Decomposing the South African CO2 emissions within a BRICS countries context: Signalling potential energy rebound effects

Inglesi‐Lotz, Roula

doi:10.1016/j.energy.2017.12.150

Cited by 52 publications

(13 citation statements)

References 34 publications

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“…Also, Kohler (2013) utilises South African trade and energy data to show that higher trade openness supports South Africa's environment. In contrast, empirical evidence by Mapapu & Phiri (2018) and Inglesi-Lotz (2018) shows that openness has no effect on South Africa's environmental quality.…”

Section: Literature Reviewmentioning

confidence: 89%

“…For South Africa's case, empirical evidence is also conflicting and largely mixed Menyah & Wolde-Rufael, 2010;Kohler, 2013;Shahbaz, Tiwari & Nasir, 2013c;Zerbo, 2015;Zerbo, 2017;Khobai & Le Roux, 2017;Hasson & Masih, 2017;Mapapu and Phiri, 2018;Inglesi-Lotz, 2018). The recent study by reveals that, in the long run, openness to international goods markets contributes to deteriorate the environment of South Africa, although there is strong evidence that trade openness can contribute to improve the country's environment in the short run.…”

Section: Literature Reviewmentioning

confidence: 99%

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A step Towards Environmental Mitigation In South Africa: Does Trade Liberalisation Really Matter? Fresh Evidence From A Novel Dynamic ARDL Simulations Approach

Udeagha

Ngepah

2021

Preprint

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This study revisits the trade-CO2 emissions nexus for South Africa over the period 1960–2016. Our strategy is distinctively different from previous works in the following dimensions: we employ the recently developed novel dynamic autoregressive distributed lag (ARDL) simulations framework to examine the negative and positive changes in trade openness, technological innovation, industrial growth, energy consumption, foreign direct investment, technique effect, and scale effect on CO2 emissions. Second, we use an innovative measure of trade openness developed by Squalli and Wilson (2011) to capture trade share in GDP as well as size of trade relative to world trade for South Africa. Third, we use the frequency domain causality (FDC) approach, the robust testing strategy suggested by Breitung & Candelon (2006) which enables us to explore permanent causality for medium, short and long-term relationships among variables under review. Fourth, we employ the second-generation econometric procedures accounting robustly the multiple structural breaks which have been considerably ignored in earlier studies. For South Africa, we find that: (i) higher trade openness is strikingly injurious to the environment in the long run, although it is environmentally friendly in the short run; (ii) the scale effect increases CO2 emissions whereas the technique effect improves it, validating the presence of an environmental Kuznets curve (EKC) hypothesis; (iii) energy consumption, foreign direct investment and industrial value-added deteriorate environmental quality; (iv) technological innovation contributes to lower CO2 emissions; (v) the pollution haven hypothesis (PHH) exists; (vi) InSE, InTE, InOPEN, InEC, InFDI, InTECH and InIGDP Granger-cause InCO2 in the medium, long and short run suggesting that these variables are important to influence CO2 emissions. In light of our empirical evidence, this paper suggests that the international teamwork to lessen carbon emissions is immensely critical to solve the growing trans-boundary environmental decay and other associated spillover consequences.JEL Classifications: F18, F13, Q56; O13; F1; F41

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Section: Literature Reviewmentioning

confidence: 89%

Section: Literature Reviewmentioning

confidence: 99%

A step Towards Environmental Mitigation In South Africa: Does Trade Liberalisation Really Matter? Fresh Evidence From A Novel Dynamic ARDL Simulations Approach

Udeagha

Ngepah

2021

Preprint

View full text Add to dashboard Cite

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“…Using the quantile-on-quantile technique, Mallick et al ( 2019 ) find that the poor do not contribute to carbon emissions in the case of BRICS member-states from 1980 to 2014. Alike, Inglesi-Lotz ( 2018 ) uses a non-parametric procedure on the study of BRICS member-states from 1990 to 2014 and finds that carbon emission is reduced with changes in energy and carbon intensity. This outcome is similar to Mahalik et al ( 2018 ) who find that, except for Brazil, coal consumption drives carbon emission in BRICS member-states from 1980 to 2013.…”

Section: Review Of Extant Literaturementioning

confidence: 99%

Does globalization and energy usage influence carbon emissions in South Asia? An empirical revisit of the debate

