Statistics Service Research Articles

Уровень жизни в регионах Севера России: статистический анализ

This research focuses on the statistical analysis of the standard of living in the Russian North. The objectives of the study encompass a theoretical review of both Russian and international literature on living standards and an analysis of key indicators from the Federal State Statistics Service (Rosstat), examining income, expenses, and consumption patterns in the northern regions of Russia. The standard of living is recognized as a multifaceted social and economic category, reflecting the level of providing the population with consumer goods and services. This provision aims to shape a mix that best satisfies demands. In Russia's northern regions, this domain is influenced by distinctive factors, including challenging natural and climatic conditions, limited transportation, and the application of a regional pay system, which includes Northern benefits. The research identifies a gap in Russian studies concerning the differentiation of the standard of living by regions, particularly in lacking tools to assess rational consumption patterns. The use of the living wage proves challenging due to its monetary nature, and the utilization of a fixed market basket overlooks the necessity to consider difficult natural and climatic conditions. The scientific novelty of this study lies in terminology updates and an integrated approach to analyzing regional differentiation in the standard of living within the Russian North. The long-term implications of further research revolve around the imperative to develop a method for assessing such differentiation and to upgrade research and practical recommendations for improving living standards in the northern regions of Russia.

The Influence Of Transformational Leadership Intrinsic Motivation and Work Discipline On Employee Perfomance

The Influence Of Transformational Leadership Intrinsic Motivation and Work Discipline On Employee Perfomance

Factors Affecting Stay Decisions: Examining the Role of Facilities and Pricing as Mediating Variables

This research aims to determine the influence of facilities and prices on the decision to stay at the Radja "Art & Boutique" Hotel. The research employs a quantitative approach consisting of the variables facilities (X1), price (Z), and stay decision (Y). The sample used in this study consisted of 100 respondents who had stayed at the Radja "Art & Boutique" Hotel. Statements were provided using a questionnaire, and data analysis methods were aided by using the Statistical Product and Service Solution (SPSS) version 26 application. The variables of facilities and prices have a positive and significant influence on the decision to stay, with prices mediating the relationship between facilities and the decision to stay

The Effects of Discounts and Bonus Packs on Impulse Buying for Consumers of Ramayana Flobamora Mall Kupang

This research aims to determine the effect of discounts and bonus packs on unplanned purchasing behavior (impulse buying) among consumers of Ramayana Flobamora Mall Kupang. The type of research used in this research is a quantitative research method with an associative approach. The population in this research are consumers who have made purchases at Ramayana Flobamora Mall Kupang. The sampling technique was carried out using purposive sampling, obtaining a sample of 117 people. Data was collected using a questionnaire, then analyzed using multiple linear regression analysis with the help of Statistical Product and Service Solution (SPSS) 22.0 for Windows. Based on analysis tests on research results, the following results can be obtained: (1) discounts (X1) partially have a significant effect on impulse buying as evidenced by the t-count value of 7.409 > t-table 1.980 and the significance value of 0.000 < 0.05, (2) The bonus pack (X2) partially has no significant effect on impulse buying as evidenced by the t-count value of 1.302 < t-table 1.980 and the significance value of 0.195 > 0.05, (3) discount (X1) and bonus pack (X2) simultaneously (altogether) influence consumer impulse buying at Ramayana Flobamora Mall Kupang with an F-count value of 53.990 > F-table 3.08 and a significance value of 0.000 < 0.05.

The role of moderation family ownership control in corporate governance mechanisms for earning management in group companies in Indonesia

The purpose of this study is to examine and analyze the effect of corporate governance on earnings management with ownership control as a moderating factor. The object of this study is issuer group companies listed on the Indonesia Stock Exchange. The sampling method used was purposive sampling. The method of data analysis in this study is Statistical Product and Service Solutions (SPSS) using the SPSS Statistics 24 program. The results of this study are The Corporate Governance moderated by family control has a significant effect on earnings management. The number of families who own shares as well as occupy positions in the company reinforces the influence of management decisions on earnings management. The contribution of this study strengthens the theory and previous research.

