Improving the yarn quality and labour productivity in textile rayon spinning

1976 ◽  
Vol 7 (2) ◽  
pp. 213-216
Author(s):  
I. V. Gritskov
Keyword(s):  
Labour Productivity ◽  
Yarn Quality ◽  
Textile Rayon

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.

The Spinning Quality Control Management Based on Decision Making by Data Mining Techniques

2018 ◽  
Vol 7 (1) ◽  
pp. 72
Author(s):  
Khalid AA Abakar ◽  
Chongwen Yu
Keyword(s):  
Data Mining ◽  
Kernel Functions ◽  
Support Vector ◽  
Ann Model ◽  
Data Mining Techniques ◽  
Yarn Quality ◽  
Yarn Properties ◽  
Svm Model ◽  
Rbf Kernel

This work demonstrated the possibility of using the data mining techniques such as artificial neural networks (ANN) and support vector machine (SVM) based model to predict the quality of the spinning yarn parameters. Three different kernel functions were used as SVM kernel functions which are Polynomial and Radial Basis Function (RBF) and Pearson VII Function-based Universal Kernel (PUK) and ANN model were used as data mining techniques to predict yarn properties. In this paper, it was found that the SVM model based on Person VII kernel function (PUK) have the same performance in prediction of spinning yarn quality in comparison with SVM based RBF kernel. The comparison with the ANN model showed that the two SVM models give a better prediction performance than an ANN model.

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.

The Economics of wages and wages policy in the depression and recovery period: distinctive elements in the New Zealand debate, 1931- 1936

1970 ◽  
Vol 15 (1) ◽  
Author(s):  
A. M. Endres
Keyword(s):  
New Zealand ◽  
Real Wage ◽  
Labour Productivity ◽  
Recovery Period ◽  
Prima Facie ◽  
Currency Devaluation ◽  
Money Wage ◽  
Distinctive Features ◽  
Compulsory Arbitration ◽  
Wage Cuts

This article discusses distinctive features of the New Zealand debate on the economics of wages and wages policy from 1931 up to the restoration of compulsory arbitration in 1936. Local economic orthodoxy proffered advice which, consistent with Keynes (1936), turned on the need for a general real wage reduction effected mostly through currency devaluation, rather than through further money wage cuts. Dissenters were critical of currency devaluation; they stressed excessively generous unemployment relief, real wage 'overhang' and structural real wage distorttons. Tentative estimates of both aggregate real product wage and labour productivity changes demonstrate, prima facie, that at least one strand in the dissenting argument was defensible.

The Technology and Knowledge Spıllover Effects of FDI on Labour Productıvıty—Evıdence from Medıum-Hıgh Industry in Malaysıa

2020 ◽  
Vol 11 (1) ◽  
pp. 110-110
Author(s):  
Norhanishah Mohamad Yunus ◽  
Noraida Abdul Wahob
Keyword(s):  
Developing Country ◽  
Multinational Corporations ◽  
Knowledge Spillovers ◽  
Labour Productivity ◽  
Spillover Effects ◽  
International Technology Transfer ◽  
Technology Acquisition ◽  
Productivity Function ◽  
Short Run ◽  
The Cost

A plethora of studies have revealed the importance of new knowledge transfer from foreign multinational corporations (MNCs) in encouraging higher labour productivity and sustainable competitive advantages. However, less attention is given to low labour productivity issue despite the presence of FDI, especially in the developing country context. Most of the studies only heavily emphasised on 'technology' effects rather than 'knowledge' effects on the host country as a result of the presence of foreign technology. As Malaysia is one of the major FDI recipients in Southeast Asia, the specific spillover effects of each FDI investor country in Malaysia, need to be studied. With an abundance of MNCs, international technology transfer is considered as an imported mode for technology acquisition in a developing country like Malaysia. However, the benefits of FDI spillovers on labour productivity function in Malaysia remain ambiguous, even when classified according to specific investor countries. Globalisation and liberalisation have seen trade and investment activities booming, thus increasing multilateral relations between Malaysia and other countries regardless of their level of development. Thus, this study may help the Malaysian government to justify the cost that should be invested to attract more FDI inflows towards the manufacturing industries in the short run. Keywords: spillover effects, Foreign Direct Investment, labour productivity, technology spillovers, knowledge spillovers

LABOUR PRODUCTIVITY IN THE EAEU MANUFACTURING INDUSTRY

2019 ◽  
Vol 9 (8) ◽  
pp. 1239-1260
Author(s):  
Tatyana Voronina ◽  
◽  
Gerel Ishikeeva ◽  
Keyword(s):  
Manufacturing Industry ◽  
Labour Productivity
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