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 and deep learning approaches.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
SpringerBriefs in Applied Sciences and Technology |
| Release date: |
August 2023 |
| First published: |
2023 |
| Authors: |
Vitor Joao Pereira Domingues Martinho
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
124 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-3-03-138362-5 |
| Categories: |
Books
Promotions
|
| LSN: |
3-03-138362-1 |
| Barcode: |
9783031383625 |
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