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

“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.

2020 ◽  
Vol 8 (2) ◽  
pp. 8-12
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya

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.


2021 ◽  
Author(s):  
Fernando Navajas ◽  
Hildegart Ahumada ◽  
Santos Espina-Mairal ◽  
Guillermo Bermúdez

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.


Author(s):  
Katarzyna Łukiewska

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.


2021 ◽  
pp. 11-20
Author(s):  
Federico Castillo ◽  
Armando Sánchez Vargas ◽  
J. K. Gilless ◽  
Michael Wehner

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3667
Author(s):  
Claudia Diana Sabău-Popa ◽  
Luminița Rus ◽  
Dana Simona Gherai ◽  
Codruța Mare ◽  
Ioan Gheorghe Țara

In this paper we analyzed the link between companies’ performance, in terms of cash and income, and the labor productivity or management rates, in case of the companies from the energy sector listed on the Bucharest Stock Exchange. We focused on the energy sector because of the impact that its expansion has on the evolution of economies around the world and because of its dynamics in the sense of gradually shifting to the use of energy from renewable sources. We have used panel regression models to analyze the operating cash flow and the profitability rates and the determination of a causal or dependency relationship with labor productivity or management rates. The results of this study show a significant negative correlation between operating cash flows and the average duration of stock rotation, and no correlation between productivity and the operating cash flow. Instead, the average duration of stock turnover does not at all influence the profitability rates, and productivity is always significant for the return on assets, ie forthe return on equitywith a positive coefficient, as expected. The gap between the average duration of payment of suppliers and the average duration of receivables does not significantly influence neither the cash flow nor the rates of return.


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.


2017 ◽  
Vol 15 ◽  
pp. 04017 ◽  
Author(s):  
Galina Pinigina ◽  
Irina Kondrina ◽  
Svetlana Smagina ◽  
Viktor Tatsienko ◽  
Anatoliy Meshkov

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xueli Chen ◽  
Wanshu Ma ◽  
Vivian Valdmanis

PurposeThe purpose of this study is to examine the challenges involved in the trade-offs of labor productivity and per capita carbon dioxide (CO2) emission.Design/methodology/approachIn this research, we used a balanced dataset of 36 OECD countries and China between 1990 and 2018. We examined the relationship between labor productivity and per capita CO2 emission for OECD countries and China based on an Environmental Kuznets Curve (EKC) hypothesis. Further, the fixed effects model of estimation was employed to examine the impact of variables during the sample period and explore the relationship between predictor and outcome variables within an entity while controlling for all time-invariant differences.FindingsThis study confirmed the existence of the N-shape EKC hypothesis in 36 OECD countries and China. This implies that at the initial development stage, per capita CO2 emission increased with labor productivity; however, after reaching certain threshold, per capita CO2 emission began to fall with rising labor productivity. Then the per capita CO2 emission rises again when labor productivity continually increases.Originality/valueIn this study, we explored the dynamic association between labor productivity and per capita CO2 emissions for 36 OECD countries and China under the EKC framework from 1990 to 2018 by using the labor productivity and per capita CO2 emission as economic and environmental indicators of one country respectively. This study’s contribution showed the following: first, the empirical findings confirmed the N-shape relationship between labor productivity and per capita CO2 emissions for 36 OECD countries and China; second, the findings demonstrated that the association among the underlying variables by testing through the fixed effect model.


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