Enhancing ICT for Environmental Sustainability in Sub-Saharan Africa

Abstract

This study examines how increasing ICT penetration in sub-Saharan Africa (SSA) can ICT can change the net effects from positive to negative are computed and discussed. These policy thresholds are the minimum levels of ICT required, for the effect of ICT on CO 2 emissions to be negative. Other practical implications for policy and theory are discussed.

Renewable Energy, Regulation, Employment and Environmental Sustainability in Sub-Saharan Africa

“…The implication of this for policy purposes is that strengthening and ensuring due process in public and private sector employment by the policymakers in term of qualification and profession will have a longrun positive impact in mitigating environmental degradation in sub-Saharan Africa. This interactive outcome is in agreement with the work of Asongu et al (2017b).…”

“…However, despite the potentials, renewable energy development like hydropower, solar, wind Vol.9, No.7, 2019 and biomass the study reveals that the potential has not been harnessed in sub-Saharan Africa. Asongu et al (2017b) deviate a bit from other literature by arguing that increasing ICT presence in sub-Saharan Africa can contribute to environmental quality by utilizing a generalized method of moments and a sample of 44 sub-Saharan Africa for a period of 2000 to 2012. They found that ICT does not significantly affect environmental quality but after interactive estimation increasing ICT has a net positive effect on environmental quality.…”

“…Recent studies on this area in Africa (see, Adewuyi and Awodumi, 2017;Sarkodie and Adams, 2018;Surroop and Raghoo, 2018) and particularly sub-Saharan Africa (see, Ozturk and Bilgili, 2015;Asongu et al,2017a;Asongu et al,2017b;Da-Silva et al, 2018;Asongu et al, 2018;Inglesi-lotz and Dogan, 2018) have emerged. For example, Adewuyi and Awodumi (2017) used a simultaneous equation to examine the link between biomass energy consumption, economic growth and carbon emissions in West African countries for a period of 1980 to 2010.…”

The role of globalization in modulating the effect of environmental degradation on inclusive human development

“…The present research takes the narrative in this strand on board by adopting carbon dioxide (CO 2 ) emissions variables as policy syndromes. This is essentially because CO 2 comprises about three-quarters of global greenhouse gas emissions (Akpan & Akpan, 2012;Asongu, le Roux & Biekpe, 2018). Moreover, according to McGrath (2018) and You and Lv (2018) and attendant literature, CO 2 emissions are at an all-time high and globalization (used in this research as a moderating variable) is a determining factor (Emir & Bekun, 2019;Saint Akadiri, Alola, Akadiri & Alola, 2019;Alola, Yalçiner, Alola & Saint Akadiri, 2019a;Alola, Bekun & Sarkodie, 2019b;Bekun & Agboola, 2019;Bekun & Akadiri, 2019;Bekun, Alola & Sarkodie, 2019a ;Bekun, Emir & Sarkodie, 2019b).…”

External flows and inclusive human development in Sub-Saharan Africa

“…2 Consistent with Asongu and Kodila-Tedika (2017), the strand maintains that the response of poverty to economic growth is a decreasing function of inequality because, the growth elasticity of poverty is lower than the inequality elasticity of poverty. For more insights: "The study finds that the responsiveness of poverty to income is a decreasing function of inequality" (Fosu, 2010b, p. 818); "The responsiveness of poverty to income is a decreasing function of inequality, and the inequality elasticity of poverty is actually larger than the income elasticity of poverty" (Fosu, 2010c(Fosu, , p. 1432; and "In general, high initial levels of inequality limit the effectiveness of growth in reducing poverty while growing inequality increases poverty directly for a given level of growth" (Fosu, 2011, p. 11). determinants of inclusive growth (Anand et al, 2013;Mlachila et al, 2017) 3 ; determinants and consequence of the middle class (Kodila-Tedika et al, 2016;Ncube et al, 2011;Shimeles & Ncube, 2015); the Azzimonti et al (2014) postulation of globalisation-induced inequality, theorized for developed countries and partially confirmed in African nations ; correlates of poverty (Anyanwu, 2014a, 2013a); gender inequality (Anyanwu, 2014a(Anyanwu, , 2013bElu & Loubert, 2013;Baliamoune-Lutz, 2007;Baliamoune-Lutz, & McGillivray, 2009); nexuses among knowledge economy, environmental degradation, business dynamics & inclusive human development (Asongu et al, 2014(Asongu et al, , 2018, inter alia.…”