Methodological Approach to Comprehensive Assessment of Living Standards in Russian Regions

Introduction. Improving the living standards of the population is the most important task facing public authorities. However, its solution is impossible without a clear understanding of what is meant by this definition and how this indicator should be assessed. Despite the wide representation of studies on this issue, there is actually no unified position and, consequently, no generally accepted assessment. The use of private indicators gives contradictory results. In this regard, the aim of the study is to develop a methodology for the comprehensive assessment of living standards in Russian regions. Materials and Methods. The methods of grouping, dynamic and structural analysis, correlation analysis and others were applied in the framework of the task. The information base of the study was formed by the data of the Federal State Statistics Service of Russia, as well as the works of domestic and foreign scientists in the field under consideration. The research proposed an approach to the formation of an integral assessment of the standard of living of the population of Russian regions, based on a two-stage convolution of 22 private indicators divided into five groups, taking into account the weighting coefficients. Further the methodology was tested on the data on the regions of the Russian Federation. Results. According to the results of the approbation, the ratings of regions by standard of living for 2017‒2021 were formed, which allowed us to consider its dynamics. It was revealed that, in general, the positions of leaders and outsiders remain stable; the differentiation between regions does not decrease. At the same time, while outsiders have weak positions in the overwhelming number of indicators, leadership can be due to different components of the integral indicator. Discussion and Conclusion. The obtained results can be used by the authorities responsible for the development and implementation of state policy in the field of regional development, social security and other related areas. Forecast assessments allow us to identify threats to the realization of the task of improving living standards in Russian regions.

DEVELOPMENT OF AN INTEGRATED ASSESSMENT FRAMEWORK FOR ASSESSING REGIONAL QUALITY OF LIFE FOR MONITORING THE HEALTH STATUS OF THE POPULATION OF THE SUBJECTS OF THE RUSSIAN FEDERATION

HighlightsWe have developed an integrated assessment framework for assessing regional quality of life of the population residing in the subjects of the Russian Federation in 2017-2021 that includes four indices: Social-geographical, Demographic, Economic and Industrial-environmental. The study results have confirmed the importance of the influence of regional quality of life on the health of the Russian population residing in the regions. Further assessment of the validity of the indices is needed to analyze the impact on individual health indicators and to study subjects in more depth, including within the framework of a specific nosology or nosology groups. AbstractAim. To develop an integrated assessment framework for assessing regional quality of life of the population residing in the regions of Russia, followed by an analysis of its association with mortality rates in 2017–2021.Methods. The publication “Regions of Russia. Socio-economic indicators” published by the Federal State Statistics Service for 85 subjects for the period from 2017 to 2021 was used as the source data material. Factor analysis, the principal component method, was used to identify hidden variables or factors, reduce the number of variables based on classification and determine the structure of relationships. To assess the validity of the developed indices, an analysis of their associations with mortality rates for 2017–2021 was carried out. A linear regression analysis of the effect of indices on mortality rates was carried out.Results. The analysis revealed 4 distinct indices, which included 25 indicators. With an increase in the Social-geographical Index, there is an increase in total mortality by 3.8%, mortality from infectious and parasitic diseases by 36%, neoplasms by 8.8%, diseases of the circulatory system by 5%, respiratory organs by 10.6%, digestive organs by 12.3%, external causes by 23.3%. With an increase in the Demographic Index, there is a decrease in mortality from infectious and parasitic diseases by 12.9%, an increase in total mortality by 19%, mortality from neoplasms by 16.3%, diseases of the circulatory system by 21.4%, respiratory organs by 13%, digestive organs by 19.2%. With an increase in the Economic Index, total mortality decreases by 7.8%, mortality from neoplasms by 5.6%, diseases of the circulatory system by 10%, respiratory organs by 7.8%. With an increase in the Industrial-environmental Index, there is an increase in total mortality by 3.1%, mortality from infectious and parasitic diseases by 27.2%, and neoplasms by 3.3%.Conclusion. We have identified the regional indices reflecting the current quality of life of the Russian population, the validity of which is confirmed by significant association with mortality in the regions. Further use of indices is possible for a detailed assessment of individual subjects, focusing on a specific index showing the most significant relationship with the health of the population.

