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

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.

2020 ◽  
Vol 8 (2) ◽  
pp. 68
Author(s):  
Bilgehan Tekin

The purpose of this study to examine the relationship between financial development and human development in the health and welfare dimensions of developing countries. This study aims to determine whether the financial developments of the countries have an effect on the basic human development of the individuals and whether human development indicators have an impact on financial development. In this study, the relationship between financial development and human development has been tried to be revealed by using data obtained from developing countries. Financial development levels of the countries were measured with the developed financial development index. The index is calculated by using M3 / GDP, private sector loans / GDP and loans to banks from private sector / GDP ratios. The human development index is calculated by considering various health indicators and GNP per capita. The data includes annual data for the period 1970-2016. Pedroni and Kao cointegration analysis and Dumitrescu & Hurlin panel causality analysis were performed in the study. According to the results of the study, the cointegration relationship was determined between the two variables. There is also a two-way causality between the variables.


2020 ◽  
Vol 12 (3) ◽  
pp. 47-63
Author(s):  
Vlatka Bilas ◽  

Foreign direct investments are seen as a prerequisite for gaining and maintaining competitiveness. The research objective of this study is to examine the relationship between foreign direct investment (FDI) and economic growth in “new” European Union member countries using various unit root, cointegration, as well as causality tests. The paper employs annual data for FDI and gross domestic product (GDP) from 2002 to 2018 for the 13 most recent members of European Union (EU13): Bulgaria, Croatia, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia and Slovenia. An estimated panel ARDL (PMG) model found evidence that there is a long-run equilibrium between the LogGDP, LogFDI and LogFDIP series, with the rate of adjustment back to equilibrium between 3.27% and 20.67%. In the case of the LogFDI series, long-run coefficients are highly statistically significant in all four models, varying between 0.0828 and 0.3019. These coefficients indicate that a 1% increase in LogFDI increases LogGDP between 0.0828% and 0.3019%. Results of a Dumitrescu-Hurlin panel causality test indicated that a relationship between the GDP growth rate and FDI growth rate is only indirect. Finally, only weak evidence was shown that FDI had a statistically significant impact on GDP in the EU13 countries over the period 2002-2018. This report of findings contributes to the literature concerning FDI and economic growth, namely regarding the current understanding of the relationship between these two factors.


Author(s):  
Filiz Eryılmaz ◽  
Hasan Bakır ◽  
Mehmet Mercan

The relationship between financial development and economic growth has been the subject of considerable debate in development and growth literature. Therefore this chapter provides evidence on the role of financial development in accounting for economic growth in 23 OECD countries (Italy, Japan, Luxemburg, Holland, New Zealand, Norway, Portugal, Spain, Sweden, Switzerland, England, USA, Australia, Austria, Belgium, Canada, Denmark, Finland, Turkey, France, Germany, Greece, Iceland) via panel data analysis using the annual data for the period 1980-2012. The authors find a positive relationship between financial development and economic growth for all countries. Also this result means that financial development leads economic growth in these countries. So the results may help policymakers formulate effective financial sector policies as a tool to promote economic growth.


2017 ◽  
Vol 63 (No. 7) ◽  
pp. 308-317
Author(s):  
Bein Murad A ◽  
 Ciftcioglu Serhan

The study empirically investigates the relationship between the relative GDP share of agriculture and the unemployment rate in a sample of ten Central and Eastern European countries. Utilising the annual data for the sample period 1996–2013, the empirical analysis is carried out using the dynamic panel regression analysis and the Granger causality tests. The estimation results based on the alternative specification of regression equations for the unemployment rate suggest that the unemployment rate is negatively related to the relative GDP share of agriculture. In addition, a similar effect has been obtained for some other explanatory variables we have included in the unemployment equation as controlling variables: higher investment rate and trade openness are likely to lower the rate of unemployment. The financial development has also been found to be negatively related to the unemployment rate, although the statistical significance of its effect depends on the estimation technique used. On the other hand, the GDP growth and the government consumption have been found to be insignificantly related to the unemployment rate. While the Granger causality tests performed for each country produced evidence of a causal effect of the relative GDP share of agriculture in some countries, in some other countries the direction of causality has been found to be from the unemployment rate to the relative GDP share of agriculture. Our findings suggest that agriculture may play a potential role in lowering the prevailing rates of high unemployment; but this potential is likely to vary between countries.  


1998 ◽  
Vol 30 (5) ◽  
pp. 901-920 ◽  
Author(s):  
J P Elhorst

In this paper the author investigates the extent to which regional Europe exceeds its minimum level of nonemployment by estimating a stochastic frontier model. This surplus is called the ‘inefficiency of regional labour markets’—the degree to which potential labour-force resources among the nonparticipants could be further mobilised given the actual unemployment rate. Starting with 130 regions across eight member states of the European Union, two nonemployment frontier models are estimated, one for men and one for women, with annual data derived from Eurostat, 1983–89. It turns out that, on average, 1.9% of the male and 4.8% of the female working-age population could be further mobilised, and that, consequently, the actual unemployment rate is underestimated by 2.8% overall. In addition, a test has been performed as to whether the inefficiency estimates are related to participation, employment, or unemployment figures. It appears that unemployment figures in particular are extremely bad predictors.


