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Tytuł:
Health capital and regional development. A panel data approach
Autorzy:
Laskowska, Iwona
Powiązania:
https://bibliotekanauki.pl/articles/654811.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Opis:
The recent studies of economic growth have shown increasing interest in the potential economic profits that improved health condition of populations could bring. The World Health Organization’s reports Macroeconomics and Health: Investing in Health for Economic Development of 2001 and The Contribution of Health to the Economy in the European Union of 2005 significantly contributed to the promotion of health as a factor of economic growth. Both of them suggest that investing in health as a vehicle of economic growth is necessary not only in countries at a low level of economic development, but also in the developed ones. This recommendation arises from the fact that education and health are one of the basic determinants of the quality of human capital. On a micro scale, health is treated as a prerequisite for personal development, enabling the achievement of a satisfactory economic status. In terms of the entire economy, the beneficial influence of good health can manifest itself thorough growing productivity of labour, lower costs of absenteeism caused by sick leaves, and limited costs of medical interventions that altogether may improve social well-being and reduce poverty. Variations in economic results caused by health inequalities can be analysed for the entire economy, a region or with respect to individuals. The presented investigation aimed to verify a hypothesis, according to which the health condition of the regional population can be one of the factors determining regional development. The investigation used a panel sample comprising particular voivodeships as they were between 1999 and 2008. Application of dynamic panel data models allowed identifying a relationship between different health indicators and GDP variations.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2011, 252
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian Inference for State Space Model with Panel Data
Autorzy:
Pandey, Ranjita
Chaturvedi, Anoop
Powiązania:
https://bibliotekanauki.pl/articles/466044.pdf
Data publikacji:
2016
Wydawca:
Główny Urząd Statystyczny
Tematy:
Bayesian analysis
Gibbs sampler
conditional posterior densities
predictive distribution
Opis:
The present work explores panel data set-up in a Bayesian state space model. The conditional posterior densities of parameters are utilized to determine the marginal posterior densities using the Gibbs sampler. An efficient one step ahead predictive density mechanism is developed to further the state of art in prediction-based decision making.
Źródło:
Statistics in Transition new series; 2016, 17, 2; 211-220
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of tourism demand in Greece: a panel data approach
Autorzy:
Agiomirgianakis, George M.
Sfakianakis, George
Powiązania:
https://bibliotekanauki.pl/articles/425243.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
tourism demand
panel data
macroeconometric approach
Opis:
This paper aims at investigating the determinants of tourism demand in Greece over eight years (2004-2011). Tourism is the main industry of Greece as its share in the Greek economy varies from 15% to 20% of GDP whether measured directly or indirectly respectively. We opted for a macroeconometric approach and, in particular, building on the existing literature we used panel data estimation techniques with disaggregated data on the country (or area) of origin combined with macroeconomic aggregates, indicators and (relative) price indices. The specific econometric techniques used take into account both the statistical properties of variables and the differences between the various cross sections. The main conclusion of the paper is that the macroeconometric panel data approach to explaining tourist receipts provides a rather satisfactory model fit, with explanatory variables explaining a significant part of the variability of the dependent variable. Our findings also suggest that certain policy directions identified by Greek governments (both in the present and past), such as enhancing competitiveness and the outward orientation of the economy, may indeed affect positively the prospects of the Greek tourism sector.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 1(43); 15-26
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Some Applications of Panel Data Models in Small Area Estimation
Autorzy:
Nekrašaitė-Liegė, Vilma
Powiązania:
https://bibliotekanauki.pl/articles/465626.pdf
Data publikacji:
2011
Wydawca:
Główny Urząd Statystyczny
Tematy:
Small area estimation
panel-type data
model-based
model-assisted
Opis:
This study uses a real population from Statistics Lithuania to investigate the performance of different types of estimation strategies. The estimation strategy is a combination of sampling design and estimation design. The sampling designs include equal probability design (SRS) and unequal probability designs (stratified SRS and model-based sampling designs). Design-based direct Horvitz-Thompson, indirect model-assisted GREG estimator and indirect model-based estimator are used to estimate the totals in small area estimation. The underlying panel-type models (linear fixed-effects type or linear random-effects type) are examined in both stages of estimation strategies: sample design and construction of estimators.
