Study on Labour Force in Romanian Agriculture

2018 ◽  
Vol 7 (2) ◽  
pp. 36-44 ◽  
Author(s):  
Maria Nica
Keyword(s):  
Unemployment Rate ◽  
Agricultural Production ◽  
Total Population ◽  
Labour Force ◽  
Labour Productivity ◽  
Current Level ◽  
Active Population ◽  
Current Context ◽  
The Unemployed ◽  
Total Labour

This article describes how in the current context, there are many opinions in Romania which lead to the claim that there is no longer a labour force in agriculture, especially the seasonal labour force. In the present article, it is desirable to analyse the dynamics of the agricultural labour force in recent years as well as to determine the current level, but also its productivity. Thus, with the data collected from the national, European and international databases on the total population, indicators such as the active population, the employed population, the share in the total labour force, as well as the unemployed and the unemployment rate were analysed. In order to determine labour productivity, total agricultural production is analysed along with the indicators presented above. At the end of the study, the author also analyses the earnings of the population working in agriculture, trying to determine how this indicator influences the workforce in this sector of the national economy.

scholarly journals Sytuacja na rynku pracy na obszarach wiejskich państw Unii Europejskiej

2017 ◽  
Vol 17(32) (2) ◽  
pp. 176-185
Author(s):  
Luiza Ossowska ◽  
Dorota Janiszewska
Keyword(s):  
Cluster Analysis ◽  
Unemployment Rate ◽  
Rural Areas ◽  
Labour Productivity ◽  
Youth Unemployment ◽  
Age Group ◽  
Diagnostic Features ◽  
Active Population ◽  
European Union Countries ◽  
Group 15

The main objective of this article is to discuss the diversity of European Union countries based on selected indicators of labour market in rural areas. Presented data come from 2015 (in comparison with 2013). The analysis was conducted using the cluster analysis. The following diagnostic features were used for the analysis: employment persons as a share of total 20-64 y. o. population, unemployment rate for the age group 15-74 in total active population, youth unemployment rate for the age group 15-24 in total active population and labour productivity. As a result of the cluster analysis examined regions were divided into five groups.

scholarly journals LABOUR PRODUCTIVITY ON LATVIA DAIRY FARMS IN THE EU CONTEXT

2012 ◽  
Vol 1 (4) ◽  
pp. 69
Author(s):  
Valda Bratka ◽  
Artūrs Prauliņš
Keyword(s):  
Comparative Analysis ◽  
International Comparison ◽  
Labour Force ◽  
Labour Productivity ◽  
Dairy Farms ◽  
Significant Decline ◽  
Baltic States ◽  
The Baltic ◽  
Total Labour ◽  
The Eu

The agriculture and dairy sectors are important integral parts of Latvian economy. Recently they have suffered a significant decline due to a price disparity and out–of–date technologies. At present most dairy farms work with losses or low profitability. As the effectiveness of labour force is the key prerequisite of successful agri–management, the comparative analysis of labour productivity of dairy farms in the Baltic States and the EU are performed. Special attention has been paid to the structure of labour force, revealing the proportion of paid labour in total labour resources. In contrast to previously done research the focus is on international comparison within the Baltic States and the EU average level.

scholarly journals Research dynamics and structure of the unemployed population in Ukraine

2020 ◽  
pp. 6-9
Author(s):  
Hanna SVYDLO
Keyword(s):  
Unemployment Rate ◽  
The State ◽  
Spiritual Needs ◽  
Goods And Services ◽  
Active Population ◽  
Internet Resources ◽  
Literary Sources ◽  
Working Age ◽  
State Employment ◽  
The Unemployed

The article is devoted to the analysis of the number of unemployed in Ukraine. In the article it is determined that the socio-economic development of the country is characterized by the level and quality of life of the population, that the acquisition of goods and the satisfaction of material, intellectual and spiritual needs depends on the offer of appropriate life goods in the market of goods and services, as well as the possibility of earning a person of working age. The author analyzed literary sources and distinguished domestic and foreign researchers who were engaged in the analysis of employment and unemployment. The article also substantiates the relevance of studying the unemployment rate in the country. The main purpose of the paper is to identify trends in the number of unemployed in Ukraine and its Regions. The methodological basis of the article is scientific works, materials of periodicals, Internet resources, regulatory legal acts and data of the State Statistics Service of Ukraine, the State Employment Center of Ukraine and the Ministry of Finance of Ukraine. The article presents the categorical apparatus in accordance with the methodological provisions on the classification and analysis of the economic activity of the population. The author analyzes the unemployment rate, the number of unemployed, the number of registered unemployed in the country for 2000-2019 years and compared with indicators of population and the number of economically active population of the corresponding period. The article presents data on the number of unemployed in a monthly context, as well as by professional groups for the period March 2019 – March 2020. The author presents an analysis of the structure of the number of unemployed in the regions of Ukraine relative to the number of unemployed in the country.

scholarly journals Underutiilsed Labour: More than the Unemployed?

