Endorsing sustainable development in BRICS: The role of technological innovation, renewable energy consumption, and natural resources in limiting carbon emission

Adebayo, Tomiwa Sunday; Ullah, Sami; Kartal, Mustafa Tevfik; Ali, Kishwar; Pata, Uğur Korkut; Ağa, Mehmet

doi:10.1016/j.scitotenv.2022.160181

Cited by 303 publications

(75 citation statements)

References 69 publications

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“…The energy demand in the BRICS-T nations has increased considerably over the last decades, which several reasons, such as the level of population, urbanization, and industrialization can explain. However, many policymakers and environmental scholars have highlighted this economic progress's adverse effect on these nations' environmental quality 8 , 9 . In this regard, the BRICS-T states are ranked among high-polluting economies, particularly China, India, Turkey, and Russia, among the top ten polluting economies in the world.…”

Section: Introductionmentioning

confidence: 99%

Insights from BRICS-T economies on the impact of human capital and renewable electricity consumption on environmental quality

Samour

Adebayo

Agyekum

et al. 2023

Sci Rep

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This paper evaluates the impact of electricity consumption from renewable and nonrenewable sources on the load capacity factor for BRICS-T nations using data from 1990 to 2018. The paper used linear and nonlinear autoregressive distributed lag (ARDL) approaches to explore these associations. The results of the Westerlund co-integration show long-run co-integration between load capacity factor and the independent variables. The results show that renewable electricity energy and human capital contribute to the sustainability of the environment, while electricity consumption, economic growth, and industrialization impede environmental sustainability. Similarly, the nonlinear effect of renewable electricity energy on LCF shows interesting findings. The positive (negative) shift in renewable electricity energy increases ecological sustainability in the BRICS-T nations. Furthermore, the Dumitrescu Hurlin panel causality gives credence to both linear and nonlinear ARDL results. The study suggests policy recommendations based on these results.

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Section: Introductionmentioning

confidence: 99%

Insights from BRICS-T economies on the impact of human capital and renewable electricity consumption on environmental quality

Samour

Adebayo

Agyekum

et al. 2023

Sci Rep

Self Cite

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“…Employing second-generation panel estimation techniques, in conjunction with the Driscoll-Kraay robust estimator, the findings support the notion that GDP growth and non-renewable energy degrades environmental quality. Adebayo et al ( 2023a ) applied the CS-ARDL technique to analyze the complex relationship among technological innovation, use of renewable energy sources, natural resources, and CO 2 e in the context of BRICS countries during the period 1990 to 2019. The findings discovered that natural resources, renewable energy consumption, and technological innovation increases environmental sustainability by reducing CO 2 e both in the short- and long-runs.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the interrelationship among health status, CO2 emissions, and energy use in the top 20 highest emitting economies: based on the CS-DL and CS-ARDL approaches

Sohail

Jin-feng

Abbasi

2023

Air Qual Atmos Health

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Carbon dioxide emissions (CO 2 e) which is caused by energy use contributes to the global average surface temperature increase by 1.5 °C as compared to the mid-1800s which is causing a certain change in the climate and becoming an adverse effect on health and economy. The relationship between health status, CO 2 e, and energy use has yet to be thoroughly investigated in the top 20 highest emitting economies. The data from 2000 to 2019 is analyzed by using advanced techniques of cross-sectional augmented distributed lag (CS-DL) and cross-sectional augmented autoregressive distributed lag (CS-ARDL) which take into consideration crucial elements of panel data, namely dynamics, heterogeneity, and cross-sectional dependence. Moreover, cross-sectional augmented error correction method (CS-ECM) and the common dynamic process of the augmented mean group (AMG) are applied for robustness checks. The empirical findings revealed that (i) CO 2 e weakens the health status only in the short-run, whereas health expenditure improves the health status in the both short- and long-runs, while economic growth is not contributing to the health status in the both short- and long-runs; (ii) health expenditure and economic growth only help to mitigate CO 2 e in the long-run, whereas energy use causes CO 2 e in the both short- and long-runs; (iii) energy use causes high economic growth in the both short- and long-runs, whereas CO 2 e aids economic growth in the short-run but is extremely damaging to economic growth in the long-run, while in the both short- and long-runs health expenditure is not aiding the economic growth. This study provides policy recommendations on improving human health by advocating massive health expenditures, CO 2 e easing, promoting renewable energy use or low-emission energy, and steering the economy toward green economic growth. Graphical abstract