Źródło:
Statistics in Transition new series; 2011, 12, 2; 265-280
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of corruption: a panel data analysis of Visegrad countries
Autorzy:
Linhartová, Veronika
Halásková, Martina
Powiązania:
https://bibliotekanauki.pl/articles/22443175.pdf
Data publikacji:
2022
Wydawca:
Instytut Badań Gospodarczych
Tematy:
corruption
control of corruption
determinants
panel data analysis
Visegrad countires
Opis:
Research background: Corruption is a phenomenon that has no borders, thus hindering the proper functioning of the social, economic, and legal systems of a given state. As the rankings assessing the level of corruption in various countries show, transition economies are more vulnerable to corruption than countries that have not undergone changes in the political and economic order. The Visegrad group is an example of such countries. Despite their efforts, these countries? governments have yet to match the evaluation of corruption indices for developed European countries. Purpose of the article: This study analyses the determinants of corruption in Visegrad countries to identify which determinants are the most impactful and thus should be the focus of Visegrad countries?governments when creating anti-corruption policies. Methods: Data for the period 1996?2019 from the databases of the World Bank, Transparency International, and the European Central Bank were used for panel data analysis. The study uses a comprehensive set of economic, socio-cultural, and political determinants that can influence corruption. The purpose of this large set of variables is to prevent possible distortion owing to omitted variables. Findings & value added: The results of the analysis of panel data show the main determinants of corruption in Visegrad countries are economic, political, and socio-cultural (phase of economic development, openness of the economy, size of the public sector, degree of urbanization, and women's share in the labour force). A significant effect was also demonstrated in the case of regulatory quality and public sector wages. The findings can serve as a valuable resource for policymakers to develop government policies in individual countries and to implement effective anti-corruption tools.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2022, 17, 1; 51-79
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On prediction of domain total based on balanced panel data
Autorzy:
Żądło, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/658795.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Opis:
W pracy rozważa się predyktory wartości globalnej wykorzystujące do predykcji warto- ści globalnej w pewnym (obecnym, przeszłym a nawet przyszłym) okresie dane z innych okresów. Model nadpopulacji jest szczególnym przypadkiem ogólnego liniowego modelu mieszanego – jest to model z specyficznymi dla elementów populacji składnikami losowymi możliwy do zastoso- wania dla danych wielookresowych. Postać predyktora typu BLU wyprowadzono w oparciu o twierdzenie Royalla (1976) – szeroko stosowane w literaturze podejście Hendersona (1950) nie jest możliwe do zastosowania dla rozważanego modelu nadpopulacji. W rozważanym przypadku wyprowadzono postać MSE w oparciu o twierdzenie Royalla i zaproponowano jego estymatory wykorzystując rezultaty uzyskane przez Żądło (2007). W przypadku estymacji MSE rozważano dwie metody estymacji wariancji składników losowych – metodę największej wiarygodności oraz metodę największej wiarygodności z ograniczeniami. W analizie symulacyjnej uwzględniono problem dokładności predyktora oraz obciążeń estymatorów MSE dla różnych rozkładów składników losowych.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2010, 235
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
High-technology exports and economic growth: panel data analysis for selected OECD countriesHigh-technology exports and economic growth: panel data analysis for selected OECD countries
Autorzy:
Kabaklarli, Esra
Duran, Mahmut Sami
Üçler, Yasemin Telli
Powiązania:
https://bibliotekanauki.pl/articles/499412.pdf
Data publikacji:
2018
Wydawca:
Wyższa Szkoła Biznesu w Dąbrowie Górniczej
Tematy:
High technology export
GDP growth
FDI
Panel cointegration
Opis:
This paper uses a panel cointegration model to analyse the long-term relationship between high-technology exports and economic growth in selected OECD countries in the period from 1989 to 2015. We used high-technology exports (current US$) as the dependent variable and the GDP growth rate, FDI (foreign direct investment), application of patents by residents, and gross capital formation % of GDP as explanatory variables. The export structure of countries is moving increasingly towards technology-intensive products such as ICT (information and communications technology), aerospace, computing and office equipment, electronics, chemical products, pharmaceuticals, and electrical machinery. The export structure has played an important role in the economic growth theories of many countries since the 1960s, as export growth has been associated with faster productivity and GDP growth. We aimed to find out the relationship between high-technology exports and the explanatory variables which we listed for 14 selected OECD countries (Canada, Denmark, Finland, France, Germany, Israel, Korea, the Netherlands, Norway, Switzerland, Sweden, Turkey, the UK, and the USA). According to our empirical results, there is a long-term relationship between high-technology exports and economic growth in selected OECD countries. The empirical results show that an improvement in patent applications and foreign direct investment play a decisive role in upgrading selected OECD countries’ high-tech exports, while growth rate and investment play a negative role in enhancing these countries’ high-tech exports.
