scholarly journals PENGARUH TIPE PEMISAHAN TERHADAP PENYALURAN PEMBIAYAAN PADA BANK UMUM SYARIAH HASIL PEMISAHAN

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
M Nur Rianto Al Arif
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Business Unit ◽  
Effect Model ◽  
Analysis Technique ◽  
The Impact

The Islamic business unit spinoff has taken two forms such as pure spinoff and spinoff withacquisition, convert, and merger. The objective of this research is to analyze the impact ofspinoff type to financing in spinoffs banks. The analysis technique that used in this paper ispanel regression with random effect model. The result shows that the spinoff type didn’t havean influence to financing in spinoffs banks. The implication of this result is the spinoffs typedecision depend on business consideration that the most useful and practice.

scholarly journals Analysis Of Effect Of ZIS (Zakat, Infaq, And Shadaqah), Regional Domestic Products Of Bruto, Regional Minimum Wage And Inflation On Levels Poverty In Indonesia 2012 – 2016

2019 ◽  
Vol 2 (2) ◽  
pp. 193-211
Author(s):  
Fiky Nila Mustika ◽  
Eni Setyowati ◽  
Azhar Alam
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Minimum Wages ◽  
Effect Model ◽  
Panel Data Regression ◽  
The Impact ◽  
Poverty Levels ◽  
Domestic Products

This study investigated the impact of ZIS (Zakat, Infaq, and Sadaqah) Gross Regional Domestic Products, Regional Minimum Wages, and Inflation on Poverty Levels in Indonesia during the 2012-2016 period. .This paper used secondary data in the panel data form. This research conducted a quantitative approach using panel data regression. Based on the results of the panel data testing, the best model chosen is the Random Effect Model (REM). Variables of gross regional domestic products and regional minimum wages have a significant effect on poverty levels in Indonesia while the variables of zakat, infaq, and shadaqah (ZIS) and inflation do not influence the level of poverty in Indonesia.

scholarly journals PENGARUH STRUKTUR DAN KONSENTRASI KEPEMILIKAN, MODEL BANK PADA KINERJA PERBANKAN

2020 ◽  
Vol 5 (2) ◽  
pp. 162
Author(s):  
Nadya Dianitasari ◽  
Hersugondo Hersugondo
Keyword(s):  
Financial Performance ◽  
Random Effect ◽  
Random Effect Model ◽  
State Ownership ◽  
Ownership Concentration ◽  
Return On Assets ◽  
Purposive Sampling ◽  
Effect Model ◽  
Analysis Technique ◽  
Model Bank

<p><em>This study aims to analyze the effect of banks model, the different types of ownership, and ownership concentration on bank financial performance. State ownership, domestic ownership and foreign ownersip were used as the ownership indicators and Return On Asset (ROA) ratio were used as the proxied of financial performance. The Population that was used in this research consisted of all conventional and islamic commercial banks which is listed in Directory of Indonesian Banking 2018 and published the financial statements during 2014-2019. After passed the purposive sampling method there were 94 banks obtained as samples. The data analysis technique used is descriptive statistic, classical assumption test and panel regression test with random effect model. The result of this research showed that banks model and state ownership have positively significant impact on ROA and foreign ownership has negatively significant impact while domestic ownership and ownership concentration have insignificantly impact on bank financial performance</em></p><p><em><br /></em></p><p><em>Penelitian ini memiliki tujuan yaitu untuk menganalisis pengaruh struktur kepemilikan bank yang terdiri dari kepemilikan pemerintah, domestik dan asing, lalu model bank dan konsentrasi kepemilikan terhadap kinerja keuangan perbankan. Kinerja keuangan tersebut diukur dengan rasio profitabilitas yang diproksikan dengan Return On Assets (ROA). Populasi penelitian yang digunakan adalah bank umum syariah dan konvensional di Indonesia yang terdapat pada daftar Direktori Perbankan tahun 2018. Penelitian ini menggunakan sejumlah 94 sampel dengan metode purposive sampling. Metode analisis yang digunakan pada penelitian ini adalah statistik deskriptif, uji asumsi klasik dan regresi data panel dengan model efek random. Hasil yang didapat pada penelitian ini menunjukkan bahwa model bank dan kepemilikan pemerintah berpengaruh positif signifikan terhadap ROA dan kepemilikan asing berpengaruh negatif signifikan, sedangkan kepemilikan domestik dan konsentrasi kepemilikan tidak berpengaruh signifikan terhadap kinerja bank.</em></p>

scholarly journals An Empirical Study on the Effect of Agricultural Infrastructure Investment on Economic Growth

