Innovation output estimation method for a national innovation system: application to the BRICS countries

التفاصيل البيبلوغرافية
العنوان: Innovation output estimation method for a national innovation system: application to the BRICS countries
المؤلفون: Francisco Cristóvão Lourenço de Melo, Mischel Carmen Neyra Belderrain, Tessaleno C. Devezas, Rodrigo Arnaldo Scarpel, Joana Ramos Ribeiro, Luciele Cristina Pelicioni
المصدر: International Journal of Multivariate Data Analysis. 1:261
بيانات النشر: Inderscience Publishers, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Estimation, National innovation system, Ranking, media_common.quotation_subject, Econometrics, Business, Global Innovation Index, Set (psychology), Function (engineering), Structural equation modeling, Confirmatory factor analysis, media_common
الوصف: The evaluation of the ability of a country to promote innovation is a valuable step to assist countries in designing suitable economic policies. A usual approach to perform such evaluation and for ranking countries according to their innovation rate is the usage of innovation indices. However, those indices are not appropriate for evaluating whether a set of countries are producing innovation below of what is expected from them. Thus, the aim of this study was to create a model using structural equation model (SEM) to allow evaluating the innovation capacity of any country and to calculate the expected outputs as a function of the estimated inputs. The model showed that the countries belonging to the BRICS group, except for South Africa, presented outputs close to or above the expected for these countries, achieving a performance similar to the group of countries with negative scores of input and output factors.
تدمد: 2396-8311
2396-8303
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9eecb65ac36ed82ddebc81b0ed7c41c6
https://doi.org/10.1504/ijmda.2018.10012897
رقم الأكسشن: edsair.doi...........9eecb65ac36ed82ddebc81b0ed7c41c6
قاعدة البيانات: OpenAIRE