scholarly journals Assessing the Impact of Regional Budget Expenditures on Average Wages

2020 ◽  
Vol 16 (1) ◽  
pp. 61-69
Author(s):  
Denis M. Zhuravlyov
Keyword(s):  
Mathematical Model ◽  
Economic System ◽  
Labour Market ◽  
Model Performance ◽  
Practical Interest ◽  
Qualitative Assessment ◽  
Average Wage ◽  
Software Application ◽  
Regional Budget ◽  
The Impact

The author discusses the development of an economic-mathematical model for assessing the impact of regional budget expenditures on the average wage for solving the problems of analyzing macroeconomic indicators and forming strategic planning tools for the development of the regional socioeconomic system. The Object of the Study - expenses of the regional budget of the constituent entity of the Rossiyskaya Federatsiya, aimed at developing and maintaining the infrastructure contributing to the provision of comfortable working conditions for citizens. The Subject of the Study - methods of economic and mathematical modelling, processes of formation of the average wage. The Purpose of the Study. Development of an economic and mathematical model for assessing the impact of regional budget expenditures on the average wage level for quantitative and qualitative assessment of the effectiveness of the totality of measures arising in the process of its implementation. The Main Provisions of the Article. The labour market is the basis of a market economy and indicator, the importance of which makes it possible to draw conclusions both about the state of the economy as a whole and about the success of the reforms and transformations, in particular. His condition directly affects the performance indicators of the socio-economic system of the region: productivity, profitability, growth, etc. Research and identification of factors that have a significant impact on the processes of formation and functioning of the labor market is of not only theoretical, but practical interest. The following tasks have been solved: the economic and mathematical models are formalized; the layout of the indices characterizing the object of study; the corresponding mathematical apparatus is selected; software application developed; the proof of model performance is performed. As a methodological apparatus, methods of regression and correlation analysis were used. As a result, an economic-mathematical model of the category «labour market efficiency» was obtained, the functionality of which is sufficient to substantiate causal relationships between indicators that determine the nature of its functioning. Using the obtained results in practice, it is possible to reasonably form a system of priority long-term guidelines for the development of the socio-economic system of the region, drawn up in the form of relevant program documents. The developed software can be used as a module of a decision support system in the formation and development of a strategy for the region’s accelerated development.

scholarly journals THE IMPACT OF THE MINIMUM WAGE ON THE REPRODUCTION OF THE LABOUR FORCE IN THE RUSSIAN LABOUR MARKET

2020 ◽  
Vol 2 (32(59)) ◽  
pp. 34-38
Author(s):  
K. Sergey
Keyword(s):  
Labour Market ◽  
Minimum Wage ◽  
Imperfect Competition ◽  
Labour Force ◽  
Regulatory Mechanisms ◽  
Living Wage ◽  
Average Wage ◽  
Subsistence Minimum ◽  
Reproductive Processes ◽  
The Impact

The application of regulatory mechanisms such as the minimum wage and the subsistence minimum for the reproduction of the labour force requires special attention from the State. The Russian labour market traditionally has a significant superiority of the average wage level over the living wage and above the minimum wage, which makes these mechanisms not effective in regulating reproductive processes. The existing gap between the average wage and the minimum wage causes imperfect competition in the Russian labour market. This necessitates a review of approaches to the minimum wage and living wage in order to extend these government regulatory mechanisms to labour reproduction processes.

scholarly journals The impact of currency risk on international outsourcing

2021 ◽  
Vol 9 (2) ◽  
pp. 51-55
Author(s):  
Sergey Komarov
Keyword(s):  
Economic System ◽  
Theoretical Basis ◽  
Production Cost ◽  
Graphical Analysis ◽  
Qualitative Assessment ◽  
Management Approach ◽  
Economic Systems ◽  
Currency Risk ◽  
International Outsourcing ◽  
The Impact

The paper considers the impact of currency risk on economic systems based on international outsourcing. The theoretical basis for constructing a model of the economic system based on international outsourcing, as well as economic speculative currency risk, is presented. The authors propose and describe a model of the impact of currency risk on economic systems based on international outsourcing. Mathematical modeling, as well as mathematical and graphical analysis of indicators characterizing the impact of currency risk are carried out. The results reflecting the impact of currency risk on a particular participant of the economic system, as well as on the system as a whole, under various particular conditions, are presented. The authors point out that currency risk in economic systems based on international outsourcing is expressed, not only explicitly, but also covertly through changes in the volume of production, cost and price of final value. Based on the modeling, general and specific criteria for the qualitative assessment of currency risk in international outsourcing are proposed. The results of the study can be used by organizations that are part of economic systems based on international outsourcing, regardless of the management approach and the mechanism for forming an economic system based on international outsourcing.