2021 ◽  
Vol 275 ◽  
pp. 01004
Author(s):  
Liu Ran
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Random Effect ◽  
Random Effect Model ◽  
Infrastructure Investment ◽  
National Bureau ◽  
Agricultural Field ◽  
Effect Model ◽  
New Development ◽  
The Impact

In this paper, using the panel data of the National Bureau of Statistics database from 2010 to 2019, and using the random effect model, we studied the impact of agricultural infrastructure investment on economic growth. The empirical results show that the investment in agricultural infrastructure can significantly improve the national economy, among which the investment in new infrastructure promotes the economic growth to a certain extent. After comparing the eastern, central and western regions, it is found that the investment in agricultural infrastructure in the western region contributes more to the economic growth, and the statistical results are more significant. Based on the analysis of the role of agricultural infrastructure investment in promoting economic growth, this paper will further discuss the relevant suggestions of the “two new and one heavy” policy in the agricultural field, and promote the adjustment of agricultural industrial structure with the improvement of agricultural infrastructure, and promote the formation of a new development pattern of “double circulation”.

scholarly journals Konektivitas Pelabuhan Dan Pembangunan Ekonomi Daerah Provinsi Maluku Utara

2019 ◽  
Vol 2 (2) ◽  
pp. 34-41
Author(s):  
Yetty Yetty ◽  
Abdurrahman Senuk ◽  
Chairullah Amin
Keyword(s):  
Economic Development ◽  
Local Economic Development ◽  
Local Development ◽  
Random Effect ◽  
Random Effect Model ◽  
Container Port ◽  
Effect Model ◽  
Port Throughput ◽  
Development Approach ◽  
The Impact

The local development approach based on islands is different with the developing of land area. The natural limitations possessed by the islands region that constrained by some characteristics such as isolation, smallness, boundless, and fragmentation. The study analyzes the impact of port connectivity to the local economic development by taking the case in the island province (North Maluku) in east Indonesia. The analysis method using the panel data model of 9 residences in period 2010-2016 in which the indicators that used are GDP, roadway, port throughput, economic density, and also container port, sea-tollway as the dummy variables. According to the common effect, model shows that all independent variables have a significant influence on the GDP except roadway. While based on Hausman test suggest that random effect model is more appropriated than FEM of which the result shows that container port and sea-tollway have not a significant impact on the GDP. These results implied that the policy of port connectivity within sea-tollway is not effective to improve the local economic development in particular in the islands based on region.

scholarly journals The Impact of Dementia on the Clinical Outcome of COVID-19: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 78 (4) ◽  
pp. 1775-1782
Author(s):  
Nanyang Liu ◽  
Jiahui Sun ◽  
Xiyuan Wang ◽  
Ming Zhao ◽  
Qianqian Huang ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Dementia Patients ◽  
Effect Model ◽  
Incidence And Mortality ◽  
High Risk Factor ◽  
The Impact ◽  
Substantial Heterogeneity ◽  
Significant Publication Bias

Background: The emergence of the coronavirus disease 2019 (COVID-19) has brought large challenges to dementia patients. We reviewed the existing literature on COVID-19 to assess the incidence and mortality of dementia comorbidities in COVID-19 patients. Objective: To investigate the impact of pre-existing dementia comorbidities on COVID-19. Methods: We searched the PubMed, Embase, and Web of Science databases for patients with preexisting dementia who were diagnosed with COVID-19. The statistical data on the prevalence and mortality of dementia comorbidities were examined. A fixed-or random-effect model was used to calculate the overall pooled risk estimates. Forest plots were generated to show the summarized results. Results: A total of 265 articles were retrieved from the three databases. After removing duplicates and performing two screenings, 10 articles were selected for meta-analysis, including 119,218 participants. Overall, the meta-analysis of the 10 studies showed that the incidence of dementia in COVID-19 patients was (R: 9%, [95% CI: 6% to 13%]). Moreover, the meta-analysis of 9 studies showed that the mortality rate of individuals with dementia after being infected with COVID-19 was higher than that of individuals with no dementia (OR: 5.17 [95% CI: 2.31 to 11.59]). Substantial heterogeneity was observed in this meta-analysis. Significant publication bias was also found. Conclusion: Emerging literature shows that dementia comorbidities are a high risk factor for the prevalence and mortality of COVID-19. Our results should have an impact on preventive interventions and encourage more targeted approaches to prioritize older people with specific risk factors, such as dementia.

