scholarly journals أثر الإنفاق العام على البطالة في السودان خلال الفترة (1992-2018)

2022 ◽  
Vol 17 (2) ◽  
pp. 129-155
Author(s):  
د مصطفى أحمد قمر الدين عبد الله
Keyword(s):  
Unemployment Rate ◽  
Vocational Training ◽  
Inverse Relationship ◽  
Statistical Significance ◽  
Practical Importance ◽  
Public Spending ◽  
Steady Increase ◽  
Capital Spending ◽  
The Impact ◽  
The Relationship

The study deals with the impact of current and capital public  spending  on unemployment in Sudan during the period (1992-2018), and the importance of the study, from the fact that it deals with topics of great scientific and practical importance, and the aim of the study to know the nature of public spending in the current and capital aspects, the nature of unemployment, in addition to an alysing the relationship between these variables, and the problem of  study was that there is a steady  increase  in Current and capital  public  spending during the study period and therefore the unemployment situation in Sudan did not improve,  as the study used the descriptive and analytical approach, in addition to the standard method to know the relationship between the variables studied, and the study reached many results, the most important of which is: that there is a expulsionrelation ship with statistical significance Between current spending and the unemployment rate, there is also a morally inverse relationship between capital spending and the unemployment rate. The most important recommendations recommended by the study are to increase capital spending and direct this spending in creating and expanding the scope of productive projects, as well as to spend on vocational training centers and develop them and to transfer the experience of the countries that preceded Sudan in this area, which contributes to reducing the unemployment rate

DIGITAL COMPETITIVENESS OF UKRAINE: GENERAL TRENDS AND IMPACT MODELING

2018 ◽  
Author(s):  
Nadiya Yavorska ◽  
◽  
Tetyana Danko ◽  
Keyword(s):  
Inverse Relationship ◽  
New Technologies ◽  
Statistical Significance ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Multiple Regression Equation ◽  
Individual Factors ◽  
Decisive Influence ◽  
The Impact ◽  
The Relationship

The object of the study is the digital competitiveness of the country and its impact on GDP. The paper summarizes the methodology for determining the rating of global digital competitiveness and investigates the impact of digital competitiveness on GDP using econometric analysis methods. The methodological basis of the study was the fundamental principles of economic theory, statistics and econometrics. To develop a statistical model of the relationship between digital competitiveness and GDP, correlation analysis was performed using the pairwise regression equation, and to influence individual factors - a linear multiple regression equation. The parameters of the constructed models by the method of least squares are estimated and their statistical significance is checked. The results of the study show that there is a close inverse relationship between the rating on the Digital Competitiveness Index and GDP. This is due to the fact that the linear correlation coefficient is -0.819, and the value of the coefficient of determination (0.6712) shows the decisive influence of digital competitiveness on GDP. Verification of the statistical significance of the constructed model allowed to recognize it as statistically reliable, which allows to use it for forecasting. Instead, the resulting econometric model of the relationship between individual factors of digital competitiveness rating and GDP is characterized by a strong inverse relationship between the two factors "Knowledge" and "Technology" and a direct relationship between the factor "Readiness for the future". The factor of "Knowledge", which characterizes the process of digital transformation of Ukraine through understanding, studying and creating new technologies, has a decisive influence on the volume of GDP. The developed model of the relationship between individual factors of digital competitiveness rating and GDP, as adequate and statistically significant, can be used for further analysis and forecasting. It is proved that the process of digitalization is an urgent need for the existence of the economic system at present, namely the introduction of digital technologies can increase the competitiveness of the country on the world stage.

scholarly journals Family Climate Patterns and Its Relationship with Self-Concept among Students at the University of Islamic Sciences in light of the Variables of Gender and Age

2017 ◽  
Vol 9 (1) ◽  
pp. 145
Author(s):  
Fatima Mohammad Rashed Al Talahin ◽  
Hana Khaled Al –Raqqad ◽  
Eman Saeed Al- Bourini ◽  
Bilal Adel Al-Kateeb
Keyword(s):  
Pearson Correlation ◽  
Statistical Significance ◽  
Self Concept ◽  
Family Climate ◽  
Gender And Age ◽  
Climate Patterns ◽  
The Difference ◽  
The University ◽  
The Impact ◽  
The Relationship

The aim of this study is to clarify the relationship between self-concept and patterns of family climate among students at the University of Islamic Sciences, and also aimed to investigate the effect of gender and age on this relationship.The sample of the study consisted of a group of students were selected randomly, totaling (139) students; (58) male and (81) female students.Two questionnaires were distributed on 139 students. The first questionnaire was on the impact of patterns of family climate on self-concept and the second one about self-concept. Then the researcher analyzed the results of each item in the questionnaire using appropriated statistical methods, calculated the correlation between self-concept and patterns of family climate using the Pearson correlation coefficient, and G-test to find the difference between correlation coefficients.The results showed a positive statistical significance relationship between family climate patterns on one hand and between self-concept in all its dimensions on the other hand.

