scholarly journals Impact Assessment of Changes in the Age and Educational Structure of the Population in the Russian Labor Market

2020 ◽  
Vol 27 (3) ◽  
pp. 45-52
Author(s):  
E. Ya. Varshavskaya
Keyword(s):  
Labor Market ◽  
Labor Force ◽  
Structural Changes ◽  
Structural Factors ◽  
Educational Structure ◽  
Downward Pressure ◽  
Employment Rates ◽  
The Impact ◽  
Statistical Indicators

The objective of this study is to assess the contribution of changes in the age and educational structure of the population and labor force to the dynamics of the levels of employment and unemployment in Russia in the last two decades. The empirical basis of the study is the microdata of the Labor Force Survey conducted by Rosstat monthly. Standardization and decomposition of statistical indicators are used as methods of analysis.The author cites evidence that during the period under review the composition of the population and labor force has undergone significant structural changes. The proportion of people with higher education, which are characterized by higher employment rates and lower unemployment rates has steadily increased. The share of young people and the poorly educated population, which are characterized by low participation in employment and high risks of unemployment, was declining.The dynamics of employment and unemployment rates in 2000-2018 were largely determined by the influence of structural factors favorable (in terms of the impact on the labor market) shifts in the age and educational structure of the Russian population and labor force.Structural factors had a greater impact on the positive dynamics of employment. Over the period in question, the growth in the level of education contributed to more than half of the increase in the employment rate. Changes in the age structure put downward pressure on the level of employment, but the contribution of this factor was insignificant. Structural factors contributed about a third of the overall decline in the unemployment rate. The contribution of changes in age and educational structure was almost the same in magnitude.The estimates provide a more accurate idea of the real situation on the Russian labor market and the reasons underlying the dynamics of its indicators. Quantitative characteristics, reflecting changes in the age and educational structure of the population, allow, according to the author, to improve the quality of the developed functional labor market forecasts.

The Impact of Agricultural Environmental Pollutions on the Population’s Quality of Life. The Experience of Kazakhstan

2019 ◽  
Vol 10 (1) ◽  
pp. 161
Author(s):  
Bagila MUSTAFAYEVA ◽  
Saule KALTAYEVA ◽  
Ainura SAPAROVA ◽  
Elvira ALIMKULOVA ◽  
Meruert KULBAYEVA
Keyword(s):  
Quality Of Life ◽  
Structural Changes ◽  
Secondary Data ◽  
Sociological Research ◽  
Main Research ◽  
Production Development ◽  
The Republic ◽  
The Impact ◽  
Statistical Indicators

The purpose of the present study is analyzing the trends of agricultural pollutions and their impact on the health of the population of the Republic of Kazakhstan. The main research methods include a bibliographic review of the literature on the research subject, as well as qualitative and quantitative analysis of statistical indicators of agricultural production development, and the dynamics of agroecological indicators of the Republic of Kazakhstan. To assess the impact of agricultural changes on the quality of life associated with the health of the population, the analysis of secondary data of sociological research conducted by the Environmental Fund of Kazakhstan was carried out. The results of the study show that since 1999 the agriculture of the Republic of Kazakhstan has undergone structural changes which are characterized by active mechanization, intensification, and specialization. At the same time, the widespread use of fertilizers and pesticides, as well as irrigation, the growth of pollution from livestock, and the employment of heavy machinery have adverse effects on water and soil.

scholarly journals The Masking of the Decline in Manufacturing Employment by the Housing Bubble

2016 ◽  
Vol 30 (2) ◽  
pp. 179-200 ◽  
Author(s):  
Kerwin Kofi Charles ◽  
Erik Hurst ◽  
Matthew J. Notowidigdo
Keyword(s):  
Labor Market ◽  
Structural Factors ◽  
Factors Associated ◽  
Market Effects ◽  
Downward Pressure ◽  
Housing Boom ◽  
Consequent Reduction ◽  
Employment Rates ◽  
Population Ratio

The employment-to-population ratio among prime-aged adults aged 25–54 has fallen substantially since 2000. The explanations proposed for the decline in the employment-to-population ratio have been of two broad types. One set of explanations emphasizes cyclical factors associated with the recession; the second set of explanations focuses on the role of longer-run structural factors. In this paper, we argue that while the decline in manufacturing and the consequent reduction in demand for less-educated workers put downward pressure on their employment rates in the pre-recession 2000–2006 period, the increased demand for less-educated workers because of the housing boom was simultaneously pushing their employment rates upwards. For a few years, the housing boom served to “mask” the labor market effects of manufacturing decline for less-educated workers. When the housing market collapsed in 2007, there was a large, immediate decline in employment among these workers, who faced not only the sudden disappearance of jobs related to the housing boom, but also the fact that manufacturing's steady decline during the early 2000s left them with many fewer opportunities in that sector than had existed at the start of the decade.

