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Clean Technologies and Environmental Policy

, Volume 21, Issue 9, pp 1739–1749 | Cite as

Do the coupling effects of environmental regulation and R&D subsidies work in the development of green innovation? Empirical evidence from China

  • Sumin HuEmail author
  • Shulin Liu
Original Paper
  • 69 Downloads

Abstract

Global environmental problems will require the development of new technologies. How will green technology-related public policy affect this process? By exploiting an economic assessing model of green technical innovation efficiency, this paper examines the impact of two different environmental policies (environmental regulation and government subsidy) and their interaction on green technical innovation. The analysis was conducted by collecting innovation-related data on 30 provinces in China over the period 2006–2016. It was found that there are dramatic regional differences in green innovation efficiency in China. The average efficiency in the eastern region is about 0.8, followed by the western region, the central region and the north-eastern region, with 0.4, 0.2 and 0.2, respectively. During the sample period, there was a statistically significant effect of the coupling of the two policy instruments on the innovative efficiency of green technology of China, which is − 0.01. Regulatory policies have a remarkable incentive influence on the performance of green innovation in the central region (0.5) but a restraining effect on the eastern region (− 0.9). R&D subsidies play an essential role in inducing green technology only in the central region (0.2). The paper concludes that both regulative policy and governmental subsidies have failed to achieve the goal of promoting green innovation development in China.

Graphic abstract

These two figures show the average regional efficiency of the two types of innovation with or without environment-related factors using innovation-related data on a panel of 30 provinces in China over the period 2006–2016.

Keywords

Environmental regulation R&D subsidy Green innovative efficiency China’s provinces 

Notes

Acknowledgements

We would like to acknowledge support from Prof. Qian Yu and Dr. Haoqiang Wu for their comments on earlier drafts of this paper, as well as seminar participants at Wuhan University of Technology during the initial writing of this paper. And our special thanks to Mr. Rui Lin for his company and assisting in collecting panel data.