Adeleye

Akam

Inuwa

et al. 2022

Environ Sci Pollut Res

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The 2030 United Nations Sustainable Development Goal (SDG) 13 agenda hinges on attaining a sustainable environment with the need to “take urgent action to combat climate change and its impacts”. Hence, this study empirically revisits the debate on the effect of nonrenewable energy and globalization on carbon emissions within the framework of the Kuznets hypothesis using an unbalanced panel data from seven South Asian countries (Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka) covering 1980–2019. The variables of interest are carbon emissions measured in metric tons per capita, energy use measured as kg of oil equivalent per capita, and globalization index. To address five main objectives, we deploy four techniques: panel-corrected standard errors (PCSE), feasible generalized least squares (FGLS), quantile regression (QR), and fully modified ordinary least squares (FMOLS). For the most part, the findings reveal that the (1) inverted U-shaped energy-Kuznets curve holds; (2) U-shaped globalization-Kuznets curve is evident; (3) inverted U-shaped turning points for nonrenewable energy are 496.03 and 640.84, while for globalization are 38.83 and 39.04, respectively; (4) globalization-emission relationship indicates a U-shaped relationship at the median and 75th quantile; and (5) inverted U-shaped energy-Kuznets holds in Pakistan but a U-shaped nexus prevails in Nepal and Sri Lanka; inverted U-shaped globalization-Kuznets holds in Bangladesh and Sri Lanka, but U-shaped nexus is evident in Bhutan, Maldives, and Nepal. Deductively, our results show that South Asia countries (at early stage of development) are faced with the hazardous substance that deteriorates human health. Moreover, the non-linear square term of the nonrenewable energy-emissions relationship is negative, which validates the inverted U-shaped EKC theory. Overall, the effect of energy and globalization on carbon emissions is opposite while the consistency at the 75th quantile result indicates that countries with intense globalization are prone to environmental degradation.

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“…Another study by Inglesi-Lotz (2018) that sought to test the hypothesis of ''rebound effect'' or ''Take back effect'' in South Africa from 1990-2014, by studying the drivers of changes in CO2 emission levels and drawing comparisons to BRICS countries, discovered by the decomposition approach that CO2 intensity and energy intensity had no impact on the changes on CO2 emissions levels on all the nations. In other words, as energy intensity decreases, CO2 increases.…”

Section: Figure 3 Energy Efficiency Estimation Methodsmentioning

confidence: 99%

What Drives Energy Efficiency in Africa? Insights from 12 Selected Countries Using Incremental Decomposition Analysis

Alemzero

Sun

2021

Preprint

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This paper examines why Africa, and Sub-Saharan Africa (SSA) in particular, has some of the worse energy efficiency indicators in the world. It examines the relationship between total primary energy supply (TPES), final energy consumption, and transmission and distribution (T&D) losses on the continent. We apply the Sun-Shaley incremental decomposition method of logarithmic mean divisia index (LMDI to twelve (12) African countries using data from 2000 to 2016 to decompose TPES into the effects of changes in final energy consumption (FEC), population change (POP), carbon dioxide (CO2) emissions, and economic activity measured by gross domestic product (GDP), and their impact on energy efficiency. The method provides a precise decomposition analysis and incremental results that can be added to study the long-run impacts without any information missing in between. The findings show that the study countries have worsening energy efficiency indicators with energy intensity (EI) as high as 55%, coupled with an inefficient transformation of primary energy supply to final consumption, culminating in significant systems losses. It was further discovered that countries that have more significant proportions of renewables sources in their energy mix have lower transmission and distribution losses. This study serves as a guide to the policy discourse regarding the energy efficiency situation in Africa.

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Decomposing the South African CO2 emissions within a BRICS countries context: Signalling potential energy rebound effects

Cited by 52 publications

References 34 publications

A step Towards Environmental Mitigation In South Africa: Does Trade Liberalisation Really Matter? Fresh Evidence From A Novel Dynamic ARDL Simulations Approach

A step Towards Environmental Mitigation In South Africa: Does Trade Liberalisation Really Matter? Fresh Evidence From A Novel Dynamic ARDL Simulations Approach

Does globalization and energy usage influence carbon emissions in South Asia? An empirical revisit of the debate

What Drives Energy Efficiency in Africa? Insights from 12 Selected Countries Using Incremental Decomposition Analysis

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