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EN
The ICT-based techno-economic paradigm shift was sharpened by income inequalities in all over the world. The economic performance of USA and Europe were seemed to more different thanks to global economic events. The main purpose of this study is to estimate various macroeconomic variables such as GDP and labour for the period of 1993-2013. In order to indicate economic growth an alternative growth accounting method was used to decompose impacts of physical capital accumulation, technological changes and labour. Analysing the time series data of various OECD countries we could conclude that a large part of the variations in the output gap stem from the cyclical variations of total labour input and the total factor productivity (TFP). Hence, our results were reflected the relevance of technological progress.
EN
The main goal of this paper is to empirically investigate the regional dimension of productivity determinants for 24 regions of Ukraine using micro-level dataset for individual firms in 2013. The novelty of our analysis is the comparison of the determinants of productivity in the manufacturing and service sectors. We estimate both pooled regressions for all regions and separate regressions for particular regions. The estimation results obtained for the entire country demonstrate that the majority of our explanatory variables are statistically significant for the manufacturing sector and all are statistically significant for the service sector although at different levels of significance. At the same time, the estimation results obtained separately for each region show a large degree of heterogeneity across the regions and sectors and the lack of scale economies at the firm-level.
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2013
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vol. 16
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issue 4
23-38
EN
The paper provides a new approach to the classification of EU countries into innovation-performance groups, taking into account their social regime. In the Introduction, it draws on some empirical evidence of synchronised research and development (R&D) performance within a social regime. In the second and third parts it reviews the literature on measuring R&D performance, and in the fourth part it summarizes social regime classifications. The fifth and longest part of the paper proceeds to a comparative analysis of the empirical data, pointing out disparities, both respects to numbers and members, in the composition of innovation-performance groups. In the final part, the paper summarizes key findings.
EN
The paper analyzes the influence of labor productivity on employment in various branches of Poland’s manufacturing sector in 1993-2007. The author attempts to determine if changes in labor productivity and employment were substitutive or complementary in nature and whether the relationship between these processes was stable or liable to change. The analysis, using the Pearsoncorrelation coefficient (which measures the strength of the linear relationship between two variables), shows that the relationship between labor productivity and employment turned from substitutive to complementary and that an improvement in labor productivity had no distinct impact on employment in the short term, while in the long term it promoted an increase in employment. The relationship between labor productivity and employment varied because the ways in which labor productivity improved tended to change. In the 1990s institutional changes led to an improvement in labor productivity, including the introduction of market economy mechanisms, privatization and greater competition in the wake of opening the economy. At the time the simplest method was used: employment reductions. With time this option petered out and companies began to improve labor productivity (and competitiveness) by investing, modernizing their fixed assets, and introducing product rather than process innovations. This had a favorable influence on employment, the author says.
EN
Research background: The paper presents the issue of total factor productivity in the manufacturing industry in Poland. It has been assumed that total factor productivity (TFP) is a synthetic measure of efficiency of the production process and a measure of the impact of technical progress on the rate of economic growth. Purpose of the article: The main aim of the paper is to assess the differentiation in the level of total factor productivity (TFP) occurring among the Section C manufacturing divisions in Poland. In particular, the paper raises the issue of measuring and analysing the relationship between expenditure on research and development and the level of TFP in manufacturing divisions in Poland. Methods: In the presented research, the TFP level was determined by using the two-factor Cobb-Douglas production function, while econometric panel models were used to assess the studied relationship. Findings & Value added: The presented considerations show that manufacturing divisions in Poland are diversified in terms of total factor productivity. Generally, manufacturing divisions with high R&D intensity, i.e. divisions classified as so-called high-tech ones, are characterised by a high TFP level. The econometric analysis carried out allows us to conclude that expenditure on R&D incurred in manufacturing enterprises significantly affects the level of TFP.
EN
This paper empirically researches the productivity changes of Polish banking industry during period of 1998-2008, by applying a non-parametric Malmquist Productivity Index (MPI) method. This methodology is well establishing approach in exploring performance measures, productivity growth, technological change and technical efficiency. In specifying the variables input-output, an asset/profit approach has been is chosen, which simplify the potential correlation between financial results of the bank with the investment level in IT. Results indicate that during the study period, over eleven years Polish banking industry experienced steady technological progress. All 17 biggest banks chosen for the study, which represent 85% of the asset base, have maintained overall productivity gain. Within this group analysis shows no significant difference linked to the scale/size of the banks. Local inefficiency observed does not seem to have any systematic pattern.
