Abstract
This paper aims to investigate the effect of environmental regulations on inward foreign direct investment in China. For this purpose, a panel threshold model was constructed to assess the threshold effects of environmental regulations on the influx of foreign direct investments (FDI) . The findings indicate that, under the influence of human capital, the impact of environmental regulations on FDI in China was characterized by a V-shaped curve, indicating an initial inhibitory effect followed by a subsequent increase. A plausible explanation is that specific pollution-generating FDI must withdraw from China because of stringent environmental regulations before human capital reaches a certain threshold level. Meanwhile, impaired by the adverse selection effect, some cleaner-production FDI cannot easily enter China. As a result, environmental regulations in this stage have an inhibitory effect on FDI in China. However, part of the pollution-generating FDI is converted into cleaner production after the human capital level reaches the threshold limit. Further, due to the positive selection effect, additional cleaner-production FDI can also enter China from different destinations. At this stage, environmental regulations boost overall FDI entering China.
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Data availability
The data that support the findings of the study is available from the corresponding author upon reasonable request.
Notes
When human capital reaches a certain level, clean-type FDI enterprises will have the technical foundation to realize their comparative advantages and subsequently choose to enter the host country. The effect of attracting clean-type FDI into the host country is termed the "positive selection effect" in this paper.
Three major indicators and methods for measuring the strength of environmental regulations are the pollutant control cost indicator, the positive indicator, and the reverse indicator. The use of pollutant control cost indicator in the analysis may lead to a more significant measure of the strength of environmental regulations for some provinces (cities) that have made fewer investments in environmental governance. As such, the measurement results for this indicator of environmental regulation strength may be biased. On the contrary, the positive indicator method can better reflect the strength of environmental regulations and the changes in various provinces (cities); however, the original statistical data required for this calculation have not been updated on a yearly basis. Unlike the two methods mentioned above, the reverse indicator method indirectly reflects the intensity and effect of environmental pollution governance from the perspective of pollutant emission, so it is one of the ideal standards for measuring the strength of environmental regulation.
Clean-type FDI enterprises are generally knowledge-intensive enterprises, which can quickly adapt to strong environmental regulations, but they will be restrained by low-level human capital of the host country. When the human capital accumulation of the host country is not adequate, clean-type FDI enterprises will have difficulty realizing their comparative advantages and subsequently decide not to enter the host country. The adverse effect of attracting clean-type FDI into the host country is called as adverse selection effect in this paper.
Clean-type FDI enterprises are generally knowledge-intensive enterprises, which can easily adapt to strong environmental regulations, but they will be restrained by the low level of the human capital of the host country. When human capital accumulation in the host country is not adequate, clean-type FDI enterprises will have difficulty realizing their comparative advantages and subsequently decide not to enter the host country. The adverse effect of attracting clean-type FDI into the host country is referred to as the adverse selection effect in this paper.
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Funding
National Statistical Research Project “A Statistical Study on the Threshold Effect of Environmental Regulation on Technological Innovation and Energy Use Efficiency’’ (Project No. :2020LZ37).
“Research on the Nonlinear Impact of Environmental Regulation on High-quality Economic Development”, Major Philosophical and Social Science Basic Research Project of Henan Provincial Universities (Project No. :2021-JCZD-23).
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Tingbo Guo, investigation, supervision, data pre-processing, conceptualization, writing-review and editing; Bowen Zheng, formal analysis, writing-review, and editing; Muhammad Abdul Kamal, writing-review and editing.
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Guo, T., Zheng, B. & Kamal, M.A. Have environmental regulations restrained FDI in China? New evidence from a panel threshold model. Environ Sci Pollut Res 30, 39733–39749 (2023). https://doi.org/10.1007/s11356-022-24841-5
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DOI: https://doi.org/10.1007/s11356-022-24841-5