scholarly journals Czynniki wytwórcze w branży przetwórstwa rybnego w Polsce w okresie poakcesyjnym

Author(s):  
Sebastian Kubala

The study of the level and dynamics of changes of productivity of individual sectors allows to evaluate possible effectiveness of the resources used as well as identification of sources of production growth. It shows the extent to which changes in the level of the industry is dependent on factors of work and capital. The aim of the work was to study the efficiency of production factors in the fish processing industry in Poland in the years 2005-2016. To determine the rate of changes of the efficiency of the production factors there were indicators used that were based on production, employment and gross value of fixed assets. The study showed that in the fish processing industry there was a general growth tendency of labor productivity. There were also observed adverse changes in capital productivity. The greater impact on the level of production has a capital factor than the level of employment. In addition, the value of production increased at a rate faster than the total expenditure of factors shaping it.

2020 ◽  
Vol 7 (3) ◽  
pp. 28-33
Author(s):  
Ravshan Mamatov ◽  

The economic growth of the Republic of Uzbekistan will depend on production factors that contribute to the annual growth of the country's GDP. At the same time, extensive production growth will lead to the implementation of unpromising investments. A growing share of innovation-oriented investments in the total investment in fixed assets in the country will lead to intensive economic growth in the country


2020 ◽  
Vol 8 (5) ◽  
pp. 40-45
Author(s):  
Elena Basovskaya ◽  
Leonid Basovskiy

On the basis of econometric models of labor productivity in the regions of the Central Federal District, estimates of private - regional coefficients of labor productivity elasticity by productivity factors were obtained. Fixed assets are used most effectively in the Belgorod and Moscow regions and in Moscow. The least efficient use of fixed assets is in the Ivanovo, Bryansk and Tver regions. Mechanisms for stimulating labor productivity associated with inequality in income distribution function most effectively in Belgorod, Moscow regions and in Moscow. Mechanisms for stimulating labor productivity associated with inequality of income distribution are the least effective in Ivanovo and Bryansk regions. The most effective scientific activity is in the Belgorod and Moscow regions and in Moscow. The least effective scientific activity is in the Ivanovo and Bryansk regions. The most effective export activity is in the Belgorod and Moscow regions and in Moscow. The least efficient export activities are in Ivanovo, Bryansk and Kostroma regions.


Author(s):  
Tadeusz Filipiak

The objective of the study was to assess the productivity of horticultural production factors in Poland in the years 2004- 2014. The general characteristics of horticultural holdings in Poland were determined, including the productivity of labor and capital, as well as the productivity of land per hectare of UAA. The average farm size increased by 6% on average in the period 2006-2014 and reached 6 hectares in 2014. It was found that in the horticultural farms the productivity of all factors of production in nominal terms increased. In real terms, labor productivity decreased by about 16.6%, capital productivity remained at the same level, and land productivity decreased by more than 52.3%. The production value for 1 AWU was 81,000 in 2014, for 1 ha 38 thous. zł, and for 1 zł of assets 0.38 zł. The observed tendencies of changes in factor productivity and income levels indicate that the scale of production, including farm size, is needed to grow in order to maintain the viability of farms.


2018 ◽  
Vol 6 (4) ◽  
pp. 1-5
Author(s):  
Джамалутдин Телеев ◽  
Dzhamalutdin Teleev

The article presents the results of the analysis of the dynamics of indicators of output of products, works, services, capital productivity and capital ratio, the level of depreciation of fixed assets in the context of economic activities. According to the results of the analysis, the influence of labor productivity and the introduction of new technologies on one of the main indicators of the business process functioning - the output of products, work-services. The necessity of a process of large-scale development and introduction of new technologies with the aim of increasing labor productivity, increasing capital productivity and, ultimately, increasing the output of new products due to qualitative factors has been determined.


2019 ◽  
Vol 80 (12) ◽  
pp. 2310-2319 ◽  
Author(s):  
Prashant Dhanke ◽  
Sameer Wagh ◽  
Abhijeet Patil

Abstract Water generated from the fish processing industry is contaminated with organic matter. This organic matter present in wastewater increases the biochemical oxygen demand (BOD) and chemical oxygen demand (COD). A new technology, hydrodynamic cavitation (HC) is used to deal with this wastewater produced in fish processing plants. The orifice plate is used in the HC reactor to generate a cavitation effect. The intensification of this technique was carried out with the help of hydrogen peroxide (H2O2) and TiO2. The treatment of this wastewater is reported in terms of percent degradation in BOD and COD and in biodegradability index (BI). Operating parameters like inlet pressure, pH, operating temperature and H2O2 doses were used to find the optimum condition. 15 g/L of H2O2 gave 69.5% reduction of COD in the 120 min of treatment that also increases BI value to 0.93 at inlet pressure 8 bar, Plate-5, temperature (30 °C), and pH 4. In the ultrasonic cavitation (UC) reactor, COD reduction is 68.7% without TiO2 and with TiO2 it is 71.2%. Also, this HC and UC reactor reduced CFU count to a great extent at the same operating conditions.


2019 ◽  
Vol 59 (2) ◽  
pp. 247-266
Author(s):  
Tien Duc Pham

Tourism productivity measures are quite diverse, not always compatible and usually based partly on labor productivity for hotels and restaurants. This article develops a holistic approach that integrates the principles of the growth accounting framework and tourism satellite account to measure multifactor productivity, labor productivity and capital productivity for the Australian tourism industry. This study shows that tourism has been identified as a reservoir for other industries through the ebbs and flows of labor demands. Compared with the rest of the economy, the average growth of labor productivity—that is, income per unit of labor—for tourism is stagnant, and has reached an unprecedented low, six times below the market sector average, mainly because of low multifactor productivity. The results are valuable for policy makers and the lobbying groups wanting to identify areas of need for policy changes to ensure the healthy long-term growth of tourism.


