Innovación y caos determinista: un modelo predictivo para Europa

Jesús Manuel Plaza Llorente
Additional contact information
Jesús Manuel Plaza Llorente: UNED. Departamento de Economía de la Empresa y Contabilidad

EKONOMIAZ. Revista vasca de Economía, 2012, vol. 80, issue 02, 260-289

Abstract: the economy is a deterministic chaotic system, in line with the characteristics of aperiodicity, predictability and dependence sensitive to initial conditions. The 1990-2010 dataset for the HDI (Human Development Index) published by the UNDP is used to model the behaviour of the level of development of the economies of EU-27, under the hypothesis that that level has the power to explain their position as regards innovation in 2010, represented by the Innovation Union Scoreboard (IUS). Significant comparisons are made between the positions on innovation of the UK and Germany as the prototype economies for stylised models of innovation, to show how the laws of deterministic chaos can be used to reinterpret these phenomena.

Keywords: deterministic chaos; human development index; innovation index (search for similar items in EconPapers)
JEL-codes: I31 O15 O31 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.ogasun.ejgv.euskadi.net/r51-k86aekon/es ... ubl=76&registro=1221 complete text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ekz:ekonoz:2012212

Ordering information: This journal article can be ordered from
Dpto. de Hacienda y Finanzas, Gobierno Vasco, C/Donostia-San Sebastián, 1, 01010 Vitoria-Gasteiz, Spain

Access Statistics for this article

More articles in EKONOMIAZ. Revista vasca de Economía from Gobierno Vasco / Eusko Jaurlaritza / Basque Government Contact information at EDIRC.
Bibliographic data for series maintained by Iñaki Treviño ().