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.

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 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.

Using distributed lag models to predict regional budget revenues

2020 ◽  
Vol 19 (6) ◽  
pp. 1154-1172
Author(s):  
Yu.V. Granitsa
Keyword(s):  
Unemployment Rate ◽  
Consumer Price Index ◽  
Mathematical Methods ◽  
Distributed Lag ◽  
Key Indicator ◽  
Distributed Lag Models ◽  
Regional Budget ◽  
The Impact ◽  
Financial Result

Subject. The article addresses projections of regional budget revenues, using distributed lag models. Objectives. The purpose is to review economic and statistical tools that are suitable for the analysis of relationship between the revenues of the regional budget system and regional macroeconomic predictors. Methods. The study draws on statistical, constructive, economic and mathematical methods of analysis. Results. In models with quantitative variables obtained under the Almon method, the significant predictors in the forecasting of regional budget revenues are determined mainly by the balanced financial result, the consumer price index, which characterizes inflation processes in the region, and the unemployment rate being the key indicator of the labor market. Models with quantitative variables obtained through the Koyck transformation are characterized by a wider range of predictors, the composition of which is determined by the peculiarities of economic situation in regions. The two-year forecast provides the average lag obtained during the evaluation of the models. The exception is the impact of unemployment rate, which is characterized as long-term. Conclusions. To generate forecasts of budget parameters, the results of both the Koyck method and the Almon method should be considered, though the former is more promising.

The Nexus between Financial Development, Economic Growth and Energy Consumption in India: A VECM Technique

2020 ◽  
pp. 602-612
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Financial Development ◽  
Consumer Price Index ◽  
Development Economic ◽  
Energy Prices ◽  
Vector Error Correction ◽  
Percent Increase ◽  
Growth Energy ◽  
The Impact

The demand for energy consumption requires efficient financial development in terms of bank credit. Therefore, this study examines the nexus between Financial Development, Economic Growth, Energy Prices and Energy Consumption in India, utilizing Vector Error Correction Model (VECM) technique to determine the nature of short and long term relationships from 2010 to 2019. The estimation of results indicates that a one percent increase in bank credits to private sector results in 0.10 percent increase in energy consumption and 0.28 percent increase in energy consumption responses to 1 percent increase in economic growth. It is also observed that the impact of energy price proxied by consumer price index is statistically significant with a negative sign indicating the consistency with the theory.

Product Innovation and Price Measurement

2018 ◽  
Author(s):  
Paul Stoneman ◽  
Eleonora Bartoloni ◽  
Maurizio Baussola
Keyword(s):  
Product Innovation ◽  
Common Knowledge ◽  
Consumer Price Index ◽  
The United States ◽  
Electronic Products ◽  
Quality Adjustment ◽  
Price Indexes ◽  
Price Measurement ◽  
The Impact ◽  
Methodological Guidelines

This chapter addresses how innovation may affect price measurement—a key issue for the accuracy of measures of principal economic indicators and a long-discussed one. Two main changes related to product innovation are important in this context: new goods (which are often cheaper) are driving old goods out of the market; and new products often offer improved quality. The literature suggests that a failure to properly account for these has added 0.8 percentage points per year to the measured Consumer Price Index in the United States. Quality adjustment approaches in all OECD countries have converged towards general methodological guidelines that represent a common knowledge base. The hedonic methodology is applied in a significant number of countries and for specific categories of goods, in particular electronic products. The use of this approach is exemplified and the impact on price indexes evaluated.

The Impact of Heat Waves on Agricultural Labor Productivity and Output

2021 ◽  
pp. 11-20
Author(s):  
Federico Castillo ◽  
Armando Sánchez Vargas ◽  
J. K. Gilless ◽  
Michael Wehner
Keyword(s):  
Labor Productivity ◽  
Heat Waves ◽  
Agricultural Labor ◽  
Agricultural Labor Productivity ◽  
The Impact

scholarly journals Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods

2021 ◽  
Author(s):  
Sebastian Weinand
Keyword(s):  
Price Level ◽  
Consumer Price Index ◽  
Index Number ◽  
Price Data ◽  
Estimation Efficiency ◽  
Spatial Price ◽  
Price Comparisons ◽  
High Degree ◽  
The Impact

AbstractSpatial price comparisons rely to a high degree on the quality of the underlying price data that are collected within or across countries. Below the basic heading level, these price data often exhibit large gaps. Therefore, stochastic index number methods like the Country–Product–Dummy (CPD) method and the Gini–Eltetö–Köves–Szulc (GEKS) method are utilised for the aggregation of the price data into higher-level indices. Although the two index number methods produce differing price level estimates when prices are missing, the present paper demonstrates that both can be derived from exactly the same stochastic model. For a specific case of missing prices, it is shown that the formula underlying these price level estimates differs between the two methods only in weighting. The impact of missing prices on the efficiency of the price level estimates is analysed in two simulation studies. It can be shown that the CPD method slightly outperforms the GEKS method. Using micro data of Germany’s Consumer Price Index, it can be observed that more narrowly defined products improve estimation efficiency.

An Analysis of Procedural Medicare Reimbursement Rates in Hand Surgery: 2000 to 2019

Hand ◽  
2021 ◽  
pp. 155894472199080
Author(s):  
Danielle A Thornburg ◽  
Nikita Gupta ◽  
Nathan Chow ◽  
Jack Haglin ◽  
Shelley Noland
Keyword(s):  
Consumer Price Index ◽  
Hand Surgery ◽  
The United States ◽  
Medicare Reimbursement ◽  
Reimbursement Rate ◽  
Time Period ◽  
Long Term Trends ◽  
Fee Schedule ◽  
Procedure Codes ◽  
The Impact

Background: Medicare reimbursement trends across multiple surgical subspecialties have been analyzed; however, little has been reported regarding the long-term trends in reimbursement of hand surgery procedures. The aim of this study is to analyze trends in Medicare reimbursement for commonly performed hand surgeries. Methods: Using the Centers for Medicare and Medicaid Services Physician and Other Supplier Public Use File, we determined the 20 hand surgery procedure codes most commonly billed to Medicare in 2016. Reimbursement rates were collected and analyzed for each code from The Physician Fee Schedule Look-Up Tool for years 2000 to 2019. We compared the change in reimbursement rate for each procedure to the rate of inflation in US dollars, using the Consumer Price Index (CPI) over the same time period. Results: The reimbursement rate for each procedure increased on average by 13.9% during the study period while the United States CPI increased significantly more by 46.7% ( P < .0001). When all reimbursement data were adjusted for inflation to 2019 dollars, the average reimbursement for all included procedures in this study decreased by 22.6% from 2000 to 2019. The average adjusted reimbursement rate for all procedures decreased by 21.92% from 2000 to 2009 and decreased by 0.86% on average from 2009 to 2019 ( P < .0001). Conclusion: When adjusted for inflation, Medicare reimbursement for hand surgery has steadily decreased over the past 20 years. It will be important to consider the implications of these trends when evaluating healthcare policies and the impact this has on access to hand surgery.

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