scholarly journals Wpływ wybranych czynników w Polsce na produktywność zasobów w przetwórstwie przemysłowym ze szczególnym uwzględnieniem przetwórstwa żywności

2014 ◽  
pp. 145-158
Author(s):  
Katarzyna Łukiewska
Keyword(s):  
Labor Productivity ◽  
Food Industry ◽  
Correlation Coefficients ◽  
Technical Equipment ◽  
Investment Activity ◽  
Food Industries ◽  
Capital Productivity ◽  
Total Productivity ◽  
The Impact

The study assesses the level of selected factors and their impact on the productivity of the food industry against the background of manufacturing in the years 1995–2011. The influence of wages, investment, innovation and technical infrastructure on labor productivity in manufacturing and food industries was observed. The impact of investment and innovation on total productivity, as well as investment in capital productivity and innovation on labor productivity in manufacturing was revealed (correlation coefficients were high and statistically significant). The coefficients of determination in most of these cases showed a good fit of regression models to empirical data. The level of productivity factors was generally lower in the food industry than in manufacturing. However, there was an increase in investment activity and innovation and technical equipment working in the food industry during the Polish accession to the EU. However, to continue productivity growth of the food industry in the long term, it will be necessary to make non-technological innovation.

Tourism Productivity Theory and Measurement for Policy Implications: The Case of Australia

2019 ◽  
Vol 59 (2) ◽  
pp. 247-266
Author(s):  
Tien Duc Pham
Keyword(s):  
Labor Productivity ◽  
Holistic Approach ◽  
Tourism Industry ◽  
Policy Implications ◽  
Policy Makers ◽  
Average Growth ◽  
Multifactor Productivity ◽  
Capital Productivity ◽  
Productivity Theory

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.

scholarly journals Incentive Contract Design considering Fairness Preferences and Carbon Emission Reduction Multiobjective Tasks

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhipeng Li ◽  
Shuzhen Zhu ◽  
Xinyu Cao
Keyword(s):  
Discount Rate ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Correlation Coefficients ◽  
Carbon Emission Reduction ◽  
Incentive Model ◽  
Incentive Strategies ◽  
The Government ◽  
The Impact

Considering the multitargets of corporate carbon emission reduction and the fairness preference psychology of the company, a government incentive model for corporate carbon emission reduction was constructed. The impact of corporate fairness preferences on government carbon emission reduction incentive strategies is studied. In addition, numerical simulation is used to analyze the impact of changes in correlation coefficients, fairness preference coefficients, and discount rates on the optimal enterprise effort coefficient and the government optimal incentive coefficient. Research shows that the degree of fairness preference of a company has a direct impact on the degree of corporate effort, while the discount rate will only have an impact on the company’s long-term effort. In order to improve corporate carbon emission reduction efforts, the government must not only consider the impact of fairness preference on corporate efforts but also flexibly adjust the incentive coefficient of long-term and short-term tasks based on the discount rate.

EVALUATION OF PROCESSES OF CONCENTRATION BUSINESS ENTITIES IN PROCESSING OF ANIMAL-BASED PRODUCTS IN POLAND

2018 ◽  
Vol XIX (6) ◽  
pp. 62-67 ◽  
Author(s):  
Piotr Chechelski
Keyword(s):  
Food Industry ◽  
Technical Equipment ◽  
The European Union ◽  
Work Efficiency ◽  
Animal Products ◽  
Animal Product ◽  
Business Entities ◽  
Stable Employment ◽  
The Impact ◽  
The Eu

The aim of the article is to assess the level and directions of changes in the subjective structures of animal products processing in the food industry in Poland in 2004 -2015. Considerations were started from the comparison of changes in the subjective structures of the food industry in Poland and the European Union. In the following, changes in the share of individual groups of enterprises were presented, both in the total number of entities, average employment, and in the value of sold production, and the impact of these changes on labor productivity in the analyzed groups of enterprises. Based on the analysis, it can be concluded that the integration processes with the EU and globalization have had a significant impact on the concentration processes in the animal product industries (investments in modernization and adjustment of production to Community requirements). The process of changes in entity structures in this segment was faster than in the entire food industry and was diversified in the industry. The improvement of work efficiency was the result of more production, with relatively stable employment, but also the increase in the technical equipment of work.