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“…It is hypothesized that the importer of renewable energy can affect CO 2 emissions in developing economies in several ways. Firstly, the increased availability of renewable energy sources can reduce the amount of energy derived from burning fossil fuels, which is the primary source of CO 2 emissions in the majority of developing countries (Adebayo et al 2023 ; Caglar and Askin 2023 ; Li 2023 ; Karaaslan and Camkaya 2022 ). Secondly, the introduction of renewable energy sources can help to reduce the cost of energy, making it more affordable for individuals and businesses in developing countries, which in turn reduces the amount of energy consumed and reduces related CO 2 emissions (Li et al 2023 ; Zhang et al 2023 ; Yan et al 2023a ; Razzaq et al 2023 ).…”

Section: Introductionmentioning

confidence: 99%

“…Secondly, the introduction of renewable energy sources can help to reduce the cost of energy, making it more affordable for individuals and businesses in developing countries, which in turn reduces the amount of energy consumed and reduces related CO 2 emissions (Li et al 2023 ; Zhang et al 2023 ; Yan et al 2023a ; Razzaq et al 2023 ). Finally, the increased use of renewable energy sources can help to create jobs (Candra et al 2023 ; Hanna et al 2023 ; Wang et al 2023 ) and stimulate economic growth in developing countries, which can also help to reduce CO 2 emissions (Sadiq et al 2023 ; Nahrin et al 2023 ; Adebayo et al 2023 ; Mukhtarov et al 2023 ). Therefore, the use of renewable energy is important in combating CO 2 emissions in energy-importing emerging economies.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, in energy-importing developing economies, energy prices have a significant impact on CO 2 emissions. In general, when energy prices increase, the cost of energy production is higher, and the demand for energy decreases, leading to lower CO 2 emissions (Adebayo et al 2023 ; Lei et al 2023 ; Mukhtarov et al 2023 ). On the other hand, when energy prices decrease, the cost of energy production is lower, and the demand for energy increases, leading to higher CO 2 emissions (Rasheed et al 2022 ; Borzuei et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The effect of energy prices, energy losses, and renewable energy use on CO2 emissions in energy-importing developing economies in the presence of an environmental Kuznets curve

NAİMOĞLU

2023

Environ Sci Pollut Res

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In this study, energy losses, energy prices, and the relationship between green energy and environmental quality are investigated for 15 energy-importing emerging economies. In addition, the validity of the environmental Kuznets curve is tested in this study. Autoregressive Distributed Lag (ARDL) approach based on panel dataset, related intermediate estimators including PMG, MG, and DFE were used as a method. In addition, FMOLS and DOLS estimators were used for robustness testing in the study. According to empirical findings, the environmental Kuznets curve is valid in energy-importing emerging economies. In addition, green energy use and energy prices have a reducing effect on CO 2 emissions. However, energy losses increase CO 2 emissions. While the long-term results of the variables were similar, the short-term results were mixed. This situation is attributed to different economic growths in energy-importing developing economies, the share of energy resources in total energy resources, and energy-efficient technologies in the energy field. The fact that these variables have never been investigated for this economy group makes the study different. Graphical Abstract

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Endorsing sustainable development in BRICS: The role of technological innovation, renewable energy consumption, and natural resources in limiting carbon emission

Cited by 303 publications

References 69 publications

Insights from BRICS-T economies on the impact of human capital and renewable electricity consumption on environmental quality

Insights from BRICS-T economies on the impact of human capital and renewable electricity consumption on environmental quality

Exploring the interrelationship among health status, CO2 emissions, and energy use in the top 20 highest emitting economies: based on the CS-DL and CS-ARDL approaches

The effect of energy prices, energy losses, and renewable energy use on CO2 emissions in energy-importing developing economies in the presence of an environmental Kuznets curve

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