Income inequality, human capital, natural resource abundance, and ecological footprint in ECOWAS member countries

Langnel, Zechariah; Amegavi, George Babington; Donkor, Prince; Mensah, James Kwame

doi:10.1016/j.resourpol.2021.102255

Cited by 84 publications

(25 citation statements)

References 52 publications

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“…Despite the fact that green energy has the potential to reduce environmental pollution through green production and increase economic productivity, African economic activities have not moved towards green energy. It is noteworthy that the findings of this study agree with those presented by Langnel et al (2021), Dada et al (2021b).…”

Section: Resultssupporting

confidence: 93%

“…According to their respective studies, income inequality contributes to a reduction in environmental quality by increasing environmental degradation. Nevertheless, the results from the upper quantile are in accordance with those of Grunewald et al (2017), Hübler (2017), Chen et al (2020) and Langnel et al (2021). Wolde-Rufael and Idowu (2017) support the middle quantile of the non-significant impact of income inequality on environmental degradation.…”

Section: Resultssupporting

confidence: 67%

“…However, the nascent empirical research on the joint impact of the shadow economy and income inequality on environmental sustainability allows us to extend the frontier of empirical knowledge. Prior studies have examined the nexus between income inequality and environment (Chen et al, 2020b;Langnel et al, 2021) or the link between the shadow economy and environmental quality (Biswas et al, 2012;Dada et al, 2022aDada et al, , 2022b) without looking at the interactions among the three variables. Also, majority of these studies used carbon dioxide emissions as a proxy for environmental degradation which measures only air pollution.…”

Section: Introductionmentioning

confidence: 99%

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Income inequality, shadow economy and environmental degradation in Africa: quantile regression via moment’s approach

Dada

Ajide

Arnaut

2023

IJDI

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Purpose The purpose of this examine the impact of income inequality and shadow economy on environmental degradation given the growing income inequality, shadow economy and ecological degradation in developing countries. Thus, this study is motivated to offer empirical insight into how income inequality and shadow economy influence the environment in African countries. Design/methodology/approach Data from 29 countries in Africa between 2000 and 2017 were used, while the novel method of moments quantile regression of Machado and Silva (2019) and Dumitrescu and Hurlin (D-H) (2012) granger causality is used as the estimation techniques. Findings The results established the presence of cross-sectional dependence and slope heterogeneity in the panel, while Westerlund panel cointegration confirmed the long-run cointegration among the variables. The results from the quantile regression suggest that income inequality increases environmental degradation from the 5th to the 30th quantiles, while from the 70th quantiles, income inequality reduces ecological degradation. The shadow economy negatively influences environmental degradation across the quantiles, strengthening environmental quality. Per capita income (economic growth) and financial development positively impact environmental degradation throughout the quantiles. However, urbanization reduces environmental degradation from 60th to 95th quantiles. The D-H causality established a two-way relationship between income inequality and environmental degradation, while one-way from shadow economy, per capita income and urbanization to environmental degradation were established. Originality/value This study provides fresh insights into the nexus between shadow economy and environmental quality in the presence of higher levels of income inequality for the case of African region. The study applies quantile analysis via moment proposed by Machado and Silva (2019). This technique shows that the impact of income inequality and shadow economy on environmental degradation is heterogeneous across the quantiles of ecological footprints in Africa.

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Section: Resultssupporting

confidence: 93%

Section: Resultssupporting

confidence: 67%

Section: Introductionmentioning

confidence: 99%

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Income inequality, shadow economy and environmental degradation in Africa: quantile regression via moment’s approach

Dada

Ajide

Arnaut

2023

IJDI

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“…Under this perspective, it has become an imperative research query whether income inequalities influence environmental degradation. Within this context, researchers aim to search the impact of income inequalities dynamics on indicators of the environment such as air pollution, water pollution, ecological deficit, and CO2 emissions and added new dimensions to the literature [ 23 ]. Although several studies have been done on this area, but no empirical and theoretical consensus has been gained yet.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Does Income Inequality Harm Green Growth? The BRICS Experience

Chen

Tang

2022

Journal of Environmental and Public Health

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Green growth plays a vital role in ensuring sustainable development. Managing economic growth without disrupting the environment is considered the need of the present time. Therefore, the empirics have turned their attention toward finding the determinants of green growth. Hence, we aim to investigate the impact of income inequality on green growth in BRICS economies from 1993 to 2020. Findings of the panel autoregressive distributed lag (ARDL) model confirm that the long-run estimate attached to GINI is negatively significant, implying that higher inequality in the BRICS economies lowers the rate of green growth. The country-wise results highlighted the negative impact of GINI on green growth in India and China only and insignificant in other countries. In the short run, the estimates are inconclusive and mixed, be it group-wise or individual estimates. Our findings imply that the target of lower inequality and environmental sustainability can be achieved simultaneously.

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“…e regulating role of human capital is more significant. For example, Langnel et al [22] verified that human capital can effectively reduce ecological pressure, promoting sustainable economic development. Moreover, based on the theory of disruptive innovation and the theory of industrial structure, the development of digital economy must be based on breaking the traditional industrial structure development model.…”

Section: E Role Of Human Capital In Moderating and Resholding The Rel...mentioning

confidence: 99%

Does Digital Economy Contribute to Regional Carbon Productivity? Evidence of China

Pang

2022

Mathematical Problems in Engineering

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With breakthroughs in big data, communication networks, artificial intelligence, and other next-generation information technologies, intelligent production methods and digital lifestyles have risen rapidly. Digital economy has become a significant force in promoting regional low-carbon development as a new economic form in the important period of the intersection of digitalization and “carbon peaking and carbon neutrality goals.” This paper empirically explores the moderating role and threshold role of human capital in digital economy and regional carbon productivity by systematically measuring digital economy indicators. Research shows that China’s digital economy development index is rising annually. However, the development of digital economy varies significantly between different regions. The results of moderating effect showed that human capital accumulation could dramatically strengthen the role of digital economy in promoting regional carbon productivity. The results of the threshold effect showed that human capital plays an important threshold role in the relationship between digital economy and regional carbon productivity. This paper provides a practical reference for exploring power sources, policy design, and path selection of low-carbon development.

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Income inequality, human capital, natural resource abundance, and ecological footprint in ECOWAS member countries

Cited by 84 publications

References 52 publications

Income inequality, shadow economy and environmental degradation in Africa: quantile regression via moment’s approach

Income inequality, shadow economy and environmental degradation in Africa: quantile regression via moment’s approach

[Retracted] Does Income Inequality Harm Green Growth? The BRICS Experience

Does Digital Economy Contribute to Regional Carbon Productivity? Evidence of China

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