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    Wyświetlanie 1-3 z 3
    Tytuł:
    ON THE USE OF PANEL STATIONARITY TESTS IN CONVERGENCE ANALYSIS: EMPIRICAL EVIDENCE FOR THE EU COUNTRIES
    Autorzy:
    Próchniak, Mariusz
    Witkowski, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/517309.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    economic growth
    convergence
    catching up
    stationarity
    ADF test
    Opis:
    The study examines the concept of stochastic convergence in the EU28 countries over the 1994–2013 period. The convergence of individual countries’ GDP per capita towards the EU28 average per capita income level and the pair-wise convergence between the GDP of individual countries are both analyzed. Additionally, we introduce our own concept of conditional stochastic convergence which is based on adjusted GDP per capita series in order to account for the impact of other growth factors on GDP. The analysis is based on time series techniques. To assess stationarity, ADF tests are used. The study shows that the process of stochastic convergence in the EU countries is not as widespread as the cross-sectional studies on b or s convergence indicate. Even if we extend the analysis to examine conditional stochastic convergence, the number of converging economies or pairs of countries rises, but not as much as it could be expected from the cross-sectional studies.
    Źródło:
    Equilibrium. Quarterly Journal of Economics and Economic Policy; 2016, 11, 1; 77-96
    1689-765X
    2353-3293
    Pojawia się w:
    Equilibrium. Quarterly Journal of Economics and Economic Policy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The National Innovation System in a catching-up country: empirical evidence based on micro data of a Triple Helix in Poland
    Autorzy:
    Świadek, Arkadiusz
    Dzikowski, Piotr
    Gorączkowska, Jadwiga
    Tomaszewski, Marek
    Powiązania:
    https://bibliotekanauki.pl/articles/19322551.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    industry
    catching-up country
    Polska
    national innovation system
    triple helix
    Opis:
    Research background: There are two main directions for the research of the national innovation system (NIS): the international comparison of macro data from national statistic offices or specific micro research restricted mostly to analysing selected issues. There is a lack of empirical studies regarding the national innovation system as a whole based on micro raw data and using statistical models. Purpose of the article: To identify and evaluate the impact of the triple helix (an input and output approach) on the NIS in Poland, including internal interactions between industry, science and government. Methods: A questionnaire surveys were conducted by the authors over the past five  years in 6,284 manufacturing enterprises. The multifactor stepwise logistics regression forward was used to evaluate what, where and how effectively the NIS institutions in catching-up and medium-sized countries such as Poland are working. Findings & value added: The NIS of Poland is a complicated and non-mature system. Some parts of the network are effective, while others are not. It is noted that cooperation between enterprises stimulates innovation to a greater extent than cooperation with scientific institutions and public administration. The vertical supply chain is the main driver of NIS in Poland. Domestic scientific institutions have an impact that is often short-term, fragmented, and non-continuous, though it can be strong from time to time. Strangely, organizations with low knowledge potential support industry innovation activity more efficiently and in a more organised way than science institutes, excluding foreign ones. For catching-up countries, this is an important bridging of the knowledge gap - it turns out that the quantity and quality of domestic knowledge in the national innovation system is inefficient. Scientific institutions need to achieve sufficient critical mass to stimulate innovative activity. The value of the conclusions is underlined by the fact that the analyses were based on micro data, which allowed to capture the relationships between the different elements of the triple helix.
    Źródło:
    Oeconomia Copernicana; 2022, 13, 2; 511-540
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Time stability of the impact of institutions on economic growth and real convergence of the EU countries: implications from the hidden Markov models analysis
    Autorzy:
    Bernardelli, Michał
    Próchniak, Mariusz
    Witkowski, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/22444341.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    catching up
    convergence
    Bayesian model averaging
    hidden Markov models
    Viterbi path
    Opis:
    Research background: It is not straightforward to identify the role of institutions for the economic growth. The possible unknown or uncertain areas refer to nonlinearities, time stability, transmission channels, and institutional complementarities. The research problem tackled in this paper is the analysis of the time stability of the relationship between institutions and economic growth and real economic convergence. Purpose of the article: The article aims to verify whether the impact of the institutional environment on GDP dynamics was stable over time or diffed in various subperiods. The analysis covers the EU28 countries and the 1995?2019 period. Methods: We use regression equations with time dummies and interactions to assess the stability of the impact of institutions on economic growth. The analysis is based on the partially overlapping observations. The models are estimated with the use of Blundell and Bond?s GMM system estimator. The results are then averaged with the Bayesian Model Averaging (BMA) approach. Structural breaks are identified on the basis of the Hidden Markov Models (HMM). Findings & value added: The value added of the study is threefold. First, we use the HMM approach to find structural breaks. Second, the BMA method is applied to assess the robustness of the outcomes. Third, we show the potential of HMM in foresighting. The results of regression estimates indicate that good institution reflected in the greater scope of economic freedom and better governance lead to the higher economic growth of the EU countries. However, the impact of institutions on economic growth was not stable over time.
    Źródło:
    Equilibrium. Quarterly Journal of Economics and Economic Policy; 2021, 16, 2; 285-323
    1689-765X
    2353-3293
    Pojawia się w:
    Equilibrium. Quarterly Journal of Economics and Economic Policy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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