PERTANGGUNGJAWABAN KERUGIAN NEGARA DALAM PENGELOLAAN KEUANGAN DAERAH

EDUKASI ◽  
2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Hendra Karianga
Keyword(s):  
Financial Management ◽  
Criminal Liability ◽  
The State ◽  
Legal Proceedings ◽  
Regional Finance ◽  
Regional Budget ◽  
State Finance ◽  
Budget Policy ◽  
Definition Of ◽  
The Impact

Sources of revenue and expenditure of APBD (regional budget) can be allocated to finance the compulsory affairs and optional affairs in the form of programs and activities related to the improvement of public services, job creation, poverty alleviation, improvement of environmental quality, and regional economic growth. The implications of these policies is the need for funds to finance the implementation of the functions, that have become regional authority, is also increasing. In practice, regional financial management still poses a complicated issue because the regional head are reluctant to release pro-people regional budget policy, even implication of regional autonomy is likely to give birth to little kings in region causing losses to state finance and most end up in legal proceedings. This paper discusses the loss of state finance and forms of liability for losses to the state finance. The result of the study can be concluded firstly,  there are still many differences in giving meaning and definition of the loss of state finace and no standard definition of state losses, can cause difficulties. The difficulty there is in an effort to determine the amount of the state finance losses. The calculation of state/regions losses that occur today is simply assessing the suitability of the size of the budget and expenditure without considering profits earned by the community and the impact of the use of budget to the community. Secondly, the liability for losses to the state finance is the fulfillment of the consequences for a person to give or to do something in the regional financial management by giving birth to three forms of liability, namely the Criminal liability, Civil liability, and Administrative liability.Keywords: state finance losses, liability, regional finance.

The Impact of Light Polarisation on Light Field of Scenes with Multiple Reflections

2020 ◽  
pp. 108-115 ◽  
Author(s):  
Vladimir P. Budak ◽  
Anton V. Grimaylo
Keyword(s):  
Mathematical Model ◽  
Light Field ◽  
Global Illumination ◽  
Multiple Reflections ◽  
Software Environment ◽  
The Monte Carlo Method ◽  
Mueller Matrices ◽  
Volume Integration ◽  
The Impact

The article describes the role of polarisation in calculation of multiple reflections. A mathematical model of multiple reflections based on the Stokes vector for beam description and Mueller matrices for description of surface properties is presented. On the basis of this model, the global illumination equation is generalised for the polarisation case and is resolved into volume integration. This allows us to obtain an expression for the Monte Carlo method local estimates and to use them for evaluation of light distribution in the scene with consideration of polarisation. The obtained mathematical model was implemented in the software environment using the example of a scene with its surfaces having both diffuse and regular components of reflection. The results presented in the article show that the calculation difference may reach 30 % when polarisation is taken into consideration as compared to standard modelling.

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.

Designing Risk Qualitative Assessment on Fiber Optic Instalation Project in Indonesia

2018 ◽  
Vol 2 (01) ◽  
Author(s):  
Devi Pratami
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Fiber Optic ◽  
Qualitative Assessment ◽  
Quality And Safety ◽  
Project Implementation ◽  
Cost Impact ◽  
Implementation Assessment ◽  
The Impact ◽  
Impact Cost

A project always has risks that can lead to project failure. In the project, a risk analysis is required to provide an evaluation for the project to proceed as planned. In the event of inadequate planning and ineffective control, it will result in irregularities identified as a risk to the project. This study aims to analyze the qualitative risk on Fiber Optic Installaion project in Sukabumi, West Java, Indonesia. In addition, risk assessment is undertaken on project implementation. Assessment of risk using the impact and probability to measure the impact of risk occurrence. The impacts are more detailed by classified by time impact, cost impact, quality impact, safety and security impact, proximity. The result is there are 36 risk that may occur and mostly risks are associaated by quality and safety&security impact.

