From the high labor productivity of front-rank workers to high labor productivity of collectives

Metallurgist ◽  
1975 ◽  
Vol 19 (7) ◽  
pp. 480-483
Author(s):  
M. P. Rybina
2015 ◽  
Vol 39 (4) ◽  
pp. 551-579
Author(s):  
Chulhee Lee

This study explores how industry-specific technological, organizational, and managerial features affected the employment of old male manufacturing workers in the early-twentieth-century United States. Industrial characteristics favorably related to the employment of old industrial workers include high labor productivity, less capital- and material-intensive production, short workdays, low intensity of work, high job flexibility, and formalized employment relationships. Results show that aged industrial workers were heavily concentrated in “unfavorable” industries, suggesting that the contemporary argument of “industrial scrap heap” was applicable for most of the manufacturing workers in the early-twentieth-century United States.


Metallurgist ◽  
1970 ◽  
Vol 14 (3) ◽  
pp. 143-146
Author(s):  
L E Lukich

Metallurgist ◽  
1966 ◽  
Vol 9 (8) ◽  
pp. 424-425
Author(s):  
B. Chusov

Metallurgist ◽  
1970 ◽  
Vol 14 (2) ◽  
pp. 84-87
Author(s):  
A. D. Filatov

Refractories ◽  
1966 ◽  
Vol 7 (7-8) ◽  
pp. 392-393
Author(s):  
M. P. Dovnar ◽  
L. G. Stochek

2018 ◽  
Vol 1 (1) ◽  
pp. 42-50
Author(s):  
Nadia Firnalista ◽  
Nofialdi Nofialdi ◽  
Zednita Azriani

Rural agroindustry can absorb a relatively high labor rate, but the added value of the products is very low, resulting in low labor productivity. This research aims at describing the process of sugarcane into brown sugar and analyzing the added value of brown sugar agroindustry as well as its distribution in Bukik Batabuah Village, Canduang Agam Sub-district. The data were collected from six brown sugar processing home industries. This research found that there were three kinds of brown sugar namely saka kariang, saka gatah kuniang and saka gatah merah, which were only different in the time of cooking, storage process of tengguli, and heating of tengguli on saka gatah processing. These made the three types of brown sugar have different texture, taste, color and price. From their added value, saka kariang and saka gatah kuniang were classified as medium products, while saka gatah merah was classified as a low product. In addition, this research reveals that the smallest added value distribution was received by paid labors. Based on the findings, the following suggestions are recommended: (1) the brown sugar business should focus on developing a business of saka kariang processing; and (2) the added value of brown sugar could be enhanced by the use of effective and efficient production machinery, so that the added value distributed to the brown sugar agroindustry could be improved


2020 ◽  
pp. 98-114
Author(s):  
Evguenia V. Bessonova ◽  
Alexander G. Morozov ◽  
Natalia A. Turdyeva ◽  
Anna N. Tsvetkova

The paper considers necessary conditions for acceleration of labor productivity growth in Russia. Based on micro data, as well as aggregate data, the paper quantifies the contribution of small and medium firms to labor productivity growth. It shows that mere increase of the number of small and medium enterprises is not as important for positive effects of these programs, as qualitative improvements: development of favorable environment for growth, which is largely determined by business climate. Accelerating productivity growth involves redistribution of labor and capital from inefficient to efficient enterprises. In particular, it is necessary to create conditions, which allow a firm to grow after it enters the market instead of stagnating as a small firm with low efficiency. At the same time, it is necessary for ineffective firms, which exhausted their growth potential, to have an opportunity to exit the market easily leaving resources including labor to fast-growing companies.


2016 ◽  
pp. 67-93 ◽  
Author(s):  
A. Zaytsev

Using level accounting methodology this article examines sources of per capita GDP and labor productivity differences between Russia and developed and developing countries. It considers the role played by the following determinants in per capita GDP gap: per hour labor productivity, number of hours worked per worker and labor-population ratio. It is shown that labor productivity difference is the main reason of Russia’s lagging behind. Factors of Russia’s low labor productivity are then estimated. It is found that 33-39% of 2.5-5-times labor productivity gap (estimated for non-oil sector) between Russia and developed countries (US, Canada, Germany, Norway) is explained by lower capital-to-labor ratio and the latter 58-65% of the gap is due to lower technological level (multifactor productivity). Human capital level in Russia is almost the same as in developed countries, so it explains only 2-4% of labor productivity gap.


Sign in / Sign up

Export Citation Format

Share Document