scholarly journals ANALYSIS OF THE APPLICATION OF THE TECHNOLOGICAL SCHEME OF PERFORMANCE OF WORKS ON THE STATE CADASTRAL ESTIMATION OF HOMES OF HUMAN SETTLEMENTS IN THE TOMSK REGION

2019 ◽  
Vol 3 (2) ◽  
pp. 90-98
Author(s):  
Tatyana Kadetova

This article presents an analysis of the application of the technological scheme of work on the state cadastral valuation of land settlements in the Tomsk region. The purpose of the study - an analysis of the application of the technological scheme of work performed on the state cadastral valuation of land settlements of the Tomsk region. In this paper, we studied the results of the cadastral assessment for the Tomsk region in 2014 and identified the main shortcomings of the existing methodology, in terms of the use of the mathematical apparatus in the process of analyzing pricing factors and their selection. Proposals for finalizing the new methodology for cadastral valuation in terms of the use of correlation and regression analysis were made to improve the efficiency and accuracy of the calculation of the cadastral value of real estate objects.

Author(s):  
VLADISLAV YU. SUTYAGIN ◽  
◽  
YANA YU. RADYUKOVA ◽  
VALENTINA V. SMAGINA ◽  
◽  
...  

The 2014 changes in the Tax Code expanded the institute of cadastral valuation from land to capital construction facilities. But this also gave rise to a new wave of questions about the reliability of the cadastral assessment. One of the stumbling blocks was the accounting (exclusion) of land from the cost of the capital construction facility. This article is devoted to methodological substantiation of estimation and accounting of land value in a single real estate object in conditions of lack of initial information. In the article, the authors consider the share of the land plot in the value of a single real estate object as a result of various pricing factors. As a methodological basis for calculating the share of land in a single real estate object, the regression analysis method was used. The results of the present study can be used in cadastral valuation practices as well as market assessments (including forensic examinations) prepared to challenge the results of cadastral valuation. In addition, the authors made a number of proposals for the direction of further improvement of the proposed approach.


2021 ◽  
Vol 5 (520) ◽  
pp. 169-174
Author(s):  
O. V. Nechyporuk ◽  

The article is aimed at studying the investment attractiveness of types of economic activity in the regions of Ukraine, determining the impact of factor values (of types of economic activity) on the volume of products sold. As a result of the study, a methodical approach to the analysis and determination of investment attractiveness of types of economic activity in the regions of Ukraine is developed; the influence of factor values (of types of economic activity) on the volume of products sold is determined, the main ones are distinguished by means of correlation analysis and the significance of the selected factors of influence is checked using regression analysis. For the analysis, data was formed on the basis of official data of the State Statistics Service of Ukraine and the Ministry of Economy of Ukraine. To obtain more accurate summary results, the data was normalized in order to convert the values of signs in the input vector to a certain specified range. After the normalization, summary data for correlation and regression analysis were computed. On the basis of the carried out analysis, the economic-mathematical models of influence of investment instruments of the State budget on types of economic activity and a model of influence of investment instruments of foreign direct investment on types of economic activity in the regions of Ukraine were built. The investment attractiveness of certain regions for public investment and for foreign investments is substantiated. Prospects for further research in this direction are the analysis of the impact of other factors on the investment attractiveness of a particular region and Ukraine in general.


2013 ◽  
Vol 4 (10) ◽  
pp. 478-487 ◽  
Author(s):  
Norafni Farlina Rahim ◽  
Syahidawati Shahwan .

Halal has become the lifestyle of Muslim consumers in the world. As the Muslim populations increasing throughout the world, the awareness on consuming Halal also goes in the same parallel trend. In Malaysia, Halal food certification and management are given a lot of attention by the consumers, producers and regulators. However, Halal is not only covering only food consumption but also for nonfood products such as cosmetics, toiletries, pharmaceuticals, leather products, perfume and fragrances, brushes and so on. The services such as banking, entertainment, tourism, and logistic also related to Halal requirements. Thus, this research paper aims to investigate the awareness and perception of Muslim consumers on non-food Halal products and to identify the factors that influence the awareness and perception of consumers to the non-food Halal products. Moreover, this research also aims to confirm whether the identified variables have the strong influence to the level of awareness and perception of Muslim consumers on non-food Halal product. The samples of the research consisted of 236 government servants in the state of Selangor. The data are collected through questionnaire and analysed using the descriptive statistics, factor analysis and multiple regression. The results of the study revealed that the factors derived from factor analysis are: Halal information (X 1), Availability (X2), Halal on media (X3) and Halal programmes(X4). Based on correlation and regression analysis, it is predicted that all factors are significant except for Halal programmes (X4). This study implicates that Halal-related programmes by related organisations in Halal industry is still lacking in promoting the Halal awareness and perception on non-food products.


