scholarly journals Statistical Analysis of the Development Indicators’ Impacts on E-Commerce of Individuals in Selected European Countries

2018 ◽  
Vol 64 (2) ◽  
pp. 15-24
Author(s):  
Ksenija Dumičić ◽  
Ivana Skoko Bonić ◽  
Berislav Žmuk
Keyword(s):  
Principal Component ◽  
European Countries ◽  
It Infrastructure ◽  
Significance Level ◽  
Factors Affecting ◽  
Development Indicators ◽  
Independent Variables ◽  
Online Purchase ◽  
Main Variable ◽  
It Skills

AbstractThe aim of this paper is to analyse the influence of the development level indicators on the e-commerce, i.e. on the online purchase by individuals, in selected European countries in 2013. In the analysis, the main variable under study and all the independent variables are included as standardised. Based on nine variables, the principal component analysis with varimax rotation was performed and the two extracted factors were used as the regressors in the multiple regression analysis. In the regression model both components, Factor 1, which includes seven variables, called Prosperity, Investing in Education and IT Infrastructure, and Awareness, and Factor 2, comprised of two variables, called IT Skills, are statistically significant at the significance level of 1%. Both factors show a positive correlation with the online purchase of individuals. Inclusion and analysis of distributions and impacts of even nine independent variables, which make up two distinct factors affecting the e-commerce, make a new contribution of this work.

scholarly journals FACTORS AFFECTING THE WILLING TO JOIN IN COFFEE CROP INSURANCE IN DAK LAK PROVINCE, VIETNAM: A NOVEL APPLICATION OF BAYESIAN MODEL AVERAGING APPROACH

2020 ◽  
Vol 8 (5) ◽  
pp. 68-80
Author(s):  
Le Dinh Thang ◽  
Nguyen Van Si
Keyword(s):  
Rural Areas ◽  
Bayesian Model ◽  
Bayesian Model Averaging ◽  
Crop Insurance ◽  
Insurance Companies ◽  
Coffee Tree ◽  
Significance Level ◽  
Factors Affecting ◽  
Independent Variables ◽  
Model Average

Purpose of the study: this paper aims to determine factors affecting the willingness to join crop insurance. Besides, this paper is the purpose of developing a coffee tree insurance program. Methodology: The authors used a systematic random sampling technique. The authors used the Bayesian Model Average (BMA) that calculated the probability of all independent variables affecting the dependent variable with significance level 0.05. Besides, the data based on 480 coffee farmers in Dak Lak province, Vietnam. Main Findings: Authors calculated the probability of all independent variables affecting the dependent variable with significance level 0.05. Independent variables, including loans, drought risks, educational level, experiences, and productivity. Applications of this study: This result is a vital science document for insurance companies and managers to apply and suggest recommendations for developing coffee tree insurance in the future. Novelty/Originality of this study: Vietnam is an agricultural country, 60-70% of the population lives in rural areas, and agricultural insurance should have a considerable market. Farmers’ agrarian insurance cultivated the coffee trees that are currently underdeveloped and challenging.  

scholarly journals The Panel Data Analysis to Identify the Factors Affecting Turkish Currency Assets of Foreign Deposit Banks

2021 ◽  
pp. 121-128
Author(s):  
Ersan Özgür
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Banking Sector ◽  
Free Market ◽  
Panel Data Analysis ◽  
Foreign Banks ◽  
Significance Level ◽  
Factors Affecting ◽  
Independent Variables ◽  
Study Results

With the implementation of free market economy in Turkey starting from 1980, restrictions on foreign capital flows began to be abolished. Within the scope of international expansion in financial aspects, steps for integration with global financial markets were taken, and regulations were made. Accordingly, the number of foreign banks in Turkish banking system have increased since 1980, and reached an important scale in the sector. The share of foreign deposit banks’ total assets in the entire banking sector is at 22,8% level as of 2019. In this study, panel data analysis was performed to identify the factors affecting the Turkish currency assets of foreign deposit banks. The 11-year data for the 2009-2019 period were utilized in the study. Turkish Currency Assets / Total Assets was determined as the dependent variable in the analysis. The factors affecting the Turkish currency assets of foreign deposit banks were identified as Turkish Currency Liability / Total Liability [TPYUK], Turkish Currency Deposits / Total Deposits [TPMEV], and Turkish Currency Loans / Total Loans [TPKREDI]. Based on the study results the model formed was significant, and the ratio of independent variables for explaining the dependent variable in the model was approximately 48%. The independent variables TPYUK and TPKREDI were revealed to have a statistically significant positive effect on the dependent variable at 5% significance level. A 1-unit raise in TPYUK increased the dependent variable by 0,436 unit, and a 1-unit raise in TPKREDI by 0,033 unit. No statistically significant effect of TPMEV as the other independent variable was identified on the dependent variable.