Źródło:
Forum Scientiae Oeconomia; 2018, Volume 6 (2018) Issue No. 2: Economic Growth, Innovations and Lobbying; 47-60
2300-5947
Pojawia się w:
Forum Scientiae Oeconomia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
DETERMINANTS OF HUMAN CAPITAL DEVELOPMENT IN AFRICA: A PANEL DATA ANALYSIS
Autorzy:
Shuaibu, Mohammed
Oladayo, Popoola Timothy
Powiązania:
https://bibliotekanauki.pl/articles/488933.pdf
Data publikacji:
2016
Wydawca:
Instytut Badań Gospodarczych
Tematy:
human capital
Africa
health
education
panel data analysis
Opis:
Africa is regarded as the least developed continent in terms of overall development and specifically in terms of human capital development (HCD) efforts. Research on the determinants of HCD in Africa is scanty, as the literature is dominated by country-specific studies as well as group of country studies that primarily focus on the effect of human capital on growth and other economic development parameters. Therefore, this paper investigates the determinants of human capital development in 33 African countries over a 14-year period from 2000 to 2013. The empirical analysis is predicated on Sen’s capability approach that was modified following Binder and Georgiadis (2011) in order to explicitly account for the role of health, infrastructure and institutions as potential drivers of HCD. This is a departure from previous studies that focused primarily on the role of education. In addition to preliminary tests such as line plot, descriptive statistics and correlation analysis carried out, the data is analysed using panel unit root, co-integration and causality techniques. Findings show that all the variables are integrated of order one while HCD and its determinants have a stable long-run equilibrium relationship. Specifically, all the variables significantly influence HCD in the long run, whereas the contemporaneous models suggest that only institutions matter. Utilizing alternative estimators as well as estimation of subsamples, robustness tests reinforce our findings. Therefore, African governments may consider supporting HCD through sustained investment in the education and health sectors. At the same time, short-term gains may be attained through enhanced institutional quality and infrastructure development.
Źródło:
Oeconomia Copernicana; 2016, 7, 4; 523-549
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
International Experience and Labour Market Success: Analysing Panel Data from Poland
Autorzy:
Tomescu-Dubrow, Irina
Powiązania:
https://bibliotekanauki.pl/articles/1810956.pdf
Data publikacji:
2015-09-30
Wydawca:
Polskie Towarzystwo Socjologiczne
Tematy:
international experience
human capital
economic capital
labour market success
Polish Panel
Survey (POLPAN)
Opis:
International experience, defined here as living abroad for two or more months, should enhance individual success on the labour market, ceteris paribus, thanks to the human capital and economic resources that accrue. I use the Polish Panel Survey POLPAN 1988–2008 to examine the impact of having spent at least two months in a foreign country on (a) relative income gains, and (b) the odds of moving into the social class that gained most from the post-communist transformation, employers. In part of the analysis I treat the data as cross-sectional and use OLS regression with lag variables and correction for intra-group correlation. Due to methodological specificity of repeated measurement, I also use panel regression analysis. For both manifestations of individual success, results strongly support the hypothesis of the positive impact of international experience. They also show that international experience is especially valuable for Poles who acquired basic business skills during state socialism.
