scholarly journals Research on the Influencing Factors of Russian Foreign Trade Based on R Language Regression Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Shuna Zhou ◽  
Chengwen Kang
Keyword(s):  
Regression Analysis ◽  
Foreign Trade ◽  
Influencing Factors ◽  
Real Effective Exchange Rate ◽  
Total Import ◽  
Factors Affecting ◽  
R Language ◽  
Import And Export ◽  
Main Factors ◽  
Language Regression

Based on the systematic analysis of the development of Russian foreign trade and the characteristics of the regional distribution structure of trade, this work further studies the influencing factors of Russia’s foreign trade by using the R language regression analysis method and constructs three econometric models from import, export, and total import and export. The real effective exchange rate and various instruments and equipment and accessories are the main factors affecting Russia’s import trade, energy, minerals, timber, and related products are the main factors affecting its export trade, and Russia’s GDP and international oil prices are the major factors affecting the total import and export volume. A correct understanding of the factors affecting Russia’s foreign trade will help to understand Russia’s economic and trade development and its changing trend and provide a reliable reference value for the further expansion and optimization of economic and trade cooperation between other economies and Russia.

scholarly journals ASSESSMENT OF THE DEVELOPMENT OF FOREIGN TRADE IN HIGH-TECH PRODUCTION OF UKRAINE UNDER THE ASSOCIATION WITH THE EU

2020 ◽  
Vol 18 (1) ◽  
pp. 157-182
Author(s):  
Igor Matyushenko ◽  
Serhii Hlibko ◽  
Mariana Mateeva Petrova ◽  
Maryna Serhiivna Pasmor ◽  
Maryna Loktionova
Keyword(s):  
Regression Analysis ◽  
Foreign Trade ◽  
Development Strategy ◽  
Industrial Revolution ◽  
World Market ◽  
High Tech ◽  
Factors Affecting ◽  
Main Factors ◽  
Practical Implications ◽  
The Eu

Purpose – the purpose of article should assess the main factors affecting the development of trade in high-tech products of Ukraine in the context of association with the EU and the spread of a new industrial revolution. Research methodology – the scheme of research of trade of high-tech products of Ukraine from the EU on the basis of qualitative and quantitative economic-statistical analysis, analysis of comparative advantages and correlation-regression analysis. Findings – the results of the analysis show that the main factors determining the low presence of Ukraine in the world market of high-tech products are the outdated structure of production, a low level of R&D costs, and a decrease in the innovative activity of Ukrainian enterprises. The article presents the author’s recommendations on improving the effectiveness of foreign trade in high-tech products of Ukraine in the EU market. Research limitations – the absence of a state development strategy for the production of hightech products does not make it possible to accurately determine indicators of scientific research of the potential of Ukraine. Practical implications – correlation-regression analysis results can be used in the private and state sectors of the economy of Ukraine. Originality/Value – the original combination of schemes and methods allowed us to identify new critical places for export development in the context of the association of Ukraine with the EU.

scholarly journals The role of serum β-trophin and endostatin in patients with polycystic ovary syndrome: Are they correlated?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Gong ◽  
Aikmu Bilixzi ◽  
Xinmei Wang ◽  
Yanli Lu ◽  
Li Wan ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Influencing Factors ◽  
Polycystic Ovary ◽  
Pearson Correlation ◽  
Healthy Controls ◽  
Newly Diagnosed ◽  
Ovary Syndrome ◽  
Factors Affecting ◽  
Main Factors

Abstract Background It’s necessary to investigate the serum β-trophin and endostatin (ES) level and its influencing factors in patients with newly diagnosed polycystic ovary syndrome (PCOS). Methods Newly diagnosed PCOS patients treated in our hospital were selected, and healthy women who took physical examination during the same period as healthy controls. We detected and compared the related serum indicators between two groups, Pearson correlation were conducted to identify the factors associated with β-trophin and ES, and the influencing factors of β-trophin and ES were analyzed by logistic regression. Results A total of 62 PCOS patients and 65 healthy controls were included. The BMI, WHI, LH, FSH, TT, FAI, FBG, FINS, HOMA-IR, TC, TG, LDL, ES in PCOS patients were significantly higher than that of healthy controls, while the SHBG and HDL in PCOS patients were significantly lower than that of healthy controls (all p < 0.05). β-trophin was closely associated with BMI (r = 0.427), WHR (r = 0.504), FBG (r = 0.385), TG (r = 0.405) and LDL (r = 0.302, all p < 0.05), and ES was closely associated with BMI (r = 0.358), WHR (r = 0.421), FBG (r = 0.343), TC (r = 0.319), TG (r = 0.404, all p < 0.05). TG, BMI, WHR and FBG were the main factors affecting the serum β-trophin levels (all p < 0.05). FBG, TC and BMI were the main factors affecting the serum ES levels (all p < 0.05). The TG, β-trophin, ES level in PCOS patients with insulin resistance (IR) were significantly higher than that of those without IR (all p < 0.05). Conclusion Increased β-trophin is closely associated with increased ES in patients with PCOS, which may be the useful indicators for the management of PCOS.

