scholarly journals Labour Productivity in Kenyan Manufacturing and Service Industries

2018 ◽  
pp. 259-286 ◽  
Author(s):  
Almas Heshmati ◽  
Masoomeh Rashidghalam
Keyword(s):  
Labour Productivity ◽  
Service Industries

scholarly journals Services Sector in Lithuania: Labour Productivity as a Factor of Growth

Ekonomika ◽  
2008 ◽  
Vol 81 ◽  
Author(s):  
Jolanta Žemgulienė
Keyword(s):  
Growth Rate ◽  
Comparative Analysis ◽  
Productivity Growth ◽  
Labour Productivity ◽  
Value Added ◽  
Service Industries ◽  
Services Sector ◽  
Labour Productivity Growth ◽  
Empirical Regularities ◽  
The Relationship

This paper examines the tendencies of Lithuanian services sector’s value added and labour productivity during 1995-2006. Comparative analysis of the average annual labour productivity growth in manufacturing and service industries reveals arguments supporting the W. Baumol’s consideration that there can be sporadic productivity increases in nonprogressive sectors. During 1995-2000, labour productivity growth in services exceeded productivity growth in manufacturing. The paper offers an interpretation of the Verdoom law for empirical regularities of the relationship between the cross-sectorial labour productivity growth rate and the value added growth rate.

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.

High-tech business in crisis conditions: development trends of large, medium and small enterprises

2020 ◽  
Vol 18 (4) ◽  
pp. 48-58
Author(s):  
Vladislav V. Spitsyn ◽  
Alexander A. Mikhal'chuk ◽  
Anastasia A. Bulykina ◽  
Svetlana N. Popova ◽  
Irina E. Nikulina
Keyword(s):  
Small Businesses ◽  
Negative Impact ◽  
Service Industries ◽  
High Tech ◽  
Small Enterprises ◽  
Mathematical Methods ◽  
Crisis Period ◽  
Knowledge Intensive ◽  
Crisis Conditions ◽  
Medium And Small Enterprises

Leading world countries view innovative development and high-tech business as an opportunity to overcome economic stagnation and decline in economic growth. One of the modern trends in the analysis of high-tech development is the study of high-tech knowledge-intensive service industries and their development in times of crisis. The purpose of the paper is to identify patterns of development of large, medium and small enterprises in high-tech service industries in Russia during periods of crisis. Economic and economic-mathematical methods of analysis are applied to the formed samples of enterprises. The research period is 2013-2017. The financial indicators of enterprises were adjusted for the level of accumulated inflation in relation to 2013. According to results, large and medium-sized enterprises showed insignificant or weak significant positive dynamics of revenue during all years of the crisis period. The crisis period did not lead to a decrease in the revenue of these groups of enterprises. The acute phase of the crisis (2014-2015) had a pronounced negative impact on the group of small enterprises in all studied industries, but they successfully recovered in 2016-2017 and reached the pre-crisis level of revenue. The total revenue by industries and groups of enterprises in 2017 became higher than in 2013, and its growth rates were significant for many groups of enterprises, which indicates a successful overcoming of the crisis period and signs of growth in high-tech service industries. Our study shows the need for state support for small businesses in high-tech service industries in crisis conditions, and identifies the possibilities of adaptation of enterprises in these industries to an unfavorable external environment. Our results may be useful for the purposes of government stimulation of economic development in the current environment.

Improving management as a way to increase labour productivity

Upravlenie ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 24-30
Author(s):  
A. O. Ivanov
Keyword(s):  
Productivity Growth ◽  
Labour Productivity ◽  
Production Costs ◽  
Managerial Practices ◽  
Industrial Enterprises ◽  
Labour Productivity Growth ◽  
Period 2 ◽  
Main Factors ◽  
The Moment

The article gives an overview, performs analysis and classification of successful managerial practices applied at Russian industrial enterprises in the framework of the national project “Labour productivity and employment support”. The paper emphasizes the main factors of labour productivity growth as follows: investment policy, growth of human capital, and efficient use of managerial capital of enterprise. In order to determine the need of enterprises to increase labour productivity, the author proposes four universal criteria that signal the existing inefficiency even before the loss of competitiveness: 1) the dynamics of labour productivity in the company is not positive during a given period; 2) the company is behind competitors by labour productivity indicator; 3) the company is behind competitors by labour productivity growth rates indicator for a certain period; 4) unit production costs rise. These criteria allow you to take into account the situation both within the enterprise and in comparison with other enterprises. Each criteria can be considered separately or in combination with the others, applied to enterprises of different industries, specialization, and scale. Criteria indicate the direction of development in which the company is experiencing difficulties at the moment, or may experience them in the future.

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