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nr 869
5-26
EN
The paper does a statistical analysis of the influence of two crucial components of human capital – education and health – on economic growth in OECD countries from 1992 to 2007. The analysis was based on the production function derived from Mankiw, Romer and Wiel’s neoclassical growth model (1992). The calculation was conducted based on least squares and fixed effects methods. The results show that, while perhaps to a lesser extent than physical capital, human capital has a positive impact on economic growth in OECD countries. It is also shown that education supports per capita GDP growth to a greater extent than improving the condition of health.
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tom 12
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nr 1
11-34
EN
Research background: Circular economy is of great importance, as it plays a vital role in ensuring the reuse of waste created and, therefore, reduces the waste of limited resources, which is the primary goal of the general economic concept. In line with the circular economy, sustainable development gains great attention, as the United Nations announced the sustainable development goals that should be reached by 2030. Hence, the current paper aims at examining whether the circular economy could be treated as an effective assistance tool for sustainable development of OECD countries. Purpose of the article: The paper aims to investigate whether the circular economy could serve as an assistance tool for sustainable development and, therefore, seeks to determine if the circular economy could directly impact a country's sustainable development. Methods: First, the countries chosen were prioritised using the Analytic Hierarchy Process (AHP) and the Evaluation Based on Distance from Average Solution (EDAS) methodologies. AHP method was used for weight assignment to the circular economy indicators that were further used for OECD countries' prioritisation procedure for which multi-criteria decision-making method EDAS was employed. Second, to reveal a link between the circular economy ranking results and sustainable development, a comparative analysis was done. Third, the impact of the country's circular economy on sustainable development was evaluated using the fixed-effect regression model on four years of panel data from 2016 to 2019 for the sample of 32 OECD countries. Findings & value-added: The comparative analysis of the circular economy's prioritisation results and Sustainable Development Goals Index (SDGI) ranking showed 20 out of 32 matches, assuming a link between the circular economy and sustainable development could be made. The fixed-effect regression equation results demonstrate that the unemployment rate, poverty rate, air pollution exposure, and CO2 emission per capita negatively influence sustainable development. In contrast, indicators such as gross domestic expenditure on R&D, renewable energy, number of passenger cars in use, and households with Internet access positively impact SDGI. The hypothesis that the circular economy is seen as an assistance for sustainable development and directly affects a country's sustainability was approved. The paper contributes to the scientific literature in the field of circular economy and sustainable development interaction and could be seen as an assumption for new research directions, focusing on the linkage between circular economy and sustainable development. Moreover, the obtained results could contribute to a country's policy-makers by highlighting the essential indicators of a circular economy that should be considered while forming the strategy of a country's sustainable development.
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nr 1
45-60
EN
The Human Development Index (HDI) has played an influential role in the debate on human development (HD) for many years. However, no index is perfect and neither is the HDI of the United Nations Development Program (UNDP). This paper aims to construct a new composite index for the development performance of a sample of 30 Organization for Economic Co-operation and Development (OECD) countries by adding a fourth indicator, namely the unemployment index, to the calculation of HDI. The addition of the unemployment factor to the HDI as a new indicator has the potential to make the index more comprehensive and present a suitable approach for assessing the development performance of countries.
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tom z. 59
51--67
PL
Opracowanie obejmuje część teoretyczną i praktyczną. Część teoretyczna dotyczy definicji i typów konwergencji, konwergencji w perspektywie historycznej, czynników wpływających na konwergencję, kryzysu finansowego i gospodarczego oraz jego konsekwencji oraz kryzysu w krajach UE należących do OECD i jego wpływu na konwergencję. Część praktyczna opracowania to wyniki badań empirycznych dotyczących występowania procesu konwergencji w krajach OECD w latach 2003-2012.
EN
This paper analyzes the issue of convergence in OECD countries and tries to assess the effect of financial crisis on the process of convergence. In other words we consider, if the global financial crisis pulled the economies of the organization together or pushed them apart. Looking at the convergence from historical perspective, one can observe only limited extent of this phenomenon. The economic growth in the twentieth century shows the striking divergence instead of convergence. The economists found that convergence was restricted only to the narrow range of North Atlantic countries. But outside the charmed circle there was structural change and economic integration but not convergence. Analyzing the consequences of the global financial and economic crisis on the most developed countries we come to our basic question – what impact has the present crisis on the convergence process among the OECD countries? The experiences from the Great Depression 1929-1932 showed the negative impact on the convergence. It was due to the globalization retreat as well as policy of the countries favouring the autarchy. The present world economy differs essentially from that of the interwar period. The integration processes, capital flows and mass migration fueled the progress of globalization and made the economy far more interdependent. Finally we will try to show, if the present crisis has a similar effect on the convergence process as the Great Depression had 80 years ago. We will analyze the most important macroeconomic data from the period 2007-2012 and use simple econometric model to settle the relationships and in conclusion we show the similarities and differences between these two economic events.
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tom 20
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nr 4(98)
90-109
PL
Cel: opracowanie ma na celu pomiar efektywności w 37 krajach OECD w roku 2020 za pomocą metody granicznej analizy danych (Data Envelopment Analysis – DEA), a ponadto uszeregowanie efektywnych jednostek decyzyjnych przy użyciu modelu DEA z nadefektywnością. Metodologia: w ramach badania przeprowadzono analizy z wykorzystaniem zorientowanych na nakłady modeli Charnesa, Coopera i Rhodesa (CCR), zorientowanych na nakłady modeli Bankera, Charnesa i Coopera (BCC) oraz tych modeli z nadefektywnością przy użyciu czterech nakładów i trzech wyników. Wyniki: przeprowadzona analiza wykazała, że efektywnością cechuje się czternaście krajów w modelu CCR i dwadzieścia krajów w modelu BCC. Kraje efektywne uszeregowano zgodnie z wynikami modeli z nadefektywnością. Ograniczenia/implikacje badawcze: ograniczeniami badania są analizy oparte na modelach DEA zorientowanych na nakłady oraz to, że zostało ono przeprowadzone w krajach OECD. Oryginalność/wartość: ocena efektywności systemów opieki zdrowotnej zyskała w ostatnich latach na znaczeniu. Wiele krajów podejmuje starania na rzecz poprawy swoich systemów opieki zdrowotnej. Z powodu epidemii, takich jak COVID-19, kraje OECD, podobnie jak wiele krajów na całym świecie, zwiększyły udział wydatków na opiekę zdrowotną w PKB. W związku z tą sytuacją ocena efektywności krajów OECD w dziedzinie zdrowia stała się bardzo istotnym tematem badawczym.
EN
Purpose: This study is aimed at measuring the efficiency of 37 OECD countries for 2020 using the Data Envelopment Analysis (DEA) method. Besides, it is aimed at ranking the efficient decision making units by using the super-efficiency DEA model. Design/methodology/approach: In the study, analyses were carried out with input-oriented Charnes, Cooper and Rhodes (CCR), input-oriented Banker, Charnes and Cooper (BCC) models and super-efficiency models of these models by using 4 inputs and 3 outputs. Findings: As a result of the analysis, 14 countries in the CCR model and 20 countries in the BCC model were efficient. According to the results of the super-efficiency models, the efficient countries were ranked. Research limitations/implications: The limitations of the study are the analyses are based on input-oriented DEA models and the research was conducted in OECD countries. Originality/value: Performance evaluation of health systems has gained importance in recent years. Many countries are making efforts to improve their health systems. Due to epidemics such as COVID-19, OECD countries, like many countries around the world, have increased the share of health expenditures in GDP. Because of this situation, the evaluation of the performance of OECD countries in the field of health has emerged as a very important research topic.
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