scholarly journals Household Financial Situation during the COVID-19 Pandemic with Particular Emphasis on Savings—An Evidence from Poland Compared to Other CEE States

Risks ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 166
Author(s):  
Grażyna Szustak ◽  
Witold Gradoń ◽  
Łukasz Szewczyk
Keyword(s):  
Well Being ◽  
Regression Method ◽  
Linear Regression Method ◽  
Household Savings ◽  
Main Aspect ◽  
Financial Decisions ◽  
Econometric Methods ◽  
Multiple Linear Regression Method ◽  
The Impact ◽  
Research Show

The aim of this article is to analyze and assess the impact of the pandemic on the finances of households in Poland, compared to other CEE countries (including Czech Republic, Slovakia and Hungary), with particular emphasis on changes in the level of their savings, which are considered to be the foundation for the development of the indicated research group. There is no doubt that the pandemic had an impact on the situation of households, which is mainly visible in the labor market (rising unemployment), and thus the question arises to what extent have the households’ approaches to financial decisions changed because of this situation? The propensity to save was taken into account as a main aspect of this problem, because it has, among others, a big impact on the financial well-being (in a broader sense). Using the multiple linear regression method, the factors that influence the level of household savings were determined. The results of the research show that these factors are different in the analyzed countries and have a different impact on the level of the explained variable, which is the gross saving rate. The research should also be treated as a preliminary one. It constitutes a contribution to in-depth research with the use of more sophisticated statistical and econometric methods, which will allow for the better assessment of the examined issue.

scholarly journals Religiosity and Halal Certification: Its Effect on Interest in Buying Traditional Food

2022 ◽  
Vol 6 (2) ◽  
pp. 79
Author(s):  
Najmudin Najmudin ◽  
Syihabudin Syihabudin
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Research Method ◽  
Quantitative Methods ◽  
Regression Method ◽  
Linear Regression Method ◽  
Traditional Food ◽  
Questionnaire Data ◽  
Multiple Linear Regression Method ◽  
The Impact

This study aims to determine (1)—the influence of religiosity on the interest in buying traditional food of sate bandeng. (2). The effect of halal certification on the interest in buying traditional food of sate bandeng. And (3). The impact of religiosity and halal certification on interest in buying traditional food of sate bandeng. This research is the millennial consumers of traditional food of Sate Bandeng Kang Cepi Kaujon, Serang City, Banten Province. The research method used is quantitative. Methods of data collection using a questionnaire. Data were processed using SPSS version 23 software. Data analysis used the multiple linear regression method. The results of this study indicate that (1). Religiosity affects an interest in buying traditional food of Sate Bandeng. (2). Halal certification affects an interest in buying traditional food of sate bandeng (3). Religiosity and halal certification have a positive and significant impact on interest in buying traditional food of Sate Bandeng. Consumers’ interest in buying traditional food of Sate Bandeng is influenced by religiosity and halal certification as much as 48.8 percent. In comparison, the remaining 51.2 percent is influenced by other variables not examined in this study.

scholarly journals Faktor-Faktor Penyebab Utang Luar Negeri dan Dampaknya Terhadap Pertumbuhan Ekonomi Indonesia

2021 ◽  
Vol 21 (1) ◽  
pp. 21
Author(s):  
Nunu Nugraha ◽  
Kamio Kamio ◽  
Diah Setyorini Gunawan
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Government Spending ◽  
Foreign Debt ◽  
External Debt ◽  
Regression Method ◽  
Debtor Country ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method ◽  
The Impact

This research aims to examine and analyze the effect of government spending, exchange rate, and Debtor economic growth on Indonesia's foreign debt, as well as the impact of external debt on economic growth. The tools of the analysis in this research used multiple linear regression method and use test (t-test and F-test). The result of study indicated government expenditures have a significant effect on foreign debt while debtor country exchange rate and economic growth have no significant effect on external debt. Simultaneously government spending, debt country,  exchange rate and economic growth significantly affected Indonesia's foreign debt in 2001-2017. Meanwhile, foreign debt has  significant effect on economic growth in Indonesia in 2001-2017.

scholarly journals Factores Que Afectan Al Cultivo De Caña De Azúcar Para Producción De Bioetanol En Ecuador

