Socio – Economic Role of Service – Sector Small Business in Sustainable Development of the Russian Economy

Rudenko, Lyudmila G.; Зайцева, Наталья Владимировна; Larionova, Аnna A.; Chudnovskiy, Alex D.; Vinogradova, Marina V.

doi:10.35808/ersj/468

Cited by 10 publications

(6 citation statements)

References 3 publications

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“…Capital investments in FA of all industries are the purchase of machinery, equipment, buildings, structures, etc. Thus, the output of sectors 28 and 41 together constitutes the total volume of investments that can be invested in different sectors: (5) where X i -the volume of output in the -th industry;…”

Section: Mathematical and Algorithmic Basis For Building A Simulation Model Of The Industries' Developmentmentioning

confidence: 99%

“…Therefore, the task of finding new ways, methods and tools to ensure and support the sustainable development of heavy industry sectors is most relevant. In modern Russian and foreign studies, both classical economic [2,3] and new interdisciplinary approaches [4,5] are used to deal with these tasks. However, it is almost impossible to develop such tools without using modern mathematical tools and computing systems.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of development of individual heavy industry sectors

Kislitsyn¹,

Gorodnichev²

2021

Bus. Inform.

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Nowadays, in the context of the coronavirus crisis, the issue of ensuring the sustainable development of heavy industries is acute. However, theoretical and analytical researches alone are not sufficient for this, and economic science needs to develop fundamentally new approaches to the study of the development of industrial sectors. This article is devoted to the creation and testing of a simulation model for the development of individual sectors of the economy. The object of research is the metallurgical industry, as well as related ore mining, mechanical engineering and production of finished metal products. The theoretical basis of the research is a systematic approach that combines the theory of industry markets, economic growth, industrial economics, system dynamics and mathematical economics. The main research methods used are system analysis, statistical analysis to identify trends in changes in the main economic indicators, econometric modeling to build production functions, as well as mathematical modeling of macroeconomic systems. As a result, a simulation model developed in system dynamics notation is proposed, which makes it possible to evaluate the development of individual industries taking into account various changes. This model is built on the basis of the three-sector model of the national economy, where separate adjacent industries connected by dynamic feedback loops are identified as structural elements. The paper details the structure of the simulation model based on first-order dynamic equations, balance equations and nonlinear production functions. The simulation model allowed us to predict a number of scenarios for the development of metallurgical industries, taking into account changes in the labor force and investment in fixed assets. The results of the work can be used for forming proposals on industrial policy, monitoring the condition and efficiency of individual industries.

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Section: Mathematical and Algorithmic Basis For Building A Simulation Model Of The Industries' Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation of development of individual heavy industry sectors

Kislitsyn¹,

Gorodnichev²

2021

Bus. Inform.

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“…Small businesses are different from their larger counterparts with respect to agility, risk, and financing (Berger and Udell 1998). They tend to adapt quickly to a society's changing needs in a competitive business environment (Rudenko et al 2015). However, they face a higher level of survival risk.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Modeling of Small Business Recovery after a Hurricane: A Case Study of 2017 Hurricane Harvey

et al. 2023

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Economic resilience defines a community's ability to prevent, withstand, and quickly recover from major disruptions to its economic base. Instead of having repeated damage and need for outside assistance, resilient communities proactively protect themselves against hazards, build self-sufficiency, and become more sustainable over the long term. Within these communities, small businesses are an important driver of economic growth and employment. However, small businesses are extremely vulnerable to natural disasters: about 40-60 percent of them never reopen their doors after a disaster. To gain an insight into the vulnerability and resilience of small businesses, we collected firm-level data through an online survey of primary decision-makers of small businesses located in 2017 Hurricane Harvey impacted counties. The questions in the survey covered five broad categories: general business characteristics; finance impact; operation impact; built environment impact; and mitigation actions. The analysis shows a small variation in recovery time between industry groups. However, the contrast between firms that invested in resilience and firms that did not is significant. We then modeled the small business recovery as a stochastic process and used the survey data to select probability models and then estimate model parameters. If firms chose to invest in resilience, the mean and median times could be reduced by 57% and 8.5%, respectively. Using the baseline provided, a firm could estimate the length of recovery expected and prepare a business continuity plan accordingly. In a hurricane's aftermath, their performance can be benchmarked against that of their peers. The findings would serve as basis for public policies towards incentivizing prestorm mitigation and resiliencebuilding actions.

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“…Introduction of technologies related to the global Internet network in the educational process is becoming increasingly important at present (Galushkin, 2015;Kalugina & Tarasevich, 2018;Rudenko et al, 2015;Petrovskaya et al, 2016;Vasbieva et al, 2018). These technologies are believed to enhance educational results; and such technologies as educational websites help master learning material without gaps.…”

Section: Introductionmentioning

confidence: 99%

Features and Advantages of Using Websites in Teaching Mathematics (Interactive Educational Platform UCHI.ru)

Sabirova

Fedorova

Sandalova

2019

EURASIA J MATH SCI T

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The number of electronic educational resources is multiplying day by day. Though such resources can be used in teaching children, teachers are not aware of their effectiveness thus far. So as to include websites in educational process purposefully and methodologically profoundly, it is important for the teacher to have cognizance of educational tasks that can be solved with the help of electronic resources, methodological functions they perform, and types of training activities they support and initiate. The paper is aimed to reveal the effectiveness of the interactive educational platform UCHI.ru while teaching math to primary school students. The leading methods applied in the research are as follows: testing, observation and analysis of educational process aimed to teach Mathematics to children aged between eight and nine through the use of UCHI.ru interactive educational platform to specify the dynamics of mathematical skills development in primary school students. The paper proves the validity of primary school students' mathematical training using UCHI.ru interactive educational platform; reveals features in teaching Mathematics to children aged 8-9 with the use of an educational website; identifies possible problem areas in teaching Mathematics using UCHI.ru interactive educational platform. UCHI.ru interactive educational platform, proposed in the paper, improves learners' motivation, facilitates their search competence formation and identifies gaps in basic knowledge of "Mathematics" as a subject for each student in class. UCHI.ru interactive educational platform can be employed by primary school teachers as supplementary didactic material.

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Socio – Economic Role of Service – Sector Small Business in Sustainable Development of the Russian Economy

Cited by 10 publications

References 3 publications

Simulation of development of individual heavy industry sectors

Simulation of development of individual heavy industry sectors

Probabilistic Modeling of Small Business Recovery after a Hurricane: A Case Study of 2017 Hurricane Harvey

Features and Advantages of Using Websites in Teaching Mathematics (Interactive Educational Platform UCHI.ru)

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