and incentive-based perspectives. Academy of Management Journal, 50(5), 1133–1155.
Karimi, A., Shirmardi, M., Hadei, M., et al. (2019). Concentrations and health effects of short- and long-term exposure to PM2.5, NO2, and O3 in ambient air of Ahvaz city, Iran (2014–2017). Ecotoxicology and Environmental Safety, 180(9), 542–548.
Levinson, A. (2009). Technology, international trade, and pollution from US manufacturing. American Economic Review, 99(5), 2177–2192.
Li, W., Wang, J., Chen, R. X., Xia, Y. Q., Liu, S. Q., Wu, F. M., Masoud, M., & Wu, X. P. (2019). Innovation-driven industrial green development: The moderating role of regional factors. Journal of Cleaner Production, 222(6), 344–354.
Liang, Q. (2019). FDI, fiscal decentralization and regional technological innovation. East China Economic Management, 33(5), 43–49.
Lin, S. F., Cai, S. C., Sun, J., Wang, S. Y., & Zhao, D. T. (2019). Influencing mechanism and achievement of manufacturing transformation and upgrading: Empirical analysis based on PLS-SEM model. Journal of Manufacturing Technology Management, 30(1), 213–232.
Lin, S. F., Xiao, L., & Wang, X. J. (2021). Does air pollution hinder technological innovation in China? Journal of Cleaner Production, 278(1), 123326.
Luo, N. S., Xu, M. Y., & Wang, Y. Z. (2019a). Does air pollution affect business innovation? Economic Review, 215(1), 19–32.
Luo, Y. G., Yang, J. Y., & Chen, S. Q. (2019b). Air pollution, human capital flow and innovative vitality: Evidence from individual patent inventions. China Industrial Economy, 10, 99–117.
National Bureau of Statistics of China. (2021). National statistical database. Beijing, China. http://www.stats.gov.cn/tjsj/ndsj/2021/indexch.htm
Pu, S., Shao, Z., Fang, M., Yang, L., Liu, R., Bi, J., & Ma, Z. (2019). Spatial distribution of the public’s risk perception for air pollution: A nationwide study in China. Science of the Total Environment, 655, 454–462.
Qin, Y., & Zhu, H. (2017). Run away? Air pollution and emigration interests in China. Journal of Population Economics, 31(1), 1–32.
Rotton, J. (1983). Affective and cognitive consequences of malodorous pollution. Basic and Applied Social Psychology, 4(2), 171–191.
Samaniego, R. M., & Sun, J. Y. (2016). Productivity growth and structural transformation. Review of Economic Dynamics, 21, 266–285.
Shao, Y. C., & Xiao, C. R. (2019). Corporate tax policy and heterogeneous firm innovation: Evidence from a developing country. Journal of Comparative Economics, 2, 470–486.
Siami, N., & Winter, R. A. (2021). Jevons’ paradox revisited: implications for climate change. Economics Letters, 206(9), 109955.
Souitaris, V. (2002). Technological trajectories as moderators of firm-level determinants of innovation. Research Policy, 31(6), 877–898.
Su, H. N., & Moaniba, I. M. (2017). Does innovation respond to climate change? Empirical evidence from patents and greenhouse gas emissions. Technological Forecasting and Social Change, 122, 49–62.
Tan, Z. D., & Yan, L. N. (2021). Does air pollution impede corporate innovation? International Review of Economics and Finance, 76(11), 937–951.
De Vries, F. P., Withagen, C. A. M. (2005). Innovation and environmental stringency: The case of sulfur dioxide abatement. CentER discussion paper Series No. 2005–18. Available at SSRN: https://ssrn.com/abstract=670158
Wang, C., Liao, H., Pan, S.-Y., Zhao, L.-T., & Wei, Y.-M. (2014). The fluctuations of China’s energy intensity: Biased technical change. Applied Energy, 135, 407–414.
Wang, F., & Wu, M. (2021). Does air pollution affect the accumulation of technological innovative human capital? Empirical evidence from China and India. Journal of Cleaner Production, 285(2), 124818.
Wang, K. L., Miao, Z., Zhao, M. S., Miao, C. L., & Wang, Q. W. (2019). China’s provincial total-factor air pollution emission efficiency evaluation, dynamic evolution and influencing factors. Ecological Indicators, 107(12), 105578.
Wang, W. D., Li, Y. Y., Lu, N., Wang, D., Jiang, H. L., & Zhang, C. J. (2020). Does increasing carbon emissions lead to accelerated eco-innovation? Empirical evidence from China. Journal of Cleaner Production, 251, 119690.
Wang, X. L., Zhang, T. Y., Nathwani, J., Yang, F. M., & Shao, Q. L. (2022). Environmental regulation, technology innovation, and low carbon development: Revisiting the EKC hypothesis, porter hypothesis, and Jevons’ paradox in china’s iron & steel industry. Technological Forecasting and Social Change, 176(3), 121.
Wei, D., & Feng, C. (2021). The impact of air pollution on regional technological innovation: Evidence based on big data of patent authorization. South China Journal of Economics, 8, 112–134.
Wendling, Z. A., Emerson, J. W., de Sherbinin, A., Esty, D. C., et al. (2020). 2020 Environmental performance index. New Haven, CT: Yale Center for Environmental Law & Policy. https://epi.yale.edu/
Xu, X., & Sylwester, K. (2016). Environmental quality and international migration. Kyklos, 69(1), 157–180.
Xu, J. Z., Wang, M. M., & Guan, J. (2019). Influencing mechanism of carbon emissions from energy consumption and green innovation efficiency at a perspective of dynamic endogenous: Empirical analysis based on Chinese equipment manufacturing industry. Management Review, 31(9), 81–93.
Yao, D. M., Ning, J., & Wei, S. Y. (2017). How does the population aging affect technology innovation? The Journal of World Economy, 40(4), 105–128.
Zaman, K. (2018). The impact of hydro-biofuel-wind energy consumption on environmental cost of doing business in a panel of BRICS countries: Evidence from three-stage least squares estimator. Environmental Science and Pollution Research, 25, 4479–4490.
Zhao, M., Tan, L. R., Zhang, W. G., Ji, M. H., Liu, Y. A., & Yu, L. Z. (2010). Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method. Energy, 35(6), 2505–2510.
Zhu, Y. F., Wang, Z. L., Yang, J., & Zhu, L. L. (2020). Does renewable energy technological innovation control China’s air pollution? A spatial analysis. Journal of Cleaner Production, 250(3), 119515.
Acknowledgements
This work was supported by the National Social Science Fund of China under Grant [No.20BJL139] and Natural Science Foundation of Fujian Province [No.2021J01175]. New Author-I agree to the proposed new authorship shown in Section 4 and the addition of my name to the authorship list.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Lin, S., Xie, Y., Wang, Z. et al. Air pollution and technological innovation in China: a two-way dynamic perspective. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-024-04535-3
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10668-024-04535-3