On the Production Functions of Labor Productivity in the Regions of Russia

2020 ◽  
Vol 8 (2) ◽  
pp. 8-12
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Labor Productivity ◽  
Consumer Price Index ◽  
Production Functions ◽  
Government Employees ◽  
Capital Productivity ◽  
Production Technologies ◽  
Advanced Production ◽  
The Impact ◽  
Continue Work ◽  
Exclusion Method

To identify determinants of labor productivity, correlation relationships were estimated for indicators reflecting the influence of 30 socio-economic and innovative factors in the regions for 2015-2017. Of the 30 factors, for some factors, a significant correlation was found, characterizing their indicators and labor productivity. For these indicators, models of linear production functions were constructed. Modeling made it possible to establish that the following factors have a significant impact on labor productivity: capital productivity, investment, foreign investment, the number of government employees, wages, income inequalities, the number of university faculty, the number of advanced production technologies used, and the consumer price index. The instability of assessing the impact of indicators characterizing the determinants of labor productivity can be explained by two reasons of a different nature. Firstly, the development of the country's economic system at present may in fact be unstable. This problem determines the need for additional research. Secondly, the models obtained by the standard inclusion-exclusion method without taking into account and eliminating the multicollenarity effect can significantly reduce the reliability of estimates obtained by the least common square method. This determines the need to continue work using a more advanced modeling technique.

scholarly journals On the sensitivity of tidal network characterization to power law estimation

2014 ◽  
Vol 39 ◽  
pp. 69-73 ◽  
Author(s):  
M. Jiménez ◽  
S. Castanedo ◽  
Z. Zhou ◽  
G. Coco ◽  
R. Medina ◽  
...  
Keyword(s):  
Power Law ◽  
Probability Distributions ◽  
Correlation Coefficients ◽  
Drainage Area ◽  
Cumulative Distribution ◽  
Volume Distribution ◽  
Drainage Volume ◽  
Open Issue ◽  
The Impact

Abstract. Long-term simulations (3000 yr) of an idealized basin using different tidal ranges (1, 2 and 3 m) and grain sizes (120, 480 and 960 μm) have been performed in order to cover a range of hydrodynamic and sedimentary conditions. Two different cell sizes (50 and 100 m) have been used to study the impact of cell size on tidal network development. The probability distributions of the drainage area and the drainage volume have been computed for every simulation (during an ebb and a flood phase). Power law distributions are observed in drainage area and drainage volume distribution. As an objective estimation of the exponent of a power law is an open issue, different approaches (linear binning, normalized logarithmic binning, cumulative distribution function and maximum likelihood) proposed by White et al. (2008) to estimate the exponent have been used to carry out a sensitivity analysis. Our findings indicate that although all methods results in high and significant correlation coefficients, more work is needed to develop a universal, objective estimation of the exponent.

scholarly journals SMEs Sustainability in Times of Crisis

2022 ◽  
Author(s):  
Otilia-Maria Bordeianu ◽  
◽  
Claudia-Elena Grigoras-Ichim ◽  
Lucia Morosan-Danila ◽  
◽  
...  
Keyword(s):  
Correlation Coefficients ◽  
State Institutions ◽  
North East ◽  
The North ◽  
East Region ◽  
Sustainability Strategies ◽  
Local Companies ◽  
The Impact ◽  
Different Levels

The global crisis generated by the COVID-19 pandemic among the population and at the level of companies, state institutions, etc., underlined the importance of analysing its impact at different levels (intern, national and international level). The concepts of sustainability, development and growth must be aware, adapted and implemented more and more frequently, even constantly, in order to cope with the current evolution of the economy (and not only). The paper is an empirical research conducted in the North-East Region of Romania, aiming to analyse the impact of COVID-19 on local companies (especially SME’s), in the context of existing correlation between the COVID-19 impact on resizing, restricting, changing the number of active employees, changing revenue, changing turnover and changing profit, based on the Spearman correlation coefficients. In this sense, it was important to implement sustainability strategies and ensure the activity and resources of companies in the long term, because the effects of an economic crisis (natural resources, human resources, not only financial) are felt in 2021 and will be felt in the future 10 years. The paper concludes with two practical solutions to ensure the sustainability of the companies involved in the study, solutions that can be applied by all companies that have been affected by the COVID-19 pandemic.

