001476018 000__ 04414cam\\22006017i\4500
001476018 001__ 1476018
001476018 003__ OCoLC
001476018 005__ 20231003174628.0
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001476018 007__ cr\un\nnnunnun
001476018 008__ 230817s2023\\\\sz\a\\\\ob\\\\000\0\eng\d
001476018 019__ $$a1393203887$$a1396870353$$a1397667951
001476018 020__ $$a9783031383632$$q(electronic bk.)
001476018 020__ $$a303138363X$$q(electronic bk.)
001476018 020__ $$z9783031383625
001476018 020__ $$z3031383621
001476018 0247_ $$a10.1007/978-3-031-38363-2$$2doi
001476018 035__ $$aSP(OCoLC)1394041337
001476018 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX
001476018 049__ $$aISEA
001476018 050_4 $$aHD82
001476018 08204 $$a338.9$$223/eng/20230817
001476018 1001_ $$aMartinho, Vitor Joao Pereira Domingues,$$eauthor.
001476018 24510 $$aEconomic growth :$$badvances in analysis methodologies and technologies /$$cVitor Joao Pereira Domingues Martinho.
001476018 264_1 $$aCham :$$bSpringer,$$c2023.
001476018 300__ $$a1 online resource (xiii, 144 pages) :$$billustrations (some color).
001476018 336__ $$atext$$btxt$$2rdacontent
001476018 337__ $$acomputer$$bc$$2rdamedia
001476018 338__ $$aonline resource$$bcr$$2rdacarrier
001476018 4901_ $$aSpringerBriefs in Applied Sciences and Technology,$$x2191-5318
001476018 504__ $$aIncludes bibliographical references.
001476018 5050_ $$aChapter 1: Economic growth: Sigma and beta convergence processes worldwide -- Chapter 2: Clubs of convergence: Insights from the main groups of countries -- Chapter 3: World trends: Differences and similitudes between absolute and conditional convergence -- Chapter 4: Constant, decreasing, or increasing returns to scale: Evidence from the Verdoorn and Kaldor laws -- Chapter 5: Circular and cumulative processes in economic growth: The importance of the external demand -- Chapter 6: Interrelationships between economic growth and sustainability: Highlights from the literature -- Chapter 7: Sustainable development: Contributions from life cycle cost analysis -- Chapter 8: Social life cycle assessment: Relationships with the economic growth -- Chapter 9: Machine and deep learning: Their roles in the context of the economic growth processes and sustainability assessment -- Chapter 10: Economic growth, sustainability assessment and artificial intelligence: Combinations among these three dimensions.
001476018 506__ $$aAccess limited to authorized users.
001476018 520__ $$aThis book assesses the main interrelationships between economic growth processes, life cycle sustainability assessment approaches, and new technologies in the framework of digital transition. In other words, it aims to highlight how sustainability assessment methodologies and artificial intelligence can better support different actors for more sustainable economic growth. Readers of the book would benefit from diverse perspectives on the contributions of evaluation methodologies and digital technologies to more sustainable economic growth. This is important especially for students, policymakers and public institutions. Economic growth is analysed using the concepts of sigma and beta convergence from neoclassical theory and the Verdoorn law of Keynesian development. For sustainability assessments, the book considers methodologies associated with social life cycle assessment and life cycle cost analysis. In the context of digital technologies, special emphasis is given to machine and deep learning approaches.
001476018 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 17, 2023).
001476018 650_0 $$aEconomic development.
001476018 655_0 $$aElectronic books.
001476018 77608 $$iPrint version: $$z3031383621$$z9783031383625$$w(OCoLC)1382624668
001476018 830_0 $$aSpringerBriefs in applied sciences and technology,$$x2191-5318
001476018 852__ $$bebk
001476018 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38363-2$$zOnline Access$$91397441.1
001476018 909CO $$ooai:library.usi.edu:1476018$$pGLOBAL_SET
001476018 980__ $$aBIB
001476018 980__ $$aEBOOK
001476018 982__ $$aEbook
001476018 983__ $$aOnline
001476018 994__ $$a92$$bISE