References

  1. Aghion P, Akcigit U, Deaton A, Roulet A (2016) Creative destruction and subjective well-being. Am Econ Rev 106(12):3869CrossRefGoogle Scholar
  2. Cai W, Zhou X (2017) Dual effects of China’s environmental regulation on green total factor productivity. Economist 9:27–35 (in Chinese) Google Scholar
  3. Calel R (2018) Adopt or innovate: understanding technological responses to cap-and-trade. CESifo working paper 6847Google Scholar
  4. Calel R, Dechezleprêtre A (2016) Environmental policy and directed technological change: evidence from the European carbon market. Rev Econ Stat 98:173–191CrossRefGoogle Scholar
  5. Canter U, Graf H, Herrmann J, Kalthaus M (2016) Inventor networks in renewable energies: the influence of the policy mix in Germany. Res Policy 45:1164–1184Google Scholar
  6. Charnes A, Cooper WW (1962) On some works of Kantorovich, Koopmans and others. Manag Sci 8(3):246–263CrossRefGoogle Scholar
  7. Chen S (2010) Win win in energy saving and emission reduction and China’s industry. Econ Study 3(3):41–55 (in Chinese) Google Scholar
  8. Chen XH, Zeng XY, Wang F (2016) The impact of carbon trading price on carbon emissions in supply chain under carbon cap trading mechanism. Syst Eng Theory Pract 36(10):2562–2571 (in Chinese) Google Scholar
  9. Cole M, Elliott R, Okubo T (2010) Trade, environmental regulations and industrial mobility: an indutry-level study for Japan. Ecol Econ 69(10):1995–2002CrossRefGoogle Scholar
  10. Fan Q, Zhang T (2018) Research on environmental regulation policy and pollution control mechanism in China’s economic growth path. World Econ 8:170–191 (in Chinese) Google Scholar
  11. Franco C, Marin G (2017) The effect of within-sector, upstream and downstream environmental taxes on innovation and productivity. Environ Resour Econ 66:261–291CrossRefGoogle Scholar
  12. Gao XW, Yan HB (2018) Comparison of subsidies policies for new energy industry: R&D subsidies, production subsidies or consumption subsidies. Popul Resour Environ 214(06):33–43 (in Chinese) Google Scholar
  13. Kemp R, Pontoglio S (2011) The innovation effects of environmental policy instruments—a typical case of the blind men and elephant. Ecol Econ 72(1):28–36CrossRefGoogle Scholar
  14. Lanjouw JO, Mody A (1996) Innovation and the international diffusion of environmental responsive technology. Res Policy 25(4):549–571CrossRefGoogle Scholar
  15. Li B, Cao W (2017) The impact of environmental regulation on the performance of circular economy in China: from the perspective of ecological innovation. Soft Sci China 6:140–154 (in Chinese) Google Scholar
  16. Li K, Lin B (2016) Impact of energy conservation policies on the green productivity in China’s manufacturing sector: evidence from a three-stage DEA model. Appl Energy 168:351–363CrossRefGoogle Scholar
  17. Pakes A, Griliches Z (1984) Patents and R&D at the firm level: a first report. Econ Lett 5(4):377–381CrossRefGoogle Scholar
  18. Palmer K, Oates WE, Portney PR (1995) Tightening environmental standards. The benefit-cost or the no-cost paradigm? J Econ Perspect 9(4):112–132CrossRefGoogle Scholar
  19. Pavel C, Chirantan C (2017) Does environmental regulation indirectly induce upstream innovation? New evidence from India. Res Policy 46:939–955CrossRefGoogle Scholar
  20. Ren SM, Zhang J (2013) Subsidies, rent-seeking costs and additional rates: an empirical study of China’s equipment manufacturing enterprises. J Manag World 10:118–129 (in Chinese) Google Scholar
  21. Shao M, Bao Q (2012) Government subsidies and enterprise productivity: an empirical analysis based on China’s industrial enterprises. China’s Ind Econ 7:70–82 (in Chinese) Google Scholar
  22. Sun Y, Lu Y, Wang T (2007) Spatial discrepancy in patent-based innovation of environmental technologies. Chin J Environ Eng 3:123–129 (in Chinese) Google Scholar
  23. Tone KA (2001) Slacks-based measure of efficiency in data envelopment analysis. Eur J Oper Res 130:498–509CrossRefGoogle Scholar
  24. Wang Y, Shen N (2016) Environmental regulation and environmental productivity: the case of China. Renew Sustain Energy Rev 62:758–766CrossRefGoogle Scholar
  25. Wang Y, Sun X (2017) The mechanism of government subsidies driving industrial transformation and upgrading. China’s Ind Econ 10:99–117 (in Chinese) Google Scholar
  26. Wang B, Wu Y, Yan P (2010) Environmental efficiency and environmental total factor productivity growth in China’s regional economies. Econ Res J 5:96–110 (in Chinese) Google Scholar
  27. Wu J, Hu J (2018) Environmental regulation, industrial structure adjustment and green economic growth: an empirical test based on China’s provincial panel data. Explor Econ Issues 3:7–17 (in Chinese) Google Scholar
  28. Xu SC, Zhang WW (2016) Effects of carbon tax on China’s economy and emission reduction under different return scenarios—a simulation analysis based on dynamic CGE. Popul Resour Environ China 26(12):46–54 (in Chinese) Google Scholar
  29. Yan F, Su L, Qiao J (2011) Investigation on the relationship between industrial agglomeration development and environmental pollution. Sci Res 1:79–83 (in Chinese) Google Scholar
  30. Zhang C (2011) Environmental regulation on China’s industrial technical innovation. Econ Manag 46:113–124 (in Chinese) Google Scholar
  31. Zhang K, Yang F (2009) International practice and enlightenment of carbon tax. Tax Res 4:88–90 (in Chinese) Google Scholar
  32. Zhou Y, Pu Y, Chen S, Fang F (2015) Government support and new industrial development: taking new energy as an example. Econ Res J 6:147–161 (in Chinese) Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of EconomicsWuhan University of TechnologyWuhanChina

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