1970 ◽  
Author(s):  
Simon Hall
Keyword(s):  
New Zealand ◽  
Unemployment Rate ◽  
Employment Growth ◽  
Labour Force ◽  
Labour Force Survey ◽  
Large Drop ◽  
Important Group ◽  
Using Data ◽  
Household Labour ◽  
The Unemployed

The official unemployment rate in New Zealand has been below 5%for nearly six years and reached a 22-year low of 3.4% in late 2007. However, official unemployment statistics understate the availability of labour given they do not include an important group of people who want to work - the marginally attached. These are people who want to work, but are either not available or not actively seeking work and therefore are not classified as unemployed.   But how different are those people that are marginally attached to the labour force compared to the unemployed? Since 1999, strong employment growth has coincided with a large drop in unemployment but the number of people marginally attached to the labour force has fallen only slightly. Using data from the Household Labour Force Survey, this paper tries to explain the reasons behind this by examining trends in those marginally attached to the labour force and whether this group is significantly different to the officially unemployed. While it is sometimes argued that those marginally attached to the labour force should be combined with the officially unemployed to give a measure of excess supply, this paper investigates whether this is sensible given they appear to be two distinct groups.

scholarly journals STATISTICAL ANALYSIS OF THE LEVEL OF ECONOMIC ACTIVITY AND LEVEL OF UNEMPLOYMENT IN UKRAINE

2019 ◽  
pp. 29-35 ◽  
Author(s):  
Nataliia Mishchuk ◽  
Oleksandr Zavada
Keyword(s):  
Correlation Analysis ◽  
Statistical Methods ◽  
Unemployment Rate ◽  
Economic Activity ◽  
Least Squares Method ◽  
Labour Force ◽  
Logistic Function ◽  
Unemployment Rates ◽  
Active Population ◽  
Number Of Factors

Introduction. Economically active population causes both direct growth of the gross domestic product of the country and the creation of progressive labour relations. It is the basis for the formation of the middle class. Instead, high unemployment (underutilization of labour potential) is a major economic and social problem for the country. Therefore, the study of factors that affect the level of economic activity of the population and the level of unemployment is an actual scientific task. It is also important to study the economic activity and unemployment of the population of Ukraine in the regional context and a comparative analysis of regions by the size of these indicators. Purpose. The article aims to obtain analytical dependencies of unemployment rates and economic activity of the population of Ukraine on a number of factors, as well as clusterization of regions of Ukraine according to unemployment rates. Method (methodology). To achieve the goal, official statistical information on the labour market of Ukraine has been used. The following statistical methods such as correlation analysis, least squares method and hierarchical cluster analysis are used. Results. The analytical dependence of the level of economic activity and the unemployment rate of Ukrainian population on the duration of studies is constructed. Economic activity, depending on the duration of studies, has been received in the form of a logistic function with saturation of 92%. The unemployment rate is respectively a downline linear function. The educational levels, which are already sufficient to ensure high economic activity of the population, have been identified. A correlation analysis of the interdependence of a number of factors that influence the level of unemployment has been established. It has been performed the clusterization of the regions of Ukraine according to the percentage of unemployment among the economically active population, the unemployment rate for one vacancy and the proportion of the urban population. Five key clusters have been identified. On the basis if use of statistical methods, we have concluded that the most important factor in reducing unemployment is the increase in the economic activity of the population. It is determined that in order to increase the competitiveness of labour force in Ukraine it is necessary to stimulate the population to improve its level of education, in particular, to increase the duration of studies.

scholarly journals RESEARCH AND MODELING OF THE UNEMPLOYMENT IN UKRAINE: CORRELATION-REGRESSION ANALYSIS

2021 ◽  
Vol 26 (3(88)) ◽  
Author(s):  
Yana Dovhenko ◽  
Zoia Khaletska ◽  
Lyudmila Yaremenko
Keyword(s):  
Principal Component Analysis ◽  
Unemployment Rate ◽  
Dynamic Models ◽  
Desirability Function ◽  
Principal Component ◽  
Factor Loading ◽  
Component Analysis ◽  
Macroeconomic Factors ◽  
Active Population ◽  
The Unemployed

The aim of the study is to conduct a statistical analysis of the modern labor market and adapt a multivariate econometric model of unemployment in Ukraine using the principal component analysis. The paper investigated the current state of unemployment in Ukraine for the last two decades. The dynamics of the unemployment rate and employment of the economically active population in Ukraine is analyzed. The analysis of the structure of the unemployed for reasons of dismissal and the tendency of changes in the size of the working age population is carried out. The gender aspect of the number of the unemployed population is investigated. Comprehensive assessments of the resources of labor potential by regions have been calculated and a rating of regions has been built. The disproportionality behind the Harrington`s desirability function was analyzed taking into account the factors of stimulants and de-stimulants. The rating assessment of unemployment for regional labor markets of Ukraine is given for the gradation of values of the desirability function. The main macroeconomic factors of influence on the level of unemployment in Ukraine have been determined. Structural and correlation-regression relationships have been analyzed. The identification of the model has been carried out. The multivariate unemployment model was adapted. The factorial database was checked for the presence of multicollinearity behind the Ferrer - Glober algorithm based on the criteria: Fisher, Spearman and Student. With the help of component analysis, the study of the relationship between factor variables was carried out. The factor loading matrix was constructed and analyzed. The matrix of the values of the principal components was calculated. The model of unemployment is constructed by the principal component analysis. The model was tested for adequacy, its economic content was analyzed. The residuals (random variables) are estimated to establish the quality of the constructed multivariate model. Dynamic models of factorial variables were built and their values for the next year were estimated. Through the normalized values of estimates of factor variables for dynamic models, the unemployment rate in Ukraine for the future (2021) was calculated.

