scholarly journals ANALISIS PENGARUH INFRASTRUKTUR EKONOMI DAN UPAH TERHADAP PENANAMAN MODAL ASING DI PULAU SUMATERA

2019 ◽  
Vol 1 (3) ◽  
pp. 887
Author(s):  
Sonia Pratiwi ◽  
Mike Triani
Keyword(s):  
Foreign Investment ◽  
Direct Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Panel Regression ◽  
Road Infrastructure ◽  
Effect Model ◽  
Telecommunication Infrastructure ◽  
The Impact ◽  
Electricity Infrastructure

This study aims to find out and analyze: (1) The impact road infrastructure on FDI in Sumatera Island. (2) The impact of electricity infrastructure on FDI in Sumatera Island. (3)The impact of telecommunication infrastructure on FDI in Sumatera Island (4) The impact of wage on foreign direct investment in Sumatera Island. (5) The impact of road infrastructure, electricity infrastructure, telecommunication infrastructure  and wage on FDI in Sumatera Island. This study used a panel regression analysis with model selected is the Random Effect Model (REM). The results of this study indicate that (1) Road Infrastructure has no impact on FDI in Sumatera Island. (2) Electricity infrastructure has an impact on FDI in Sumatera Island. (3) Telecommunication infrastructure has an impact on foreign investment in Sumatera Island. (4) Wage has no impact on FDI in Sumatera Island, while (5) Together road infrastructure, electricity infrastructure, telecommunication infrastructure and wage has an impact on FDI in Sumatera Island.

scholarly journals IMPACT OF CAPITAL STRUCTURE ON PROFITABILITY AND EARNINGS OF THE FIRM; A STUDY ON PAKISTANI COMPANIES FROM DIFFERENT SECTORS

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Aamir Ali
Keyword(s):  
Capital Structure ◽  
Random Effect ◽  
Random Effect Model ◽  
Panel Regression ◽  
Public And Private ◽  
Policy Makers ◽  
Hausman Test ◽  
Effect Model ◽  
Public And Private Sector ◽  
The Impact

Capital structure is the driver of profitability and earnings of any company; therefore the impact of capital structure is analyzed in companies selected from different sectors of Pakistan including public and private sector. The financial data of 22 companies have been observed from 2010-2015. Eviews 8 has been used to analyze the panel regression. The Hausman test confirms that random effect model is appropriate for both ROE and EPS. Findings reveal that DE is insignificantly negatively related to ROE but significantly positively related to EPS where DA is insignificantly positively related to ROE but significantly negatively related to EPS. The policy makers of sample companies should consider the impact of capital structure on EPS.

scholarly journals Penanaman modal asing dan demokrasi: analisis data panel Provinsi-Provinsi di Indonesia

2021 ◽  
Vol 16 (2) ◽  
pp. 335-342
Author(s):  
Dolly Hazmi ◽  
Fitri Ayu ◽  
Neng Kamarni
Keyword(s):  
Foreign Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Investment ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Investment Capacity ◽  
The Impact

Foreign investment is very important for developing countries in economic development because of the low domestic investment capacity. Democracy is considered as one of the aspects that has an impact on investment, although there is still debate as to whether the impact is positive, negative, or neutral. Many other factors influence the inflow of foreign investment into a country, including the size of the economy, the level of wages, domestic investment, and the quality of human resources. Using a panel data regression analysis of provinces in Indonesia with a random effect model, we try to look at the factors that influence foreign investment inflows to Indonesia. We find that the democracy index in Indonesia's provinces does not affect foreign investment inflows  

Pengaruh Pertumbuhan Ekonomi, Foreign Direct Investment dan Tax Rate Terhadap Penerimaan PPh Badan Negara ASEAN

2020 ◽  
Vol 5 (4) ◽  
pp. 325-342
Author(s):  
Merry Inriama ◽  
Milla Sepliana Setyowati
Keyword(s):  
Foreign Direct Investment ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Domestic Product ◽  
Tax Rate ◽  
Effect Model

Keterbukaan perekonomian menjadi penentu yang penting dalam pertumbuhan ekonomi. Kondisi perekonomian suatu negara dapat memberi dampak terhadap penerimaan sektor perpajakan. Hal ini dapat dilihat dari salah satu penerimaan pajak suatu negara yaitu melalui penerimaan PPh Badan. Tujuan dalam penelitian ini adalah untuk menganalisis pengaruh pertumbuhan ekonomi yang diukur dengan Gross Domestic Product (GDP), Foreign Direct Investment (FDI), dan Tax Rate terhadap besarnya penerimaan PPh Badan (CIT) dalam kasus lima negara ASEAN selama periode 1999-2018. Metode penelitian ini dilakukan dengan menggunakan regresi data panel dengan estimasi Random Effect Model atau Generalized Least Square (GLS) dengan program Eviews. Hasil penelitian ini secara simultan menunjukkan bahwa variabel independen yaitu GDP, FDI, dan tax rate memiliki pengaruh yang signifikan terhadap variabel dependen yaitu penerimaan PPh Badan (CIT). Secara parsial PDB dan tax rate memiliki pengaruh positif dan signifikan yang artinya kenaikan atau penurunan GDP dan tax rate akan mempengaruhi kenaikan atau penurunan penerimaan PPh Badan (CIT), sedangkan FDI tidak memiliki pengaruh terhadap penerimaan PPh Badan (CIT). Melalui penelitian ini diharapkan dapat mengukur variabel-variabel yang memiliki pengaruh terhadap penerimaan PPh Badan, sehingga penerimaan PPh Badan dapat ditingkatkan.

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 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 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.

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