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Environmental regulation, R&D investment, and green technology innovation in China: Based on the PVAR model

Author

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  • Yueting Zhang
  • Huaichao Chen
  • Zhimin He

Abstract

The unreasonable economic development model of human beings has caused the environmental pollution problem to become increasingly serious. In order to achieve a positive relationship and interaction between environmental regulation, research and development (R&D) investment, and green technology innovation, and effectively solve the “strange circle” problem between high-quality economic development and environmental pollution in China and even the world, this paper takes the panel data of industrial enterprises above designated size in Chinese mainland 31 provinces from 2009 to 2019 as a research sample. The comprehensive index of R&D investment and green technology innovation was established by the entropy method, and the panel vector autoregressive (PVAR) model was constructed from the dynamic endogenous perspective, and the dynamic interaction and regional heterogeneity between environmental regulation, R&D investment, and green technology innovation were empirically analyzed by using impulse response function and variance decomposition. We obtain the following findings: (1) Environmental regulation has a two-way interaction relationship with R&D investment and green technology innovation, and R&D investment has a promotion effect on the “green degree” of technological innovation, but its role is still weak and has lagging characteristics. (2) There is significant regional heterogeneity in the dynamic responses of the eastern, central and western parts of China. (3) In the long run, environmental regulation has a “negative crowding out effect” on R&D investment in the central region, and the phenomenon of “central collapse” still exists but will gradually weaken. Environmental regulation has a “positive innovation compensation effect” on green technology innovation. Green technology innovation and R&D investment have an obvious “Pareto improvement” effect on environmental regulation, especially in the eastern region. The conclusions of this study help to clarify the dynamic interaction between environmental regulation, R&D investment, and green technology innovation, further improve environmental regulatory policies and green technology innovation R&D decision-making, and provide an effective way to achieve green and sustainable development in China and other parts of the world.

Suggested Citation

  • Yueting Zhang & Huaichao Chen & Zhimin He, 2022. "Environmental regulation, R&D investment, and green technology innovation in China: Based on the PVAR model," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-21, October.
  • Handle: RePEc:plo:pone00:0275498
    DOI: 10.1371/journal.pone.0275498
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    1. Yuanhong Hu & Sheng Sun & Yixin Dai, 2021. "Environmental regulation, green innovation, and international competitiveness of manufacturing enterprises in China: From the perspective of heterogeneous regulatory tools," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-28, March.
    2. Rubashkina, Yana & Galeotti, Marzio & Verdolini, Elena, 2015. "Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors," Energy Policy, Elsevier, vol. 83(C), pages 288-300.
    3. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    4. 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).
    5. Yang, Qiuyue & Gao, Da & Song, Deyong & Li, Yi, 2021. "Environmental regulation, pollution reduction and green innovation: The case of the Chinese Water Ecological Civilization City Pilot policy," Economic Systems, Elsevier, vol. 45(4).
    6. Sahar Milani, 2017. "The Impact of Environmental Policy Stringency on Industrial R&D Conditional on Pollution Intensity and Relocation Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 595-620, November.
    7. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    8. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    9. Arlette Jappe, 2007. "Explaining international collaboration in global environmental change research," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 367-390, June.
    10. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    11. repec:fth:harver:1532 is not listed on IDEAS
    12. Sharif, Arshian & Baris-Tuzemen, Ozge & Uzuner, Gizem & Ozturk, Ilhan & Sinha, Avik, 2020. "Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: Evidence from Quantile ARDL approach," MPRA Paper 100044, University Library of Munich, Germany.
    13. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    14. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    15. Zhang, Zixuan & Chen, Huaichao, 2022. "Dynamic interaction of renewable energy technological innovation, environmental regulation intensity and carbon pressure: Evidence from China," Renewable Energy, Elsevier, vol. 192(C), pages 420-430.
    16. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    17. Yang, Kun & Wang, Wan & Xiong, Wan, 2021. "Promoting the sustainable development of infrastructure projects through responsible innovation: An evolutionary game analysis," Utilities Policy, Elsevier, vol. 70(C).
    18. Park, Walter G., 1998. "A theoretical model of government research and growth," Journal of Economic Behavior & Organization, Elsevier, vol. 34(1), pages 69-85, January.
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    1. Liuliu Lai & Yanjun Chang, 2023. "Do China’s pilot free trade zones promote green dual-circulation development? Based on the DID model," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-22, March.
    2. Huangfu, Jianhua & Wei, Weixian & Yu, Lei & Li, Guoliang, 2025. "The impact of environmental policy stringency and oil prices on innovation: Evidence from the new energy vehicle industry in China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 979-996.

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