This study aims to empirically verify the effects of natural resource rents on inclusive human development in developing countries. The results from the IV Tobit regression show that natural resource rents have a positive direct effect on inclusive human development in developing countries and that this relationship varies by regional groupings, income levels, level of development and export structure. Looking at the transmission mechanisms, when the interactive variables of governance and environmental quality is introduced, the modulating channel through governance exerts a robust negative synergy effect in the sample of developing countries and positive synergy effects for Africa and low-income countries. When the interactive variable of CO2 emissions is introduced for Africa, a negative net effect of natural resource rents on inclusive human development is obtained. This was up to a policy threshold of 25.4412 of CO2 emissions when the negative effect is nullified. For Asia and the Latin America and Caribbean, a positive net effect is obtained. This is up to a CO2 emissions threshold of 29.038 and 3.6752 respectively, when the positive effect is nullified. Besides, the high income and the upper-middle income countries produce a negative net effect of resource rents on inclusive human development through CO2 modulation, with up to positive CO2 emission thresholds of 37.9365 and 23.6257 respectively. Policy implications are highlighted. In summary, contingent on engaged specificities, where conditional effects are negative, negative thresholds for complementary policies have been provided and in scenarios where conditional impacts are positive, actionable positive thresholds have been provided.

The objectives of this paper are to verify the linear and the non-linear effects of infrastructural development on inclusive human development in Africa. The results of the system GMM estimations show a positive effect of infrastructural development on inclusive development across all the infrastructural development indexes employed, except the ICT infrastructural composite index which presents an insignificant negative effect. Besides, a non-linear effect of infrastructures on inclusive development was established across all the infrastructure indicators except for the ICT indicator. Negative thresholds for complementary policies are established for the African Infrastructure Development Index (AIDI) and the transport index while positive thresholds are apparent for the electricity index and the water and sanitation infrastructure index (WSS). Accordingly, in order to sustain the positive incidence of the AIDI and transport index on human development, complementary policies should be engaged to avoid an overall negative effect on human development when the indexes are respectively, 31.12% and 25.56%. In the same vein, the electricity index and WSSI should exceed critical levels of respectively 49.79% and 41.92%, to engender an overall positive effect on inclusive human development.

The objectives of this paper are to investigate the effect of ICT on sustainable development and the mechanisms through which the effect is modulated. The methodology involves the: (i) Fixed Effects estimator to control for individual heterogeneity, (ii) Driscoll and Kraay estimator to control for cross-section dependence between panels, (iii) the Mean Group estimator to take into account the averages between panel groups, (iv) the system GMM to correct for unobserved heterogeneity and simultaneity bias and (v) the instrumental variable Fixed Effects Tobit to take in to account the limited range in our dependent variable. The results show that ICT has a positive and significant effect on sustainable development.Whereas overall net effects are positive, the findings are contingent on the choice of the ICT measurement, the geographical location of the economy and the income group category. The study recommends policy makers to take into account ICT and the advantages it offers in the elaboration of measures for the sustainable development agenda.

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