Author(s):  
Eddy Mantjoro

Abstract Goals to be achieved through this research are as follows: (1) the scientific explanation about the initial conditions of fishing effort in the area of ​​research in this area is South Minahasa; (2) To obtain information on the historical development of the fish processing industry in North Sulawesi and Minahasa south in particular; (3) To be informed of the obstacles and challenges faced by the fisheries sector investors, especially fish processing timber. This research focuses on one unit of the fish processing industry wooden fish processing plant, and then in the case study method is relevant. The case study method is expected that researchers can examine more detailed and focused on problems experienced by fish processing company. As a consequence the results can not be generalized as like which would otherwise require science. Unless some case studies on the same topic on other companies and the result is the same, the efforts generalizations can be made. However the results of the case study can paint a picture on the history, constraints and barriers to investment that occur in similar industries and other industries. The initial condition of fisheries business investment in South Minahasa in 1995 was still dominated by small-scale businesses, which is limited to household livelihoods of fishermen. How governance is still very traditional in terms of business objectives just to meet daily food needs. Wooden fish processing technology already existed and developed since the year 700 BC in Japan. In Indonesia, especially in North Sulawesi started introduced in 1927 by a Japanese man named Hara Ko. The new investment started in 1971 until now. Investment in fish processing faces many obstacles and challenges, namely (1) the limited market share, (2) Legal certainty is not guaranteed, (3) Investors from outside the region and abroad to invest by holding on minimal information about the culture and traditions of local communities (4 ) morale of local residents very traditional if not arguably worse. (5) The investment policy is supported by the local government level only at the Regent while Assiten level, down to the village more displays of terror and intimidation to investors. Keywords: fish factory, investment, history, constraints, obstacles Abstrak Tujuan yang ingin dicapai melalui penelitian ini ialah sebagai berikut: (1) Penjelasan ilmiah tentang kondisi awal usaha perikanan di wilayah penelitian dalam hal ini Daerah Minahasa Selatan. (2) Memperoleh informasi tentang sejarah perkembangan industri pengolahan ikan di Sulawesi Utara dan Minahasa selatan khususnya. (3) Mendapatkan informasi mengenai kendala dan tantangan yang dihadapi oleh investor bidang perikanan khususnya pengolahan ikan kayu. Penelitian ini berfokus pada satu unit industri pengolahan ikan yakni pabrik pengolahan ikan kayu, maka metode studi kasus di pandang relevan. Metode studi kasus diharapkan peneliti dapat mengkaji lebih rinci dan fokus pada masalah yang dialami oleh perusahan pengolahan ikan. Sebagai konsekwensinya hasil penelitian tidak dapat digeneralisir sebagai layaknya yang di syaratkan oleh ilmu pengetahuan. Kecuali beberapa studi kasus dengan topik yang sama pada perusahan lain dan hasilnya sama maka upaya generalisasi dapat dilakukan. Walau demikian hasil studi kasus dapat melukiskan gambaran mengenai sejarah, kendala dan hambatan investasi yang terjadi pada industri sejenis dan industri lainnya. Kondisi awal usaha perikanan di wilayah Minahasa selatan pada tahun 1995 ketika investasi pabrik pengolahan ikan kayu di mulai masih didominasi oleh usaha skala kecil, yaitu sebatas mata pencaharian rumah tangga nelayan. Cara kelola pun masih sangat tradisional dalam pengertian tujuan usaha hanya untuk memenuhi kebutuhan makanan harian. Teknologi pengolahan ikan kayu sudah ada dan berkembang sejak tahun 700 sebelum masehi di Jepang. Di Indonesia khususnya di Sulawesi Utara mulai di perkenalkan pada tahun 1927 oleh orang Jepang bernama Hara Ko. Investasi baru dimulai pada tahun 1971 hingga sekarang. Investasi bidang pengolahan ikan menghadapi banyak kendala dan tantangan, yaitu (1) keterbatasan pangsa pasar, (2) Kepastian hukum tidak terjamin, (3) Investor dari luar daerah dan luar negeri berinvestasi dengan berpegang pada informasi minim mengenai budaya dan tradisi masyarakat lokal (4) moral kerja penduduk lokal amat tradisional jika tidak boleh dikatakan buruk.(5) Kebijakan investasi ditunjang oleh pemerintah daerah hanya pada level Bupati sedangkan level assiten, ke bawah sampai kelurahan lebih banyak menampilkan teror dan intimidasi kepada investor. Kata Kunci : pabrik ikan, investasi, sejarah, kendala, hambatan


Vestnik NSUEM ◽  
2019 ◽  
pp. 130-142
Author(s):  
E. N. Akerman ◽  
A. A. Mikhalchuk ◽  
V. V. Spitsyn ◽  
N. O. Chistyakova

The relevance of the study has been determined by the acceleration of innovation growth, which encourages companies to use imitation strategies in response to disruptive technological changes.The study used the Cobb-Douglas production function to evaluate the effectiveness of the used production factors of Russian IT companies. A high-quality 3-cluster model of IT companies was built, as well as highly significant two-factor production functions of Cobb-Douglas, which made it possible to identify the contribution of the main factors (wage and fixed assets) to the production volume (revenue) for each cluster.


Sign in / Sign up

Export Citation Format

Share Document