Global digital divide and environmental degradation in Africa.

ICTs and access to Internet use are considered vital for the achievement of sustainable development goals. So, this study explored the effect of the global digital divide, trade openness, renewable energy consumption, and forestation on greenhouse gas (GHG) emissions in 42 high-income countries (HICs) and high-middle-income (HMICs), low-income countries (LICs), and low-middle-income countries (LMICs) of Africa from 1990 to 2018. TheDumitrescu-Hurlin causality results confirmed a unidirectional causality from GHG emissions to the global digital divide (HICs and HMICs), global digital divide to GHG emissions (LICs), and GHG emission to trade openness (LICs and LMICs).

The impact of geopolitical risk, governance, technological innovations, energy use, and foreign direct investment on CO emissions in the BRICS region.

Geopolitical risk (GPR) and other social indicators have raised many somber environmental-related issues among government environmentalists, and policy analysts. To further elucidate whether or not these indicators influence the environmental quality, this study investigates the impact of GPR, corruption, and governance on environmental degradation proxies by carbon emissions (CO) in BRICS (Brazil, Russia, India, China, and South Africa) countries, namely Brazil, Russia, India, China, and South Africa, using data over the period 1990 to 2018. The cross-sectional autoregressive distributed lag (CS-ARDL), fully modified ordinary least square (FMOLS), and dynamic ordinary least square (DOLS) methods are used for empirical analysis.

Modeling financial development, tourism, energy consumption, and environmental quality: Is there any discrepancy between developing and developed countries?

The main purpose of this study is to explore the dynamic association between financial development, tourism, primary and renewable energy utilization, urbanization, and carbon emission by employing the longitudinal data of 52 countries from 1995 to 2017. Empirical results of panel pooled mean group-autoregressive distributive lag (PMG-ARDL) model reveal that financial development significantly improves the environmental quality in developed countries. However, it has a detrimental but insignificant effect on the environment in developing countries.

Synergy between adaptations and resilience of livelihood from climate change vulnerability: A group-wise comparison of adapters and non-adapters.

The similarities, differences, and contradictions regarding climate change adaptation and resilience by academics and practitioners have already been documented. It is the need of time to set new precedence by observing the adaptations and resilience as tools to respond to the climate variations. This study analyzed the influence of climate change adaptations and synergy between resilience from livelihood vulnerability and adaptations.

The role of financial development, tourism, and energy utilization in environmental deficit: evidence from 20 highest emitting economies.

This study establishes a long-run relationship between ecological footprint, financial development, energy utilization, and tourism in 20 highest emitting economies under the environmental Kuznets curve (EKC) framework by utilizing the longitudinal data covering the period from 1995 to 2017. In the procedure of panel data estimation, conventional methodologies usually overlook the problem of cross-sectional dependence and heterogeneity across cross-sections. The other concern linked to the published literature is that only a small number of studies have estimated the effect of financial development and tourism on the environment in the presence of EKC framework simultaneously, even though these sectors have potentially substantial impact on environmental quality.

An empirical nexus between economic growth, energy utilization, trade policy, and ecological footprint: a continent-wise comparison in upper-middle-income countries.

This study investigates the causal connection between economic growth, foreign direct investment, primary and renewable energy utilization, trade openness, and ecological footprint for 33 upper-middle-income countries (UMICs) from Africa, Asia, Europe, and America during the period from 1994 to 2017. Initially, first- as well as second-generation panel unit root tests are applied to check the integration order after confirming the cross-sectional dependency and heterogeneity. Four different tests (FMOLS, DOLS, FGLS, and AMG) are applied to estimate the long-run elasticity, whereas Dumitrescu and Hurlin (D-H) non-causality test is used to test growth, conservation, and feedback hypothesis.