Energy Economics, Journal Year: 2024, Volume and Issue: 133, P. 107562 - 107562
Published: April 16, 2024
Language: Английский
Energy Economics, Journal Year: 2024, Volume and Issue: 133, P. 107562 - 107562
Published: April 16, 2024
Language: Английский
Technology in Society, Journal Year: 2023, Volume and Issue: 72, P. 102208 - 102208
Published: Feb. 1, 2023
Language: Английский
Citations
85Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 188, P. 122313 - 122313
Published: Jan. 19, 2023
Language: Английский
Citations
84Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 194, P. 122732 - 122732
Published: July 14, 2023
Language: Английский
Citations
83Economic Analysis and Policy, Journal Year: 2022, Volume and Issue: 76, P. 502 - 521
Published: Sept. 12, 2022
Language: Английский
Citations
79Sustainable Development, Journal Year: 2023, Volume and Issue: 32(3), P. 2583 - 2599
Published: Oct. 27, 2023
Abstract The rapid advancements in the digital economy have created numerous opportunities and solutions for industrial green transformation. However, complex relationship between these two has received relatively less attention. Therefore, this study analyses how impacts transformation across 30 Chinese provinces. empirical findings highlight economy's significant role driving Within dynamic framework, crucial operational mechanisms been identified: heightened public awareness of environmental issues vigorous innovation technologies. It becomes evident that can energize sustain momentum Notably, influence is most pronounced eastern‐central China. its impact western China appears weaker, especially at higher quantiles. We observe a strong correlation evolution terms space time. Higher spatiotemporal regression coefficients are primarily found areas south Hu line, while lower values more common northern regions. These provide insights into be strategically applied to drive
Language: Английский
Citations
72Energy Economics, Journal Year: 2024, Volume and Issue: 130, P. 107285 - 107285
Published: Jan. 6, 2024
Language: Английский
Citations
71Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 201, P. 123203 - 123203
Published: Jan. 20, 2024
Global environmental outcomes, productivity, inclusion, and equality aspects are already beginning to be impacted by artificial intelligence (AI), both immediately over time. AI is expected have beneficial detrimental effects on Sustainable Development Goals (SDGs). Nevertheless, there a lacuna in the literature regarding systematically forecasting `AI's impact different facets of SDGs time various countries. Moreover, though existing has reported correlation between innovation, no prior studies forecast influence AI-based innovation SDG Outcomes. To fill these significant research gaps, this study forecasts achieving nine years, extending from 2022 2030 22 countries (including developed developing countries) across five continents via system dynamics modeling-based simulation grounded Institutional Theory (Technology Enactment Framework). The findings exhibit varying impacts SDGs. This enriches AI, sustainable development providing intricate relationship SDGs, thereby offering valuable insights reader.
Language: Английский
Citations
58Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 188, P. 122314 - 122314
Published: Jan. 6, 2023
Language: Английский
Citations
53Gondwana Research, Journal Year: 2023, Volume and Issue: unknown
Published: March 1, 2023
Language: Английский
Citations
49Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 405, P. 137006 - 137006
Published: March 30, 2023
As the dyad of Industry 4.0 (I4.0) and innovation have gained greater attention from researchers, practitioners policy makers, integration sustainability sustainable development paradigms to this become fundamental sustain businesses’ competitive advantage. A variety I4.0 based innovations with several implications exists in literature, but they largely address independent distinct knowledge areas, which yields an opportunity explore interconnections I4.0-innovation-sustainability nexus. Therefore, research performs a systematic literature review synthesize nexus by investigating how combination technologies different types innovations, could contribute thereby providing implications. Our portfolio derived three databases analyzed 58 journal articles that addressed simultaneous links I4.0-innovation-sustainability. The primary findings show results various including process, product, business model, supply chain, organizational, open, marketing advance triple bottom line (TBL) sustainability, circular economy (CE), models (SBMs) achievement goals (SDGs). While most studies focus on model TBL CE implications, more is required significant overlooked areas such as SDGs.
Language: Английский
Citations
49