LEADER 04280nam 22006855 450 001 9910736987703321 005 20251009101739.0 010 $a3-031-38363-X 024 7 $a10.1007/978-3-031-38363-2 035 $a(CKB)27943604400041 035 $a(DE-He213)978-3-031-38363-2 035 $a(MiAaPQ)EBC31093929 035 $a(Au-PeEL)EBL31093929 035 $a(EXLCZ)9927943604400041 100 $a20230808d2023 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEconomic Growth: Advances in Analysis Methodologies and Technologies /$fby Vitor Joao Pereira Domingues Martinho 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (XIII, 144 p. 41 illus., 40 illus. in color.) 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318 311 08$a9783031383625 320 $aIncludes bibliographical references. 327 $aChapter 1: Economic growth: Sigma and beta convergence processes worldwide -- Chapter 2: Clubs of convergence: Insights from the main groups of countries -- Chapter 3: World trends: Differences and similitudes between absolute and conditional convergence -- Chapter 4: Constant, decreasing, or increasing returns to scale: Evidence from the Verdoorn and Kaldor laws -- Chapter 5: Circular and cumulative processes in economic growth: The importance of the external demand -- Chapter 6: Interrelationships between economic growth and sustainability: Highlights from the literature -- Chapter 7: Sustainable development: Contributions from life cycle cost analysis -- Chapter 8: Social life cycle assessment: Relationships with the economic growth -- Chapter 9: Machine and deep learning: Their roles in the context of the economic growth processes and sustainability assessment -- Chapter 10: Economic growth, sustainability assessment and artificial intelligence: Combinations among these three dimensions. 330 $aThis book assesses the main interrelationships between economic growth processes, life cycle sustainability assessment approaches, and new technologies in the framework of digital transition. In other words, it aims to highlight how sustainability assessment methodologies and artificial intelligence can better support different actors for more sustainable economic growth. Readers of the book would benefit from diverse perspectives on the contributions of evaluation methodologies and digital technologies to more sustainable economic growth. This is important especially for students, policymakers and public institutions. Economic growth is analysed using the concepts of sigma and beta convergence from neoclassical theory and the Verdoorn law of Keynesian development. For sustainability assessments, the book considers methodologies associated with social life cycle assessment and life cycle cost analysis. In the context of digital technologies, special emphasis is given to machine and deep learning approaches. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-5318 606 $aEconomic development 606 $aPower resources 606 $aEnvironmental economics 606 $aEconometrics 606 $aSustainability 606 $aEconomic Growth 606 $aResource and Environmental Economics 606 $aQuantitative Economics 606 $aSustainability 606 $aNatural Resource and Energy Economics 615 0$aEconomic development. 615 0$aPower resources. 615 0$aEnvironmental economics. 615 0$aEconometrics. 615 0$aSustainability. 615 14$aEconomic Growth. 615 24$aResource and Environmental Economics. 615 24$aQuantitative Economics. 615 24$aSustainability. 615 24$aNatural Resource and Energy Economics. 676 $a929.374 676 $a338.9 700 $aMartinho$b Vi?tor Joa?o Pereira Domingues$0981289 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910736987703321 996 $aEconomic Growth: Advances in Analysis Methodologies and Technologies$93566854 997 $aUNINA