scholarly journals The Impact of Village Fund Program in Developing Physical Infrastructure: Case on Construction Value Across Provinces in Indonesia

Media Trend ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. 194-200
Author(s):  
Mochamad Thoriq Akbar ◽  
Estro Dariatno Sihaloho
Keyword(s):  
Construction Industry ◽  
Random Effect ◽  
Random Effect Model ◽  
Control Variable ◽  
Marginal Effect ◽  
Construction Sector ◽  
Indonesian Government ◽  
Effect Model ◽  
Physical Infrastructure ◽  
The Impact

Indonesia is the largest archipelago country with over than 260 million population. Yet, its archipelagic state makes it hard for the Indonesian government to distribute its income equally, causing severe poverty in certain regions. To overcome this problem, the role of construction industry is very crucial. Many papers say construction industry plays an important role to achieve socio-economic development goals in providing shelter, physical infrastructure, employment, and higher economic growth. Knowing the importance of construction sector, especially in physical infrastructure, President of Indonesia, Joko Widodo, focuses on accelerating infrastructure development. To equally distribute the development between rural and urban areas and shorten the level of inequality, in 2015 Indonesian government made a program in a form of fiscal transfers called Village Fund program. The objective of this paper is to measure the impact of Village Fund program in developing physical infrastructure across provinces in Indonesia. This paper used panel data with Random Effect Model to analyze the marginal effect of Village Fund in construction sector. The finished construction value is used as the dependent variable. As the independent variable, this paper uses the amount of Village Fund given and Gross Domestic Regional Product (GRDP) as the control variable in 33 provinces that participated in Village Fund program during 2015 and 2016. Setting with α = 0.01, the result shows that Village Fund program has a marginal positive effect to finished construction value. Every one percentage point change in Village Fund increases the amount of construction value finished by 0.033%. For the other variable, every 1% increase in GRDP also increase the construction value by 0.41%. We hope this paper could be useful to evaluate the implementation of Village Fund and as a base for making similar policies in the future. Keywords: Village Fund, Construction Value, Infrastructure, GRDP, Random Effect Model 

scholarly journals pengaruh ukuran perusahaan, profitabilitas, solvabilitas dan aerning variability terhadap kebijakan dividen perusahaan manufaktur di daftar efek syariah (DES) periode 2012-2017

2020 ◽  
Vol 6 (10) ◽  
pp. 2126
Author(s):  
Nanda Shelia ◽  
Ari Prasetyo
Keyword(s):  
Firm Size ◽  
Dividend Policy ◽  
Random Effect ◽  
Random Effect Model ◽  
Manufacturing Companies ◽  
Estimation Model ◽  
Statistical Tool ◽  
Effect Model ◽  
Analysis Technique ◽  
Manufacturing Company

This study aims to determine the effect of firm size, profitability, solvency and earnings variability to dividend policy of Manufacturing Companies in Daftar aefek Syariah (DES) period 2012-2017.This research uses quantitative approach with panel data regression analysis technique. Statistical tool used is software Stata (Statistics and Data) 14. Population in this research is a manufacturing company in Daftar Efek Syariah (DES). The sample used in this study are 19 manufacturing companies in the Daftar Efek Syariah (DES). The observation period of the study starts from 2012 to 2017. Based on the best estimation model, Random Effect Model (REM) shows that firm size, profitability, solvency and earning variability variables influence simultaneously and significantly to dividend policy of manufacturing company in Daftar Efek Syariah (DES). Partially variable of firm size and earning variability have positive and significant impact, solvability variable have a negative and significant impact, and profitability variable have an insignificant impact to dividend policy of manufacturing company in Daftar Efek Syariah (DES) period 2012-2017.Keywords: Dividend Policy, Company Size, Profitability, Solvency, Earning Variability

scholarly journals Pengaruh Pendidikan, Pengangguran, dan Kemiskinan terhadap Ketimpangan Pendapatan di Indonesia

2019 ◽  
Vol 8 (3) ◽  
pp. 250
Author(s):  
Hindun Hindun ◽  
Ady Soejoto ◽  
Hariyati Hariyati
Keyword(s):  
Data Analysis ◽  
Income Inequality ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Ministry Of Education ◽  
Effect Model ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression

