Innovation systems and changes in the core-periphery divide: notes on a methodology to determine countries’ trajectories using science and technology statistics

This paper presents a methodology to evaluate the international position of national innovation systems. Data on patents, scientific articles, population and gross domestic product (GDP) for all countries for 1974, 1982, 1990, 1998, 2006, 2012 and 2014 form the basis for the application of this country clustering methodology. In addition to establishing a threshold between clusters (the core-periphery divide interpreted on the basis of science and technology data), it is possible to capture movement in thresholds, driven by technological revolutions in core countries. The result is a dynamic framework, which makes it increasingly difficult to implement convergence processes.

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Bibliographic Details
Main Authors: Chaves, Catari Vilela, Ribeiro, Leonardo Costa, Dos Santos, Ulisses Pereira, Albuquerque, Eduardo da Motta e
Format: Texto biblioteca
Language:English
Published: 2020-04-20
Subjects:CIENCIA Y TECNOLOGIA, INNOVACIONES, CAPITALISMO PERIFERICO, POLITICA DE CIENCIA Y TECNOLOGIA, DESARROLLO ECONOMICO, PAISES DESARROLLADOS, PAISES EN DESARROLLO, PAISES MENOS ADELANTADOS, ESTUDIOS DE CASOS, ESTADISTICAS DE LA CIENCIA Y LA TECNOLOGIA, SCIENCE AND TECHNOLOGY, INNOVATIONS, PERIPHERAL CAPITALISM, SCIENCE AND TECHNOLOGY POLICY, ECONOMIC DEVELOPMENT, DEVELOPED COUNTRIES, DEVELOPING COUNTRIES, LEAST DEVELOPED COUNTRIES, CASE STUDIES, SCIENCE AND TECHNOLOGY STATISTICS,
Online Access:https://hdl.handle.net/11362/45975
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Summary:This paper presents a methodology to evaluate the international position of national innovation systems. Data on patents, scientific articles, population and gross domestic product (GDP) for all countries for 1974, 1982, 1990, 1998, 2006, 2012 and 2014 form the basis for the application of this country clustering methodology. In addition to establishing a threshold between clusters (the core-periphery divide interpreted on the basis of science and technology data), it is possible to capture movement in thresholds, driven by technological revolutions in core countries. The result is a dynamic framework, which makes it increasingly difficult to implement convergence processes.