scholarly journals Nedarbo lygio sąsajos su ekonominiais rodikliais Lietuvoje

2015 ◽  
Vol 37 (2) ◽  
pp. 221-230 ◽  
Author(s):  
Ilona Kiaušienė ◽  
Inga Vidrevičienė
Keyword(s):  
Unemployment Rate ◽  
Secondary Data ◽  
Economic Benefits ◽  
Economic Indicators ◽  
Research Assessment ◽  
The European Union ◽  
Labor Market Policies ◽  
Territorial Differentiation ◽  
Per Capita ◽  
The Relationship

High unemployment rate is one of the most pressing social and economic problems which are preventing residents make good use of the economic benefits. Although one of the main purposes of the European Union and Lithuania – to increase employment, statistical data show that the unemployment rate remains relatively high and in different regions of Lithuania is not the same. The aim of the work - analyse changes the level of unemployment in the regions of Lithuania and to determine a link between the level of unemployment and to economic indicators. The methodics of research: assessment of the territorial unemployment rate differentiation consists of three phases: 1) identify the territorial differentiation of unemployment and the reasons identified in the employment and labor market policies to reduce unemployment; 2) examined the unemployment trend in Lithuania; 3) set the relationship between the level of unemployment and selected economic indicators. For reserach was used the secondary data of Lithuanian Department of Statistics. The period of research 2009–2014 year. The results of research showed that unemployment rate in the analyzed period changed mostly in counties of Klaipeda, Telsiai and Panevezys. The unemployment rate in the four counties – Panevezys, Siauliai, Telsiai and Utena was higher than our overall national average. We have analyzed the relationship between unemployment and foreign direct investment per capita, material investments per capita, Lithuanian goods exports per capita. It confirmed that chosen economic indicators had a significant impact on the unemployment rate only in some counties during the analyzed period.

scholarly journals THE CONTRIBUTION OF MIGRATION TO ECONOMIC GROWTH: THE EXAMPLE OF THE CITY OF ZAGREB

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Vinko Miličević ◽  
Danijel Knežević ◽  
Zoran Bubaš
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Economic Activity ◽  
Economic Benefits ◽  
Gdp Per Capita ◽  
The European Union ◽  
Per Capita ◽  
The Republic ◽  
The Impact ◽  
The City

The problems in this paper belong to the field of migration and economy. The connection between migration and the economy has been proven on a global level, and as far as the Republic of Croatia is concerned, it is especially important to observe it through the City of Zagreb, which is the most important migration and economic center in the Republic of Croatia. Also, the accession of the Republic of Croatia to the European Union emphasized the observation and research of this connection because it created the preconditions for freer movement and employment of the population of the Republic of Croatia and the City of Zagreb within the European Union. The aim of this paper is to determine the contribution of migration to the economic growth of the City of Zagreb. The hypothesis presented in the paper is that there is a significant contribution of migration to the economic growth of the City of Zagreb. The disposition of the paper consists of six parts. The introduction explains the relevance of the topic, states the aim of the paper and hypotheses, explains the empirical part, the contribution of the paper and the disposition. The second part of the paper refers to the theoretical framework of the impact of migration on economic growth. The third part of the paper presents the migration processes of the City of Zagreb in the period from 2011 to 2018. The fourth part deals with economic activity in the City of Zagreb in the period from 2011 to 2017. The observed indicators of economic activity in the City of Zagreb are GDP and GDP per capita, and the graph in this part of the paper shows that GDP and GDP per capita in the observed period are higher at the end of the period than at the beginning. The fifth part of the paper refers to the empirical research of the contribution of migration to the economic growth of the City of Zagreb. The empirical part of the paper is based on correlations and regression analyses. This paper proves the hypothesis because the results indicate a significant impact of the variables of total and external migration on the GDP of the City of Zagreb and GDP per capita of the City of Zagreb. Decision-makers in the City of Zagreb can use the results of the research as a basis for maximizing the economic benefits they can get from migration. The conclusion provides an overview of the aim of the work, the results of the research, the limitations, the implications and the recommendations for future research.

