Supporting Employment and Improving the Efficiency of the Labor Market to Ensure Productivity Growth in the Tula Region

2021 ◽  
Vol 9 (2) ◽  
pp. 15-20
Author(s):  
M. Bykova ◽  
Irina Savina ◽  
Andrey Shishkin
Keyword(s):  
Labor Market ◽  
Retrospective Analysis ◽  
Labor Productivity ◽  
Unemployment Rate ◽  
Productivity Growth ◽  
State Policies ◽  
Regional Level ◽  
Factors Affecting ◽  
The Relationship

The paper provides a retrospective analysis of the relevance of the productivity issue. Various approaches to the possibility of increasing this indicator at the regional level based on the identification of various factors are considered. An analysis of projects devoted to increasing labor productivity in the Tula region and contributing to supporting employment was carried out. The need to use employment indicators as factors affecting productivity is justified. An analysis of the relationship between regional and state policies in support of employment in the region and the main indicators of the unemployment rate was carried out. On the example of the Tula region, the need for sectoral analyses in order to identify advanced industries at the regional level is justified. Optimization of programs at both regional and federal levels is proposed, taking into account the needs of advanced industries in the field of training.

scholarly journals On the factors affecting start-up intention of Millennials in Vietnam

2021 ◽  
Author(s):  
AISDL
Keyword(s):  
Multiple Regression ◽  
Unemployment Rate ◽  
Self Efficacy ◽  
Entrepreneurial Intention ◽  
Factors Affecting ◽  
High Unemployment ◽  
High Unemployment Rate ◽  
Start Up ◽  
Entrepreneurial Activities ◽  
The Relationship

In recent years, the problem in high unemployment rate after graduating was an alarming and hot issue in Vietnam. In this scene, the significant appearing of entrepreneurial activities is considered as a measure which can be implemented to address the serious problem and the research which is relative to start-up behaviors in Vietnam is necessary to conduct. Thus, the purpose of this study is to explore the effect of intrinsic capital and to figure out exactly percentages influence of each variable (Hope, Resilience, Optimism, and Self-efficacy) on entrepreneurial intention among Millennial. To analyze hypotheses, 321 questionnaires were collected randomly through online and offline surveys to test the relationship between inside psycho and thinking through using of SPSS Multiple Regression. The outcome of analysis has already covered that three of four sub-components i.e., hope, resilience, and self-efficacy contained the positive correlation on the intention of entrepreneurship. From a different angle, the optimism did not have a meaningful impact on dependent factors. However, due to the fact that optimism contributed essentially to the prediction of resilient behaviors, optimism can impact intention indirectly through resilience.

The Macro Economic Factors affecting Property Prices in Malta

2018 ◽  
Vol 2 (1) ◽  
pp. 4-27
Author(s):  
Luke Vella
Keyword(s):  
Unemployment Rate ◽  
House Prices ◽  
Standard Of Living ◽  
Ageing Population ◽  
Upward Trend ◽  
Factors Affecting ◽  
Property Prices ◽  
Property Price ◽  
Growing Economy ◽  
The Relationship

Property prices have been on top of European governments’ agenda for decades as their contribution towards the whole economic system is imperative. Property prices in Malta have been on an upward trend and, lately, the upward trend has been larger than in previous years. Even though this is a sign of a strong and growing economy, it can have implications on residents due to affordability issues affecting their standard of living. This study seeks to determine the factors which have an influence on property price in Malta whilst also analysing the strength of the relationship each factor holds on house prices. This study examines the Gross Domestic Product, unemployment rate, population, inflation, the number of home loans within the Maltese economy, ageing population, the number of tourists, minimum wage, and development permits. Out of these nine variables tested, eight proved to be statistically significant. The variables which had the largest effect on house prices was the unemployment rate whilst the variable with the least effect on house prices was inflation.

scholarly journals Trade, Migration, and Productivity: A Quantitative Analysis of China

2019 ◽  
Vol 109 (5) ◽  
pp. 1843-1872 ◽  
Author(s):  
Trevor Tombe ◽  
Xiaodong Zhu
Keyword(s):  
Labor Market ◽  
Quantitative Analysis ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Equilibrium Model ◽  
Trade Costs ◽  
External Trade ◽  
Unique Data ◽  
And Migration ◽  
Migration Costs

We study how goods- and labor-market frictions affect aggregate labor productivity in China. Combining unique data with a general equilibrium model of internal and international trade, and migration across regions and sectors, we quantify the magnitude and consequences of trade and migration costs. The costs were high in 2000, but declined afterward. The decline accounts for 36 percent of the aggregate labor productivity growth between 2000 and 2005. Reductions in internal trade and migration costs are more important than reductions in external trade costs. Despite the decline, migration costs are still high and potential gains from further reform are large. (JEL E24, F16, J24, P23, P25, R12, R23)

scholarly journals Labour Market in the Conditions of Digitalization: Possible Risks of Subjects of Labour Relations

2020 ◽  
pp. 110-128
Author(s):  
Elena V. Yanchenko ◽  
Keyword(s):  
Regression Analysis ◽  
Labor Market ◽  
Labour Market ◽  
Unemployment Rate ◽  
State Regulation ◽  
Modern Literature ◽  
Labour Relations ◽  
Correlation And Regression Analysis ◽  
The Impact ◽  
The Relationship

The relevance of the topic of the functioning of the labour market in the conditions of digitalization is due to the need for identifying and accounting for the risks of subjects of labour relations. The author reviews modern literature sources to determine the impact of digitalization on the labour market, identifies the positive and negative manifestations of this impact, defines the concept of risk for subjects of labour relations, and describes its main types and determinants. The correlation and regression analysis of the relationship between the economy and society digitalization index and the unemployment rate shows that the risks are low and the relationship is weak. The risk of unemployment in the context of digitalization is directly related to the level of the flexibility of the labor market and the elasticity of unemployment. In the conclusion, the author describes the novelty of the approach and gives recommendations for the state regulation of the issue.