Implications of higher retirement age for the labor market

2017 ◽  
pp. 22-39 ◽  
Author(s):  
M. Ivanova ◽  
A. Balaev ◽  
E. Gurvich
Keyword(s):  
Economic Growth ◽  
Labor Market ◽  
Labor Supply ◽  
Labor Force ◽  
Labor Demand ◽  
Retirement Age ◽  
Demographic Trends ◽  
Men And Women ◽  
Demographic Projections ◽  
The Impact

The paper considers the impact of the increase in retirement age on labor supply and economic growth. Combining own estimates of labor participation and demographic projections by the Rosstat, the authors predict marked fall in the labor force (by 5.6 million persons over 2016-2030). Labor demand is also going down but to a lesser degree. If vigorous measures are not implemented, the labor force shortage will reach 6% of the labor force by the period end, thus restraining economic growth. Even rapid and ambitious increase in the retirement age (by 1 year each year to 65 years for both men and women) can only partially mitigate the adverse consequences of demographic trends.

Income and Life Quality of Farmer Households Suffering Social Exclusion

2012 ◽  
pp. 63-87
Author(s):  
Anh Mai Ngoc ◽  
Ha Do Thi Hai ◽  
Huyen Nguyen Thi Ngoc
Keyword(s):  
Labor Market ◽  
Statistical Method ◽  
Social Exclusion ◽  
Central Government ◽  
Life Quality ◽  
Economic Aspect ◽  
Local Authorities ◽  
The Impact

This study uses descriptive statistical method to analyze the income and life qual- ity of 397 farmer households who are suffering social exclusion in an economic aspect out of a total of 725 households surveyed in five Northern provinces of Vietnam in 2010. The farmers’ opinions of the impact of the policies currently prac- ticed by the central government and local authorities to give them access to the labor market are also analyzed in this study to help management officers see how the poli- cies affect the beneficiaries so that they can later make appropriate adjustments.

scholarly journals Impact of the COVID-19 Pandemic on the Romanian Labor Market

2020 ◽  
Vol 13 (1) ◽  
pp. 271
Author(s):  
Carmen Valentina Radulescu ◽  
Georgiana-Raluca Ladaru ◽  
Sorin Burlacu ◽  
Florentina Constantin ◽  
Corina Ioanăș ◽  
...  
Keyword(s):  
Labor Market ◽  
Health Insurance ◽  
Labor Force ◽  
Semantic Differential ◽  
Current Crisis ◽  
Health Crisis ◽  
Unemployed People ◽  
Lack Of Information ◽  
Main Effects ◽  
The Impact

The present research aims to establish the impact that the current crisis situation the planet is facing, namely the COVID-19 pandemic, has had so far on the Romanian labor force market. In this context, given the lack of information and information regarding this pandemic and its effects, the administration of a questionnaire among the population was considered to identify the research results. The method of semantic differential and the method of ordering the ranks were used for the interpretation of the results. With the help of this questionnaire, it will be possible to answer the question of the research in this study: What are the main effects of the COVID-19 pandemic on the Romanian labor market? The main results showed that the COVID-19 pandemic affected the Romanian workforce; the respondents of the applied questionnaire claimed that they obtained better results and maintained a similar income, but the health crisis also influenced the mentality of employees, with respondents stating that in the event of changing jobs, they would consider it very important for the new employer to ensure the conditions for preventing and combating COVID-19, as well as complex health insurance. However, analyzing at the macroeconomic level, it was found that the COVID-19 pandemic induced an increase in the number of unemployed people in the Romanian labor market.

scholarly journals Canonical Correlation Analysis and a New Composite Index on Digitalization and Labor Force in the Context of the Industrial Revolution 4.0

2020 ◽  
Vol 12 (17) ◽  
pp. 6812
Author(s):  
Ane-Mari Androniceanu ◽  
Irina Georgescu ◽  
Manuela Tvaronavičienė ◽  
Armenia Androniceanu
Keyword(s):  
Correlation Analysis ◽  
Labor Force ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Structural Changes ◽  
Industrial Revolution ◽  
Composite Index ◽  
Developed Countries ◽  
World Economic ◽  
The Impact

The current phenomenon of the economy-accelerated digitalization, known as the “Industry 4.0”, will generate both an increased productivity, connectivity and several transformations on the labor force skills. Our research objectives are to determine the influence that digitalization has had on the workforce in several developed countries and to propose a new composite indicator that reflects these dynamics over time. We have used the Canonical Correlation Analysis (CCA) in order to identify and analyze the correlations between two sets of variables, an independent one and a dependent one. Data were collected from the World Bank and World Economic Forum for the years 2018–2019. Based on the results of our research we have determined and made a consistent analysis of the new composite index of digitalization and labor force in 19 countries. The results of our research are relevant and show not only the impact of digitalization on the labor force in different countries, but also the structural changes required by the new economic and social models. Our research can help decision-makers get in advance the necessary measures in the field of labor force in order to ensure a proper integration of these measures into the new economic model based on digitalization.

