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Does diversified environmental regulation effect the foreign direct investment inflows and technological innovation? A three‐stage least square approach

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  • Lingcai Liu
  • Dongbei Bai
  • Shah Fahad
  • Ilhan Ozturk

Abstract

Foreign direct investment (FDI) inflows have been significantly impacted by environmental regulation (ER). This study is aiming at analyzing the ER effect on the FDI inflows. By using the data of 2008–2018, we use Three‐stages least square (3SLS) method to assess the connection between FDI inflows and ER. The study results reveal that in Chinese industries, technological innovation (TI) is stipulated by the ER, and as a result, FDI has been engrossed. The results further reveal that TI has been enhanced by capital penetration, and a positive effect is perceived between TI and FDI. The findings of our study also show that there is a significant association between foreign capital (FC) inflows and TI, which indicates that technological policies are effective and advanced environmental policies would intensify the relevant policies between firms. Based on the study outcomes, this research proposes some policy suggestions for constructing a attuned policy system of environmental protection and FDI by regulating the implementation of conforming strategies.

Suggested Citation

  • Lingcai Liu & Dongbei Bai & Shah Fahad & Ilhan Ozturk, 2024. "Does diversified environmental regulation effect the foreign direct investment inflows and technological innovation? A three‐stage least square approach," Growth and Change, Wiley Blackwell, vol. 55(2), June.
    • Handle: RePEc:bla:growch:v:55:y:2024:i:2:n:e12715
    DOI: 10.1111/grow.12715
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    1. Chen, Bin, 2015. "Modeling and testing smooth structural changes with endogenous regressors," Journal of Econometrics, Elsevier, vol. 185(1), pages 196-215.
    2. Akisik, Orhan & Gal, Graham & Mangaliso, Mzamo P., 2020. "IFRS, FDI, economic growth and human development: The experience of Anglophone and Francophone African countries," Emerging Markets Review, Elsevier, vol. 45(C).
    3. Molinos-Senante, María & Maziotis, Alexandros & Sala-Garrido, Ramón, 2014. "The Luenberger productivity indicator in the water industry: An empirical analysis for England and Wales," Utilities Policy, Elsevier, vol. 30(C), pages 18-28.
    4. 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.
    5. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    6. List, John A. & Gallet, Craig A., 1999. "The environmental Kuznets curve: does one size fit all?," Ecological Economics, Elsevier, vol. 31(3), pages 409-423, December.
    7. Xueli Wang & Caizhi Sun & Song Wang & Zhixiong Zhang & Wei Zou, 2018. "Going Green or Going Away? A Spatial Empirical Examination of the Relationship between Environmental Regulations, Biased Technological Progress, and Green Total Factor Productivity," IJERPH, MDPI, vol. 15(9), pages 1-23, September.
    8. K Tone, 2002. "A strange case of the cost and allocative efficiencies in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1225-1231, November.
    9. Khuda Bakhsh & Sobia Rose & Muhammad Faisal Ali & Najid Ahmad & Muhammad Shahbaz, 2017. "Economic growth, CO2 emissions, renewable waste and FDI relation in Pakistan: New evidences from 3SLS," Post-Print hal-02000433, HAL.
    10. Fozia Latif Gill & K Kuperan Viswanathan & Mohd Zaini Abdul Karim, 2018. "The Critical Review of the Pollution Haven Hypothesis (PHH)," International Journal of Energy Economics and Policy, Econjournals, vol. 8(1), pages 167-174.
    11. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
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