scholarly journals An explanation for the Chinese interest in investing in the new EU Member States. A fixed effects panel data analysis

2018 ◽  
Author(s):  
Oana Cristina Popovici
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Member States ◽  
Eu Member States ◽  
New Eu Member States

scholarly journals IMPACT OF HUMAN CAPITAL DEVELOPMENT ON PRODUCTIVITY GROWTH IN EU MEMBER STATES

2018 ◽  
Vol 16 (0) ◽  
pp. 1-12 ◽  
Author(s):  
Alma Mačiulytė-Šniukienė ◽  
Kristina Matuzevičiūtė
Keyword(s):  
Human Capital ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Labour Productivity ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Education Expenditure ◽  
Member States ◽  
Eu Member States ◽  
The Impact

In this research, we investigate the impact of human capital on labour productivity in European Union member states using panel data analysis. Results of the paper are estimated using the Pooled ordinary least squares (OLS) and Fixed effects model (FEM). The results show that human capital is positively significant in improving the growth of labour productivity in the EU. Our estimates also suggest that the impact occurs after three times lags in case of education expenditure.

Determinants of technical efficiency in agriculture in new EU member states from Central and Eastern Europe

2014 ◽  
Vol 64 (2) ◽  
pp. 197-217 ◽  
Author(s):  
Štefan Bojnec ◽  
Imre Fertő ◽  
Attila Jámbor ◽  
József Tóth
Keyword(s):  
Technical Efficiency ◽  
Rural Areas ◽  
Rural Economy ◽  
Large Scale ◽  
Panel Data Analysis ◽  
Farm Size ◽  
Small Scale ◽  
Member States ◽  
Eu Member States ◽  
New Eu Member States

Technical efficiency in agriculture of 10 new EU member states is analysed by Data Envelopment Analysis and econometric panel data analysis. Technical efficiency in agriculture is significantly positively associated with agricultural factor endowments, average farm size, farm specialisation, small-scale farms, and technological change. Foreign direct investments have an ambiguous effect. Reform and institutional developments, large-scale privatisation and price liberalisation, and urban- rural income gap are associated with technical efficiency in agriculture positively. An increase in technical efficiency in agriculture and the development of the rural economy are seen as a strategy to boost the level of living standards in agriculture and in rural areas.

scholarly journals Different convergence rates of new EU member states: Panel data analysis of the causes

2020 ◽  
Vol 11 (2) ◽  
pp. 291-300
Author(s):  
Josip Viskovic ◽  
Pasko Burnac ◽  
Ivan Ramljak
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Convergence Rates ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Real Income ◽  
Key Factors ◽  
Eu Member States ◽  
Determining Factors ◽  
Institutional Convergence

This paper, using panel data analysis, tries to identify factors regarding the different convergence rates of CESEE EU member countries’ real income between 2002 and 2018. Stylized convergence facts are identified and the drivers of economic growth based on production function, i.e. the accumulation of labour and capital and total factor productivity (TFP) growth have been analysed. Moreover, paper takes into account other variables that have been recognized as growth determining factors - trade openness, FDI, labour market and integration level, as well as TFP determining factors - institutional quality, innovation and human capital. Based on the research results trade openness and gross capital formation have been identified as key factors regarding real income growth of analysed countries. Also, it has been confirmed that growth of CESEE countries is strongly affected by the growth of Eurozone. Finally, the authors’ conclusion is that several CESEE countries are facing institutional convergence challenges.

scholarly journals Energy Efficiency of E.U. Member States: A Panel Data Analysis

2020 ◽  
Vol 54 (4/2020) ◽  
pp. 153-171
Author(s):  
DRACEA RALUCA MIHAELA ◽  
IGNAT RALUCA ◽  
TRICA CARMEN LENUTA ◽  
TEODOR CRISTIAN ◽  
CIOBANU LAURA ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Member States

scholarly journals Capital Investments and Manufacturing Firms’ Performance: Panel-Data Analysis

2020 ◽  
Vol 12 (4) ◽  
pp. 1689 ◽  
Author(s):  
Vanja Grozdić ◽  
Branislav Marić ◽  
Mladen Radišić ◽  
Jarmila Šebestová ◽  
Marcin Lis
Keyword(s):  
Data Analysis ◽  
Firm Performance ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Manufacturing Firms ◽  
Capital Investments ◽  
Short Term ◽  
Term Performance

The main goal of this study was to examine the effects of capital investments on firm performance, using panel-data analysis. For this purpose, financial data were gathered for 60 manufacturing firms based in Serbia, in the period from 2004 to 2016. The main research hypotheses were developed in accordance with the definition, nature, and time aspect of capital investments. Therefore, empirical expectation of this study was that the relationship between capital investments and firm performance should be positive—they probably bring losses to the firm in the short term, but they should increase firm performance in the long term. Finally, the results have indeed shown that capital investments have statistically significant negative effect on the short-term performance, but positive effect on the long-term performance of the analyzed firms, while controlling for time-fixed effects and certain internal factors.

Data hiding the truth for the last few years: a panel data analysis of crimes against women

2019 ◽  
Vol 5 (2) ◽  
pp. 132-143
Author(s):  
Aarthee Ragunathan ◽  
Ezhilmaran Devarasan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Violence Against Women ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Ordinary Least Squares ◽  
Content Type ◽  
Thomson Reuters ◽  
Crime Types ◽  
Crimes Against Women

PurposeThe offence against femininity has not only destroyed India’s development but also its future. When it comes down to the most important factor like sex, the social evils like “sati” and “dowry” that had been plaguing our country have been banned in India. India is the most dangerous nation in regard to sexual violence against women, according to the summary of the Thomson Reuters Foundation, 2018. The purpose of this paper is to determine the relationship between the total populations of women with other different types of women crime in all states in India.Design/methodology/approachThis paper will review existing panel data analysis literature and apply this knowledge in finding the highly occurred women crimes in India. Using R software the following models are analysed: pooled ordinary least squares, fixed effects models and random effects models for analysing the women crimes in India.FindingsIn this paper, the authors identify that the fixed effects model is more appropriate for the analysis of women crimes in India.Practical implicationsViolence against women is a social, economic, developmental, legal, educational, human rights and health issue. This paper can be used to find the importance of women crime types. Moreover, the police or legal department can take actions according to the crime types.Originality/valueThere is a lack of literature considering the crimes against women. This will help the society to understand women crime types because the only type of violence that has received much attention by the media is rape. But, through our panel data analysis, we conclude that kidnapping, abduction and dowry death are the most occurred crimes against women in India.

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