scholarly journals ANALISIS PERTUMBUHAN EKONOMI DAN KETIMPANGAN DISTRIBUSI PENDAPATAN PROVINSI BALI

2020 ◽  
Vol 3 (2) ◽  
pp. 335-344
Author(s):  
Rendi Kurniawan ◽  
Syamsul Huda
Keyword(s):  
Income Distribution ◽  
Calculation Result ◽  
Capita Income ◽  
Secondary Data ◽  
Strong Relationship ◽  
Kuznets Curve ◽  
Per Capita ◽  
Typology Analysis ◽  
The Relationship ◽  
Index Calculation

This study aims to determine the Regency / City Classification in Bali Province based on the Klassen Typology, the condition of income distribution inequality between districts / cities, the relationship between income distribution inequality with per capita income, and whether the relationship forms the U-Reverse Kuznets Curve. This research is an analysis of secondary data obtained from BPS Bali Province. The analytical model used is Klassen Typology analysis, Williamson Index, Product Moment Correlation (Pearson). Klassen's Typology Results, Badung Regency and Denpasar City are included in Quadrant I area, Gianyar Regency is included in Quadrant III area, and the remaining 6 Regencies are included in Quadrant IV area. Furthermore, the Williamson Index Calculation in the Year of Observation shows that there is an imbalance in the Province of Bali which shows a downward trend. While the calculation result of Product Moment Correlation (Pearson) shows a very strong relationship between the Williamson Index and the Per capita GRDP and is negative, but the relationship does not form the Kuznets Curve to be a U-Reverse letter.

The Relationship between Financial Development and Unemployment in Selected Countries of the European Union

2017 ◽  
Vol 25 (2) ◽  
pp. 307-319 ◽  
Author(s):  
Serhan Çiftçioğlu ◽  
Murad A. Bein
Keyword(s):  
Financial Development ◽  
Unemployment Rate ◽  
Causal Effect ◽  
Annual Data ◽  
The European Union ◽  
Explanatory Variables ◽  
Panel Regressions ◽  
Causality Tests ◽  
Proxy Measure ◽  
The Relationship

This article empirically examines the relationship between alternative measures of financial development and the unemployment rate in a selected group of ten EU countries. Using annual data for the sample period of 1991–2012, we first perform different panel regressions (using averaged and non-averaged versions of data) for unemployment rate. These panel regressions are based on a regression equation that includes inflation rate and growth rate of GDP, in addition to the level of financial development, as explanatory variables. Secondly, we apply Granger causality tests to investigate the nature of the causality between financial development and the unemployment rate for each country in our sample. The empirical findings suggest that unemployment rate and financial development are negatively correlated, and there is a statistically significant causal effect of financial development on unemployment in certain countries. However, the results are not robust to the choice of proxy measure for financial development.

scholarly journals MEASURING SOCIO-ECONOMIC INDICATORS FOR CLIMATIC ANALYSIS

2017 ◽  
Vol 15 (1) ◽  
Author(s):  
Illyani Ibrahim
Keyword(s):  
Urban Area ◽  
Human Activities ◽  
Secondary Data ◽  
The State ◽  
Economic Indicators ◽  
Socioeconomic Indicators ◽  
Climate Condition ◽  
Socioeconomic Variables ◽  
The Relationship

Socio-economic indicators are important indexes to measure the effect of human activities towards climate. This paper aims to study on the two main socioeconomic indicators for the urban area, namely population and GDP, to determine the relationship between these variables and climate condition. The State of Selangor, Malaysia was chosen as the study area as this state is among the highest GDP contributors to the country. Secondary data was used for this study by utilising datasets from Statistical Department and Department of Meteorology. The model derived shows that climate condition is moderately dependence of population and GDP. Further analysis can focus on more important socioeconomic variables which may contributed to the climate condition in the urban area.

