How does digital economy affect carbon emissions? Evidence from global 60 countries

The Science of The Total Environment, Год журнала: 2022, Номер 852, С. 158401 - 158401

Опубликована: Авг. 31, 2022

Язык: Английский

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Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak

Renewable and Sustainable Energy Reviews, Год журнала: 2023, Номер 178, С. 113247 - 113247

Опубликована: Март 16, 2023

Язык: Английский

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Greenhouse gas emissions and reduction strategies for the world's largest greenhouse gas emitters

The Science of The Total Environment, Год журнала: 2024, Номер 944, С. 173895 - 173895

Опубликована: Июнь 11, 2024

Язык: Английский

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Can official development assistance promote renewable energy in sub-Saharan Africa countries? A matter of institutional transparency of recipient countries

Energy Policy, Год журнала: 2024, Номер 186, С. 113999 - 113999

Опубликована: Фев. 6, 2024

Язык: Английский

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Ammonia as an alternative fuel for vehicular applications: Paving the way for adsorbed ammonia and direct ammonia fuel cells

Journal of Cleaner Production, Год журнала: 2022, Номер 376, С. 133960 - 133960

Опубликована: Сен. 22, 2022

Язык: Английский

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Is China approaching the inflection point of the ecological Kuznets curve? Analysis based on ecosystem service value at the county level

Journal of Environmental Management, Год журнала: 2022, Номер 326, С. 116629 - 116629

Опубликована: Ноя. 5, 2022

Язык: Английский

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Countries’ green total-factor productivity towards a low-carbon world: The role of energy trilemma

Energy, Год журнала: 2023, Номер 278, С. 127894 - 127894

Опубликована: Май 25, 2023

Язык: Английский

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Dynamic evolution and driving forces of carbon emission efficiency in China: New evidence based on the RBM-ML model

Gondwana Research, Год журнала: 2023, Номер 116, С. 25 - 39

Опубликована: Янв. 5, 2023

Язык: Английский

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Drivers to mitigate climate change in context of manufacturing industry: An emerging economy study

Business Strategy and the Environment, Год журнала: 2023, Номер 32(7), С. 4467 - 4484

Опубликована: Янв. 25, 2023

Abstract Business strategy and the environment are becoming increasingly central within global agenda. In particular, some emerging countries such as India show strong growth in manufacturing sector while also exhibiting high emission values. This inevitably creates a paradox. Therefore, this study aims to determine drivers for Indian firms pursue sustainability. The methodologies used work is comprised of modified total interpretive structure modeling (m‐TISM) that based on 21 mitigate climate change cross‐impact matrix multiplication applied classification (MICMAC) evaluates dependence power driving drivers. findings from reflect there nine levels into which clusters divided. “greenhouse gas performance” “encouraging low carbon products” influenced by all other drivers, driver “dynamic transitions economic political situation” occupies mirror position. last has greatest impact achievement goal along with “persistent corporate conventionalities” situation.” dimension key asset context, but influence sustainable technology supply side responsible consumption demand cannot be overlooked. Businesses focus short‐term maximization not focusing renewable circular resources may uncompetitive long‐term.

Язык: Английский

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SDG7 and renewable energy consumption: The influence of energy sources

Technological Forecasting and Social Change, Год журнала: 2023, Номер 198, С. 123004 - 123004

Опубликована: Ноя. 25, 2023

The transition to renewable energy poses a significant contemporary challenge. To address this, understanding the determinants of this is pivotal. This study examines consumption in Eurozone from 2000 2019 using panel data analysis and Driscoll-Kraay technique with time-fixed effects. Two models test: one aggregated production another disaggregated data. Confirming existing literature, strong inverse association emerges between GDP consumption. A negative relationship arises Foreign Direct Investment (FDI), imports, Moreover, direct, robust correlation exists R&D expenditure When comparing two models, shows both overall volume electricity volumes differentiated by sources. Notably, proves more pronounced model. Disaggregated type provides higher explanatory power, underscoring its value for future studies. Consequently, underscores heightened accuracy reliability transition.

Язык: Английский

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