scholarly journals The Effect Of Government Spending For Economic Structure Changes In Gorontalo Province

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Dyna Pratama Gobel ◽  
Fitri Hadi Yulia Akib
Keyword(s):  
Regression Analysis ◽  
Structural Change ◽  
Government Spending ◽  
Economic Structure ◽  
Structure Changes ◽  
Panel Data Regression ◽  
Data Regression ◽  
Quantitative Descriptive ◽  
Positive Effect

This study aims to determine the extent of the effect of government spending on changes in economic structure in Gorontalo Province 2011-2016. This study uses panel data regression analysis, with quantitative descriptive methods. and to calculate the shift in structure in Gorontalo Province using the formula (Structural Change Index). The results showed that Government spending directed at economic development in the Province of Gorontalomen showed a positive effect, meaning that the role of the primary sector was increasing so that it did not have an impact on changes in economic structure. Keywords: Government Spending, Economic Structural Change

scholarly journals Grey power and the Economy: Aging and Inflation Across Advanced Economies

2017 ◽  
Vol 51 (4) ◽  
pp. 514-552 ◽  
Author(s):  
Tim Vlandas
Keyword(s):  
Regression Analysis ◽  
Older People ◽  
Panel Data Regression ◽  
Inflation Rates ◽  
Advanced Economies ◽  
Data Regression ◽  
Democratic Parties ◽  
Social Democratic Parties ◽  
Larger Sample

What explains the cross-national variation in inflation rates across countries? In contrast to most literature, which emphasizes the role of ideas and institutions, this article focuses on electoral politics and argues that aging leads to lower inflation rates. Countries with a larger share of elderly exhibit lower inflation because older people are both more inflation averse and politically powerful, forcing parties seeking their votes to pursue lower inflation. Logistic regression analysis of survey data confirms that older people are more inflation averse and more likely to punish incumbents at the ballot box for inflation. Panel data regression analysis shows that social democratic parties have more economically orthodox manifestos in European countries with more elderly people, and that the share of elderly is negatively correlated with inflation in both a sample of 21 advanced economies and a larger sample of 175 countries. Aging therefore pushes governments to pursue lower inflation.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI STRUKTUR MODAL PADA PERUSAHAAN TEKSTIL DAN GARMEN YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) PERIODE 2014-2016

2020 ◽  
Vol 8 (2) ◽  
pp. 248
Author(s):  
Nico Anangsyah ◽  
Desta Rizky Kusuma
Keyword(s):  
Regression Analysis ◽  
Capital Structure ◽  
Stock Exchange ◽  
Company Size ◽  
Sales Growth ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression ◽  
Positive Effect ◽  
The Capital Structure

This study aims to determine the analysis of factors affect the capital structure of registered textile and garment companies on the Indonesia Stock Exchange (IDX) for the 2014-2016 period. Variables in this study namely Profitability (ROA), Asset Structure (SA), Sales Growth (PP) and Company Size (SIZE) and Capital Structure (DER). The population in this study is the Textile and Garment company listed on the Indonesia Stock Exchange (IDX) as many as 17 companies later 15 companies were sampled using a purposive technique sampling. The analysis technique used is panel data regression analysis with comparison of t-statistics with t-tables. The results of this study indicate that profitability (ROA) is not positive effect on Capital Structure (DER), t-statistic of 1.386407. Asset Structure (SA) has no positive effect on Capital Structure (DER), statistic equal to 0.296574. Sales Growth (PP) influences positive for Capital Structure (DER), the statistic is 1.873566. Size The company (SIZE) does not have a positive effect on the Capital Structure (DER), statistic at 0.570955.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PEMBIAYAAN MURABAHAH DAN PENGARUHNYA TERHADAP RETURN ON ASSET (ROA)

Performance ◽  
2017 ◽  
Vol 24 (1) ◽  
pp. 74
Author(s):  
Firmansyah Romadhona
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Sampling Method ◽  
Operating Income ◽  
Purposive Sampling ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

This research is an analysis on Sharia Rural Banking (BPRS) Listed on Otoritas Jasa Keuangan website (www.ojk.go.id) during Year 2012 – 2015. The research entitled “Analysis variables that influence Murabahah Financing and influence to Return on Asset (Study on Sharia Rural Banking  on Indonesia during Year 2012 – 2015)”. The purpose of this research is to analyze the influence of non performing financing, wadiah savings, financing to deposit ratio, operating expenses operating income toward murabahah financing and influence to return on asset. This research used panel data regression analysis as model to test the hypothesis. The population in this research was Sharia Rural Banking (BPRS) on Indonesia during Year 2012 – 2015 consisting of 168 banks. While the samples of this research were taken by purposive sampling method which were 25 banks. The result of this research showed that: (1) non performing financing has no effect toward murabahah financing, (2) wadiah savings had positive effect toward murabahah financing, (3) financing to deposit ratio has no effect toward murabahah financing, (4 operating expenses operating income had negative effect toward murabahah financing, (5 murabahah financing had positive effect toward return on asset. Implication based on result of this research was the management need to increase wadiah savings and need to decrease operating expenses operating income because it can increase the murabahah financing. The management also needs to increase murabahah financing, because it is in this research is proven to increase the return on asset.