Mathematical Models of Migration Balance and Migration Attitudes in Armenia

The purpose of the study is to provide a quantitative explanation of the migration balance and migration attitudes in Armenian society. A linear regression model has been constructed to explain the dependence of the migration balance on variables at the macro level, including annual GDP growth, the internal and external political state of Armenia. Data from the Armenian Statistical Service on statistics of border movements and annual GDP growth were used. The foreign policy state is represented by a variable taking the values “Truce”, “War”, and “Intense War”. The internal political state is represented by a variable taking the values “Open conflict”, “Latent conflict”, “Balanced”, “Positive expectations”, and “High expectations”. Based on the model, an estimate of the migration balance for 2023 was calculated. According to a sociological survey conducted in November 2022 using the structural modeling method (Structural Equation Modeling), two models were built that explain migration attitudes in society through the socio-economic characteristics of the respondent and characteristics of his political culture, including: the presence of a labor migrant in the family, the age of the respondent, approval of the 2018 revolution in Armenia, the realization of expectations from the revolution, a sense of political competence, political subjectivity and patriotism. The results of the study can be used to forecast the migration balance and migration attitudes in the society, as well as strategic planning and management of migration processes in Armenia.

Development of a yield monitoring model based on analysis of surveys and images of the field

The study is devoted to the construction of a mathematical model of the yield of agricultural crops, which includes three components: trend, seasonal, and random. The developed model shows the dependence of yield on phenological indicators, the quality of land resources, management efficiency, and other random factors. The trend and seasonal components of the yield model do not depend on random factors and can therefore be used to predict yield. It is proposed to consider the trend component of the model as a piecewise linear function, and the seasonal component of the model as a linear harmonic regression. A method for analyzing multispectral images with consideration of geoinformation data has been developed to assess phenological indicators. This method includes determining the threshold value using Otsu method to find the density of the agricultural crop in the field. Data on crop density, supplemented with geodata about the plot boundaries, are used to calculate the yield. A comparison of yield forecasts for three crops in the Chernihiv region was made using observations of the phenological indicators of crops throughout the year and over 3 months. It was found that yield is significantly determined by plant development in the first months after germination. The comparison of yield forecasts was made with data from the State Statistics Service of Ukraine and forecasts made using the WOFOST simulation model. It was established that the average relative error of yield prediction using the developed model is 2.96% when using observations of the phenological indicators of crops throughout the year and 4.51% when observing over 3 months. This accuracy is sufficient and comparable to the average accuracy of predictions based on the WOFOST model, which is 3.62%).

Employment of persons with disabilities: russian and foreign trends

In modern conditions, the problem of employment of disabled people is relevant. Many people with disabilities have difficulty finding a job, and the trend in the labor market remains unchanged to reduce the number of working people with disabilities. The article presents data from the Federal State Statistics Service for 2023 on the number of disabled people, their employment and ways to find work in Russia. The foreign experience in promoting the employment of citizens with disabilities has been studied. The measures of the state policy to promote employment in the territory of the Russian Federation are outlined. The problems of employment of disabled people are indicated and ways of solving them are given, including by analogy with the experience of foreign countries.

Assessment of investments in education impact on the Russian regional economic stability

The study assesses the public and private investment in education impact on the economic stability level in the Russian regions. The paper is based on the hypothesis of the key role of educational infrastructure development in the sustainable regional economy formation. The direct correlation between the population’s educational level and the dynamics of gross regional product, investment activity and territorial innovative development has been analyzed. The influence degree of investments in the highly qualified personnel training on the unemployment reduction, growth of average per capita income of citizens, knowledge-intensive economy sectors development has been assessed. The study is based on the analysis of the Federal State Statistics Service of the Russian Federation data, review of regional budgets for 2020–2022 and expert surveys among economists and educational workers. The correlation and regression analysis methods were applied to determine the relationship between the investment in education volume and regional economic stability indicators. The preliminary study results indicate a significant investment in education impact on the regional economic stability. In particular, the regions with higher investments in the educational sphere have lower unemployment rates, higher average income per capita and higher level of enterprises’ innovative activity.

Public Awareness of Common Age-Related Eye Diseases in Northern Saudi Arabia.