Analysis of cognitive characteristics and influencing factors of mass sports rehabilitation in Taiyuan

2019 ◽  
Author(s):  
Yaye He ◽  
Jiangong Wang ◽  
Liangyuan Zhao
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Health Status ◽  
Influencing Factors ◽  
Logistic Regression Analysis ◽  
Education Level ◽  
Factors Affecting ◽  
Exercise Rehabilitation ◽  
And Gender ◽  
Socio Economic Factors

Abstract Background: To assess the awareness regarding sports rehabilitation among residents of Taiyuan. Method: From September 27, 2018 to March 29, 2019, 1200 residents who met the inclusion/ criteria were selected using convenient sampling method. The population was surveyed by self-designed questionnaires, and single factor and two-category logistic regression analysis (stepwise forward method) was used to identify the factors influencing awareness of mass sports rehabilitation in Taiyuan. Results: A total of 1200 questionnaires were issued, of which 1167 were collected and 1101 were valid. The corresponding recovery and effective recovery rates were 97.25% and 94.34% respectively. The overall rate of awareness of exercise rehabilitation was 80.7%, and education level, occupation, income and health status were significant influencing factors (R<0.05). The results of two-class logistic regression analysis showed that age, occupation, education level, income level and health status were the influencing factors affecting the public's perception of the sports rehabilitation concept (R<0.05), whereas gender, occupation, education level and health status influenced understanding of the establishment of the rehabilitation department in Taiyuan (R<0.05), and gender, age, education level and health status affected understanding of the types of patients receiving rehabilitation (R<0.05). Conclusion: There is a high general awareness regarding sports rehabilitation, and is influenced by various socio-economic factors.

scholarly journals The profitability of second-tier banks: essence and main influencing factors

2021 ◽  
Vol 101 (1) ◽  
pp. 36-47
Author(s):  
Zh.T. Yeveskina ◽  
Keyword(s):  
Regression Analysis ◽  
Pair Correlation ◽  
Correlation Coefficients ◽  
Net Income ◽  
Testing Hypotheses ◽  
Factors Affecting ◽  
Main Factors ◽  
Second Tier ◽  
The Republic ◽  
The Relationship

Object. In this article, based on the aggregate indicators of second-tier banks of the Republic of Kazakhstan, what factors and how they affect the net income of the bank is determined. Methods. During the analysis, a correlation-regression analysis of banking data was carried out using the Stata statistical package, and conclusions were drawn. Findings. To identify the factors that affect the profitability of banks, the interdependencies between the selected indicators were identified. The correlation analysis revealed the relationship between the selected factors and the bank's net income. The density of bonds was determined by testing hypotheses calculated based on pair correlation coefficients. Conclusions. The factor analysis carried out made it possible to identify the main factors affecting the bank's activities and assess the degree of their impact. As a result of the analysis of factors affecting the bank's income in the aggregate indicator of second-tier banks of the Republic of Kazakhstan, the compliance of the results obtained with the expected results was determined.

scholarly journals The Spatial Distribution and Influencing Factors of Urban Cultural and Entertainment Facilities in Beijing

2021 ◽  
Vol 13 (21) ◽  
pp. 12252
Author(s):  
Dan He ◽  
Zixuan Chen ◽  
Shaowei Ai ◽  
Jing Zhou ◽  
Linlin Lu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Influencing Factors ◽  
Nearest Neighbor ◽  
Grid Method ◽  
Well Being ◽  
Historical Background ◽  
Significant Heterogeneity ◽  
Factors Affecting ◽  
Spatial Lag Model ◽  
Main Factors