scholarly journals Analysis of the Impact Fiscal Fundamentals on Unemployment in Nigeria. Imperatives for Covid 19, Era

2021 ◽  
Vol 04 (05) ◽  
Author(s):  
Patrick Ologbenla ◽  
Keyword(s):  
Unemployment Rate ◽  
Government Expenditure ◽  
Research Work ◽  
Youth Unemployment ◽  
Government Revenue ◽  
Increase Productivity ◽  
Employment Generation ◽  
The Impact ◽  
The Relationship

The study examined the impact of fiscal fundamental on unemployment rate in Nigeria from 1980 to 2020 focusing on COVID-19 imperatives. The research work embraces OLS estimating techniques to estimate the relationship between the variables. The result of the analysis revealed that government expenditure had positive and significant effect on the rate of unemployment. Also government revenue had a positive but insignificant impact on unemployment during. The implication of these findings for COVID-19 is that the narrative which is obtained from the analysis needs to be changed. Government revenue should be made to have significant impact on unemployment. The pandemic has led to a lot of job lost and the unemployment rate in Nigeria has risen by about 55% peaking at 36% youth unemployment rate as at last quarter of 2020. The study therefore, recommends that government should refocus expenditure and revenue in the country in such a way it will target development of infrastructural facilities so as to increase productivity and in turn facilitate employment generation.

Can Earnings Innovations Explain The Inverse Relationship Between Unanticipated Inflation And Stock Returns?

2011 ◽  
Vol 9 (2) ◽  
pp. 10 ◽  
Author(s):  
Jon A. Hooks
Keyword(s):  
Stock Returns ◽  
Stock Return ◽  
Inverse Relationship ◽  
Explanatory Power ◽  
Earnings Forecast ◽  
Capitalization Rate ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship ◽  
Unanticipated Inflation

Hooks (1991) argues that the explanatory power of unanticipated inflation in stock return models appears to result from the relationship of unanticipated inflation with the earnings capitalization rate and not the impact inflation has on the level or growth rate of earnings. Here we extend this line of investigation by examining the relationship between unanticipated inflation and the earnings innovation extracted from a univariate earnings forecast. We show that unanticipated inflation has no significant relationship with innovations in conventional earnings. However, we find that unanticipated inflation has a significant positive relationship with the magnitude of the earnings innovation during the 1955-85 period when earnings are adjusted to account for the effects of inflation on firms assets and liabilities.

scholarly journals Effectiveness of Public Spending before and during COVID-19 Pandemic

2022 ◽  
pp. 42-49
Author(s):  
Kamelia Assenova
Keyword(s):  
Social Insurance ◽  
Aggregate Demand ◽  
Public Spending ◽  
Coefficient Of Determination ◽  
Strong Impact ◽  
Labor Costs ◽  
Negative Results ◽  
Capital Spending ◽  
The Government ◽  
The Impact

The pandemic of COVID-19 influences all sectors of the economy. It caused decreasing in produced Gross domestic product (GDP) and higher unemployment. As it is known, to overcome this negative tendency, it is possible to put in practice monetary and fiscal instruments. During the pandemic, the government tried to slow down negative economic results through public spending. With them, the government looks to be increased aggregate demand in the economy and as a result-GDP raises and unemployment reduces. The research is based on created original model for testing the impact of total public spending, capital, salary, social insurance and care, for maintenance by a consolidated fiscal program on the value of GDP. The changes of GDP measure the effectiveness of public spending. The period of research is before and during the COVID-19 crisis (2019-2020) in the case of Bulgaria. Before the pandemic the analysis shows coefficient of determination for capital spending is more significant compare with all other types of public expenditure and these cost predetermine economic growth. During the pandemic of COVID-19 public spending has used as the main instrument to overcome the negative results for the economy. For this period it found an extremely strong impact of labor costs and social care expenditure on aggregate demand. They bring more positive results to be solved health issues, but not for faster recovery of the economy.

scholarly journals The nexus between the economic growth and unemployment in Jordan

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Hala Hjazeen ◽  
Mehdi Seraj ◽  
Huseyin Ozdeser
Keyword(s):  
Economic Growth ◽  
Unemployment Rate ◽  
Urban Population ◽  
Empirical Finding ◽  
Female Population ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
The Impact ◽  
The Relationship

AbstractThe main objective of this study is to investigate the impact of unemployment on Jordan's economy over the period 1991–2019. This study used the auto-regressive distributed lag (ARDL) model to investigate the relationship between the unemployment rate and the other variables. Also, we employ the ARDL bootstrap cointegration approach to examine the correlation and long-run relationship among the variables. The empirical finding indicated a long-run relationship between the unemployment rate, economic growth, education, female population, and urban population in Jordan. Our finding shows the negative linkage between economic growth and unemployment, and a positive relationship among the education, female population, and urban population and unemployment in Jordan.