This population-based descriptive survey was conducted on 411 Saudi adults aged 18-70 residing in Arar City,Saudi Arabia, over six months from September 2023. Random sampling was employed, and awareness levels were assessed using a pre-designed questionnaire. Data analysis was performed using Statistical Product and Service Solutions (SPSS, version 20.0; IBM SPSS Statistics for Windows, Armonk, NY). Among the 411 participants, 225 (54.7%) were aged 18-29 years, 312 (76%) were females, and 299 (72.6%) held a bachelor's degree or diploma. Regarding awareness, 71.3% knew about cataracts, but nearly half erroneously believed it could be treated solely medically. For diabetic retinopathy (DR), 366 (89%) recognized lifestyle modifications, and 378 (92%) understood screening as preventive measures. Most participants understood prevention methods for all four diseases, but misconceptions about treatment options were observed. Awareness of glaucoma and age-related macular degeneration (ARMD) was lower. No significant age-related differences were found in awareness, except for cataracts (P = 0.001). Education significantly influenced awareness of cataracts, DR, and glaucoma (P = 0.001, 0.013, and 0.008, respectively), but not ARMD (P = 0.606). The study found that the internet is the primary source of information on AREDs for most participants, except for cataracts, where friends and relatives are prominent. The study reveals varying awareness levels of AREDs among Saudi adults. Although most participants understood preventive measures, misconceptions about treatment underscore the need for accurate education channels. Healthcare professionals must ensure information reliability to effectively combat misinformation and enhance awareness of AREDs.

Ways to optimize income tax and their impact on income budgets of the constituent entities of the Russian Federation

The relevance of the study is conditioned by the role and place of profit tax in the regional budgets revenues. Unlike other taxes, the profit tax provides for many methods of tax optimization, the use of which will reduce the tax burden on a taxpayer and at the same time reduce regional budgets tax revenues. The state recognizes and accepts tax optimization if it is based on the current tax legislation provisions. Tax optimization means a taxpayer’s activity aimed at reducing tax payments and leading to an increase in the financial result, including the use of all tax benefits, tax exemptions, and other legal advantages provided by the current legislation. The application of some optimization methods depends on a taxpayer themselves, and some other ones depend on the regional authorities, for example, investment tax deduction. The purpose of the study is to analyze the practice of profit tax optimization methods application and their impact on budget revenues and organizations income. Common research methods have been applied such as analysis and synthesis, generalization, grouping, tabular method, etc. The article is based on the official data of the Federal State Statistics Service of the Russian Federation, the Ministry of Finance of the Russian Federation, and the Federal Tax Service of the Russian Federation, which ensures the reliability of the data used in the study.

The Correlation between the Awareness of the Dangers in Smartphone Radiation and Sleep Quality among High School Students in Thailand

Despite smartphones’ critical benefits in several aspects of living in this generation, their emissions of radiation exert profound effects on the physical health of the affected individuals, including heightened risks of cancer as well as increased fibroblast activity of the skin. The aim of this study endeavors to determine the correlation between awareness of the dangers in utilizing smartphones before bed and sleep quality among high school students, to raise consciousness of the perils of smartphone radiation, and to observe sleep qualities among high school students. Through previous research, it was hypothesized that awareness of the dangers in smartphone radiation would negatively impact the sleep quality of the participants due to the negative ramifications of the radiation. To verify whether this also implies an impact on the Thai population, data were collected using a cross-sectional method with random samples of both Thai and international high school students. The information was later analyzed via Statistical Product and Service Solutions (SPSS). The results indicate a robust correlation between dangers in smartphone’s radiation and sleep quality (p = 0.451**), grade and sleep quality (p = 0.003*), and age and sleep quality (p = 0.002*). Moreover, a strong correlation between grade and sleep quality, as well as age and sleep quality, can be inferred that grade and age correlate with the amount of stress within individuals, having a negative effect on individuals’ sleep quality. Ultimately, this research not only analyzes the correlation in the findings but also aims to raise awareness of potential hazards in smartphone radiation among high school students to enhance their sleep quality.

