Unemployment and its Impact on Economic Growth in the European Union

Author(s):  
Murat Cetin ◽  
Davuthan Gunaydın ◽  
Hakan Cavlak ◽  
Birol Topcu

Unemployment has become an increasingly serious economic and social problem in many European countries. Theoretically, unemployment has a negative effect on economic growth and development. This chapter examines the impact of unemployment on economic growth in 15 EU countries from 1984 to 2012 by using several panel data techniques. Panel unit root tests suggest that the series employed in the study are stationary at first differences. In other words, the series are integrated of order one, I(1). Panel cointegration tests show that the variables are cointegrated over the period implying a long-run relationship between the variables. Panel OLS estimations show that the impact of unemployment on economic growth is negative and statistically significant. This indicates that unemployment decreases economic growth in these countries. Finally, Granger causality tests based on vector error correction model suggest that there is a bi-directional causality between the variables in the short and long run. The findings may provide some policy implications.

2012 ◽  
Vol 4 (8) ◽  
pp. 449-456
Author(s):  
Mohammed B. Yusoff

This research paper aims to examine the impact of zakat distribution on growth in the Federal Territory Malaysia. Specifically, an econometric study is carried out to examine the ability of zakat expenditure to affect real economic growth in the Federal Territory Malaysia by employing various econometric procedures such as the unit root tests, the cointegration tests, the vector error-correction model (VECM), and the Granger causality tests. The findings of the study suggest that zakat expenditure has a positive relationship with real GDP in the long-run. The Granger causality test indicates that zakat spending causes real economic growth with no feedback. In other words, zakat expenditure could boost GDP in the Federal Territory Malaysia both in the short-run and long-run.


2018 ◽  
Vol 9 (3) ◽  
pp. 319-334 ◽  
Author(s):  
Waliu Olawale Shittu ◽  
Sallahuddin Hassan ◽  
Muhammad Atif Nawaz

Purpose The purpose of this paper is to examine the impact of external debt and corruption on economic growth in the selected five Sub-Saharan African (SSA) countries, from 1990 to 2015. Design/methodology/approach Panel unit root and panel cointegration tests are employed to test for stationarity of the series and the long-run relationship, respectively. Fully modified OLS and dynamic OLS techniques are also employed to examine the long-run coefficients of the variables of the model, as well as panel Granger causality test, in order to examine the direction of causality among the variables. Findings The results indicate that there is a negative relationship between external debt and economic growth, as well as a bi-directional causality between the two variables. The findings also indicate a positive relationship between corruption and economic growth, as well as a uni-directional causality running from economic growth through corruption. Research limitations/implications The study recommends that the governments of the selected countries should address the menace of rising external debt through the adoption of other sources of capital for investment. Such include more openness of the economy for more capital, by easing restrictions on genuine imports and exports of valuable goods and services. It also suggests that the issue of corruption be tackled head-on, by such penalties that tend to make corruption less attractive. Originality/value While the relationship between economic growth and external debt, on the one hand, and corruption and economic growth, on the other hand, have received considerable attentions, the trio of external debt, corruption and economic growth have not been found combined in a model, to the best of the authors’ knowledge. Also, the countries under consideration, who jointly account for about 47 percent of the entire SSA countries’ stock of external debt, have not been jointly found in any recent panel studies involving the selected variables.


2021 ◽  
Vol 13 (4) ◽  
pp. 1745
Author(s):  
Yugang He ◽  
Renhong Wu ◽  
Yong-Jae Choi

Unlike previous papers on international logistics and cross-border e-commerce trade, this paper sets Organization for Economic Co-operation and Development (OECD) countries as an example to explore the dynamic interaction between international logistics and cross-border e-commerce trade. The panel data for the period 2000–2018 will be employed to perform an empirical analysis via a host of econometric techniques, such as panel unit root tests, panel cointegration tests, panel causality tests and the panel vector error correction model. Incorporating with other control variables, we find that there is a long-term relationship between international logistics and cross-border e-commerce trade. Specifically speaking, in the long-run, international logistics has a positive and significant effect on cross-border e-commerce trade. However, in the short-run, international logistics has a negative and significant effect on cross-border e-commerce trade. Furthermore, the results suggest that deviation from a cointegration system of cross-border e-commerce trade and international logistics will lead to the cross-border e-commerce trade and international logistics changing within the range of approximately 2.2% to 47.2% in the next period. Therefore, referring to these findings, each OECD country’s government should take up corresponding policies to ensure the sustainable development of both international logistics and cross-border e-commerce trade.


2015 ◽  
Vol 60 (02) ◽  
pp. 1550018 ◽  
Author(s):  
TOLGA OMAY ◽  
NICHOLAS APERGIS ◽  
HÜLYA ÖZÇELEBI

This paper investigates the relationship between economic growth and energy consumption through non-linear causality tests. Eight developing countries from Europe and Central Asia spanning the period 1993 to 2008 are selected for the purpose of panel empirical analysis. Panel unit root and panel cointegration tests with and without considering cross section dependency (CD) problems are implemented. Next, linear panel cointegration tests are employed and, finally, a two-regime Dynamic Panel Smooth Transition Vector Error Correction (PSTRVEC) model is estimated for testing the presence of non-linear short- and long-run causality. To this end, a new estimator, called the Dynamic Non-linear Pooled Common Correlated Effect Estimator (DNPCCEE) is proposed. The empirical findings indicate that short and long-run causalities are regime-dependent.


