Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(50), С. 109214 - 109232
Опубликована: Сен. 28, 2023
Язык: Английский
Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(50), С. 109214 - 109232
Опубликована: Сен. 28, 2023
Язык: Английский
Energies, Год журнала: 2023, Номер 16(20), С. 7041 - 7041
Опубликована: Окт. 11, 2023
Green initiatives and digital transitions in Central European countries are catalyzing significant transformations within the region’s socio-economic landscape, embedding contemporary technologies into daily life commercial activities. Consequently, this fosters improved environmental quality through sustainable practices. This research unravels complex interplay between renewable energy consumption, digitalization, financial development various national contexts, providing key insights their respective collective impacts on quality. study investigates relationship among quality, development, economic growth countries, analyzing data from 1995 to 2019. An analysis of panel reveals a statistically positive carbon emissions, negative emissions. In nations, including Czech Republic, Hungary, Latvia, Slovakia, digitalization serves mediating role consumption However, as mediator manifests varied across different countries. These findings hold potential guide policy recommendations for under consideration.
Язык: Английский
Процитировано
14Journal of Cleaner Production, Год журнала: 2024, Номер 459, С. 142564 - 142564
Опубликована: Май 13, 2024
Язык: Английский
Процитировано
6Sustainable Development, Год журнала: 2024, Номер unknown
Опубликована: Май 15, 2024
Abstract The Sustainable Development Goals (SDGs) set by the United Nations are a worldwide appeal to eliminate poverty, preserve environment, address climate change, and guarantee that everyone experiences peace prosperity 2030. These 17 goals cover various global issues concerning health, education, inequality, environmental decline, change. Several investigations have been carried out track advancements toward these goals. However, there is limited research on forecasting SDG scores. This aims forecast scores for regions 2030 using ARIMAX LR (Linear Regression) smoothed HW (Holt‐Winters') multiplicative technique. To enhance model performance, we used predictors identified from SDGs more likely be influenced Artificial Intelligence (AI) in future. results show “OECD countries” (80) (with 2.8% change) “Eastern Europe Central Asia” (74) 2.37% expected achieve highest “Latin America Caribbean” (73) 4.17% change), “East South (69) 2.64% “Middle East North Africa” (68) 2.32% “Sub‐Saharan (56) 7.2% will display lower levels of achievement, respectively.
Язык: Английский
Процитировано
6Energy Strategy Reviews, Год журнала: 2024, Номер 56, С. 101567 - 101567
Опубликована: Окт. 30, 2024
Язык: Английский
Процитировано
6Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(50), С. 109214 - 109232
Опубликована: Сен. 28, 2023
Язык: Английский
Процитировано
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