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Wyszukujesz frazę "economic modelling" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Measuring active ageing within the European Union: implications on economic development
Autorzy:
Thalassinos, Eleftherios
Cristea, Mirela
Noja, Gratiela Georgiana
Powiązania:
https://bibliotekanauki.pl/articles/22446397.pdf
Data publikacji:
2019
Wydawca:
Instytut Badań Gospodarczych
Tematy:
Active Ageing Index
European Union
economic development
labour market
macro-econometric modelling
Opis:
Research background: The ageing phenomenon undermines the stability and equilibrium of the labour market and it affects the economic development of countries, as well as the welfare of older people aged over 65 years. Purpose of the article: Against this background, our research is conducted to assess the specific ways in which active ageing (measured through the active ageing index ? AAI), correlated with other economic and labour market credentials, would impact the economic development of EU Member States. Methods: The research methodology consists of two econometric procedures, namely (i) cluster analysis performed on EU?28 countries to configure congruent groups according to similar features of the active ageing (measured through the Active Ageing Index ? AAI) and Gross Domestic Product (GDP) levels, respectively (ii) panel data analysis, applied distinctly on two panels, EU?15 (old) and EU?13 (new), relying on four macro-econometric models (robust regression, panel corrected standard errors, spatial lag and spatial error), in order to test the direct influences of AAI and other economic and social selected variables on economic development. The analysis is made for the 2010?2018 lapse of time, by capturing all the available data for the AAI as reported by the European Commission. Findings & Value added: The results highlight important dissimilarities between the EU countries that require a rethinking of policies for the active ageing population support. Thereby, constant policy rethinking, adequate strategies, measures and tools for the active ageing population support become outlier keystones that entail a successful integration of the older people within all life dimensions.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2019, 14, 4; 591-609
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Technological progress spillover effect in Lithuanian manufacturing industry
Autorzy:
Markauskas, Mantas
Baliute, Asta
Powiązania:
https://bibliotekanauki.pl/articles/22444309.pdf
Data publikacji:
2021
Wydawca:
Instytut Badań Gospodarczych
Tematy:
technological progress
agent-based modelling
intersectoral technological progress spillover
manufacturing industry
economic development
Opis:
Research background: Various methods for technological progress assessment and evaluation exist in the context of economic development. Each of the methods possesses distinct advantages and disadvantages in analysis of technological progress fluctuations. For most neoclassical growth theories, technological progress measures are included as exogenous variables, thus excluding evaluation of factors influencing technological progress variation throughout time. Purpose of the article: The aim of this article is to offer improvements on classical technological progress evaluation methodologies for manufacturing industries, separating effect of intersectoral technological progress spillover effect from internal factors influencing technological progress growth and perform analysis in the case of Lithuanian manufacturing industry. Methods: Earlier research papers used linear time series regression and vector autoregression methods to assess technological progress values and define equations explaining effect of different manufacturing level indicators on technological progress measure growth. This research paper uses results of previously mentioned methods and performs simulation analysis applying agent-based modelling framework. Findings & value added: The conducted vector autoregression analysis has showed that two variables which influence technological progress most significantly are labor productivity measure and gross profit value. Sensitivity analysis emphasizes that effect of these two variables on technological progress growth is substantially different. Increase in gross profit value affects technological progress growth for wider range of sectors from Lithuanian manufacturing industry (15 out of 18 analyzed sectors? technological progress measure values are affected by changes in gross profit, while changes in labor productivity influence technological progress values in the case of 9 sectors). Rising gross profit values also produce intersectoral technological progress spillover effect more significantly, while growth in labor productivity measure has stronger effect on technological progress fluctuations for sectors which are able to exploit this effect. Presented research suggests improved methodology for intersectoral technological progress spillover effect assessment in the context of manufacturing industries.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2021, 16, 4; 783-806
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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