Examining the effect of information and communication technology, innovations, and renewable energy consumption on CO2 emission: evidence from BRICS countries

Khan, Hayat; Weili, Liu; Khan, Itbar

doi:10.1007/s11356-022-19283-y

Cited by 74 publications

(32 citation statements)

References 44 publications

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“…These findings were supported by Ref. 45 , who also studied the ICT-emissions nexus for BRICS and found that ICTs improve environmental quality. Ref.…”

Section: Ict and Carbon Emissions Nexussupporting

confidence: 58%

The impact of information and communication technology (ICT) on carbon dioxide emissions: Evidence from heterogeneous ICT countries

Appiah-Otoo

Acheampong

Song

et al. 2022

Energy & Environment

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Climate change remains one of the world’s significant threats today, and thus Sustainable Development Goal (SDG) 13 prioritizes countries to reduce global greenhouse gas emissions and mitigate climate change by 2030. Recent studies have scrutinized the impact of Information and Communications Technologies (ICTs) on the environment. However, the majority of these studies assumed that the environmental impact of ICT is homogenous across countries. This study, therefore, investigated the impact of ICT on environmental degradation, considering the difference in ICT quality among countries. Applying a panel dataset of 110 countries between 2000 to 2018 and the instrumental variable generalized method of moments (IV-GMM) technique, the findings revealed that ICTs improve environmental sustainability in countries with high ICT quality while degrading the environment in countries with moderate and low ICT quality. The results of the causality analysis also showed bi-directional causality between ICT and carbon emissions in countries with high and moderate ICT quality, while there is a uni-directional causality running from carbon emissions to ICT in countries with low ICT quality. Policies that enhance ICT usage through low pricing were recommended for moderate and low ICT quality countries to help mitigate environmental degradation.

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“…These findings were supported by Ref. 45 , who also studied the ICT-emissions nexus for BRICS and found that ICTs improve environmental quality. Ref.…”

Section: Ict and Carbon Emissions Nexussupporting

confidence: 58%

The impact of information and communication technology (ICT) on carbon dioxide emissions: Evidence from heterogeneous ICT countries

Appiah-Otoo

Acheampong

Song

et al. 2022

Energy & Environment

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“…ICT reduces CE in middle and high-income economies, whereas ICT upsurges the CE in low-income economies. Khan et al (2022) used four proxies for ICT while examining its effect on carbon emissions in BRICS countries. They found that two proxies, cellular mobiles and fixed broadband, significantly decrease CO 2 emissions; however, the other two proxies, Internet use and fixed telephone, have an insignificant influence on carbon emissions in their selected sample countries.…”

Section: Literature Reviewmentioning

confidence: 99%

The dynamic effect of information and communication technology and renewable energy on CO2 emission: Fresh evidence from panel quantile regression

Wen

Shabbir

Haseeb

et al. 2022

Front. Environ. Sci.

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Over the last few years, the rapid growth of information and communication technologies (ICT) has contributed to every sector of the economy; however, the environmental consequences of ICT should not be overlooked. In doing so, this research investigated the asymmetric impact of ICT, renewable energy consumption (RENE), economic growth (GDP), financial development (FD), and population (POP) on CO2 emissions (CE) in the MINT countries over the period from 1990 to 2018. For this purpose, this study used STIRPAT and quantile regression. The preliminary outcomes reject the assumption of data normality; therefore, it is very necessary to use the quantile regression (QR), as the QR technique can deal with structural changes, outliers, and data non-normality. The results of QR indicate that ICT reduce carbon emissions across all the quantiles (1st quantile to 9th quantile). Similarly, RENE impedes the carbon emissions across all (1st–9th) quantiles. On the other hand, FD, GDP, and POP increase the carbon emissions across all the quantiles (1st–9th). These outcomes purposed appropriate policy implications for MINT countries.

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“…‘Energy-saving generation scheduling (EU1)’ includes three tertiary indicators: ‘Unit start-stop loss (EU11)’, ‘Replacement electricity income (EU12)’, and ‘Fixed cost compensation (EU13)’ [ 46 , 47 ]. ‘Power conversion (EU2)’ includes 3 tertiary indicators: ‘The conversion rate of thermal power fuel (EU21)’, ‘Power generation conversion effect (EU22)’ and ‘Power consumption intensity (EU23)’, [ 48 , 49 ].…”

Section: Methodsmentioning

confidence: 99%

Influencing Factors and Realization Path of Power Decarbonization—Based on Panel Data Analysis of 30 Provinces in China from 2011 to 2019

Ren

Zhang

Fan

2022

IJERPH

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2011–2019 was the critical period of the low-carbon transformation of the power industry, reflecting the deepening influence of market mechanisms. Decarbonization of the new power system is a systematic project that needs to strengthen the top-level design and overall planning. Therefore, the paper first evaluates the decarbonization of the existing power system and controls the grid architecture, power structure, energy utilization, supply chain, and trading market to further optimize the system by strengthening the basic theoretical research of the new power system, exploring the key elements of the low-carbon development of the power system, promoting the breakthrough of the key subjects, and formulating the new power system decarbonization path. In the international push for carbon neutrality goals, identifying key factors in the decarbonization of the power system is critical to achieving low-carbon development in the power sector. Combined with the characteristics and development trends of the power industry, the five dimensions of “Power generation decarbonization (SP)”, “Energy utilization efficiency (EU)”, “Supply chain decarbonization (SC)”, and “Power grid decarbonization (PG)”, and “the Trading system (TS)” are selected to construct an evaluation index system for the power decarbonization and identify the key factors. The Analytic Network Process (ANP) Method is used to calculate the index weight and measure the decarbonization level of the power industry in 30 provinces in China from 2011 to 2019. The evaluation results reveal that the overall decarbonization level of the power industry is on the rise and has stabilized after peaking in 2016. The regression results of the systematic GMM estimation show that “the intensity of cross-regional transmission”, “the degree of carbon market participation”, “technology innovation”, and “policy support” can significantly promote power decarbonization, and different regions have heterogeneity. Therefore, we propose to achieve technological innovation and upgrading in the eastern region, strengthen the construction of smart grids in the central region, optimize the power structure in the western region, and improve the market mechanism as a whole, to form a low-carbon development path for the power industry.

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Examining the effect of information and communication technology, innovations, and renewable energy consumption on CO2 emission: evidence from BRICS countries

Cited by 74 publications

References 44 publications

The impact of information and communication technology (ICT) on carbon dioxide emissions: Evidence from heterogeneous ICT countries

The impact of information and communication technology (ICT) on carbon dioxide emissions: Evidence from heterogeneous ICT countries

The dynamic effect of information and communication technology and renewable energy on CO2 emission: Fresh evidence from panel quantile regression

Influencing Factors and Realization Path of Power Decarbonization—Based on Panel Data Analysis of 30 Provinces in China from 2011 to 2019

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