The impact of newspaper reports on fear of violent crime in Hong Kong

2018 ◽  
Vol 39 (4) ◽  
pp. 470-480
Author(s):  
Runping Zhu ◽  
Richard Krever ◽  
Alfred Siu Kay Choi
Keyword(s):  
Hong Kong ◽  
Violent Crime ◽  
Fear Of Crime ◽  
Inverse Relationship ◽  
Newspaper Reporting ◽  
Unexpected Findings ◽  
The Impact ◽  
The Relationship ◽  
Crime Reports

This study analyzed violent crime reports in three large circulation newspapers and tested by survey the relationship between newspaper reporting of crime and fear of crime. As was expected, there was a nexus between more sensationalist newspaper reporting and the public’s fear of crime. Unexpected findings were an inverse relationship between newspaper format and awareness of violent crime, and also between awareness of crime and fear of crime.

scholarly journals Exploratory Study Of The Relationship Between Poverty And Crimes In Albany/Dougherty, Georgia

2013 ◽  
Vol 11 (6) ◽  
pp. 277
Author(s):  
Amaechi N. Nwaokoro ◽  
Clifford Marshall ◽  
Shiwam Mittal
Keyword(s):  
Unemployment Rate ◽  
Exploratory Study ◽  
Teenage Pregnancy ◽  
Wage Rate ◽  
Control Measures ◽  
The Real ◽  
Market Factors ◽  
Dougherty County ◽  
The Impact ◽  
The Relationship

Both the crime andpoverty rates in Albany/Dougherty County, Georgia, are substantially high. Therefore, the objective of this study is tohighlight the sources of the relationships between poverty and crimes in thisarea. The paper makes additionalcontributions by exploring the impact of non-market factors of segregation anddiscrimination on poverty in the remote Dougherty County that is also characterizedby both dualistic and restricted environments.The crimes seem to be driven by poverty that is characterized by otherfactors - the remoteness of the county, exit of some big establishments, decliningurban education, increasing unemployment rate, non-harmonized economic environments,and by the presence of teenage pregnancy. These prevailing adversities have cumulativelysuppressed the real average weekly wage rate, proxy of poverty. Crimes and poverty control measures areincluded in the study.

scholarly journals The impact of inflation on the unemployment rate in Egypt: a VAR approach

2021 ◽  
Vol 107 ◽  
pp. 06009
Author(s):  
Emad Attia Mohamed Omran ◽  
Yuriy Bilan
Keyword(s):  
Unemployment Rate ◽  
Time Series Data ◽  
Empirical Studies ◽  
Impulse Response Function ◽  
High Rate ◽  
Series Data ◽  
Vector Autoregressive ◽  
Political Effects ◽  
The Impact ◽  
The Relationship

Unemployment and inflation are among the most critical phenomena facing both developed and developing countries due to their harmful social, economic, and political effects. The Egyptian monetary policy’s main objective is to maintain a low inflation rate in the medium run to keep the confidence and a high rate of investment and economic growth. At the same time, economists argue that targeting a low-rate of inflation may increase unemployment. Although the classical Philips curve indicates a trade-off between inflation and unemployment, several empirical studies have argued that the relationship between inflation and unemployment depends on the shocks’ source and lagged responses. The main objective of this paper is to examine the relationship between inflation and Egypt’s unemployment rate. We used time-series data from 1980 to 2019, where a vector autoregressive (VAR) model and the Impulse response function tool (IRF) were employed. The results show that inflation has a positive relationship with GDP while negatively affecting the unemployment rate.

Does Vocational Training Promote Female Labour Force Participation? An Analysis for India

2021 ◽  
Vol 15 (1) ◽  
pp. 149-173
Author(s):  
Indrajit Bairagya ◽  
Tulika Bhattacharya ◽  
Pragati Tiwari
Keyword(s):  
Vocational Training ◽  
Large Scale ◽  
Labour Force ◽  
Probit Model ◽  
Labour Force Participation ◽  
Female Labour Force Participation ◽  
Jel Codes ◽  
Female Labour ◽  
The Impact ◽  
The Relationship

The objective of the article is to assess the impact of formal and informal vocational training on female labour force participation in India, based on the Periodic Labour Force Survey data for 2017–2018, employing a trivariate probit model. Results show that participation both in formal and informal vocational training has a positive and statistically significant impact on female labour force participation across all specifications of the regression models, thus showing the robustness of the relationship. Most importantly, the provision of vocational training helps break the traditional U-shaped relationship between female labour force participation and educational levels. However, the fact that the percentage of formal vocational training holders is much lower than that of informal vocational training holders and that it varies among males and females, points to the need for special policy attention on the promotion of female participation in formal vocational training on a large scale. JEL Codes: J21, J24, J71

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