Analisa Ketimpangan Pembangunan Ekonomi Pada Setiap Sektor Kecamatan Di Kabupaten Cilacap Tahun 2013-2018

CICES ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 159-170
Author(s):  
Sendy Zul Friandi ◽  
Adinda Heryuningtyas ◽  
Anggi Rechandini
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Population Growth ◽  
Level Of Education ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression ◽  
Poor Families ◽  
Positive Effect

The research aims to: 1) Be able to know about the development of economic development in each sub-sector starting from 2013 to 2018. 2) Can know the role of the component influence on regional share growth towards the imbalance of economic development in each sub-sector of the district 3) Can know the role of the component influence on proportional shift growth towards the imbalance of economic development in each sector of the sub-district. 4) Can know the role of component influence on the competitive shift growth in economic development imbalances in each sector of the sub-district. 5) Can know the role of the influence of the number of population with the level of education of High School and Higher Education towards the imbalance of economic development in each sector of the sub-district. 6) Can know the effect of the total number of poor families on the imbalance of economic development in each sector of the sub-district. 7) Can know the effect of migration population growth on the imbalance of economic development in each sector of the sub-district.This research is also a descriptive and quantitative study. The data used in this study were secondary data types from 24 sub-districts in Cilacap Kabupaten taken in 2013-2018. The analysis technique that I use for the descriptive analysis method is using the Klassen Tipology matrix, while the quantitative analysis technique that I use to process panel data regression analysis is the Fixed Effect model.The results of this study can show that: 1) Based on Klassen's Tipology, not all sub-districts can experience positive development of economic development, because there are ten sub-districts that have declined to become negative fluctuating regions and have declined to relatively lagging regions. 2) Analysis using panel data regression can show regional share growth component variables that are not included or omitted from a model. 3) Component variable proportional shift growth does not only significantly influence the imbalance of economic development in the sub-district sector. 4) Variable components of competitive shift growth are seen to have a significant and positive effect on the inequality of economic development in the sub-district sector. 5) Variable number of population with the level of education of senior secondary and tertiary education has a significant and positive effect on the imbalance of economic development in the sub-district sector. 6) Variables of the number of poor families can have a significant and negative effect on the imbalance of economic development in the sub-district sector. 7) Variable migration population growth does not significantly influence the imbalance of economic development in the sub-district sector.

scholarly journals Faktor-Faktor yang Mempengaruhi Perubahan Deposito Mudharabah (Studi Empiris Pada Bank Umum Syariah di Indonesia)

2020 ◽  
Vol 3 (1) ◽  
pp. 49
Author(s):  
Dinna Miftakhul Jannah ◽  
Tettet Fitrijanti ◽  
Zaldy Adrianto
Keyword(s):  
Regression Analysis ◽  
Interest Rate ◽  
Interest Rates ◽  
Rate Of Return ◽  
Analysis Method ◽  
Panel Data Regression ◽  
Data Regression ◽  
Independent Variable ◽  
The Interest Rate ◽  
Positive Effect

<p>This study aims to examine the factors influencing the changes of mudharabah deposit in Islamic banks in Indonesian during the period of 2014-2018. The dependent variable used in this research is mudharabah deposit in the Islamic bank. The independent variable in this research is financing to deposit ratio (FDR), nonperforming financing (NPF), bank size, interest rate, and rate of return is moderating variable. The sample used in this study is all Islamic Commercial Banks in Indonesia in 2014-2018. The data analysis method used in this study is panel data regression analysis and moderated regression analysis. The results showed that simultaneously financing to deposit ratio, nonperforming financing, bank size, interest rate, and rate of return is moderating variable influenced mudharabah deposit. The results showed that partially financing to deposit ratio and bank size have a significant positive effect on mudharabah deposits. Nonperforming financing variable and interest rates have no significant effect on mudharabah deposits. The rate of return variable as a moderating variable has no significant effect relationship between the interest rate and mudharabah deposits.</p>

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Kebijakan Hutang

2020 ◽  
Vol 5 (2) ◽  
pp. 83
Author(s):  
Suci Meta Saputri ◽  
Widi Hariyanti ◽  
Yunus Harjito
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Sampling Method ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression ◽  
Negative Effect ◽  
Company Growth ◽  
Debt Policy ◽  
Positive Effect

This study aims to analyze the effect of profitability, liquidity, asset structure and company growth on debt policy. The sample in this study amounted to 490 samples obtained from 98 companies for 5 years with purposive sampling method. The data analysis technique used in this research is panel data regression analysis technique which is processed using Eviews 9 software.The results show that profitability and liquidity have a negative effect on debt policy, while asset structure has no effect on debt policy, and company growth has a positive effect on debt policy. debt policy.

scholarly journals PENGARUH GOOD CORPORATE GOVERNANCE DAN LEVERAGE TERHADAP KINERJA KEUANGAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

