1,742 research outputs found
A Stochastic Frontier Model of a Scientistβs Production Potential
The comparative analysis of the stochastic frontier models is carried out. The model of the production potential of publications volume in dynamics and the one where a scientistβs experience has been taken into account are built. Estimates of the technical production efficiency of a scientist are obtained. The definition of the production potential model is made more preciseproduction potential; stochastic frontier; production function; technical efficiency
A Model of the Production Potential with Managed Factors of Inefficiency
The results of applied research on estimation of the production potential based on the methodology of the stochastic frontier production function are presented in the paper. The comparative analysis of the stochastic frontier models by means of estimates of technical production efficiency is carried out. A definition and a model of the production potential with managed factors of inefficiency are proposed.production potential; stochastic frontier; production function; technical efficiency
Estimation of Measures Directed at Management of Factors of Production Inefficiency
In development of the stochastic frontier methodology we introduce a concept of achievable production potential generalizing that of the frontier production potential. A model of frontier production potential was built taking in account possibilities of management of factors of inefficiency and the related costs. An estimate of the conditional technical efficiency of production relative to the production potential was obtained. A formal description of measures, directed at management of factors of production inefficiency, and methods of estimation of their technical and economic efficiency are offered. Finally, we present the results of experimental calculations are givenproduction potential; stochastic frontier; production function; technical efficiency; achievable production potential
Estimation of the Economic Efficiency of a Shift to the Achievable Production Potential
Developing a concept of stochastic frontier we estimate the expected increase in the production volume achieved as a result of a shift to the achievable production potential. The expected economic effect of an activity of raising production efficiency is forecast. The distribution of the economic effect allowing analyzing risks related to an activity realization is givenProduction potential; stochastic frontier; production function; technical efficiency; achievable production potential
Economic Efficiency Estimation of Banksβ Activities Directed at Loans Products Advertisement
A method and results of economic efficiency estimation of advertisement activities carried out by a commercial bank are described. The main consideration is given to auto loans. The purpose of these activities is to increase consumer loans volumes. The resulted credit volumes are also estimated. The estimation method is based on the stochastic frontier methodology formulated in our previous work [Aivazian, Afanasiev (2009)]Stochastic frontier; Estimation of the economic efficiency; Advertising; Banks; Volume of crediting; Monte Carlo-modeling
Β«ΠΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΡ Π½Π°ΡΡ Π²ΠΈΠ²Π»ΠΈΠΎΡΠΈΠΊΡ Π² ΡΠΎΡ ΡΠ°Π½Π΅Π½ΠΈΠ΅ ΠΏΠ΅ΡΠ΅Π΄Π°Π΅ΠΌβ¦Β»: ΠΌΠ°Π»ΠΎΠΈΠ·Π²Π΅ΡΡΠ½ΡΠΉ ΡΠ°ΠΊΡ ΠΈΡΡΠΎΡΠΈΠΈ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΡΠ½ΠΎΠ³ΠΎ Π΄Π΅Π»Π°
This paper describes the first Russian attempt to build a library under higher educational institution - the Academy, undertaken in the early 80s of the 17th century by Simeon Polotsky and Sylvester Medvedev. The author examines the use of them the term βlibraryβ and clarifies the circumstances of the events specified in its importance as a precursor to Peter's reforms.ΠΠΏΠΈΡΡΠ²Π°Π΅ΡΡΡ ΠΏΠ΅ΡΠ²Π°Ρ Π² ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΠΈΡΡΠΎΡΠΈΠΈ ΠΏΠΎΠΏΡΡΠΊΠ° ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ ΠΏΡΠΈ Π²ΡΡΡΠ΅ΠΌ ΡΡΠ΅Π±Π½ΠΎΠΌ Π·Π°Π²Π΅Π΄Π΅Π½ΠΈΠΈ - ΠΠΊΠ°Π΄Π΅ΠΌΠΈΠΈ, ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΡΡΠ°Ρ Π² Π½Π°ΡΠ°Π»Π΅ 80-Ρ
Π³ΠΎΠ΄ΠΎΠ² XVII Π². Π‘ΠΈΠΌΠ΅ΠΎΠ½ΠΎΠΌ ΠΠΎΠ»ΠΎΡΠΊΠΈΠΌ ΠΈ Π‘ΠΈΠ»ΡΠ²Π΅ΡΡΡΠΎΠΌ ΠΠ΅Π΄Π²Π΅Π΄Π΅Π²ΡΠΌ. ΠΠ½Π°Π»ΠΈΠ·ΠΈΡΡΠ΅ΡΡΡ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡ ΡΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡ ΠΈΠΌΠΈ ΡΠ΅ΡΠΌΠΈΠ½Π° Β«Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°Β», Π²ΡΡΡΠ½ΡΡΡΡΡ ΠΎΠ±ΡΡΠΎΡΡΠ΅Π»ΡΡΡΠ²Π° ΡΠΎΠ±ΡΡΠΈΡ, ΡΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ Π½Π° Π΅Π³ΠΎ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΠΊ ΠΏΡΠ΅Π΄Π²Π΅ΡΡΠ½ΠΈΠΊΠ° ΠΠ΅ΡΡΠΎΠ²ΡΠΊΠΈΡ
ΡΠ΅ΡΠΎΡΠΌ
Metabolite Multiprobiotic Formulas for Microbial Health
On example of Lactobacillus and Bifidobacterium strains, approaches in creation of human multistrain probiotic metabolite mixtures for different goals were proposed. Human probiotic lectin systems (LS) (mucosal, others) reveal functions needed for organism. Advanced features of such systems include capability to recognize synthetic polymeric polyvalent glycoconjugates (GC)βimitators of natural ones (modified polysaccharides, glycoantigens of medical significance). Probiotic lectin systems function as imitators of multipro-/sym-/synbiotics in their resulting actions. They serve as carriers of the biotope glycoconjugate dΓ©cor including glycoprebiotics, glycometabiotics, glycodrugs, and agents supporting dΓ©cor organization and resistance. Probiotic lectin systems represent new perspective system agents to improve the health of mucosal microbiocenoses (MB) organized as communicative bodies to be corrected according to the principle βthere is bodyβthere are diseases.β They act as metabolomebiotics according to the principle βthe network in the network.β They deepen biotope resistance allowing quicker return to balance. They support prophylactic and therapeutic procedures directed to prolong aging and improve quality of life. Multistrain metabolite constructions can predict perspective cellular formulas of multipro-/synbiotics for prophylaxis, supporting and accompanying therapy. Approaches developed are universal. They are useful in the study of any Gram-positive and eukaryotic (yeasts and yeast-like fungi) mono- and mixed cultures. The methodological principles proposed and described are of value for extended fields of clinical microbiology and medical bio-/nanotechnology
The production factors efficiency estimation of the
The results of use of stochastic frontier methodology for the analysis of the intellectual capital and other major manufacture factors influence on the quantity indicators, the competitiveness of the company characterizing, are described
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