Productivity Growth and Infrastructure-Related Sectors: The Case of Mexico

2021 ◽  
Author(s):  
Fernando Navajas ◽  
Hildegart Ahumada ◽  
Santos Espina-Mairal ◽  
Guillermo Bermúdez
Keyword(s):  
Economic Growth ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Competition Policy ◽  
Regional Differences ◽  
Technical Note ◽  
Regulatory Competition ◽  
Wholesale Market ◽  
Capital Productivity ◽  
The Impact

This technical note examines the interactions between infrastructure and productivity growth in Mexico. To address this relation, we follow an approach that seek to tie down infrastructure productivity improvements in terms of the impact of particular types of infrastructure on particular sectors, thus providing the basis for informed decisions on investment priorities for economic growth. We have been able to identify significant relations between labor and capital productivity improvements, or capital deepening (i.e., investment) in infrastructure-related sectors and labor productivity improvements in other sectors. Sectoral infrastructure priorities can be found in the transport and energy sectors, broadly defined, with effects that have regional differences. The nature of our results points to complementary policies and the need to improve the regulatory compact for infrastructure in Mexico. Our results recommend special attention to the regulatory/competition policy approach in transport, and the electricity wholesale market.

scholarly journals The impact of the pandemic covid-19 on the small industry of processing the "Krecek" crackers in Bantul Yogyakarta

2021 ◽  
Vol 316 ◽  
pp. 01025
Author(s):  
Sutrisno ◽  
Nanang Setiyo
Keyword(s):  
Labor Productivity ◽  
Total Production ◽  
Goat Skin ◽  
Capital Productivity ◽  
Small Industry ◽  
The Impact ◽  
Industrial Center

“Krecek” crackers are a popular food in Yogyakarta and its surroundings, made from cow, buffalo or goat skin. A “Krecek” cracker is usually processed as a complement to the Gudeg menu which is very popular in Yogyakarta. This study aims to determine total production, revenue, income, profit, R / C ratio, capital productivity, and labor productivity before and during the Covid-19 pandemic. The research was conducted in a small industrial center (home industry) processing "Krecek". This research was conducted by using the census method to 33 home industrial cracker processing “krecek” in production centers, in Segoroyoso, Pleret, Bantul. The results showed that during the Covid-19 pandemic era, the processing of "krecek" decreased production by an average of 33.87%, income decreased by 20.02%, and profits decreased by 21.35%. However, the RC ratio increased from 1.07 to 1.09, labor productivity increased by 30.17% and capital productivity increased by 22.63%. The conclusion of this research is that the "Krecek" cracker processing business during the Covid-19 pandemic has decreased production, income and profits, but it is still feasible.

scholarly journals Connection of Investment Activity and Digitalization in the Megacities of the Republic of Kazakhstan

2021 ◽  
Vol 16 (3) ◽  
pp. 94-105
Author(s):  
L. M. Bekenova ◽  
V. A. Korvyakov ◽  
I. M. Drapkin
Keyword(s):  
Correlation Analysis ◽  
Investment Activity ◽  
Factors Affecting ◽  
Digital Infrastructure ◽  
Future Potential ◽  
The Republic ◽  
The Impact ◽  
The Relationship ◽  
The City

The purpose of the article is to study the influence of digitalization factors on the investment activity of the largest cities of the Republic of Kazakhstan. During the research, the methods of correlation analysis, indexing, comparison, generalization, and synthesis were applied. The scientific novelty of the study lies in assessing the impact of digitalization on the investment potential of cities. The authors selected and analyzed indicators for assessing the level of digitalization of the megalopolises of the Republic of Kazakhstan; the methodology was modified and the level of digitalization of cities of republican significance of the Republic of Kazakhstan was assessed, conclusions were drawn about the current and future potential of digitalization as a factor in increasing the investment attractiveness of these cities. General conclusions were made that for Almaty and Nur-Sultan, digitalization is already a good factor in attracting investment, while Shymkent needs enhanced development of digital infrastructure for it to become a factor in increasing investment activity in the city. The research results can be used both in the formation of long-term plans for the development of these cities, and as a basis for further research in this direction. Prospects for further research on this topic - in increasing the available reliable and relevant data through the collection of official statistics, expanding the range of digitalization factors affecting investment activity and the use of more comprehensive assessment methods that will determine not only the closeness of the relationship, but also the exact value of the effects of factors each other.

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