This research aims to analyze the effect of education, unemployment, and poverty on income inequality in Indonesia, both partially and simultaneously. This research uses secondary data with a quantitative approach. The type of research used is the type of associative research. The variables in this study are education, unemployment, poverty, and income inequality — data source from BPS and the Ministry of Education and Culture. The data analysis technique used is panel data regression analysis with cross-section 34 provinces and time series for 2015-2018. The results of the research obtained the random effect model, the best models. The results of data analysis show that education and poverty had a partial effect on income inequality in Indonesia, while unemployment had not to affect income inequality. Simultaneously, education, unemployment, and poverty affect income inequality in Indonesia. However, education, unemployment, and poverty can only explain 22.37% of the effect on income inequality in Indonesia. The rest is influenced by factors outside the model.

scholarly journals Does Industrial Air Pollution Increase Health Care Expenditure? Evidence From China

2021 ◽  
Vol 9 ◽  
Author(s):  
Jin-Sheng Shen ◽  
Qun Wang ◽  
Han-Pu Shen
Keyword(s):  
Health Care ◽  
Air Pollution ◽  
Health Care Expenditure ◽  
Random Effect ◽  
Random Effect Model ◽  
Medical Expenditure ◽  
Added Value ◽  
Western China ◽  
Effect Model ◽  
The Impact

This paper discusses the impact of air pollution on medical expenditure in eastern, central, and western China by applying the fixed-effect model, random-effect model, and panel threshold regression model. According to theoretical and empirical analyses, there are different relationships between the two indexes in different regions of China. For eastern and central regions, it is obvious that the more serious the air pollution is, the more medical expenses there are. However, there is a non-linear single threshold effect between air pollution and health care expenditure in the western region. When air pollution is lower than this value, there is a negative correlation between them. Conversely, the health care expenditure increases with the aggravation of air pollution, but the added value is not enough to make up for the health problems caused by air pollution. The empirical results are basically consistent with the theoretical analysis, which can provide enlightenment for the government to consider the role of air pollution in medical expenditure. Policymakers should arrange the medical budget reasonably, according to its situation, to make up for the loss caused by air pollution.

scholarly journals PENGARUH BELANJA PEMERINTAH PUSAT TERHADAP PENERIMAAN NEGARA BUKAN PAJAK PADA KEMENTERIAN NEGARA/LEMBAGA PERIODE 2012-2017

2021 ◽  
Vol 6 (3) ◽  
pp. 227-245
Author(s):  
Puji Wibowo ◽  
Yoopi Abimanyu ◽  
Heri Syafardi ◽  
Muhadi Prabowo ◽  
Iin Indrawati
Keyword(s):  
Panel Data ◽  
Central Government ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Tax Revenue ◽  
Purposive Sampling ◽  
Goods And Services ◽  
Effect Model ◽  
The Impact

Various studies evaluate the impact of budget on government revenue at sub national levels. There are few empirical findings that show how central government budget may influence federal revenue collected by ministries. This study aims to investigate the budget impact of non tax revenue across Indonesian line ministries/agencies in the 2012-2017 period prior to the implementation of Act 9 Year 2018 concerning Non Tax Revenue. By using purposive sampling method, we found there were 24 government institutions observed in this study. We conducted granger causality and panel data analysis by adopting random effect model to examine the effect of goods and services expenditure, capital expenditure, and employee expenditure on non-tax revenue. It is concluded that only government spending on goods and services significantly affects on non-tax revenue performance, while the two other variables have no impacts. Abstrak Sejumlah riset telah dilakukan untuk menguji pengaruh anggaran belanja terhadap pendapatan pemerintah pada level pemerintahan daerah. Sampai saat masih sedikit bukti yang mengungkapkan adanya pengaruh alokasi anggaran belanja pemerintah pusat terhadap pendapatan yang diperoleh Kementerian Negara/Lembaga (K/L). Riset ini bertujuan untuk mengungkapkan pengaruh alokasi anggaran terhadap realisasi Penerimaan Negara Bukan Pajak (PNBP) pada K/L selama periode 2012-2017, sebelum pemberlakuan UU Nomor 9 Tahun 2018 tentang Penerimaan Negara Bukan Pajak. Metode pengambilan sampel yang digunakan adalah purposive sampling, diperoleh 24 instansi pemerintah sebagai objek penelitian. Dengan menggunakan analisis granger dan panel data dengan pendekatan random effect model, penelitian ini menguji pengaruh belanja barang, belanja modal, dan belanja pegawai terhadap kinerja PNBP. Hasil studi ini menyimpulkan bahwa belanja barang berpengaruh signifikan terhadap capaian realisasi PNBP pada K/L, sementara kedua variabel belanja yang lain tidak berdampak signifikan  

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