Retrospective Analysis of Cancer Cervix at Awal Bros Batam Hospital in 2020-2022

Aims: This research aims to determine the characteristics of cervical cancer patients at Awal Bros Hospital, Batam, in 2020-2022. It also aims to create awareness of vaccination. This research used medical records from a sample of 97 people. Methodology: This research is non-experimental with a retrospective analytical descriptive design using secondary data from medical records of cervical cancer patients at Awal Bros Hospital, Batam, in 2020-2022 in August 2023. The sample in this study was selected from a population that met the inclusion and exclusion criteria, namely 97 people. The research instrument used in this study was medical records of cervical cancer patients at Awal Bros Hospital, Batam, in 2020-2022. Data was processed using the Statistical Product and Service Solution (SPSS) program with univariate tests. The analysis results will be presented as a frequency table and percentage diagram. Results: From the research results, from the entire patient sample of 97 people aged 25-65 years, it was found that the highest percentage of cancer sufferers were aged 35-50 years, 54 people (55.7%), marital status was 96 people (99%), 51 people had a history of multiparity 3-4 times (52.6%), 49 people (50.5%) had a high school education, 72 people (74.2%) worked as housewives, 52 people had complaints of bleeding (53.6%), and 70 people had a histopathological picture of squamous cell carcinoma. (72.2%), the degree of differentiation was reasonable. As many as 43 people (44.3%) Conclusion: This study concludes that cervical cancer patients at Awal Bros Batam Hospital in 2020-2022 were mainly aged 36-50 years, with marital status, married, a history of 3-4 times multiparity, had a high school education, and worked as a housewife. They had complaints of bleeding with histopathological features of squamous cell carcinoma and a good differentiation degree.

READINESS ANALYSIS OF OVO DIGITAL PAYMENT IMPLEMENTATION AT COFFEE STORE USING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) METHOD ( Study Case: Kontekstual Coffee )

Digital payments are a new technological development as financial technology (Fintech). The purpose of this study is to analyze readiness and find out influencing factors _ the level of use of OVO as a digital payment tool in the context of coffee with use TAM variable perceived usefulness (PU) , perceived ease of use (PEU), Atittude Toward Using (ATU), Behavioral Intention (BI). The analysis model of this research uses the Technology Acceptance Model (TAM). Retrieval technique sample used is technique sample convenience. While the data obtained in the form of primary data because data collection is done with method spread online questionnaire. As much 50 results questionnaire accepted and all could processed by researchers. Data analysis is carried out with use technique analysis using statistical product and service solutions (SPSS) programs. The research results obtained is PU, PEU, and ATU have positive influence to BI, as well as PU and PEU have positive influence to ATU.

Predictive Model of Restart-Up Pressure Drop after Shutdown for Heavy Oil-Water Ring Transportation Pipeline.

Aiming at the problem of restart-up for a heavy oil-water ring transportation pipeline due to instability and damage of the water ring, based on the self-developed design of a small indoor loop simulation experimental device and taking four kinds of ordinary heavy oil in the Lvda oilfield as the research object, the change trend of restart-up pressure drop with time is experimentally studied when the pipeline is restarted-up after shutdown at a constant water flow. On the basis of the regression analysis of the orthogonal restart-up experimental data of four factors (oil holdup, oil viscosity, standstill period, and water cleaning superficial velocity) and mixed levels by the statistical product and service solutions statistical analysis software, a multivariate nonlinear restart-up maximum pressure drop prediction model is established. Through analysis of the characteristics of each stage of the restart-up process, an exponential decay model of restart-up pressure drop with time is created. The research results show that the variations in restart-up pressure drop with time can be divided into two stages: the attenuation stage and the equilibrium stage. The predicted value of restart-up pressure drop with time is in good agreement with the measured one, and the goodness of fit is very close to 1. The maximum restart-up pressure drop rises along with the increase in oil holdup, oil viscosity, standstill period, and water cleaning superficial velocity. The restart-up time prolongs with the increase in oil holdup, oil viscosity, and standstill period but shortens with the increase in water cleaning superficial velocity.

