The green economy and inequality in Sub-Saharan Africa: Avoidable thresholds and thresholds for complementary policies

Asongu, Simplice A.; Odhiambo, Nicholas M.

doi:10.1177/0144598720984226

Cited by 26 publications

(25 citation statements)

References 64 publications

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“…The income inequality variables, namely the Gini coefficient, the Atkinson index and the Palma ratio were obtained from the Global Consumption and Income Project (GCIP). Based on the extant literature, i) the Gini coefficient indicates wealth distribution across the population, ii) the Atkinson index determines which end of the distribution mostly contributes to the observed inequality, and iii) the Palma ratio shows the ratio income share of the top 10% to that of the bottom 40% (see Asongu and Odhiambo, 2020d;Odhiambo, 2020;Meniago and Asongu, 2018;Tchamyou et al, 2019a). Political stability, which is the first control variable, has been obtained from the World Governance Indicators.…”

Section: Datamentioning

confidence: 99%

Information technology, income inequality and economic growth in sub-Saharan African countries

Odhiambo

2022

Telecommunications Policy

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Section: Datamentioning

confidence: 99%

Information technology, income inequality and economic growth in sub-Saharan African countries

Odhiambo

2022

Telecommunications Policy

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“…In the case of studying energy consumption, an energy Lorentz curve is a sorted distribution of the cumulative percentage on the horizontal axis and the cumulative percentage of energy consumption distributed along the vertical axis [41]. There have been a large number of studies that measure inequality through the Lorenz curve and Gini coefficient and have obtained meaningful results [42][43][44][45]. However, only a few ever used these approaches to calculate energy-consumption differences at a household level.…”

Section: Gini Coefficient and Lorentz Curvementioning

confidence: 99%

Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis

Yang

Zhao

et al. 2021

Energies

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With the rapid progress of socio-economic development and urbanization in China, a wide variety of literature has focused on the phenomenon of energy-consumption disparity, which in turn could be related to numerous fundamental energy dilemmas that China must deal with now or soon, including energy use inefficiency, regional energy shortage, insufficient use of green energy, etc. However, in most cases, only a tendency scenario is discussed, while identifying which factors are more likely to affect the improvement of energy supply/use has not yet been fully explored. Therefore, this paper attempts to explore differences in energy consumption in specific, household-level aspects. Based on the information provided by Chinese General Social Survey (CGSS2015), the Gini coefficient and the Lorentz asymmetry coefficient are used to measure the difference among various categories of energy type and end use within and between different geographical sub-groups. The findings show that: (1) household energy-consumption behaviors exhibit a complicated effect on the overall level of energy-consumption difference; (2) from the supply side, energy users show the most significant difference in biomass energy consumption, while from the demand side, the contribution of space heating to the difference in total energy consumption is the highest; (3) a great urban–rural difference in energy consumption is generally observed with its difference within rural areas being much greater than in urban areas; (4) the eastern, middle and western regions weight differently in explaining the overall difference of energy consumption. These findings provide meaningful materials and references for policymakers in China to understand the overall situation of individual energy consumption to a great extent, and to locate key points to reform the current energy policy framework.

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“…iii. REC -The share of total final energy consumption-complementary policy variable (Asongu & Odhiambo, 2021;S. A. Asongu & Vo, 2020).…”

Section: Datamentioning

confidence: 99%

Emission policy thresholds for energy consumption on economic growth in MINT and BRICS countries

Abdulqadir¹

2022

Preprint

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The article explores the nexuses between carbon dioxide (CO2) emissions, economic growth, renewable energy consumption, and trade openness in the fast-growing MINT (Mexico, Indonesia, Nigeria, and Turkiye) and BRICS (Brazil, Russia, India, China, and South Africa) economies for the period 1990–2019. The study utilized threshold regression to provide a policy threshold on carbon emission metrics tons per capita of 0.96, 0.36, for the fast-growth emerging markets. The study also provides complementary thresholds for renewable energy consumption and trade policies. The novelty of the study is in the light of the contemporary literature that stems from the premised on providing the policymakers in the fast-growing economies with avoidable policy thresholds for CO2 emission along with the complementary thresholds on renewable energy consumption, and trade policies in the nexus between green growth and environmental degradation.

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The green economy and inequality in Sub-Saharan Africa: Avoidable thresholds and thresholds for complementary policies

Cited by 26 publications

References 64 publications

Information technology, income inequality and economic growth in sub-Saharan African countries

Information technology, income inequality and economic growth in sub-Saharan African countries

Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis

Emission policy thresholds for energy consumption on economic growth in MINT and BRICS countries

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