The relationship between brand strength and tourism intensity: empirical evidence from the EU capital cities

2016 ◽  
Vol 10 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Josip Mikulić ◽  
Katarina Miličević ◽  
Damir Krešić
Keyword(s):  
Secondary Data ◽  
Competitive Advantages ◽  
The European Union ◽  
Brand Strength ◽  
Destination Branding ◽  
Content Type ◽  
Capital Cities ◽  
Destination Brand ◽  
The Relationship ◽  
Research Show

Purpose – The purpose of this paper is to analyze the relationship between brand strength and tourism intensity indices and to determine to what extent the implementation of the branding process can have an impact on building a destination’s brand strength and tourism economic performance in the European Union capital cities. Design/methodology/approach – For the purpose of this study, secondary data on brand strength and tourism intensity for a sample of 20 European capital cities were used. Correlation analysis between brand strength and tourism intensity was then performed by using a cross-section analysis design. Findings – The findings of this research show that destination brand strength is indeed significantly and positively related to tourism intensity. Originality/value – This paper concludes that destination branding process is an important factor for creating and maintaining competitive advantages among capital cities on the mature and saturated European tourism market.

scholarly journals Longitudinal Association of Economic Growth with Lung Function of Chinese Children and Adolescents over 30 Years: Evidence from Seven Successive National Surveys

2021 ◽  
Vol 18 (12) ◽  
pp. 6592
Author(s):  
Xiaomei Gan ◽  
Kehong Yu ◽  
Xu Wen ◽  
Yijuan Lu
Keyword(s):  
Economic Growth ◽  
Lung Function ◽  
Children And Adolescents ◽  
Economic Indicators ◽  
Gdp Per Capita ◽  
National Surveys ◽  
Longitudinal Association ◽  
Per Capita ◽  
The Relationship ◽  
Chinese Children And Adolescents

(1) Background: Recent studies reported that decrease in lung function of Chinese children and adolescents continues to decline, although the change has been insignificant and has reached a plateau. However, studies have not explored the relationship between lung function and economic development in China. This study sought to explore the longitudinal association between socio-economic indicators and lung function; (2) Method: Data were obtained from seven successive national surveys conducted by the Chinese National Survey on Students’ Constitution and Health from 1985 to 2014. Lung function of school-age children (7–22 years) was determined using forced vital capacity (FVC). GDP per capita and urbanization ratio were used as economic indicators. A fixed-effects model was employed to examine the longitudinal association after adjusting for height, weight, and time trends; (3) Results: Socio-economic indicators showed a U-curve relationship with lung function of boys and girls from urban and rural areas. Lung function initially decreased with GDP per capita or urbanization ratio and reached a minimum. Lung function then increased with increase in GDP per capita or urbanization ratio. The findings indicate that the relationship between economic growth and lung function is different in different development stages. In less-developed provinces, economic growth was negatively correlated with lung function, whereas, in developed provinces, economic growth was positively correlated with lung function; (4) Conclusion: The findings of the current study show that economic growth has significantly different effects on lung function at different economic levels. Therefore, governments should improve lung health in children and adolescents from low and middle economic regions.

scholarly journals MEASURING SOCIO-ECONOMIC INDICATORS FOR CLIMATIC ANALYSIS

2017 ◽  
Vol 15 ◽  
Author(s):  
Illyani Ibrahim
Keyword(s):  
Urban Area ◽  
Human Activities ◽  
Secondary Data ◽  
The State ◽  
Economic Indicators ◽  
Socioeconomic Indicators ◽  
Climate Condition ◽  
Socioeconomic Variables ◽  
The Relationship

Socio-economic indicators are important indexes to measure the effect of human activities towards climate. This paper aims to study on the two main socioeconomic indicators for the urban area, namely population and GDP, to determine the relationship between these variables and climate condition. The State of Selangor, Malaysia was chosen as the study area as this state is among the highest GDP contributors to the country. Secondary data was used for this study by utilising datasets from Statistical Department and Department of Meteorology. The model derived shows that climate condition is moderately dependence of population and GDP. Further analysis can focus on more important socioeconomic variables which may contributed to the climate condition in the urban area.

scholarly journals Trust and socio-economic indicators: model including religion factor