Understanding Research Online Purchase Offline (ROPO) Behaviour of Indian Consumers

2020 ◽  
Vol 10 (1) ◽  
pp. 1-14
Author(s):  
Utkal Khandelwal ◽  
Seemant Kumar Yadav ◽  
Yogesh Kumar
Keyword(s):  
Principal Component ◽  
Survey Method ◽  
Principal Component Factor Analysis ◽  
Product Knowledge ◽  
Factors Affecting ◽  
Online Purchase ◽  
Analysis Technique ◽  
Indian Consumers ◽  
Shopping Experience ◽  
The Common

E-commerce business is increasing at a huge speed in India but still bigger cake is in the hand of offline retailers. Because of the easy accessibility of internet, a unique kind of consumer behaviour has been seen where the consumer searches products and information through internet and then purchases offline. This article accesses the factors why consumers research online and purchase offline. The objective of this study is measuring attitude towards ROPO behaviour. For this, a survey method has been used and data was collected online and offline. The principal component factor analysis technique is used in order to investigate the common factors that might explain underlying reasons for ROPO behaviour. It was found that factors affecting ROPO behaviour are product knowledge and information, online shopping infrastructure, quick possession, risk reduction, and shopping experience among Indian consumers. The findings of this study provide important insights for the e-commerce platforms which have spent money trying to be competitive and do not get the expected conversion.

scholarly journals Assessing the Impact of Bank Concentration and Liquidity of Refah Bank Branches on Profitability during the Period1383-190

2014 ◽  
Vol 4 (1) ◽  
pp. 248
Author(s):  
Hossin Ostadi ◽  
Nastran Monsef
Keyword(s):  
Commercial Banks ◽  
Bank Capital ◽  
Factors Affecting ◽  
Bank Branches ◽  
Independent Variables ◽  
Bank Deposits ◽  
The Impact ◽  
Bank Concentration ◽  
Research Period

Profitability is an important factor to show this articledoeswhat is the role of the intermediary bank to collect your savings and allocation of loans.  Given the importance of profitability indicators in this study, the factors affecting the profitability of commercial banks in Iranare analyzedwith emphasis on the degree of centralization and bank deposits. Dependent variable is indicators of profitability (ROE, ROA) and bank deposits, bank size, bank capital, focus on liquidity and banking requirements are independent variables. Correlation analysis and OLS regression are used and the research period is 1381 to 1390 that the country's territory where bank branches.Our results indicate that the effect of bank size on profitability is positive and the increase in bank size on profitability is increased. Impact on the profitability of bank deposits is positive, ie increasing the profitability of bank deposits increased. Finally, the impact of bank concentration on profitability is positive. Increasing the bank's focus profitability increases. Moreover, the results adversely affect the liquidity of the index is profit. 

scholarly journals Factors Affecting Transport Sector CO2 Emissions in Eastern European Countries: An LMDI Decomposition Analysis

2021 ◽  
Vol 5 (1) ◽  
pp. 25
Author(s):  
Souhir Abbes
Keyword(s):  
Co2 Emissions ◽  
Decomposition Analysis ◽  
European Countries ◽  
Transport Systems ◽  
Transport Sector ◽  
Eastern European ◽  
Factors Affecting ◽  
Mode Of Transport ◽  
Eastern European Countries ◽  
Carbon Dioxide Co2

In this paper, we use the Logarithmic Mean Divisia Index (LMDI) to apply decomposition analysis on Carbon Dioxide (CO2) emissions from transport systems in seven Eastern European countries over the period between 2005 and 2015. The results show that “economic activity” is the main factor responsible for CO2 emissions in all the countries in our sample. The second factor causing increase in CO2 emissions is the “fuel mix” by type and mode of transport. Modal share and energy intensity affect the growth of CO2 emissions but in a less significant way. Finally, only the “population” and “emission coefficient” variables slowed the growth of these emissions in all the countries, except for Slovenia, where the population variable was found to be responsible for the increase in CO2 emissions. These results not only contribute to advancing the existing literature but also provide important policy recommendations.

scholarly journals The Ecological and Ethical Consumption Development Prospects in Poland Compared with the Western European Countries

2011 ◽  
Vol 14 (2) ◽  
pp. 101-123 ◽  
Author(s):  
Małgorzata Koszewska
Keyword(s):  
Principal Component ◽  
Ethical Consumption ◽  
European Countries ◽  
Primary Sources ◽  
Sources Of Information ◽  
Socially Responsible ◽  
Secondary Sources ◽  
Western European ◽  
Polish Economy ◽  
Development Prospects

An overview of the Western European literature shows that one of the most distinct trends in consumption that has been noted in the recent years is globally increasing environmental and social awareness. The issue of consumers' behaviours and attitudes towards "socially responsible products" has been gaining importance in Polish economy as well. This article evaluates the development prospects of ethical and ecological consumption in Poland vis-a-vis Western European countries. The comparative analysis being part of the article utilizes primary sources of information, i.e. interviews with a representative sample of Polish adults, as well as secondary sources of information. A factor analysis or, more precisely, a principal component analysis, allowed dividing Polish consumers into groups that were typologically homogeneous in respect of their sensitivity to various aspects of business ethics and ecology.