Cultural and entertainment facilities are an important mainstay for urban development and the well-being of urban residents. Studying their spatial distribution is thus of great significance for improving urban functions and shaping urban characteristics. This paper uses the Simpson index, grid method, kernel density, nearest neighbor analysis and hierarchical clustering analysis to present in detail the spatial pattern, hotspot distribution and clustering characteristics of urban cultural and entertainment facilities in Beijing. With the help of the spatial lag model, the main factors affecting the spatial distribution of the facilities are explored. The results are as follows: Different types of cultural and entertainment facilities have different spatial agglomeration effects, which are closely related to the historical background of Beijing, industrial distribution, and the living needs of residents; the facilities generally present a spatial distribution with prominent centrality, strong clustering and significant heterogeneity; and financial insurance institution density, building density, securities company density, housing rent and distance to nearest scenic spot are the main factors affecting the distribution of the facilities. Analyzing the distribution characteristics and influencing factors of urban cultural and entertainment facilities in Beijing will provide typical cases and decision-making references that can underpin the informed layout and planning of urban cultural and entertainment industries and facilities.

scholarly journals Factors Affecting Fin Damage of Farmed Rainbow Trout

2015 ◽  
Vol 38 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Aleksandar Cvetkovikj ◽  
Miroslav Radeski ◽  
Dijana Blazhekovikj-Dimovska ◽  
Vasil Kostov ◽  
Vangjel Stevanovski
Keyword(s):  
Regression Analysis ◽  
Rainbow Trout ◽  
Water Temperature ◽  
Production Systems ◽  
Stocking Density ◽  
Fish Welfare ◽  
Factors Affecting ◽  
Pectoral Fins ◽  
Main Factors ◽  
Trout Farms

Abstract The aims of this study were to determine the influence of the factors affecting fin damage under different rainbow trout production systems and to compare the findings with the known experimental reports. The study was based on a questionnaire that included information about the main factors i.e. oxygen level in exit water, water temperature, stocking density, daily feed ration, number of meals and grading frequency on seven rainbow trout farms. Standard multiple regression analysis, based on a previously published fin damage dataset, was used to assess the relationship between the level of fin damage per fin and the factors. Daily feed ration received the strongest weight in the model for the caudal, anal and both pectoral fins, whereas number of meals received the strongest weight in the model for both pelvic fins. Grading frequency received the strongest weight only in the dorsal fin model. Lower levels of daily feed ration and number of meals combined with higher water temperature increased the level of fin damage, whereas stocking density had no effect. The results conform to the experimental research on fin damage in rainbow trout. The research model contributes to the overall assessment of fish welfare and the regression analysis used in this study could be used on rainbow trout farms to evaluate the effect of the main factors on the level of fin damage.

Variation of PAHs, PCBs and OCPs Contents and Influencing Factors in Sludge Landfill Process

2014 ◽  
Vol 522-524 ◽  
pp. 797-805 ◽  
Author(s):  
Ying Zhu ◽  
Miao Zhang ◽  
Zhe Han ◽  
Su Ping Feng
Keyword(s):  
Waste Water ◽  
Influencing Factors ◽  
Scientific Basis ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Plant Chemical ◽  
Benzene Rings ◽  
Pahs Concentration ◽  
Main Factors ◽  
Coking Plant

In order to know about the variation of PAHs, PCBs and OCPs of sludge in landfill, discover the factors influencing the contents of PAHs, PCBs, OCPs and provide the scientific basis for the agriculture reuse of aged-sludge, the variation of PAHs, PCBs, OCPs contents and influencing factors in sludge landfill were studied in this paper. PAHs concentration of different landfill periods rang from 6.645 to 10.008 mg·kg-1 and show an increasing tendency with the increase of landfill duration. PAHs are mainly composed of more than four benzene-based compounds, and less than three benzene rings compounds contents of PAHs are relatively low. PCBs concentrations rang from 15.655 to 25.569 μg·kg-1 and present a decreasing trend with the landfill time, which far less than the standard of 0.2 mg·kg-1. PCBs at the beginning of the landfill are mainly composed of the 3-Cl and 5-Cl compounds. In the late of the landfill, 2-Cl compounds increase significantly. The range of OCPs concentration is 1.78~2.37 μg·kg-1. The main factors affecting the PAHs, PCBs and OCPs contents are microbial degradation and transformation. Analysis of the pollutants sources indicate that PAHs in sludge are mainly derived from the waste water of refinery, coking plant, gasworks, smelt plant and pitch plant. Chemical industry, timber process and electricity industry are the main sources of PCBs and OCPs in sludge.