United States crop conditions: 1986–2022

AbstractUSDA National Agricultural Statistics Service general crop condition data are used to quantify the relationship between crop conditions and yield, condition tendencies during the growing season, how conditions vary across the United States, and how conditions have trended for the 1986–2022 period for a variety of crops: barley (Hordeum vulgare L.), corn (Zea mays L.), cotton (Gossypium hirsutum L.), oats (Avena sativa L.), peanuts (Arachis hypogaea L.), rice (Oryza sativa L.), sorghum (Sorghum bicolor L.), soybeans (Glycine max L.), and spring and winter wheat (Triticum aestivum L.). Crop conditions are a statistically significant covariate (90% significance level) for yield and can be used in practice on a weekly basis. This becomes increasingly important as, historically, crop conditions not only deteriorated on average, but also became more variable throughout the growing season. Spatial differences in conditions, variability, and trends in condition ratings and variability are caused by crop selection, regional climate, and management practices such as irrigation. Crop conditions were poorest and had the highest interannual variability across the southern Great Plains region. Since 1986, crop conditions in the Great Plains region have deteriorated significantly, while variability has increased. Meanwhile, crop conditions across the southwestern and southeastern United States have significantly improved, while interannual variability in conditions has experienced robust declines. Given climatic and hydrologic trends, to maintain a positive trend in yield, continued advancements in production management and technology are required. Critical decisions regarding real‐time or future management can be supplemented by using crop condition risk assessment information along with actively monitoring weekly conditions.

Arytenoid adduction asymmetry among patients with laryngeal disorders

BackgroundArytenoid asymmetry is usually an incidental finding during video-pharyngo-laryngoscopic examinations, and few otolaryngologists have described the clinical implications of this among patient with laryngeal disorders.AimThe aim of the study is to document the prevalence of arytenoid adduction asymmetry in patients who had video-pharyngo-laryngoscopy and determine if there is any possible association between arytenoid adduction asymmetry and hoarseness.MethodsThis is a retrospective descriptive study involving patients who had video-pharyngo-laryngoscopic examinations for various indications. The medical charts and video-pharyngo-laryngoscopic examination findings recorded in the stored database in ENT outpatient departments of two institutions over a 2-year period were retrospectively reviewed for age, sex, occupation, presenting complaint, and indication for video-pharyngo-laryngoscopic findings and diagnosis. Arytenoid adduction asymmetry was defined in relation to the position of the corniculate cartilages, cuneiform cartilages, and aryepiglottic angle. All the variables in the data were analyzed using Statistical Product and Service Solution (SPSS) version 25.ResultsA total of 152 out of 209 patients had complete information needed for the review, 59 were males and 93 females with age range 20–91 years, and mean age was 46 ± 15.5 years. The overall prevalence rate for adduction asymmetry was 44.7%. Arytenoid asymmetry was seen commonest among the 5th and 6th decades of life and highest among the professional voice users (55%), while the male-to-female ratio was 1.6:1.Hoarseness constituted 40.1% of all indications for video-pharyngo-laryngoscopy, with 71% of patients with hoarseness having a primary laryngeal lesion, 26% had laryngopharyngeal reflux, and 3.3% were due to pubertal voice changes. A significant association was found between arytenoid asymmetry of the male gender P-value 0.027 and hoarseness P-value 0.026.ConclusionArytenoid adduction asymmetry is prevalent in the 5th and 6th decades of life, among patients with hoarseness resulting from unilateral primary laryngeal disorders.

Relationship between net migration and economic development of European countries: Empirical conclusions

The study aims to investigate the relationships between the volume of net migration and the economic development of individual European countries, which will make it possible to forecast the level of GDP and strengthen their migration policy. Correlation-regression analysis was used based on statistical data from Eurostat and the State Statistics Service of Ukraine for the period 2014−2021 for selected European countries (the EU-27 member states, Switzerland, and Ukraine). The correlation-regression analysis showed a relationship between the volume of net migration and the level of GDP. The linear correlation equations forecasted the value of the GDP level depending on the influence of a single factor – the volume of net migration. The attention is focused on the importance of migration, which ensures economic growth for Poland. It is attractive due to a simpler mechanism for moving immigrants than in other EU-27 countries, ease of language learning and easier adaptation, territorial proximity, and a higher standard of living compared to neighboring countries that were part of the Soviet Union. Thus, an increase in net migration to Poland by 1% will lead to an increase in gross domestic product by 1.43 million euros. Due to Russia’s war against Ukraine, net migration from Ukraine to Poland has increased significantly, potentially increasing Poland’s GDP in 2023 by 0.08% or 529.54 million euros.