Źródło:
Polish Sociological Review; 2015, 191, 3; 259-276
1231-1413
2657-4276
Pojawia się w:
Polish Sociological Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial Pseudo Panel Data Models with an Application to Mincer Wage Equations
Autorzy:
Güris, Selahattin
Aydin, Gizem Kaya
Powiązania:
https://bibliotekanauki.pl/articles/2119918.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
spatial econometrics
pseudo panel data
Mincer wage equations
Opis:
The studies using Mincer equations are generally applied to cross-sectional data at the micro-level. There are however limited studies conducted with macro or panel data for wage equations. Pseudo panel data methods can be applied to empirical studies by creating cohorts from repeated cross-sectional data in the absence of genuine panel data. Difference in both the human and labour resources according to the spatial positions may also affect the prediction of the wage equations. We aim to introduce the application of spatial pseudo panel models by creating cohorts according to the birth years of employees and regions in which they live from the Turkish household labour survey for the period 2010– 2015. As a result, we find that the spatial autocorrelation model is appropriate for wage equations of Turkey. We also find that return of education on wages is 11% while return of experience on wages is 4%.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2022, 1; 37-56
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wage convergence on the county-level in Poland: a panel data approach
Autorzy:
Ferens, E.
Powiązania:
https://bibliotekanauki.pl/articles/37296.pdf
Data publikacji:
2018
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Opis:
Konwergencja wynagrodzeń na poziomie powiatów w Polsce: podejście panelowe
Źródło:
Acta Scientiarum Polonorum. Oeconomia; 2018, 17, 4
1644-0757
Pojawia się w:
Acta Scientiarum Polonorum. Oeconomia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Determinants of Total Factor Productivity in Polish Subregions. Panel Data Analysis
Autorzy:
Dańska-Borsiak, Barbara
Laskowska, Iwona
Powiązania:
https://bibliotekanauki.pl/articles/633085.pdf
Data publikacji:
2012-12-01
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Opis:
The significant role of TFP in stimulating the long-run economic development induces researchers to seek for the sources of the TFP growth. The mail goals of the paper are: to estimate the level of TFP in the years 2003-2009 at the level of subregions, and to define the factors which determine this estimated TFP level. The first hypothesis being verified is, that the role of the quality of human capital in stimulating long-run economic growthis crucial and can be measured by the model. The second hypothesis is, that there are some factors affecting the TFP level which are common in all subregions.
Źródło:
Comparative Economic Research. Central and Eastern Europe; 2012, 15, 4; 17-29
1508-2008
2082-6737
Pojawia się w:
Comparative Economic Research. Central and Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling road traffic safety indices by means of regression with panel data
Autorzy:
Brzozowska-Rup, Katarzyna
Nowakowska, Marzena
Powiązania:
https://bibliotekanauki.pl/articles/1818982.pdf
Data publikacji:
2020
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
longitudinal data
road accidents
road accident casualties
fixed effects models
dane longitudinalne
wypadki drogowe
ofiary wypadków drogowych
Opis:
Although the occurrence of road accidents and the number of road accident casualties in almost all Polish voivodeships has decreased over the last few years, the rate of this change varies considerably from region to region. To provide a better understanding of such a tendency, panel data regression models are proposed to conduct this pilot research which evaluates the relative performance of Polish regions in terms of their road traffic safety. Panel data are multi-dimensional data which involve measurements over time. In the research, a voivodeship is a unit analysed at a group level, whereas a year is a unit analysed at a time level. A two-way error component regression model has been applied to survey the impact of regressors, the group effects, and time effects on a dependent variable. The analysis has been conducted using data acquired from the Statistics Poland Local Data Bank website, as well as from the General Directorate for National Roads and Motorways. The panel data from 16 regions in Poland and the 2012–2018 period have been investigated. The examined models refer to road traffic safety indices defined based on the following characteristics: the number of road accidents, the number road fatalities, and the number of people injured. The results of all the three models indicate a negative effect as regards the GDP per capita, (car) motorisation rate, the indicator of government expenditure for current maintenance of national roads, and the road length per capita. A positive association has been found between the truck motorisation rate and the indicator of local government expenditure on roads. The impact of the region’s urbanisation indicators on road safety is ambiguous as, on the one hand, its increase causes a reduction in the road accident and accident injury indices, but, on the other hand, it produces a rise in the accident fatality index. In the models, the significance of time effects has been identified; a decreasing time trend suggests a general improvement in road safety from year to year. Most of the group effects have turned out to be highly significant. However, the effects differ as regards both the road accident and the accident injury indices in magnitude and direction.