2019 ◽  
Author(s):  
Elvina Agustin ◽  
Aminar Sutra Dewi
Keyword(s):  
Corporate Governance ◽  
Regression Analysis ◽  
Financial Performance ◽  
Audit Committee ◽  
Hypothesis Test ◽  
Secondary Data ◽  
Good Corporate Governance ◽  
Panel Data Regression ◽  
Data Regression

The financial performance of State-Owned Enterprises has decreased from 2015 to Q1 2016 because of rising NPLs or bad loans. The role of the organization in the company will give effect to the financial performance. This study aims to determine the influence of the Board of Commissioners, Audit Committee, and Leverage on Performance Banking finance. The sample used is the financial sector companies in the year 20012-2016 amounted to 45 samples. The type of data used is secondary data. The hypothesis in this research is tested by using panel data regression analysis. The result of the hypothesis test shows that the board of commissioners has negative and insignificant effect, the audit committee has positive and insignificant impact on the company's financial performance (ROA). Leverage has a negative and insignificant impact on ROA.

scholarly journals Does Labor Union Utility Increase Workers’ Organizational Commitment and Job Satisfaction? The Moderating Role of Labor Union Membership

2018 ◽  
Vol 4 ◽  
pp. 237802311881343
Author(s):  
Intae Choi
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Organizational Commitment ◽  
Panel Data ◽  
Labor Union ◽  
Panel Study ◽  
Panel Data Regression ◽  
Data Regression ◽  
Moderating Role

The purpose of this study is to address whether labor union members’ organizational commitment and job satisfaction are more influenced by labor union utility than those of nonunion employees. This study uses data from the Korean Labor and Income Panel Study published by the Korea Labor Institute. The study’s methodology employs panel data regression analysis. The findings are that labor union utility increases workers’ organizational commitment and job satisfaction and that these effects are positively greater for labor union members than nonunion employees.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI SISA HASIL USAHA (SHU) PADA KOPERASI SYARIAH DI SURABAYA PADA PERIODE TAHUN 2014-2018

2020 ◽  
Vol 6 (9) ◽  
pp. 1862
Author(s):  
Anindya Nur Hidayati ◽  
Dian Filianti
Keyword(s):  
Regression Analysis ◽  
Variable Number ◽  
Significant Positive Effect ◽  
Analysis Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
External Capital ◽  
The Subject ◽  
Positive Effect ◽  
Annual Period

This study aims to analyze the influence of the number of members, own capital, and External capital on the Remaining Business Result (SHU) in Islamic cooperatives in Surabaya for the period 2014-2018. This study uses a quantitative approach. The subject used is the Sharia Cooperative in the Surabaya area with an annual period of 2014-2018. The method used in this study is a panel data regression analysis model that is processed using Stata software. Based on the results of the analysis it is shown that the variable number of members and own capital partially have a significant positive effect on SHU. Whereas,External capital has a negative significant effect on SHU. Nevertheless, simultaneously the number of members, own capital, and External capital have a significant effect on the Remaining Business Result (SHU).Keywords: Remaining Business Result (SHU), Number of Members, Own Capital, External Capital

scholarly journals The Determination of Concentration and Type of Ownership on Bank Performance and Risks in Indonesia

Society ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 191-203
Author(s):  
Yacobo P Sijabat ◽  
Michael Jeffri Sinabutar ◽  
Heni Hirawati ◽  
Axel Giovanni
Keyword(s):  
Regression Analysis ◽  
Stock Exchange ◽  
Foreign Ownership ◽  
Ownership Concentration ◽  
Bank Performance ◽  
Panel Data Regression ◽  
Data Regression ◽  
Bank Risks ◽  
Positive Effect

This research aims to examine the determination of concentration and type of ownership on the performance and risks of banks listed on the Indonesia Stock Exchange (IDX) for the period 2000-2018. This research was quantitative research using panel data regression analysis methods. The main characteristic of panel data regression analysis is the use of the Hausman test. Data were obtained and collaborated from several data providers such as Osiris, Bloomberg, and the Financial Services Authority (Otoritas Jasa Keuangan or OJK) website. Secondary data were collected from 42 banks listed on the Indonesia Stock Exchange (IDX) using a purposive sampling technique. The data was processed using Stata software. The ownership concentration was measured using the Herfindahl-Hirschman Index (HHI) and foreign and domestic ownership as the proxy using the dummy variable. To measure bank performance, this research was used ROA and ROE proxy while the standard deviation of returns was used to measure bank risks. The results of the research showed that there was no effect of ownership concentration on bank performance. Also, domestic ownership has a positive effect on bank performance. In terms of risks, ownership concentration has a positive effect on bank risks. The more concentrated the ownership of the bank, the bank will more at risks. Besides, foreign and domestic ownership affects bank risks. Foreign ownership has a positive effect on bank risks. The level of foreign ownership of the bank affects bank risks. High foreign ownership puts the bank at risk.

Sign in / Sign up

Export Citation Format

Share Document