Reliability Parameters Forecasting for Transmission Lines Based on Principal Component Regression

2013 ◽  
Vol 291-294 ◽  
pp. 2381-2386 ◽  
Author(s):  
Wen Xia Liu ◽  
Ji Kai Xu ◽  
Hong Yuan Jiang ◽  
Yong Tao Shen
Keyword(s):  
Principal Component Analysis ◽  
Transmission Lines ◽  
Principal Component Regression ◽  
Principal Component ◽  
Forecasting Accuracy ◽  
Factors Affecting ◽  
Reliability Parameters ◽  
Impacting Factors ◽  
Simulation Results

It is the foundation for evaluating the reliability of transmission lines to obtain and analyze the original reliability parameters. However, these parameters depend on long- term statistic and calculation. In the case of lacking such parameters in a new project , this paper proposes a method of Principal Component Analysis to obtain the principal component of the impacting factors ,in which various factors affecting reliability parameters are taken into account. Through this method, we can use PCR to obtain the failure rate of the unknown transmission lines on the base of the known credible lines’ rates. The simulation results show that the proposed approach possesses higher forecasting accuracy and provides references for the power system dispatching departments and transmission lines maintenance departments.

A Comparative Analysis of the Power of Selected European Countries. The Economic Determinants

2021 ◽  
Vol 37 (37) ◽  
pp. 22-42
Author(s):  
Alicja Paluch ◽  
Henryk Spustek
Keyword(s):  
Czech Republic ◽  
Comparative Analysis ◽  
European Countries ◽  
Economic Power ◽  
Strongly Correlated ◽  
The Czech Republic ◽  
Independent Variables ◽  
Economic Sphere ◽  
National Power

The ever-increasing need for in-depth analysis and quantification of the national power, in particular ‘hard’ and ‘soft’ power-generating factors as well as difficulties in identifying a comprehensive and effective method for scientific determination of the national power, have given rise to research in the indicated scientific issues within this article. The presented considerations aim to define the assumptions for a descriptive sub-model that would enable a comparison of Poland’s power in the economic sphere (which is a component of the non-military sphere) with the power of selected European countries. The research hypothesis is that, among the variety of descriptive variables in the economic sphere of the national power, there is a subset of mutually independent variables, at the same time strongly correlated with the national power, which make it possible to define assumptions for the sub-model of the national power. The steps of the research procedure were carried out using the method of system analysis (multi-criteria comparative analysis) and statistical analysis. The research activities undertaken have shown that the factors that are strongly correlated with the national power in the economic area of the European countries adopted for the analysis are: dynamics of industrial production, private sector credit flows and economic freedom index. The comparative analysis carried out demonstrates that the greatest increase in the economic power in the analysed period took place in Germany (0.68). Slightly smaller growth was recorded in the Czech Republic (0.62) and Poland (0.60), while the lowest value of increase was in Romania (0.23). The conducted qualitative comparative analysis of the economic power of selected European countries allowed to conclude that the independent variables identified are crucial for the formation of the economic power of the analysed countries. At the same time, a fairly strong position of the Czech Republic and Poland in relation to the economic power of Germany was found. The performed quantification of the economic power of the European countries provides a basis for the correct determination of changes in the power distribution of political units, assessment of the power and resources held by the state.

scholarly journals ANALISIS PENGARUH MANAJEMEN MODAL KERJA TERHADAP PROFITABILITAS PERUSAHAAN MANUFAKTUR SEKTOR INDUSTRI DASAR DAN KIMIA GO PUBLIC PADA BURSA EFEK INDONESIA (BEI) PERIODE TAHUN 2011 - 2014

2016 ◽  
Vol 13 (2) ◽  
pp. 121
Author(s):  
Citra Indradewi ◽  
Endang Tri Widyarti
Keyword(s):  
Hypothesis Test ◽  
Sampling Technique ◽  
The Other ◽  
Capital Management ◽  
Working Capital ◽  
Working Capital Management ◽  
Significance Level ◽  
Independent Variables ◽  
Other Hand ◽  
Conversion Period

This research aims to analyze the effect of working capital management on profitability ofbasic industry and chemicals that listed in Indonesia Stock Exchange (IDX) within 2011-2014. Indicator of working capital management used in this research are cash conversioncycle (CCC), receivable conversion period (RCP), inventory conversion period (ICP),payable deferral period (PDP), and current ratio (CR). On the other hand, indicator ofprofitability used in this research is net profit margin (NPM).The sample data used in this research took from financial statement that have beenaudited and published in IDX. According to sampling technique used in this research,which is purposive sampling, there’re 25 companies that fit to certain criteria. Method ofdata analysis used in this research is Multiple Regression Analysis, which previouslyperformed classical assumption test. Hypothesis test is using F-statistic test, t-statistictest, and determination of coefficients with significance level of 5%.The result of this research indicates independent variables simultaneously (F-statistictest) effect on profitability (NPM) with significance level 0,000. On the other hand,partially (t-statistic test) indicates CCC has negative and significant effect onprofitability, PDP and CR have positive and significant effect on profitability.Meanwhile, RCP and ICP has positive and not significant effect on profitability. Adjusted’s score is 0,454 which means that the ability of independent variables can explainprofitability with 45,4%, while the rest is explain by other factors.

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