On trends and rhythms in scientific and technological knowledge evolution: A quantitative analysis

被引:0
|
作者
Miranda L.C.M. [1 ]
Lima C.A.S. [2 ]
机构
[1] Instituto Nacional De Pesquisas Espaciais, 175 - Campinas 13090-749, São Paulo, São José dos Campos, Rua Piedade
[2] Universidade Estadual De Campinas, 175 - Campinas 13090-749, São Paulo, Campinas, Rua Piedade
关键词
Economic cycles; Evolutionary processes; Granted patents; Historical time series; Innovation decision making; Knowledge evolution characteristics; Model-to-data residuals analysis; Multi-logistic modelling; Scientific discoveries; Technological intelligence; Technological inventions;
D O I
10.1504/IJTIP.2010.033925
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学科分类号
摘要
The evolutionary character of science and technology and their social implications are tracked down by studying five centuries long time series encompassing both the most impacting published scientific works and recorded technological inventions and a 125 years long time series of major granted patents. Using a novel procedure (Miranda and Lima, 2010a, 2010b), typical Kuznets economic cycles (15-25 years) are shown to be modulating the multi-logistic modelling-to-data corresponding residuals series, suggesting that changes and investments in infrastructure are essential driving motors for the observed data. Amidst a complex of components, knowledge evolution emerges as a major one in providing the overall force that catalyses the ensuing basic socially impacting changes. Our results are also discussed under the views of a world system theoretical framework where knowledge evolution, technological intelligence and innovation join together into a feedback system that influenced decision-making towards socio-economic policies that enhanced human welfare evolution throughout centuries. Copyright © 2010 Inderscience Enterprises Ltd.
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页码:76 / 109
页数:33
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