Specification Scheme of the Stochastic Production Function for Assessment of Technical Efficiency of the Regions in the Russian Federation

2018 ◽  
Vol 3 (1) ◽  
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Russian Federation ◽  
The Russian Federation ◽  
Stochastic Production

scholarly journals ESTIMASI FUNGSI PRODUKSI DAN EFISIENSI ALOKASI SUMBERDAYA PETANI KEDELAI DI LOMBOK BARAT

2006 ◽  
Vol 3 (1) ◽  
pp. 145-148 ◽  
Author(s):  
Nurhayatin Nufus
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Farm Management ◽  
Management Level ◽  
Stochastic Frontier Production Function ◽  
Stochastic Production ◽  
Frontier Production Function ◽  
Land Size

This research  aims  to analyses  factors  influence  on production  and  resources  allocation  of soybeans  by farmer  at  West Lombok.  Production  function  was estimated  from survey data and technical  efficiency  was used to indicate  farm management  level  through maximum  likelihood,  which  was transformed  into frontier stochastic  production  function.  The land  size,  fertilizer  (urea and  TSP), labor  and pesticide  influence  the production  of soybean  at site.  The technical efficciency  level of Soybean fann was 95,6 percent   The  usage of TSP and pesticide reached allocative efficiency while urea and seeds were al/ocative efficiency yet Key words:  technical  effICiency, allocative  effICiency, and stochastic  frontier  production  function.

scholarly journals Influence of Expenditures in the Development of the Digital Economy on the Volume of Russia's GDP

2020 ◽  
Vol 19 (4) ◽  
pp. 419-440
Author(s):  
S. P. Petrov ◽  
◽  
M. P. Maslov ◽  
A. I. Karpovich ◽  
◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Production Function ◽  
Russian Federation ◽  
Theory Of Elasticity ◽  
Digital Economy ◽  
Linear Regression Method ◽  
Cross Sectional ◽  
Information Base ◽  
Statistical Indicator ◽  
The Russian Federation

The purpose of this work is to assess the effectiveness of achieving planned investment indicators within the framework of the national program «Digital Economy of the Russian Federation» and the adequacy of investments in the digitalization of the economy to form positive dynamics of Russia's GDP. The hypothesis is tested about the presence of influence, along with the indicators of the functioning of traditional sectors of the economy, of indicators of digital sectors of the economy and indicators of investments in digital transformation in Russia. The methodology for such calculation is based on the theory of elasticity, which can be used to analyze the efficiency of resources (investments) in the case of alleged underfunding of a certain economic entity, that took place in the case of the specified program. This technique involves the construction of a Cobb-Douglas production function. The data of Russian statistical compilations in the regional context for the period from 2015 to 2018 were used as an information base for calculating and constructing a production function. Within the adopted specification of the cross-sectional regression model, the parameters of the production function were determined for each year within the specified period. Also, the predicted values ​​of the indicators of the used information base for 2019 and 2020 were determined using the linear regression method, and, proceeding from them, parameters of the production function were determined. Due to the incompatibility of data on the indicator of internal costs for the development of the digital economy in the program «Digital Economy of the Russian Federation» and the statistical indicator of the cost of information and communication technologies, it was necessary to calculate the ratio between these indicators. The solution to this problem showed that these indicators are in good agreement with each other with a difference of only a few percent. The final result of the study is an assessment of GDP losses while maintaining the dynamics of digitalization costs observed in 2015-2018, suggesting continuation of the trend towards the Digital Economy of the Russian Federation program being underfunded in 2019 and 2020.

scholarly journals STRENGTHENING THE SOIL FOUNDATIONS BY THE METHOD OF INJECTION OF SILICATION

2019 ◽  
Vol 7 (1) ◽  
pp. 5-9
Author(s):  
Антон Михайлов ◽  
Anton Mikhailov ◽  
Елена Евлахова ◽  
Elena Evlahova ◽  
Анастасия Иванова ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Russian Federation ◽  
Minimum Amount ◽  
Weak Soil ◽  
Rostov Region ◽  
The Russian Federation ◽  
High Degree

Currently, in the Rostov region, as in Russia as a whole, there are problems associated with the consolidation of weak soil bases. To date, the most effective method of fixing is injection silicate. This technique can significantly reduce the subsidence of the base and prevent various deformations of the building. Injection silicatization is widely used both in the Russian Federation and in foreign practice due to the technical efficiency, high degree of reliability and minimum amount of excavation.

scholarly journals Comparative Analysis of Regional Innovative Development Indexes in the Space of Expert-Defined Characteristics of Regional Differentiation

2021 ◽  
Vol 93 ◽  
pp. 05002
Author(s):  
Maria Lysenkova ◽  
Mikhail Afanasiev
Keyword(s):  
Project Management ◽  
Comparative Analysis ◽  
Technical Efficiency ◽  
Russian Federation ◽  
Regional Differentiation ◽  
Control Problems ◽  
Innovative Development ◽  
Management Problems ◽  
The Russian Federation

The purpose of the study is to compare the indexes of innovative development of regions and identify indexes that do not have significant differences. In this article, we used an approach that allows comparing an arbitrary set of indexes of innovative development of the Russian Federation regions in the space of differentiation characteristics used in solving project management problems. Eight indexes are compared: four author's indexes constructed using estimates of the technical efficiency of interaction between science and business in the region and four published indexes with a similar applied focus. Comparative analysis of indices is carried out in the space of expert-defined characteristics of regional differentiation. An approach has been tested to identify indexes that are not distinguishable when solving control problems parameterized using differentiation characteristics.

scholarly journals Regional innovation systems efficiency analyses and evaluation: DEA approach implementation

2021 ◽  
Vol 295 ◽  
pp. 01051
Author(s):  
Irina Dzyubenko
Keyword(s):  
Comparative Analysis ◽  
Technical Efficiency ◽  
Russian Federation ◽  
Innovation Systems ◽  
Necessary Condition ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Federal Districts ◽  
The Russian Federation ◽  
Using Data

The innovative transformation is a necessary condition for sustainable economic development. The study reveals an assessment and comparative analysis of the Regional Innovation Systems’ (RIS) performance in the Russian Federation using Data Envelopment Analysis (DEA). The DEA model under the Variable Return to Scale (VRS) assumption, focused on output parameters, is used to estimate the relative technical efficiency of regions based on several input and output parameters. Based on the obtained results, a rating of regions was compiled: four groups of regions were identified depending on their technical efficiency level. It was revealed that the leading regions by innovative development level are assessed by the DEA somewhat differently. A comparative analysis of the innovation systems performance at the regional and federal levels allowed us to identify the most and least effective subjects of the Russian Federation, federal districts and economic regions. The main conclusion is that less than a third of the Russian regions use their production capabilities as efficient as possible, the remaining regions can significantly improve the way they use the available resources. The results of the study might be used in making managerial decisions at the country, federal districts and regions levels in order to develop measures and mechanisms for improving the efficiency of regional innovation systems.

Sign in / Sign up

Export Citation Format

Share Document