2015 ◽  
Vol 42 (1) ◽  
pp. 64-81 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri

Purpose – The purpose of this paper is to examine the relationship between financial development and income inequality in India using annual data from 1982-2012. Design/methodology/approach – Stationarity properties of the series are checked by using ADF, DF-GLS, KPSS and Ng- Perron unit root tests. The paper applied the auto regressive distributed lag (ARDL) bound testing approach to co-integration to examine the existence of long run relationship; and error correction mechanism for the short run dynamics. Findings – The co-integration test confirms a long run relationship between financial development and income inequality for India. The ARDL test results suggest that financial development, economic growth, inflation aggravates the income inequality in both long run and short run. However, trade openness reduces the gap between rich and poor in India. Research limitations/implications – The present recommend for appropriate economic and financial reforms focussing on financial inclusion to reduce income inequality in India. Originality/value – Till date, there is hardly any study that makes a clear comparison between market-based indicator and bank based indicator of financial development in India and those examining the relationship between finance and income inequality nexus. Further there is hardly any study to include gini coefficient as a proxy for inequality for India and apply ARDL techniques of co-integration, using the basic principles of GJ hypothesis and provide short run and long run dynamics for India. So the contribution of the paper is to fill these research gaps.


2010 ◽  
Vol 28 (2) ◽  
pp. 369-380 ◽  
Author(s):  
Roberto Ezcurra

I investigate the relationship between short-term instability and output growth in the European regions, using disaggregated data for six manufacturing activities over the period 1980–2006. The results show a positive link between sectoral volatility and growth. This finding is robust to the inclusion of additional explanatory variables in the analysis and is not driven by any specific sector or country. The observed relationship suggests that traditional stabilization policies that attempt to reduce the fluctuations of the business cycle may be harmful for regional growth in the long run.


2014 ◽  
Vol 15 (4) ◽  
pp. 294-301 ◽  
Author(s):  
Gitana Dudzevičiūtė ◽  
Justinas Čekanauskas

This paper aims to investigate the causal relationship between unemployment and emigration in Lithuania using Granger – causality test. The research is based on annual data spanning the period of 2004–2012. The investigation encompasses two steps. Firstly, the authors have analyzed the Lithuanian position regarding relationship between unemployment rate and emigration in the context of the European Union countries; secondly, the causality between unemployment and emigration has been determined in the case of Lithuania. On the basis of the European Union countries statistical data, results of the research have revealed a weak correlation between unemployment rate and emigration. On the contrary, evidence has suggested the existence of a strong relationship between unemployment and emigration in Lithuania. Results of the Granger – causality test have showed that unemployment impacts on emigration in Lithuania.


2021 ◽  
Vol 13 (17) ◽  
pp. 9623
Author(s):  
Victoria Ateca-Amestoy ◽  
Anna Villarroya ◽  
Andreas J. Wiesand

In this paper, we explore the relationship between different ways of getting engaged with cultural heritage and life satisfaction. Using data from a representative sample of the population of the 28 members of the European Union in 2017 collected in the Eurobarometer 88.1 (2017), we explore the relationship between use and non-use values and individual subjective well-being measured as life satisfaction. We present the results derived from the estimation of an ordered probit model where life satisfaction is a function of living near to heritage resources to represent non-use values, different ways of heritage participation (tangible, intangible, digital, and volunteering), and the usual explanatory variables that have been found to be predictors of life satisfaction. Our results indicate that the chances of being more satisfied with ones’ life increase with volunteering activities, with visits to heritage institutions, and with digital engagement. These findings contribute to a better understanding of the multifaceted values of heritage.


2019 ◽  
Vol 12 (2) ◽  
pp. 279-291
Author(s):  
Puneet Kumar Arora ◽  
Jaydeep Mukherjee

Purpose This study aims to empirically examine the relationship between financial development and trade performance for the Indian economy through a time-series analysis with annual data over the period 1980-2016. Design/methodology/approach The study uses new econometrics techniques such as unit root tests in the presence of endogenous structural breaks and autoregressive-distributed lag bounds test for the analysis. Findings Empirical results reveal that the level of financial development has a significant positive impact on the exports, imports and trade balance of manufactured goods for the Indian economy. Practical implications The findings suggest that the positive effect of financial development on trade performance is a potential mechanism through which the former may affect overall income and growth rates. It also implies that standalone trade liberalisation policies are insufficient to increase Indian exports. Indian policymakers should, therefore, consider the implications of the next set of financial sector reforms on the country’s trade flows, besides their positive impact on the economic performance. The findings are particularly relevant in the present scenario when the export growth is decelerating and there is a marked slowdown in private credit flows because of the problem of non-performing assets. Originality/value This study is the first of its kind which provides a holistic analysis of the relationship between financial development and trade performance for the Indian economy and also investigates the direction of causality between financial development and international trade by considering the possible presence of multiple endogenous structural breaks in the data. Moreover, in contrast to the available literature, the present study focuses on net exports as a key indicator of trade performance rather than trade openness.


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