Źródło:
Engineering Management in Production and Services; 2020, 12, 4; 40--51
2543-6597
2543-912X
Pojawia się w:
Engineering Management in Production and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Are subsidies for Polish enterprises effective: empirical results based on panel data
Autorzy:
Gosk, Beata
Nehrebecka, Natalia
Powiązania:
https://bibliotekanauki.pl/articles/1356731.pdf
Data publikacji:
2020-03-25
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
Tematy:
subsidies for companies/public
evaluation study
Opis:
The objective of this article was to identify and evaluate the effectiveness of subsidies used by companies, as well as to develop an approach to assess the effectiveness of subsidies for the manufacturing sector of Polish economy. In order to organise the results obtained by researchers dealing with the efficacy of subsidies, a meta-analysis, i.e. a quantitative assessment of empirical literature, was carried out. Based on the data from the financial statements of medium-sized and large Polish companies, published in Monitor Polski B (a former Official Journal of the Republic of Poland), an evaluation study was conducted to verify the research hypotheses. Based on the obtained results, it was found that the aid in the form of subsidies did not have a significant impact on the productivity of the subsidised companies, growth rate of assets or profitability.
Źródło:
Central European Economic Journal; 2019, 6, 53; 108 - 131
2543-6821
Pojawia się w:
Central European Economic Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Economic situation and occupational accidents in Poland: 2002–2014 panel data regional study
Autorzy:
Łyszczarz, Błażej
Nojszewska, Ewelina
Powiązania:
https://bibliotekanauki.pl/articles/2161780.pdf
Data publikacji:
2017-11-03
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
occupational hazards
occupational health and safety
gender differences
accident at work
business cycle
panel data model
Opis:
Objectives: Occupational accidents constitute a substantial health and economic burden for societies around the world and a variety of factors determine the frequency of accidents at work. The aim of this paper is to investigate the relationship between the economic situation and the rate of occupational accidents in Poland. Material and Methods: The analysis comprised data for 66 Polish sub-regions taken from the Central Statistical Office’s Local Data Bank. The regression analysis with panel data for period 2002–2014 was applied to identify the relationships involved. Four measures of accidents were used: the rates of total occupational accidents, accidents among men and women separately as well as days of incapacity to work due to accidents at work per employee. Four alternative measures assessed the economic situation: gross domestic product (GDP) per capita, average remuneration, the unemployment rate and number of dwelling permits. The confounding variables included were: employment in hazardous conditions and the size of enterprises. Results: The results of the regression estimates show that the number of occupational accidents in Poland exhibits procyclical behavior, which means that more accidents are observed during the times of economic expansion. Stronger relationships were observed in the equations explaining men’s accident rates as well as total rates. A weaker and not always statistically significant impact of economic situation was identified for women’s accident rates and days of incapacity to work. Conclusions: The results have important implications for occupational health and safety actions. In the periods of higher work intensity employers should focus on appropriate training and supervision of inexperienced workers as well as on ensuring enough time for already experienced employees to recuperate. In terms of public health actions, policy makers should focus on scrutinizing working conditions, educating employers and counteracting possible discrimination of injured employees. Int J Occup Med Environ Health 2018;31(2):151–164
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2018, 31, 2; 151-164
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Information asymmetry, liquidity and the dynamic volume-return relation in panel data analysis
Autorzy:
Kliber, Paweł
Garsztka, Przemysław
Powiązania:
https://bibliotekanauki.pl/articles/583899.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
information asymmetry
liquidity
stocks
panel regression
Opis:
In the paper we investigate the dynamic relation between returns and volume of individual stocks traded on the Warsaw Stock Exchange. Theoretical models suggest that this relation reveals the information asymmetry in the market and the role of private information. Unlike other works, we use dynamic regression to obtain the coefficients for 52 stocks, assuming that coefficients for individual stock can vary from month to month. Then we use panel regression with random effects to test the relationship between coefficient of information asymmetry and liquidity. We find an evidence supporting the compliance of measure of information asymmetry, especially for medium and small capitalization companies.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2018, 519; 122-134
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Panel Data Analysis of the Creation of Green Economy in the Baltic States
Autorzy:
Žukauskienė, Joana
Snieška, Vytautas
Navickas, Valentinas
Powiązania:
https://bibliotekanauki.pl/articles/40621644.pdf
Data publikacji:
2023-12-31
Wydawca:
Politechnika Częstochowska
Tematy:
carbon dioxide
fossil fuels
green economy
panel data analysis
Opis:
Greenhouse gases are gases that increase in concentration because of human activity. Carbon dioxide accounts for the largest share of greenhouse gas emissions. The ecological environment can be improved and global warming can be mitigated by reducing carbon dioxide levels. Today, the focus around the world is on CO2 emissions into the environment. The Baltic countries that produce more electricity, such as Estonia, emit more carbon dioxide into the environment, while countries that produce less electricity, such as Lithuania and Latvia, emit less. Application of the panel data analysis of GDP per capita and CO2 emissions in millions of tonnes for the years 2000-2021 for the selected countries revealed that the calculated regression constant and coefficient for the independent variable GDP per capita are rather unreliable, which means that there is no common regression function for all these countries, but the differences in the residuals give valuable insight in the specifics of each country.
