This study examines the impact of diaspora income on the ecological footprint of 22 countries African countries. Methodologically, we used the Driscoll-Kraay (1998) fixed-effect model, fixed effect instrumental variable regression, Machado and Silva (2019) panel quantile regression, and Dumitrescu and Hurlin (2012) causality test. There are four main important findings from this empirical study: (1) diaspora income has a negative and statistical impact on ecological degradation, (2) financial development plays a crucial role in mitigating the environmental impact of diaspora income, and African countries must achieve an annual estimated threshold of financial development before they could reap the environmental quality impact of diaspora income, (3) the role of financial development in reducing the environmental degradation impact of diaspora income is less for higher polluting countries in Africa, (4) unidirectional causality from diaspora income to ecological footprint. In ensuring a sustainable environment, we recommend that African governments provide a tax credit to the recipient of the diaspora income who invests in environment-friendly technologies.
Using a sample of 193 countries from 2010 to 2019, this study investigates the impact of institutional quality index (IQI) and information and communication technology (ICT) on inclusive growth. The study engaged the panel spatial correlation consistent (PSCC-FE), instrumental variable-generalized method of moments (IV-GMM), and simultaneous quantile regressions (SQREG) models to assess if the impact differs by economic development (high-, low-, lower-middle- and upper-middle-income countries). The following findings emerge. The effect of IQI is positive across all models from the full sample, while that of ICT is heterogeneous, with mobile phones having a significant positive impact. The interaction effect is observed to be sensitive to the choice of ICT indicator. From the sub-samples, both IQI, ICT and their interaction show significant heterogeneous effect with consistent positive (negative interaction) outcomes in high-income countries. Thus, our findings strongly suggest that policymakers should prioritize institutional quality and ICT to ensure that economic growth translates into better living conditions for people in other income groups.
This study examines the spatial impact of FDI on the poverty of 44 African countries. In achieving this, the study uses the Driscoll–Kraay fixed effect instrumental variable regression, the instrumental variable generalized method of moments estimator (IV-GMM), and the spatial Durbin model. The empirical investigation of this study yielded four significant findings: (1) neighboring countries’ FDIs have a positive and significant impact on the incidence and intensity of the host country’s poverty, (2) improved institutional quality in neighboring countries has a significant impact on the FDI–poverty reduction nexus of the host country, (3) the empirical results lend support for a significant spatial spillover of poverty in the region, (4) the marginal effect results indicate that countries within the region are no longer in isolation or independent, i.e., the level of poverty in a particular country is influenced by its determinants in the neighboring country. This result is robust to the alternative proximity matrix, which is the inverse distance. Since there is spatial interdependence among African countries, we recommend that African governments, through the African Union (AU), should not only champion the institutional reform in the region, but also establish a binding mechanism to ensure reform implementation.
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