2018 ◽  
Keyword(s):  
Neural Network ◽  
Correlation Analysis ◽  
Interpersonal Trust ◽  
Economic Indicators ◽  
Gdp Per Capita ◽  
General Index ◽  
The Neural Network ◽  
Per Capita ◽  
The Relationship ◽  
Working Hypotheses

The article is concerned with the following issues: definitions, indicators of trust were reviewed; the working hypotheses of the research were formed; the choice of factors related to the trust indices was made; cluster analysis of the relationship between individual trust indices and economic indicators was carried out; a correlation analysis of the relationship between individual trust indices and socio-cultural indicators was conducted; a neural network for modeling the general index of trust based on a well-founded set of economic and socio-cultural indicators was developed. The hypothesis about the influence of socio-cultural factors on trust and out of which there was distinguished a relation to a specific religion. By means of correlation analysis and neural networks, it was shown that Protestantism and Catholicism are the most significant religions that affect the general index of interpersonal trust. However, atheism has a more significant impact. Following 198 observations, each of which represented the country for a given year in the period from 1995 to 2014, the neural network produced satisfactory results in forecasting the total trust index on the basis of the following factors: GDP per capita, GINI coefficient, atheism (percentage of population, support such an attitude to religion). The neural network recognized 89.9% of the data and 90% of the test set indicating that the network got adjusted and could be used for modeling. The scatter diagram for a 5% error indicates that most of the data is within the required value. But it should be noted, that the model overestimates trust in Ukraine at the end of the analyzed period. This gives grounds for the assumption that in Ukraine there are additional factors that negatively affect interpersonal trust.

scholarly journals Youth Unemployment and Terrorism in Nigeria: The Case of “Boko Haram”

2019 ◽  
Vol 8 (2S9) ◽  
pp. 442-449
Keyword(s):  
Unemployment Rate ◽  
Secondary Data ◽  
Youth Unemployment ◽  
High Rate ◽  
Boko Haram ◽  
Armed Robbery ◽  
Nigerian Government ◽  
The Relationship ◽  
Selfish Interest ◽  
Northeast Nigeria

The increasing social vices in Nigeria such as kidnapping, armed robbery, political thuggery and terrorism are indicators of a national doom. Kidnappings are done for ransom from the victims, while armed robbery, political thuggery, and terrorism are engaged for financial gains and selfish interest. These criminal activities negatively affect the peace, security, and development of the nation. This study examines the relationship between youth unemployment and Boko Haram terrorism in Nigeria. This study relies on secondary data and adopted the frustration-aggression theory as its theoretical framework. The study revealed that high rate of youth unemployment in northeast Nigeria has provided foot soldiers for the Boko Haram elites. More so, available data show youth unemployment rate in Nigeria is so high, and these criminal engagements are attributed to it. As a way forward, the study recommends amongst others that, the Nigerian government should identify the causes of youth unemployment and intensify efforts at youth unemployment reduction as such efforts will reduce poverty and take care of other needs of the youths.

scholarly journals Convergence Analysis of Economic Growth in South Kalimantan Province 2011-2019

JEJAK ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 304-315
Author(s):  
Wira Yasari
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Pearson Correlation ◽  
Secondary Data ◽  
Theil Index ◽  
Income Per Capita ◽  
Per Capita ◽  
Index Value ◽  
Analytical Tools ◽  
The Relationship

This study aims to analyze the convergence of economic growth in South Kalimantan Province in 2011-2019 based on the level of income per capita. The population of this research is the districts in South Kalimantan Province. Subjects take in the form of levels of income per capita with secondary data sourced from BPS. The analytical tools used are economic growth, Theil index, Williamson index, and Klassen typology model. This study also analyzes the relationship between economic growth and income inequality using Pearson correlation analysis. The results of this study indicate that there is a convergence of inequality in South Kalimantan Province in 2011-2019 with an average Williamson Index value at 0.496 and Theil index at 17.928. Based on the Klassen typology classification, only Tapin District is in the category of high developed and fast growing region. The output on the Pearson analysis correlation shows that there is a non-significant positive correlation between economic growth and income inequality. Furthermore, South Kalimantan Province does not support on the Kuznets hypothesis for the period 2011-2019.

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