Źródło:
Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie; 2023, 1, 52; 193-202
2083-1560
Pojawia się w:
Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fiscal Sustainability Hypothesis Test in Central and Eastern Europe: A Panel Data Perspective
Autorzy:
Owusu, Benjamin
Powiązania:
https://bibliotekanauki.pl/articles/1964897.pdf
Data publikacji:
2021-10-27
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
Tematy:
Fiscal Sustainability
Cointegration
Government Revenue
Government Expenditure
Opis:
This paper assesses the fiscal sustainability hypothesis for 10 Central and Eastern European countries (CEEC) between 1997 and 2019. The study adopts very recent panel econometric techniques which accounts for issues of structural breaks and cross-sectional dependence in the data generating process to examine the cointegration between government revenue and expenditures. Preliminary results show that revenues and expenditures do not have a long-run relationship and hence a rejection of the sustainability hypothesis. As a next step, we discriminate between structural and cyclical components of revenues and expenditures in order to place emphasis on the structural component. We argue that the structural component of fiscal variables represents the actual long term behaviour of the policymaker. Further results indicate that structural revenues and expenditures have a long-run relationship however with a slope coefficient less than unity which implies sustainability in the weaker sense. At that point, expenditures exceed revenues and if this continues for a long time the government may find it difficult to market its debts in the long run. This result suggests that the fiscal authorities in CEEC must therefore do more by taking long term actions to counteract the rising fiscal deficit problems.
Źródło:
Central European Economic Journal; 2021, 8, 55; 285-312
2543-6821
Pojawia się w:
Central European Economic Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Globalization and Human Development in Post-Transition Countries: Empirical Evidence from Panel Data
Autorzy:
Cieślik, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/488856.pdf
Data publikacji:
2014
Wydawca:
Instytut Badań Gospodarczych
Tematy:
globalization
human development
post-transition countries
Opis:
In this paper we investigate empirically the relationship between globalization and human development in post-transition countries using annual panel data for the 1971-2010 period. We show that there exists a positive and statistically significant relationship between globalization and human development in the case of unconditional regressions. This relationship remains positive and signifi-cant once the process of European and regional integration is controlled for. However, when differences in the level of economic development are taken into account the globalization variable loses its statistical significance.
Źródło:
Oeconomia Copernicana; 2014, 5, 3; 7-27
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimation of technical efficiency by application of the SFA method for panel data
Autorzy:
Bezat, A.
Powiązania:
https://bibliotekanauki.pl/articles/573024.pdf
Data publikacji:
2011
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
efficiency
stochastic frontier analysis
Cobb-Douglas function
translog function
analysis method
business firm
technical efficiency
frontier production function
Opis:
Estimation of the technical efficiency which measures the ability of a company to obtain the maximum output from given inputs or to use the minimum input to achieve given outputs has been considered. Stochastic methods were chosen because of their wide application in research in the whole world. The Translog and Cobb-Douglas stochastic frontiers were fitted in order to estimate the efficiency of milling companies in Poland.
