Abstract
This paper studies whether foreign direct investment (FDI)-CO2 emissions relationship may change depending on the data-driven estimated threshold levels for the country characteristics (CC) including human capital and governance in a sample of 13 Middle East and North Africa (MENA) economies during the 1996–2019 period. Our results strongly suggest that endogenously estimated CC thresholds matter for the impact of FDI on CO2 emissions. The pollution haven hypothesis, which maintains that FDI is associated with higher levels of pollution, appears to be valid for economies with weak CC. In addition to this, the pollution halo argument suggesting FDI lowers the emissions appears to be hold in countries with strong CC. The results in this study may indicate that policies aiming to improve human capital and governance may be expected not only to increase the economic benefits of FDI in terms of growth but also mitigate the negative environmental impacts of FDI in the MENA region.
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Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Notes
The mean pollution level is much higher in oil-exporting countries. This may provide a support for the division of whole sample as oil-exporting and oil-importing countries.
According to World Bank (2020a), MENA countries tend to have an improvement in human capital, but it needs to be developed further. Dimitrova et al. (2020) remark that MENA economies include widespread heterogeneity in human capital. Our results suggest that investing and upgrading the level of human capital diminish the environmental degradation effect of FDI inflows.
In the Appendix, Table 6 reports that this effect is driven by control of corruption, regulatory quality, rule of law and government effectiveness.
According to World Bank report (2020b), MENA is among the worst performers in institutional quality and governance. Dimitrova et al. (2020) note that MENA economies contain widespread heterogeneity in governance indicators. Our results suggest that improvement in governance reduce the environmental impact of FDI inflows on pollution.
The first step of dynamic panel threshold procedure is to remove fixed effects by forward orthogonal deviation transformation. Then, a reduced form regression is obtained for the endogenous variables. By substituting the predicted values into Eq. (6), Hansen (1999) method is applied to find the threshold. Following the identification of threshold, we estimate slope parameters by employing the generalized method of moments procedure.
The principal component analysis retains the variations and linear combinations of the variables and reduces the dimension of the data. In the Appendix, Table 7 shows our panel fixed effects threshold estimation results by using the PC as the thresholding variable. The results in Table 7 are almost the same with our earlier findings.
The selection of thresholding variable that affects the sensitivity of pollution to FDI inflows have been determined based on the theory and literature. Accordingly, human capital and institutional quality and governance are crucially important variables that influence the foreign investment decisions of multinational companies. Trade openness, natural resource endowments, wages, and tax rates etc. can be considered the other variables that effect FDI inflows. The empirical investigation of whether these variables provide data-driven estimated thresholds for the sensitivity of pollution to FDI inflows is an encouraging research agenda for the forthcoming studies.
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We thank conference participants and Ahmed Ghoneim for their helpful comments and suggestions.
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This work was sponsored by the Economic Research Forum (ERF) and has benefited from both financial and intellectual support. The views expressed in this work are entirely those of the author(s) and should not be attributed to ERF, its Board of Trustees or donors.
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Fatma Taşdemir: conceptualization, methodology, investigation, writing—reviewing and editing.
Seda Ekmen Özçelik: conceptualization, methodology, investigation, writing—reviewing and editing.
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Taşdemir, F., Özçelik, S.E. Do human capital and governance thresholds matter for the environmental impact of FDI? The evidence from MENA countries. Environ Sci Pollut Res 30, 41741–41754 (2023). https://doi.org/10.1007/s11356-023-25188-1
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DOI: https://doi.org/10.1007/s11356-023-25188-1
Keywords
- Foreign direct investment
- CO2 emissions
- Human capital
- Governance
- Middle East and North Africa economies
- Panel threshold model