The Role of Migration in the Formation of Regional Labour Markets Amidst the Second Wave of Depopulation in Modern Russia

2020 ◽  
Vol 27 (6) ◽  
pp. 26-36
Author(s):  
A. V. Topilin ◽  
A. S. Maksimova
Keyword(s):  
Labour Market ◽  
Oil And Gas ◽  
Labour Markets ◽  
Labour Migration ◽  
Sample Surveys ◽  
Balance Sheets ◽  
Permanent Migration ◽  
Regional Labour Markets ◽  
The Impact

The article reflects the results of a study of the impact of migration on regional labour markets amidst a decline in the working-age population in Russia. After substantiating the relevance of the issues under consideration, the authors propose a methodological analysis toolkit, the author’s own methodology for calculating the coefficients of permanent long-term external and internal labour migration in regional labour markets, and the coefficient of total migration burden. In addition, the authors provide an overview of the information and statistical base of the study. According to current migration records, data of Rosstat sample surveys on Russian labour migrants leaving for employment in other regions, regional labour resources balance sheets based on the calculated coefficients of labour market pressures, the authors analyzed the impact of migration on the Russian regional labour markets over the past decade. It revealed an increasing role of internal labour migration in many regions, primarily in the largest economic agglomerations and oil and gas territories. At the same time, the role of external labour migration remains stable and minimum indicators of the contribution of permanent migration to the formation of regional labour markets continue to decrease. It has been established that irrational counter flows of external and internal labour migration have developed, which indicates not only an imbalance in labour demand and supply but also a discrepancy between the qualitative composition of migrants and the needs of the economy. It is concluded that the state does not effectively regulate certain types of migration, considering its impact on the labour market. The authors justified the need for conducting regular household sample surveys according to specific programs to collect information about labour migrants and the conditions for using their labour. In addition to the current migration records, using interregional analysis, this information allows making more informed decisions at the federal and regional levels to correct the negative situation that has developed in the regional labour markets even before the coronavirus pandemic had struck.

Analyzing the Impact of Healthy Behavior on Weight Change with a Provable Mathematical Model (Preprint)

2020 ◽  
Author(s):  
Ayan Chatterjee ◽  
Ram Bajpai ◽  
Pankaj Khatiwada
Keyword(s):  
Physical Activity ◽  
Mathematical Model ◽  
Health Behavior ◽  
Weight Change ◽  
Simulated Data ◽  
Negative Behavior ◽  
Healthy Behavior ◽  
Healthy Habits ◽  
Lifestyle Diseases ◽  
The Impact

BACKGROUND Lifestyle diseases are the primary cause of death worldwide. The gradual growth of negative behavior in humans due to physical inactivity, unhealthy habit, and improper nutrition expedites lifestyle diseases. In this study, we develop a mathematical model to analyze the impact of regular physical activity, healthy habits, and a proper diet on weight change, targeting obesity as a case study. Followed by, we design an algorithm for the verification of the proposed mathematical model with simulated data of artificial participants. OBJECTIVE This study intends to analyze the effect of healthy behavior (physical activity, healthy habits, and proper dietary pattern) on weight change with a proposed mathematical model and its verification with an algorithm where personalized habits are designed to change dynamically based on the rule. METHODS We developed a weight-change mathematical model as a function of activity, habit, and nutrition with the first law of thermodynamics, basal metabolic rate (BMR), total daily energy expenditure (TDEE), and body-mass-index (BMI) to establish a relationship between health behavior and weight change. Followed by, we verified the model with simulated data. RESULTS The proposed provable mathematical model showed a strong relationship between health behavior and weight change. We verified the mathematical model with the proposed algorithm using simulated data following the necessary constraints. The adoption of BMR and TDEE calculation following Harris-Benedict’s equation has increased the model's accuracy under defined settings. CONCLUSIONS This study helped us understand the impact of healthy behavior on obesity and overweight with numeric implications and the importance of adopting a healthy lifestyle abstaining from negative behavior change.

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