2019 ◽  
Vol 11 (9) ◽  
pp. 2682 ◽  
Author(s):  
Huaping Sun ◽  
Samuel Attuquaye Clottey ◽  
Yong Geng ◽  
Kai Fang ◽  
Joshua Clifford Kofi Amissah

The search for a green and low-carbon economy has been a guide to current energy and environmental research. Using current panel cointegration approaches, our study examines the interaction between trade and an environmental pollution proxy of carbon dioxide (CO2) emissions by integrating economic growth and energy usage as major potential determining factors in this relationship for 49 high-emission countries in Belt and Road regions over the period of 1991–2014. For a robust analysis, we further grouped these countries into income panels (high, middle, low) and various regions (East Asia, Southeast Asia, Central Asia, South Asia, the Middle East/Africa, and Europe). The results of the panel cointegration tests revealed that the four variables were stationary in the long run. Similarly, our panel results indicated that trade openness had both positive and negative impacts on environmental pollution, but the effect varied in these different groups of nations. The results of the vector error correction model (VECM) causality also showed a long-run causal effect between trade, economic growth, energy consumption, and environmental pollution in the Belt and Road, Europe, high-income, middle-income, and low-income panels. The environmental Kuznets curve (EKC) results further indicated the existence of an inverted U-form relationship between trade and carbon emissions. Finally, certain policy implications are discussed.


2017 ◽  
Vol 25 (3) ◽  
pp. 453-462 ◽  
Author(s):  
Mert Topcu ◽  
İlhan Aras

Although the relationship between military expenditures and economic growth is well documented for the old members of the European Union, empirically little is known for the new members. Thus, the goal of this paper is to investigate the economic impact of military expenditures in Central and Eastern European countries employing panel cointegration and causality methods for the period 1993–2013. Findings indicate that the variables in question do not move together in the long run and the direction of causality in the short run is from economic growth to military expenditures. The implications of the results for international relations are discussed.


Author(s):  
Faiza Manzoor ◽  
Longbao Wei ◽  
Muhammad Asif ◽  
Muhammad Zia ul Haq ◽  
Hafiz ur Rehman

In the global economy, tourism is one of the most noticeable and growing sectors. Thissector plays an important role in boosting a nation’s economy. An increase in tourism flow canbring positive economic outcomes to the nations, especially in gross domestic product (GDP) andemployment opportunities. In South Asian countries, the tourism industry is an engine ofeconomic development and GDP growth. This study investigates the impact of tourism onPakistan’s economic growth and employment. The period under study was from 1990 to 2015. Tocheck whether the variables under study were stationary, augmented Dickey–Fuller andPhillips–Perron unit root tests were applied. A regression technique and Johansen cointegrationapproach were employed for the analysis of data. The key finding of this study shows that there isa positive and significant impact of tourism on Pakistan’s economic growth as well as employmentsector and there is also a long‐run relationship among the variables under study. This studysuggests that legislators should focus on the policies with special emphasis on the promotion oftourism due to its great potential throughout the country. Policy implications of this recent studyand future research suggestions are also mentioned.


2018 ◽  
Vol 14 (2) ◽  
pp. 89
Author(s):  
Rani Raharjanti ◽  
Nur Setyowati

This paper aims to investigate the short and long run behavior of ownership structure, capital structure and Indonesian Stock Price over the period from 2007 to 2016. To capture the long run relationships, we used the panel cointegration by Pedroni (1999, 2000, 2004), while the short run relationship are measured by Vector Error Correction Model (VECM). The main findings are as follows. First, the result of most results of Pedroni’s panel cointegration tests, suggest the null hypothesis of no cointegration is rejected. In consequence, this result suggests that there is a cointegration between stock price, managerial ownership, institutional ownership, public ownership, debt to equity ratio and earnings per share. Second, the results of VECM indicate that in the short run, only managerial ownership that will influence the stock price.


2020 ◽  
pp. 0958305X2091940
Author(s):  
Melike E Bildirici

In this paper, it was aimed to investigate the relation between economic growth, terrorism, foreign direct investment (FDI) inflow, environmental pollution, and energy consumption in China, India, Israel, and Turkey for a time span of 43 years from 1975 to 2017. Three different panel cointegration methods to determine the cointegration relation and two different causality methods to find the direction of causality were simultaneously used, since the presence of cointegration and direction of causality are fundamental to design economic policy and strategy. After similar results from panel cointegration tests were obtained, the causality tests were applied. Panel causality tests determined the evidence of uni-directional causality from terrorism, FDI, and energy usage to CO2 emission.


Author(s):  
Md. Nezum Uddin

This scholarly article seeks to spotlight the inextricable link between economic expansion and inflation in Bangladesh for the past three decades from 1987 to 2017. The nature of the relationship between these two macroeconomic variables is a boiling topic of research. The data on both the GDP growth and inflation rates supplied by the World Bank have been used to study the nexus. Different relevant tests (DF, ADF, PP and KPSS test) found unit root in the variables, but this problem is disappeared at the first difference. Cointegration tests display the long-run connection between the variables at the period. Max-Eigen value Statistic Trace Statistic expose there may be a second integrating vector. The vector error correction model (VECM) finds short dynamics among inflation and economic development, and the adjustment speed at 39% and 82% respectively for the variables—GDP growth rate and inflation. This empirical study has found a significant correlation between inflation and economic growth in Bangladesh during the study period


Sign in / Sign up

Export Citation Format

Share Document