Źródło:
Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego; 2011, 11(26), 3
2081-6960
Pojawia się w:
Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimation of Energy Intensity in Indian Iron and Steel Sector: A Panel Data Analysis
Autorzy:
Sharma, Anukriti
Roy, Hiranmoy
Dalei, Narendra Nath
Powiązania:
https://bibliotekanauki.pl/articles/1194459.pdf
Data publikacji:
2019-07-02
Wydawca:
Główny Urząd Statystyczny
Tematy:
energy intensity
Indian Iron and Steel sector
Energy Conservation Act
Perform-Achieve-Trade Mechanism
panel data
Opis:
India is the world's third largest consumer of primary energy, which includes fossil fuels like coal, oil, etc. The total primary energy consumption in India in 2015 was 107 Mtoe. India's total final energy consumption was estimated at 527 Mtoe of which the industrial sectors consumed about 30% (185 Mtoe) in 2013. The Iron and Steel sector is one of the most energy-intensive industries, consuming about 25% of the total industrial energy consumption. The energy consumption in Indian Iron and Steel sector is on the declining trend. It declined from 10 GCal/tcs in 1990 to 6.9 GCal/tcs in 2010-11. On average, iron & steel plants spend about 20-40% of the total manufacturing cost to meet their energy demands. In fact, energy cost is considered as a major factor in pricing of the steel. Energy Conservation Act, 2001 (ECA), and the formulation of Bureau of Energy Efficiency are important initiatives taken up by government in order to reduce energy consumption by various sectors in the Indian economy. Another important initiative is launching of first of its kind market-based mechanism, Perform, Achieve and Trade (PAT) mechanism in 2010 particularly targeting the energy consumption by the industrial sector of the economy. Phase-I for PAT ran from 2012-015 including eight most energy-intensive sectors under Indian Industrial sector, with Iron and Steel sector being a prominent sector. The objective of this paper is to empirically estimate the energy intensity of Indian Iron and Steel sector, also accounting for the impact of ECA and PAT Phase-I in dummy variable form. The results indicate that the decline in energy consumption in this sector until 2011 can also be attributed to Energy Conservation Act implemented in the year 2001 along with other factors. This is empirically confirmed by our results that ECA has a significant impact on reduction of energy intensity of the steel firms. PAT does not seem to have a considerable impact on energy intensity alone but in the years where both PAT and ECA are prevalent, i.e. from 2012 to 2015, there seems to be a significant impact of around 0.050 reduction in energy intensity, as accounted by different models in this paper. There is one more observation from the empirical results that profit margin intensity was found to be negatively related to energy intensity implying more profitable firms invest more in energy efficiency.
Źródło:
Statistics in Transition new series; 2019, 20, 2; 107-121
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The nexus between the financial system and economic growth: GMM estimation with panel data
Autorzy:
Gemen, Simon
Powiązania:
https://bibliotekanauki.pl/articles/518138.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Gdański. Wydział Ekonomiczny
Tematy:
economic growth
financial system
financialisation
GMM estimation
panel analysis
Opis:
This paper investigates the relationship between the financial system and economic growth. Understanding this nexus is important in order to draft and implement policy measures that safeguard economic welfare based on sound financial markets. In spite of the growing number of scholars who research in this area, there is a substantial amount of unanswered questions and a lively debate with contrasting views on basic processes. The main research question that will be answered in this paper is: What is the relationship between the financial system and economic growth? This question also answers which variables of the financial system have an impact on the real economy, which variables are most relevant contributors to economic growth and if differences between different groups of countries can be identified. The analysis is executed using the Arellano‐ Bond generalized method of moments (GMM) estimator based on panel data. The dataset consists of macroeconomic control variables and financial stock market and banking system variables from 74 countries over the time period 1988–2014. The results vary substantially between the panels under analysis. At the same time it can be said, that market capitalisation is the strongest predictor of economic growth. The analysis further shows that the banking system variables are largely negatively correlated with economic growth.
