Abstract:Z a r y s t r e ś c i . W artykule przedstawiono dorobek myśli ekonomicznej traktują-cej o postępie technicznym, wynalazkach oraz innowacjach, zaczynając od koncepcji Adama Smitha, a kończąc na polskim ekonomiście Michale Kaleckim. Przeanalizowano także badania Solowa, Swana, Arrowa, Lucasa oraz Romera wyjaśniające wpływ postępu technicznego na wzrost gospodarczy i określające czynniki determinujące ten postęp. Podkreślono, iż zmieniająca się natura globalizacji powoduje, że warunki sprzyjające powstawaniu, dy… Show more
“…That indicates a variety and many-sidedness of a definition of innovation (Baregheh, Rowley, Sambrook, 2009;Cumming, 1998;Fischer, 2001;Gault, 2018;Godin, 2008;Gust-Bardon, 2012;Kogabayev, Maziliauskas, 2017).…”
Section: Innovations -Review Of Definitionsmentioning
Research background: The article attempts to include the accuracy of statistical data in a synthetic evaluation and classification of EU countries in terms of innovation.Purpose: The aim of the article is to evaluate an influence of the accuracy of statistical data on a classification of EU countries in terms of innovation.Research methodology: The research employed diagnostic variables determining the innovation of EU countries and a methodology proposed by the European Commission in the European Innovation Scoreboard 2019. The influence of the uncertainty of the measurement of the diagnostic variables on the Summary Innovation Index of EU countries was evaluated. In order to do this, a procedure employing the Monte Carlo method was proposed.Results: Taking into account the uncertainty of the measurement of variables in the evaluation of the innovation of EU countries resulted in qualifying one of the countries to another innovation group.Novelty: The article draws attention to an important but often neglected problem related to the accuracy of statistical data used in research, and the evaluation of their influence on the calculation of a value of synthetic measure (based on the innovation of EU countries).
“…That indicates a variety and many-sidedness of a definition of innovation (Baregheh, Rowley, Sambrook, 2009;Cumming, 1998;Fischer, 2001;Gault, 2018;Godin, 2008;Gust-Bardon, 2012;Kogabayev, Maziliauskas, 2017).…”
Section: Innovations -Review Of Definitionsmentioning
Research background: The article attempts to include the accuracy of statistical data in a synthetic evaluation and classification of EU countries in terms of innovation.Purpose: The aim of the article is to evaluate an influence of the accuracy of statistical data on a classification of EU countries in terms of innovation.Research methodology: The research employed diagnostic variables determining the innovation of EU countries and a methodology proposed by the European Commission in the European Innovation Scoreboard 2019. The influence of the uncertainty of the measurement of the diagnostic variables on the Summary Innovation Index of EU countries was evaluated. In order to do this, a procedure employing the Monte Carlo method was proposed.Results: Taking into account the uncertainty of the measurement of variables in the evaluation of the innovation of EU countries resulted in qualifying one of the countries to another innovation group.Novelty: The article draws attention to an important but often neglected problem related to the accuracy of statistical data used in research, and the evaluation of their influence on the calculation of a value of synthetic measure (based on the innovation of EU countries).
The study presents the impact of eco-innovation and policy conducive to the implementation of the principles of sustainable development in agriculture on economic development. The starting point was the analysis of economic growth models and indicating in them the approach to innovation for the implementation of sustainable development. The specifics of eco-innovation in the agricultural sector and their typology have been presented. Due to the complexity of innovative processes and in particular the resulting effects, multi-component measures of innovation and eco-innovation have been discussed. In the last part, using the panel analysis, the effect of eco-innovation in agriculture on socio-economic development at the level of the entire economy has been demonstrated.
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