| 书目名称 | Economic Growth: Advances in Analysis Methodologies and Technologies |
| 编辑 | Vitor Joao Pereira Domingues Martinho |
| 视频video | |
| 概述 | Contributes to more sustainable economic growth.Connects economic growth patterns, analysis methodologies, and AI to the understanding of sustainability.Offers diverse perspectives on the contribution |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .This book assesses the main interrelationships between economic growth processes, life cycle sustainability assessment approaches, and new technologies in the framework of digital transition. In other words, it aims to highlight how sustainability assessment methodologies and artificial intelligence can better support different actors for more sustainable economic growth. Readers of the book would benefit from diverse perspectives on the contributions of evaluation methodologies and digital technologies to more sustainable economic growth. This is important especially for students, policymakers and public institutions. Economic growth is analysed using the concepts of sigma and beta convergence from neoclassical theory and the Verdoorn law of Keynesian development. For sustainability assessments, the book considers methodologies associated with social life cycle assessment and life cycle cost analysis. In the context of digital technologies, special emphasis is given to machine anddeep learning approaches.. |
| 出版日期 | Book 2023 |
| 关键词 | Social Life Cycle Assessment; Economic Convergence; Economic Divergence; Life Cycle Costs Analysis; Arti |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-38363-2 |
| isbn_softcover | 978-3-031-38362-5 |
| isbn_ebook | 978-3-031-38363-2Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:46:56