W artykule badana jest relacja zachodząca między systemem finansowym a wzrostem gospodarczym. Zrozumienie tej relacji jest bardzo ważne przy opracowywaniu i wdrażaniu programów politycznych, mających na celu rozwój ekonomiczny oparty na solidnej bazie rynków finansowych. Mimo coraz większej liczby naukowców, którzy badają tę dziedzinę, znaczna ilość pytań pozostaje bez odpowiedzi, a ożywiona debata uwypukla przeciwstawne poglądy na temat podstawowych procesów. Główne pytanie badawcze brzmi: Jaki związek występuje pomiędzy systemem finansowym a wzrostem gospodarczym? To pytanie pozwala udzielić odpowiedzi także na to, jakie zmienne systemu finansowego wpływają na realną gospodarkę, które zmienne uchodzą za najistotniejsze czynniki wzrostu gospodarczego, oraz czy można zidentyfikować różnice pomiędzy różnymi grupami krajów. Analiza została przeprowadzona za pomocą uogólnionej metody momentów (GMM) Arellano‐Bonda na podstawie danych panelowych. Zestaw danych składa się ze zmiennych kontrolnych gospodarki oraz ze zmiennych finansowych z 76 krajów w okresie 1988–2014 r. Wyniki analizy różnią się znacznie pomiędzy panelami. Jednocześnie można stwierdzić, że kapitalizacja giełdowa jest najsilniejszym czynnikiem wzrostu gospodarczego. Analiza pokazuje ponadto, że zmienne systemu bankowego są negatywnie skorelowane ze wzrostem gospodarczym.
Źródło:
Zeszyty Studenckie Wydziału Ekonomicznego „Nasze Studia”; 2017, 8; 200-208
1731-6707
Pojawia się w:
Zeszyty Studenckie Wydziału Ekonomicznego „Nasze Studia”
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza danych panelowych z wykorzystaniem głębi regresyjnej
Regression Depth Based Analysis of Panel Data
Autorzy:
Kosiorowski, Daniel
Powiązania:
https://bibliotekanauki.pl/articles/906771.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
Głębia regresyjna
Dane panelowe
Liniowy model mieszany
Opis:
In this paper a robust approach to the linear mixed model parameters estimation is proposed. The approach appeals to the regression depth concept. Selected statistical features of the proposition in a comparison to a generalized least squares estimator are investigated using Monte Carlo approach.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2012, 271
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is Foreign Direct Investment a Real Driving Force of Economic Growth? A Panel Data Analysis
Autorzy:
Khalilov, Latif
Yi, Chae-Deug
Powiązania:
https://bibliotekanauki.pl/articles/2075471.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
economic growth
FDI
human capital
research and development
panel analysis
Opis:
The purpose of this empirical study is to find the relationship between economic growth and foreign direct investment (FDI) in the Commonwealth of Independent States (CIS) and Central and Eastern European Countries (CEECs) using endogenous technological change model. First, we combine the CIS and CEECs into one group to test our hypothesis, and then we test each group separately to account for heterogeneity and draw a conclusion whether FDI is indeed a driving force of the economy. Panel data have been used from 2003 to 2014 and different panel estimation methods have been applied. Additionally, we use the Generalized Method of Moments (GMM) panel estimator to control for endogeneity problem. The present study finds that FDI is an important factor explaining economic growth in the pooled group and CEECs, although it is not significant in the case of CIS.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2020, 3; 273-299
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Factors Affecting the Development of Voluntary Pension Schemes in CEE Countries: A Panel Data Analysis
Autorzy:
Marcinkiewicz, Edyta
Powiązania:
https://bibliotekanauki.pl/articles/1357416.pdf
Data publikacji:
2018-12-18
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
Tematy:
CEE countries
pension system
third pillar
voluntary pensions
panel regression
cross-country analyses
Opis:
The study provides some quantitative information on voluntary pension plans in 10 CEE countries obtained from various local sources. The comparative analysis shows that there is a considerable variation in this group in terms of participation and contributions to the voluntary pension plans. In addition, this study empirically examines several factors that can possibly affect the development of voluntary pensions: income per capita and poverty rate, income inequality, replacement rate from the pension system, education attainment, interest rate and demographic burden. It uses a panel regression framework for the period of 2006–2014. The results reveal that, in the case of participation in voluntary pension plans, only income level per capita is associated with a greater number of pension plan members. As far as contributions are concerned, education seems to be the most important determinant of additional pension savings. Other factors do not seem to explain well both of the studied variables reflecting the development of voluntary pension schemes. However, as individual fixed effects are proven to be significant in the estimated models, one could conclude that country-specific characteristics play a significant role in explaining the development of voluntary pension schemes. They can be referred to the design and parametric settings of the non-mandatory pension system.
Źródło:
Central European Economic Journal; 2017, 3, 50; 26 - 40
2543-6821
Pojawia się w:
Central European Economic Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-25 z 153

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