Author(s):  
В.А. Чирков

В научной статье рассмотрена тематика преступности против собственности, имеющая ярко выраженную региональную специфику [2, с. 152] на предмет её статистического анализа, выявления факторов, её определяющих. Разнообразие данного рода преступлений требует комплексного анализа и исследования с целью выработки способов по профилактике и борьбе с ними. Эта преступность крайне общественно опасна для граждан, организаций и для государства в целом, так как причиняет значительный материальный ущерб. Актуальность исследования заключается в том, что влияния каждого отдельного фактора на размер материального ущерба определяется необходимостью исследования состояния экономической безопасности Российской Федерации при том, что единицами статистического наблюдения выступают именно регионы. [8, с. 117-123]. Особая значимость в исследовании придается такому показателю как размер материального ущерба по преступлениям против собственности в Российской Федерации. Для выявления связей между показателями были применены различные методы статистического анализа, имеющие значимую роль в научно-обоснованном выводе о состоянии экономической безопасности страны. В процессе исследования применялись следующие научные методы: одномерная, по наиболее значимому показателю, и многомерная группировки, метод корреляционно-регрессионного анализа, метод аналитического выравнивания, метод кластерного анализа. В ходе исследования было установлено влияние и взаимосвязь социально-экономических показателей между собой при помощи корреляционно-регрессионного анализа. Применены методы экстраполяции, с помощью которых были смоделированы прогнозные значения показателей на 2020 г. Ключевым аспектом статистического исследования в данной статье является то, что в процессе анализа взаимосвязи между показателями было выявлено, как размер материального ущерба по преступлениям против собственности, в ближайшей перспективе будет возрастать. Поэтому необходимо усиление внимания к изучению данной проблемы для выработки более действенных способов профилактики и борьбы с экономическими преступлениями. The scientific article considers the subject of crime against property, which has a pronounced regional specificity [2, p. 152] for its statistical analysis, identification of factors that determine it. The diversity of this type of crime requires a comprehensive analysis and research in order to develop ways to prevent and combat them. This crime is extremely socially dangerous for citizens, organizations and for the state as a whole, as it causes significant material damage. The relevance of the study is that the impact of each individual factor on the amount of material damage is determined by the need to study the state of economic security of the Russian Federation, despite the fact that the units of statistical observation are the regions. [8, pp. 117-123]. Particular importance in the study is given to such an indicator as the amount of material damage for crimes against property in the Russian Federation. To identify the links between the indicators, various methods of statistical analysis were used, which have a significant role in the scientifically based conclusion about the state of economic security of the country. In the process of research the following scientific methods were used: one-dimensional, according to the most significant indicator, and multidimensional grouping, the method of correlation and regression analysis, the method of analytical alignment, the method of cluster analysis. The study established the influence and relationship of socio-economic indicators with each other using correlation and regression analysis. Extrapolation methods were used to simulate the forecast values of indicators for 2020. The key aspect of the statistical study in this article is that in the process of analyzing the relationship between the indicators, it was revealed how the amount of material damage for crimes against property will increase in the near future. Therefore, it is necessary to increase attention to the study of this problem in order to develop more effective ways of preventing and combating economic crimes.