2017 ◽  
Vol 13 (24) ◽  
pp. 58 ◽  
Author(s):  
Cristhian Jover Castro-Armijos ◽  
Eveligh Prado-Carpio ◽  
José Roberto Paladines-Romero ◽  
Abrahan Cervantes-Álava
Keyword(s):  
Energy Security ◽  
Agricultural Production ◽  
Regression Method ◽  
Statistical Information ◽  
Linear Regression Method ◽  
National Plan ◽  
Multiple Linear Regression Method ◽  
Surface Survey ◽  
Good Living ◽  
The Impact

The purpose of this article is to predict the impact of variables planted area, rainfall and temperature on production. The research is focused on the analysis of agricultural statistical information from Ecuador, which was compiled from institutions such as the Surface Survey and Continuing Agricultural Production (ESPAC) and the Agricultural Information System (SINAGAP). For the statistical analysis of the information the multiple linear regression method was used using the software SPSS 21. The results obtained show that 51.86% of the variability is predicted by the variable planted area. It is important to continue producing gasoline blends with ethanol from sugarcane and diesel with biodiesel, focusing this on the production transformation framed in the National Plan for Good Living 2013-2017, thus promoting energy security, reducing emissions of Longterm greenhouse effect. The results presented predict the variables that most influence the agricultural production of sugar cane.

ANALISIS PENGARUH AGENCY COST TERHADAP DIVIDEND PAYOUT RATIO (Pada Perusahaan Manufaktur di Bursa Efek Indonesia Tahun 2010-2011)

2013 ◽  
Author(s):  
Raudhatul Hidayah
Keyword(s):  
Firm Size ◽  
Sampling Method ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Agency Cost ◽  
Regression Method ◽  
Linear Regression Method ◽  
Dividend Payout ◽  
Multiple Linear Regression Method

The main purpose of the research was to know partially the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010–2011 period. The other purpose is to know simultaneously the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010–2011 period. The population of this research was all the firms that listed at Indonesia Stock Exchange of 2010-2011 period namely, 136 in number. The sample, 27 firms, was taken by the use of purposive sampling method. The technique of data collection used was documentation.  The data analysis made use of multiple linear regression method. The results showed that partially institutional ownership had a positive and significant effect to dividend policy. Collateralizable assets, debt to total assets and firm size partially was not significant to dividend policy. Simultaneously institutional ownership, collateralizable assets, debt to total assets and firm size had a positive and significant effect to dividend payout ratio.

ANALISIS PENGARUH AGENCY COST TERHADAP DIVIDEND PAYOUT RATIO (Pada Perusahaan Manufaktur di Bursa Efek Indonesia Tabun 2010-2011)

2013 ◽  
Author(s):  
Raudhatul Hidayah
Keyword(s):  
Firm Size ◽  
Sampling Method ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Agency Cost ◽  
Regression Method ◽  
Linear Regression Method ◽  
Dividend Payout ◽  
Multiple Linear Regression Method

The main purpose of the research was to know partially the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010-2011 period. The other purpose is to know simultaneously the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010-2011 period. The population of this research was all the firms that listed at Indonesia Stock Exchange of 2010-2011 period namely, 136 in number. The sample, 27 firms, was taken by the use of purposive sampling method. The technique of data collection used was documentation. The data analysis made use of multiple linear regression method. The results showed that partially institutional ownership had a positive and significant effect to dividend policy. Collateralizable assets, debt to total assets and firm size partially was not significant to dividend policy. Simultaneously institutional ownership, collateralizable assets, debt to total assets and firm size had a positive and significant effect to dividend payout ratio.