scholarly journals WORK SAFETY AND BUSINESS OPPORTUNITIES FROM THE POINT OF VIEW OF THE UNEMPLOYED

2011 ◽  
Vol 1 (3) ◽  
pp. 101
Author(s):  
Kristīne Ivanova ◽  
Liena Poiša ◽  
Einārs Ulnicāns
Keyword(s):  
Small Business ◽  
Unemployment Rate ◽  
Energy Production ◽  
Point Of View ◽  
Work Safety ◽  
Active Population ◽  
Business Opportunities ◽  
The Unemployed ◽  
The City

The purpose of the study is to evaluate business opportunities and statistics on work safety in Latgale and Rezekne, and the unemployed people’s view on the necessity and use of the labour protection in Rezekne and its district. The unemployment rate in Rezekne is much higher than in other major Latvian cities - 23% of the economically active population. In order to improve employment in the city, it is important to improve work safety for workers and encourage the unemployed to start secure business activities, for example, a small business of bio-energy production.

Productivity Growth, Structural Change and Informality: The Case of Russia

2015 ◽  
pp. 30-61 ◽  
Author(s):  
I. Voskoboynikov ◽  
V. Gimpelson
Keyword(s):  
Structural Change ◽  
Productivity Growth ◽  
Labour Productivity ◽  
Alternative Methods ◽  
Industry Effects ◽  
Labour Productivity Growth ◽  
Russian Economy ◽  
Negative Effect ◽  
Total Labour

This study considers the influence of structural change on aggregate labour productivity growth of the Russian economy. The term "structural change" refers to labour reallocation both between industries and between formal and informal segments within an industry. Using Russia KLEMS and official Rosstat data we decompose aggregate labour productivity growth into intra-industry (within) and between industry effects with four alternative methods of the shift-share analysis. All methods provide consistent results and demonstrate that total labour reallocation has been growth enhancing though the informality expansion has had a negative effect. As our study suggests, it is caused by growing variation in productivity levels across industries.

ANALYSIS OF UNEMPLOYMENT USING FOUR-FACTOR MODEL IN EUROPEAN UNION COUNTRIES

2020 ◽  
Author(s):  
Ľubica Hurbánková ◽  
Keyword(s):  
European Union ◽  
Unemployment Rate ◽  
Economic Activity ◽  
Total Population ◽  
Factor Model ◽  
Economic Statistics ◽  
European Union Countries ◽  
Working Age ◽  
Working Age Population ◽  
Microsoft Office

The paper deals with the analysis of unemployment in European Union countries on the basis of data of the unemployment rate and the number of unemployed. The data are obtained from the Eurostat website. The aim of the paper is to find out how the number of unemployed in individual EU countries changed in 2018 compared to 2009, in which country the number of unemployed increased the most, in which the least. Appropriate tools of economic statistics are used for the analysis. Based on a four-factor model of the analysis of the number of unemployed, we find out how this indicator has changed depending on the change in the unemployment rate, the economic activity rate, the share of the working age population in the total population, and the total population. The application of statistical method is implemented through the programme Microsoft Office Excel.

Territorial Features of Application of Precision Farming Technologies

2020 ◽  
pp. 59-66
Author(s):  
E.A. Skvortsov ◽  
◽  
A.S. Gusev ◽  
Keyword(s):  
Regional Development ◽  
Unemployment Rate ◽  
Negative Correlation ◽  
Agricultural Production ◽  
Agricultural Development ◽  
Precision Farming ◽  
Production Index ◽  
Scientific Problem ◽  
Development Indicators ◽  
Production Growth

The article discusses the issues of territorial patterns in the implementation of precision farming technologies, which are insufficiently studied and constitute a significant scientific problem. The purpose of the study is to identify the territorial patterns of the introduction of precision farming technologies in conjunction with the indicators of agricultural development in the regions. The number of applied precision farming technologies was clarified, 37 regions took part in the study, 24 of them provided information on the application of these technologies. The results of correlation of regional development indicators (12 indicators in three blocks) and the amount of equipment with precision farming elements are presented. The greatest positive correlation is observed between the introduction of precision farming technologies and the agricultural production index at comparable prices (0.51) and the level of subsidies (0.37). The greatest negative correlation is observed between the introduction of these technologies and the change in the registered unemployment rate (-0.3). Based on the results obtained, it can be assumed that in regions with high values of agricultural production growth and subsidies, precision farming technologies will be most intensively introduced.

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