scholarly journals Analysis of the Gap Between the Outputs of Higher Education and the Labor Market in the University (2003-2016)

2018 ◽  
Vol 2 (2) ◽  
pp. 234-254
Author(s):  
Sawsan Karim Jubouri
Keyword(s):  
Higher Education ◽  
Time Series ◽  
Economic Development ◽  
Labor Market ◽  
Quantitative Methods ◽  
The Other ◽  
Factors Affecting ◽  
The Stability ◽  
The University ◽  
The Relationship

   The aim of this research is to study the relationship between the outputs of higher education and the requirements of the labor market in iraq, and to identify the most important factors affecting the level of higher education in it, and the development of some of the necessary treatments to improve the level of higher education, which helps to achieve economic development. The research included two aspects, and the other applied, the research has used quantitative methods to reach that relationship, including the method of measuring the stability of time series of the variables of research, and then measuring the relationship between the outputs of higher education and the needs of the labor market in iraq in the manner of analysis of the joint integration between those variables, as well as a set of research conclusions and recommendations.                                                                    

scholarly journals Hybrid Artificial Intelligence HFS-RF-PSO Model for Construction Labor Productivity Prediction and Optimization

Algorithms ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 214
Author(s):  
Sara Ebrahimi ◽  
Aminah Robinson Fayek ◽  
Vuppuluri Sumati
Keyword(s):  
Artificial Intelligence ◽  
Labor Productivity ◽  
The Other ◽  
Swarm Optimization ◽  
Factors Affecting ◽  
Novel Approach ◽  
Study Results ◽  
Productivity Prediction ◽  
Hybrid Artificial Intelligence ◽  
The Relationship

This paper presents a novel approach, using hybrid feature selection (HFS), machine learning (ML), and particle swarm optimization (PSO) to predict and optimize construction labor productivity (CLP). HFS selects factors that are most predictive of CLP to reduce the complexity of CLP data. Selected factors are used as inputs for four ML models for CLP prediction. The study results showed that random forest (RF) obtains better performance in mapping the relationship between CLP and selected factors affecting CLP, compared with the other three models. Finally, the integration of RF and PSO is developed to identify the maximum CLP value and the optimum value of each selected factor. This paper introduces a new hybrid model named HFS-RF-PSO that addresses the main limitation of existing CLP prediction studies, which is the lack of capacity to optimize CLP and its most predictive factors with respect to a construction company’s preferences, such as a targeted CLP. The major contribution of this paper is the development of the hybrid HFS-RF-PSO model as a novel approach for optimizing factors that influence CLP and identifying the maximum CLP value.

Artificial Intelligence and Labor Productivity Paradox: The Economic Impact of AI in China, India, Japan, and Singapore

2021 ◽  
Vol 3 (2) ◽  
pp. 120-139
Author(s):  
Abigail P. Cruz ◽  
Homa C. Firozi ◽  
Jamielyn Bonsay ◽  
And Peter Jeff C. Camaro
Keyword(s):  
Artificial Intelligence ◽  
Labor Productivity ◽  
Unemployment Rate ◽  
High Tech ◽  
Foreign Direct Investments ◽  
Technological Unemployment ◽  
Jobless Growth ◽  
Increase Productivity ◽  
The Relationship ◽  
New Jobs

Artificial intelligence is designed to generate technologies that potentially increase productivity and economic welfare. This study analyzes the relationship between GDP and high-technology exports, GDP per person employed, and unemployment rate in China, India, Japan, and Singapore. Recent concerns on technological unemployment claim that artificial intelligence disrupts the labor market which decreases employment over time. Using the multiple regression analysis, this study proved that Japan comparatively has better utilization of AI and labor productivity as all independent variables show significance to the GDP. Labor productivity in all countries is positively related to GDP. However, China and India showed signs of improper AI utilization as technological unemployment occurred. The unemployment rate in China is insignificant to its GDP, while India's unemployment rate is positively related to GDP, hence the jobless growth. In Singapore, the insignificance of high-tech exports to GDP is due to its lack of R&D investments these recent years. The results suggest that AI escalates growth through proper utilization trade liberalization, as exercised by Japan, as it helps the economy to be open and flexible to various free trade agreements which facilitates technological progress and enables the opening of new markets for growth and expansion, especially of artificial intelligence, which attracts and encourage foreign direct investments that will cater technology transfer, creation of new jobs, and economic growth.

Changing Demographic of Labor Force and Productivity: A Case of Japan

2008 ◽  
Vol 7 (2) ◽  
pp. 175-187
Author(s):  
Chandra Akkihal ◽  
Rajindar Koshal ◽  
Ashok Gupta ◽  
Manjulika Koshal ◽  
Yoichi Mine
Keyword(s):  
Labor Force ◽  
Unemployment Rate ◽  
Productivity Growth ◽  
Negative Relationship ◽  
Participation Rate ◽  
Demographic Characteristics ◽  
Turnover Rates ◽  
Gender Distribution ◽  
Younger Workers ◽  
The Relationship

AbstractFor the period of 1978-2003, this paper examines the relationship between changing productivity and demographic characteristics of Japan's labor force. The results of this study reveal four important and interesting characteristics of the Japanese labor force. First, there is a negative relationship between productivity growth and turnover rates. Second, the participation rate of younger workers in the labor force has declined; this has resulted in a decline in the percentage of younger workers (15-34 years old). Third, the gender distribution of the labor force has not changed in any significant way. Fourth, the unemployment rate has increased by more than four times. These labor force changes have contributed to fluctuations in productivity growth.

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