An application of QSRR approach and multiple linear regression method for lipophilicity assessment of flavonoids

2019 ◽  
Vol 164 ◽  
pp. 681-689 ◽  
Author(s):  
Mariusz Zapadka ◽  
Mateusz Kaczmarek ◽  
Bogumiła Kupcewicz ◽  
Przemysław Dekowski ◽  
Agata Walkowiak ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method

scholarly journals PENGARUH DISKRIMINASI DAN PEMERIKSAAN PAJAK TERHADAP PERSEPSI WAJIB PAJAK ORANG PRIBADI MENGENAI PENGGELAPAN PAJAK DI KOTA BITUNG (Studi Kasus Pada WPOP yang ditemui di KPP Pratama Bitung)

2017 ◽  
Vol 12 (2) ◽  
Author(s):  
Prielly Natasya Kartini Widjaja ◽  
Linda Lambey ◽  
Stanley Kho Walandouw
Keyword(s):  
Tax Evasion ◽  
Sampling Method ◽  
Regression Method ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method ◽  
Tax Laws ◽  
Tax Audit ◽  
Convenience Sampling ◽  
Spss Software ◽  
Tax Payers

Tax is the highest revenue of the country that. Therefore, government continues to increase the source of revenue derived from taxes. However, in reality there are many taxpayers who do not obey tax laws by evading their taxes. Tax Evasion is a taxpayer's act who always tries to minimize the tax payable by violating the provisions of tax laws. The purpose of this research is to find out the effect of tax discrimination and tax audit of tax evasion. Data were collected by questionnaires. Questionnaires were filled up by 100 tax payers in KPP Pratama Bitung. Technique sampling is non probability sampling with convenience sampling or accidental sampling method. This research used multiple linear regression method and SPSS software version 21.0 was utilized. The result shows tax discrimination has no effect on tax evasion and tax audit influence on tax evasion.Keywords: discrimination, tax audit, tax evasion.

scholarly journals Accident Prediction Model at Unsignalized Intersection Using Multiple Linear Regression Method

2017 ◽  
Vol 1 (2) ◽  
pp. 379-389
Author(s):  
N. K. Oghoyafedo ◽  
J. O. Ehiorobo ◽  
Ebuka Nwankwo
Keyword(s):  
Linear Regression ◽  
Prediction Model ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Design Standards ◽  
Accident Prediction ◽  
Geometric Characteristics ◽  
Unsignalized Intersections ◽  
Multiple Linear Regression Method

The issue of road accidents is an increasing problem in developing countries. This could be due to increasing road traffic/vehicle occupancy, geometric characteristics and road way condition. The factors influencing accidents occurrence are to be analysed for remedies. The purpose of this research is to develop an accident prediction model as a measure for future study, aid planning phase preceding the designed intervention, enhance the production of updated design standards to enable practitioners design unsignalized intersection for optimal safety, reduce the number of accidents at unsignalized intersections. Five intersections were selected randomly within Benin City and traffic count carried out at these intersections as well as geometric characteristics and roadway conditions. The prediction model was developed using multiple linear regression method and the standard error of estimate was computed to show how close the observed value is to the regression line. The model was validated using coefficient of multiple determination. The establishment of the relationship between accidents and traffic flow site characteristics on the other hand would enable improvement to be more realistically accessed. This study will also enhance the production of updated design standards to enable practitioners design unsignalized intersection for optimal safety, reduce the number of accidents at unsignalized intersections.

scholarly journals The Determinan Kinerja Keuangan Perusahaan Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia

2021 ◽  
Vol 4 (2) ◽  
pp. 455-463
Author(s):  
Jusmarni Amir
Keyword(s):  
Capital Structure ◽  
Capital Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Regression Method ◽  
Financial Information ◽  
Share Price ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method ◽  
Food And Beverage

Stocks are currently a popular investment product among investors. Stocks that are of interest to investors are stocks that have a high selling value because the stock price is a very important factor to pay attention to and indicators are used to measure the welfare of shareholders. The higher the share price, the higher the value of the company and vice versa. However, investing in stocks in the capital market is also filled with an element of uncertainty or risk, this is because investors do not know with certainty the results they will get from their investments. Company specific financial information is one of the important internal company factors that can influence investors to invest. The research aims to analyse the effect of Capital Structure, liquidity, and profitability on stock price. Samples used in this study are food and beverage companies listed in the Indonesian Stock Exchange during 2016-2018 periods. Multiple linear regression method used to anlyse the effect of DER,CAR,  and NPM on Stock Price. The results showed that DER and CAR have not significant effect on Stock Price. NPM have a significant effect on Stock Price. Keywords: Capital Structure, liquidity, Profitability, Stock Price

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