2021 ◽  
Vol 273 ◽  
pp. 08006
Author(s):  
Liudmila Borisova ◽  
Dina Borisova

The study presents the results obtained on the basis of the application of the instrumental-mathematical apparatus for modeling socio-economic processes and systems, including the economic integration of regions, which in further research can be the basis for developing scenarios for the development of interregional ties. The article proposes an approach based on modeling the process of interregional economic integration using the tools of correlation and regression analysis. The results of applying the methodology for aligning the time series of changes in commodity exchange in value terms using the example of the regions of the Southern Federal District made it possible to determine the parameters of the regression line and to check their significance. The presented analysis of the graphical dependences of the commodity exchange of the Rostov region with the rest of the regions characterizes the degree of development and trends of interregional economic integration.


Author(s):  
A.A SNATENKOV ◽  
◽  
M.S SAPRYKINA ◽  

Companies engaged in the production and distribution of electricity have a significant impact on the financial and economic development of the Russian Federation. In turn, the basis for the functioning of electric power companies are fixed assets, which include transmission devices, the main part of which is power transmission lines, as well as machinery and equipment, including transformer substations, RP, etc. Providing companies with the necessary amount of fixed assets, their full and effective use is one of the most important factors in the growth of the volume of electricity produced and transmitted. The key indicator that reflects the state of fixed assets of companies is the degree of their depreciation. In the article, the authors assess the dynamics of depreciation of fixed assets of companies engaged in the production and distribution of electricity. The authors formed a group of indicators-factors that can influence the state of fixed assets of companies in the field of electricity production and distribution. Through the use of multi-factor correlation and regression analysis, a significant factor has been identified that affects the state of fixed assets of companies engaged in the production and distribution of electricity. Correlation and regression analysis revealed that the degree of depreciation of fixed assets of companies in the field of production and distribution of electricity significantly affects the profitability of their sales.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olga S. Belokrylova ◽  
Kirill A. Belokrylov ◽  
Sergey S. Tsygankov ◽  
Vadim A. Syropyatov ◽  
Elena D. Streltsova

PurposeThe paper aims to present the results of a study aimed at constructing economic and mathematical models used in decision-making in the management of budget procurement of a region, contributing to the efficient use of budget funds. One of the key problems in this area is the assessment of the quality of procurementDesign/methodology/approachOne of the key problems in this area is the assessment of the quality of procurement, the solution of which requires the application of economic and mathematical methods, models, tools and algorithms built into information systems for supporting decision-making. The introduction of these systems brings to a qualitatively new level the system of relations between subjects of budget procurement. The paper analyzes modern publications on the implementation of public procurement and related issues of efficiency (savings) of budgetary funds.FindingsThe indicators on the basis of which the evaluation of the quality of regional procurement is determined are proposed. The architecture of the information system for decision support in the evaluation of procurement quality has been developed. The system has the property of adapting to changes in the state of the environment through the constant accumulation of statistical data characterizing the procurement and adjustment of the parameters of the mathematical model in accordance with them. A mathematical model is built into the control loop that allows ranking the indicators of budget purchases by the degree of their influence on the effective attribute. The role of a functional feature is the quality of budget procurement. The mathematical model is based on the application of the mathematical apparatus of correlation and regression analysis. The impact of each of the factor attributes on the functional attribute has been assessed.Originality/valueThe mathematical model is based on the application of the mathematical apparatus of correlation and regression analysis. The impact of each of the factor attributes on the functional attribute has been assessed. Real statistics are given that characterize budget procurements carried out in retrospect. The coefficients of the linear regression model are determined based on the use of the STATISTICA application software package. The proposed decision support information system with a regression model built into it allows one to make scientifically and quantitatively sound decisions when assessing the quality of budget purchases of a region.


2015 ◽  
Vol 16 (4) ◽  
pp. 345-352
Author(s):  
Audrius Dzikevičius ◽  
Lukas Kazlauskas ◽  
Šarūnas Bruzgė

Recently, real estate market has been discussed more frequently in the framework of economic analysis. The global economic crisis of 2008 has demonstrated the severity of financial shock that can be caused by inconsiderate investments in the real estate market. The present article analyses business cycles and the phenomenon of a price-bubble in that context. Drawing on the analysis of reference literature we identify the main reasons that can lead to fluctuations of prices in the real estate market. Finally, drawing on correlation and regression analysis we determine which factors have the strongest influence on the Lithuanian real estate market.


Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.


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