EN
This article contributes to the discussion concerning the relation between knowledge Capital and economic growth. The author draws on theoretical background and empirical verification in order to analyse the relation between human capital (educational Capital) and countries' economic performance and economic growth. The analysis also looks at the nexus R&D capital and economic growth, both directly and indirectly, through the total factor productivity channel. The paper discusses, among others, the interaction between educational capital and R&D capital on the one hand, and, on the other, the country distance from the world technology frontier. Other essential drivers of economic growth and TFP growth are also explored.
PL
Artykuł stanowi przyczynek do dyskusji na temat relacji między kapitałem wiedzy a wzrostem gospodarczym. Autorka przeprowadza - zarówno w kontekście teoretycznym, jak i poprzez proces weryfikacji empirycznej - analizę relacji między kapitałem ludzkim (kapitałem edukacji) a osiągnięciami i wzrostem gospodarczym krajów. Badaniem objęty został również wpływ sektora B+R na wzrost gospodarczy w sposób bezpośredni, jak i pośrednio, poprzez kanał ogólnej produktywności czynników produkcji. Analizowana jest m.in. interakcja między kapitałem edukacji i kapitałem nauki z jednej strony a odległością od światowej granicy technologicznej z drugiej. Autorka poszukuje również innych warunków koniecznych stymulujących wzrost gospodarczy.
PL
Artykuł stanowi przyczynek do dyskusji nad wpływem wiedzy, w szczególności wiedzy technologicznej we wzroście gospodarczym, w sposób bezpośredni jak i pośrednio poprzez kanał ogólnej produktywności czynników produkcji. Podkreślona jest konieczność tworzenia odpowiedniego potencjału społeczno- technologicznego na rzecz tworzenia wiedzy technologicznej oraz jej adaptacji. Nie zachodzi konwergencja technologiczna między krajami znajdującymi się w różnych stadiach rozwoju społeczno-gospodarczego, jeśli nie kontrolowany jest poziom zdolności kraju na rzecz tworzenia i absorpcji wiedzy.
EN
This article represents a contribution to the discussion on the technological influence on the economic growth, directly and indirectly through total factor productivity channel. It is emphasized the necessity of the suitable social - technological capabilities creation for technological knowledge generation and adaptation.
EN
The aim of this paper is to demonstrate that performing gross value added growth decompositions in four variants makes it possible to deepen the observation of economic processes. These variants have been obtained on the basis of two fundamental dichotomies. The first of them involved performing a decomposition of the gross value added growth into the contributions of production factor remunerations, and, in parallel, a decomposition into the contributions of production factor stocks and total factor productivity (TFP). The second dichotomy involved performing separate but parallel decompositions for employees and for employed persons. The devised methodology made it possible to perform computations for the years 2001–2015 at the aggregate level, according to NACE sections, according to voivodships and according to both the NACE sections and the voivodships. The decompositions were performed basing on Statistics Poland’s data from the Bank of Local Data and the National Accounts. The presented results confirm that performing decompositions according to the two above-mentioned dichotomies makes it possible to deepen the analyses of the economic growth, which is especially important in the regional aspect.
PL
Celem artykułu jest wykazanie, że wykonanie dekompozycji przyrostu wartości dodanej brutto w czterech wariantach umożliwia pogłębienie obserwacji procesów zachodzących w gospodarce. Warianty te uzyskano na podstawie dwóch zasadniczych dychotomii. Pierwsza dotyczyła dekompozycji na kontrybucje wynagrodzeń czynników produkcji z jednej strony oraz na kontrybucje zasobów czynników produkcji i ich produktywności (total factor productivity – TFP) z drugiej strony. Druga polegała na wykonaniu dekompozycji równolegle dla zatrudnionych oraz dla pracujących. Opracowana metodologia umożliwiła dokonanie obliczeń dla lat 2001–2015 na poziomie zagregowanym według sekcji PKD, województw oraz jednocześnie sekcji i województw. Przeprowadzono je na podstawie danych z Banku Danych Lokalnych i rachunków narodowych GUS. Wyniki potwierdzają, że wykonanie dekompozycji według ww. dychotomii umożliwia pogłębienie analiz wzrostu gospodarczego, co jest szczególnie istotne w aspekcie regionalnym.
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