Empirical Study of Credit Rating’s Factors Based on the Buyer’s Perspective in the Netshop of Small and Micro Enterprises in TianJin

2014 ◽  
Vol 697 ◽  
pp. 499-503
Author(s):  
Chen Xing Bai
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Empirical Study ◽  
Credit Rating ◽  
Specific Structure ◽  
Factors Affecting ◽  
Main Factors ◽  
Micro Enterprises

Researching on the factors affecting the level of credit rating in the netshop of small and micro enterprises in TianJin, the seven main factors are extracted through factor analysis; And then the paper does the regression analysis between the seven main factors and the credit rating levels, so does between each of the main factors and their specific structure. Finally, it calculates the order of importance and the value of impacting. So it can provide a reference for the network shop of small and micro enterprises to enhance the credit rating level.

Analysis of Factors Affecting Customer Satisfaction Using Eucalyptus Oil on Walbarua Kettle in Ubung Village

2020 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Firman Gazali Djunaidi ◽  
R.S. Masna Hatuwe ◽  
A. Yusdianti Tenriawali ◽  
Heny Irnayanti Umagapy ◽  
M Chairul Basrun Umanailo
Keyword(s):  
Regression Analysis ◽  
Consumer Satisfaction ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Oil Price ◽  
Factors Affecting ◽  
Eucalyptus Oil ◽  
Main Factors ◽  
Quantitative Descriptive ◽  
Research Period

This study aims to determine what factors influence consumer satisfaction in using eucalyptus oil in a Walbarua kettle in Ubung village, Buru Regency. This research is quantitative descriptive. The research is located in the kettle Walbarua in Ubung village. The research object is consumers having bought eucalyptus oil repeatedly in a Walbarua kettle in Ubung Village. The research period is a month from April to May 2020. The data collection techniques in this study are observation and questionnaires. Data analysis in this study using multiple linear regression analysis. The results showed that there was an effect of product quality on consumer satisfaction who had used eucalyptus oil in a Walbarua kettle in Ubung village of 41.9%, and there was an effect of price on consumer satisfaction who had used eucalyptus oil in a Walbarua kettle in Ubung village of 38.1 %. Therefore, the affordable eucalyptus oil price is one of the main factors to attract the attention of consumers for buying eucalyptus oil in Ubung Village.

scholarly journals Risk analysis and influencing factors of drought and flood disasters in China

2021 ◽  
Author(s):  
Wei Pei ◽  
Cuizhu Tian ◽  
Qiang Fu ◽  
Yongtai Ren ◽  
Tianxiao Li
Keyword(s):  
Economic Development ◽  
Risk Analysis ◽  
Influencing Factors ◽  
Social Economy ◽  
Research Area ◽  
Statistical Distribution ◽  
Formation Mechanisms ◽  
Drought Risk ◽  
Factors Affecting ◽  
Main Factors

Abstract The risk analysis of flood and drought disasters and the study of their influencing factors enhance our understanding of the temporal and spatial variation law of disasters and help identify the main factors affecting disasters. This paper uses the provincial administrative region of China as the research area. The statistical distribution of flood and drought disasters was optimized from 10 alternative distributions by the KS test, and the disaster risk was analyzed. Thirty-five indicators were selected from nature, agriculture and the social economy as alternative factors. The main factors affecting flood and drought disasters were selected by Pearson, Spearman and Kendall correlation coefficient test. The results demonstrated that the distribution of floods and drought is right skewed, and the beta distribution is the best statistical distribution for fitting disasters. In terms of time, the risk of flood and drought disasters in all regions showed a downward trend. Economic development and the enhancement of the ability to resist disasters were the main reasons for the change in disasters. Spatially, the areas with high drought risk were mainly distributed in Northeast and North China, and the areas with high flood risk were mainly distributed in the south, especially in Hubei, Hunan, Jiangxi and Anhui. The distribution of floods and drought disasters was consistent with the distribution characteristics of precipitation and water resources in China. Among the natural factors, precipitation was the main factor causing changes in floods and drought disasters. Among the agricultural and socioeconomic factors, the indicators reflecting the disaster resistance ability and regional economic development level were closely related to flood and drought disasters. The research results have reference significance for disaster classification, disaster formation mechanisms and flood and drought resistance.

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