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The impact of foreign direct investment on green innovation efficiency: Evidence from Chinese provinces

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  • Shen Zhong
  • Zhicheng Zhou
  • Hongjun Jing

Abstract

Improving green innovation efficiency (GIE) is the key to achieve high-quality economic development in China, and the introduction of foreign direct investment (FDI) has become an important path choice to promote the GIE. Based on the data of 30 provinces in China, this paper explores the linear and nonlinear effects of FDI on GIE from both quantity and quality perspectives, and further analyzes the mediating role of environmental regulation level. The results show that: (1) From 2011 to 2020, the GIE of all provinces in China generally shows an upward trend. (2) The quantity and quality of FDI have a significant positive impact on the improvement of GIE in China’s provinces, and this impact has regional heterogeneity. (3) The quantity and quality of FDI can promote the improvement of GIE in China through the level of environmental regulation (ER). (4) With the level of knowledge accumulation and GIE as the threshold variables, the quantity and quality of FDI have a single threshold effect on the GIE of China’s provinces. The conclusions of this study provide some policy implications for local governments to make full use of FDI to perform green innovation activities.

Suggested Citation

  • Shen Zhong & Zhicheng Zhou & Hongjun Jing, 2024. "The impact of foreign direct investment on green innovation efficiency: Evidence from Chinese provinces," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-29, February.
  • Handle: RePEc:plo:pone00:0298455
    DOI: 10.1371/journal.pone.0298455
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    as
    1. Mengzhi Xu & Jixia Li & Zeyu Ping & Qianming Zhang & Tengfei Liu & Can Zhang & Huachun Wang, 2022. "Can Local Government’s Attention Allocated to Green Innovation Improve the Green Innovation Efficiency?—Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    2. Bingtao Qin & Yulu Gai & Liming Ge & Pengbo Sun & Yongwei Yu & Yi Zheng, 2022. "FDI, Technology Spillovers, and Green Innovation: Theoretical Analysis and Evidence from China," Energies, MDPI, vol. 15(20), pages 1-25, October.
    3. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    4. Song, Wenfei & Han, Xianfeng, 2022. "The bilateral effects of foreign direct investment on green innovation efficiency: Evidence from 30 Chinese provinces," Energy, Elsevier, vol. 261(PB).
    5. Miao, Cheng-lin & Duan, Meng-meng & Zuo, Yang & Wu, Xin-yu, 2021. "Spatial heterogeneity and evolution trend of regional green innovation efficiency--an empirical study based on panel data of industrial enterprises in China's provinces," Energy Policy, Elsevier, vol. 156(C).
    6. Eskeland, Gunnar S. & Harrison, Ann E., 2003. "Moving to greener pastures? Multinationals and the pollution haven hypothesis," Journal of Development Economics, Elsevier, vol. 70(1), pages 1-23, February.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    9. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    10. Beata Smarzynska Javorcik, 2004. "Does Foreign Direct Investment Increase the Productivity of Domestic Firms? In Search of Spillovers Through Backward Linkages," American Economic Review, American Economic Association, vol. 94(3), pages 605-627, June.
    11. Li, Kanyong, 2023. "Can resource endowment and industrial structure drive green innovation efficiency in the context of COP 26?," Resources Policy, Elsevier, vol. 82(C).
    12. Wang, Yun & Sun, Xiaohua & Guo, Xu, 2019. "Environmental regulation and green productivity growth: Empirical evidence on the Porter Hypothesis from OECD industrial sectors," Energy Policy, Elsevier, vol. 132(C), pages 611-619.
    13. Tao Xue & Tong Zhu & Yixuan Zheng & Qiang Zhang, 2019. "Author Correction: Declines in mental health associated with air pollution and temperature variability in China," Nature Communications, Nature, vol. 10(1), pages 1-1, December.
    14. Junguo Shi & Hubert Visas & Jabbar Ul-Haq & Shujaat Abbas & Sana Khanum, 2023. "Investigating the impact of export product diversification on environmental degradation: evidence from Chinese Provinces," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11455-11486, October.
    15. Ming Yi & Yiqian Wang & Modan Yan & Lina Fu & Yao Zhang, 2020. "Government R&D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    16. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    17. Xiangbo Liu & Yu Luo & Zhigang Qiu & Ru Zhang, 2014. "FDI and Economic Development: Evidence from China’s Regional Growth," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(S6), pages 87-106, November.
    18. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    19. Zhijun Feng & Bo Zeng & Qian Ming, 2018. "Environmental Regulation, Two-Way Foreign Direct Investment, and Green Innovation Efficiency in China’s Manufacturing Industry," IJERPH, MDPI, vol. 15(10), pages 1-22, October.
    20. S C Ray, 2008. "The directional distance function and measurement of super-efficiency: an application to airlines data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 788-797, June.
    21. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    22. Liang, Feng Helen, 2017. "Does foreign direct investment improve the productivity of domestic firms? Technology spillovers, industry linkages, and firm capabilities," Research Policy, Elsevier, vol. 46(1), pages 138-159.
    23. Fare, Rolf, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    24. Fei Liu & Ting Nan & Xinliang Wang, 2022. "Causes and Evolution Characteristics of Green Innovation Efficiency Loss: The Perspective of Factor Mismatch under Local Government Competition," Sustainability, MDPI, vol. 14(14), pages 1-29, July.
    25. Tao Xue & Tong Zhu & Yixuan Zheng & Qiang Zhang, 2019. "Declines in mental health associated with air pollution and temperature variability in China," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    26. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    27. Jiangfeng Hu & Zhao Wang & Qinghua Huang & Xiaoqin Zhang, 2019. "Environmental Regulation Intensity, Foreign Direct Investment, and Green Technology Spillover—An Empirical Study," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
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    1. Feng Peng & Shuzhen Zhou, 2026. "Green innovation efficiency of polluting industries in China: the role of external technological sourcing," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-11, December.

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