LABOR MARKET RESEARCH IN DNIPROPETROVSK REGION

2018 ◽  
Author(s):  
Tetiana Aloshyna ◽  
Keyword(s):  
Labor Market ◽  
Labor Force ◽  
Market Research ◽  
Structural Changes ◽  
Comprehensive Analysis ◽  
Market Development ◽  
General Situation ◽  
The Past ◽  
Statistical Report ◽  
The Unemployed

The main tendencies and peculiarities of the labor market development of Dnipropetrovsk region are considered in the article. There were collected and analyzed the materials of Ukrainian statistical report and Dnipropetrovsk region reports of Statistics Department. There were analyzed general situation of the labor market in Ukraine and regions. The article includes indicators of the labor force of Ukraine in terms of regions over the past five years, identifies the place of the labor market of Dnipropetrovsk region in the overall structure of the labor market of Ukraine. A comprehensive analysis of the labor force indicators of the Dnipropetrovsk region by the number of employed persons, the gender structure of the employed population and the dynamics of the relevant indicators. The structural changes in the composition of the unemployed population of the region by territorial and sexual affiliation are determined, as well as the changes in the sex and age structure of the unemployed population over the past five years. The conducted research made it possible to assess the structural changes in the region's labor force, which are accompanied by a reduction in the labor force, a decrease in the labor force, and an increase in the unemployed population.

scholarly journals Institutional determinants of regional diversity of labor market in Poland

Equilibrium ◽  
2015 ◽  
Vol 10 (1) ◽  
pp. 129
Author(s):  
Beata Woźniak-Jęchorek
Keyword(s):  
Labor Market ◽  
Unemployment Rate ◽  
Gender Gap ◽  
Institutional Perspective ◽  
Regional Diversity ◽  
Institutional Determinants ◽  
The Difference ◽  
Employment Rates ◽  
And Gender ◽  
The Impact

The article focuses on regional diversity of the Polish Labor Market from institutional perspective. The Polish Labor Market is geographically diverse in terms of unemployment and employment rates, and also in terms of economic development. At the end of 2013 the difference between the lowest and the highest unemployment rate in the Polish regions was 12.1% (Wielkopolska located in the West Poland has unemployment rate of 9.6% and Warmia - Mazury in the East has unemployment of 21.7%). The question arises whether this difference comes from the structural or institutional sources. The paper describe the character of Polish Labor Market, whereas in the second part, it traces the impact of institutional variables such as real wage, Kaitz index and Gender gap on the regional unemployment rate in 2002–2012 in Poland.

scholarly journals Analysis on the Effects of Quality of Financial Statements, Over GDP Forecasting Models. An Empirical Cross-Country Approach

2020 ◽  
Vol 15 (3) ◽  
pp. 236-260
Author(s):  
Burca Valentin ◽  
Mates Dorel ◽  
Bogdan Oana
Keyword(s):  
Economic Growth ◽  
Financial Reporting ◽  
Structural Changes ◽  
Causal Relation ◽  
Forecast Error ◽  
Financial Statements ◽  
Institutional Framework ◽  
Gdp Growth ◽  
The Impact

Abstract Under increasing macroeconomic uncertainty, governments base their economic policies on high-precision GDP estimates. The models considered based on building-up government budgets incorporate main drivers of economic growth, identified along a large range of empirical studies, mostly focused on economic productivity, factor accumulation, human capital, innovation and transfer of technology, structural changes, or institutional framework. However, there is little evidence related to the impact of accounting and assurance regulation on economic growth. Our study attempts to assess the significance of causal relation between forecasting error on GDP growth and quality of accounting standards, respectively quality of financial statements. The study analyzes the causal relation between country level measures of quality of financial reporting, synthetized by Isidro et. al. (2019), and the measure of GDP growth estimate mean error. Our results confirm a significant impact of quality of the output of financial reporting practice, related to disclosure quality and asymmetric timeliness. The results remain similar, even after controlling for accounting convergence influence. Checking for robustness of the model, we observe the main drivers of one year ahead GDP forecast error are related to institutional framework to issue high quality standards and enforce them properly. The results emphasize once again the role of economic development and corresponding complexity of economic activities and political framework impact on accounting regulation and subsequently on macroeconomic measures.

scholarly journals Labor Market in the Post-Covid Period: Challenges and Opportunities for Management

2021 ◽  
Vol 20 (3) ◽  
pp. 6-15
Author(s):  
Vera A. Gnevasheva ◽  
Keyword(s):  
Labor Market ◽  
Labor Force ◽  
Structural Changes ◽  
Demographic Factors ◽  
Current Situation ◽  
Development Scenarios ◽  
Emerging Trends ◽  
Challenges And Opportunities ◽  
Labor Resources

The conditions of the pandemic have left an imprint on the development of many socioeconomic processes, including the process of reproduction of labor resources. The consequences of the pandemic on the labor market have yet to be assessed, but today it is already possible to draw interim conclusions regarding emerging trends, transformation or strengthening of old ones. In this regard, it is important to assess in advance the structural changes of the labor market in order to timely manage the processes of formation and distribution of the labor force. Processes in the labor market, in turn, are a consequence of changes in demographic factors and, in turn, are an impetus for the development of economies and society as a whole, which emphasizes the importance of studying the current situation in the labor market, assessing it and forming predictive development scenarios.

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