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 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 Research on the Economic Impact of Shandong Expressway Development

2021 ◽  
Vol 2 (1) ◽  
Keyword(s):  
Capital Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Highway Construction ◽  
Spatial Effect ◽  
Shandong Province ◽  
Hausman Test ◽  
Explanatory Variables ◽  
Effect Model ◽  
The Impact

By obtaining the panel data of 16prefecture-level cities in Shandong Province from 2005 to 2018 for 14 years, this paper selects Shandong highway mileage as the core explanatory variable, GDP as the explained variable, urbanization rate, passenger volume, freight volume, government participation and fixed capital investment level as other explanatory variables, and adds economic lag effect on this basis. The fixed effect model or random effect model is tested according to the modified Hausman test. In order to make the results more accurate and reliable, the data are tested and corrected by inter-group heteroscedasticity, intra-group autocorrelation, cross-sectional correlation and multiple collinearity, and the spatial effect of Shandong economy is tested by Moran index. In-depth verification of the impact of highway construction on the economy of Shandong Province. The results show that the random effect model has passed the Hausman test. The revised model shows that highway construction has a positive effect on the overall economy of Shandong Province, and other explanatory variables also have varying degrees of pulling effect on the economy, but the spatial effect of economy is not significant, which provides a reference basis and example verification for highway construction in the future. To better promote the close ties between the regions of Shandong Province and make contributions to economic development.

scholarly journals The Impact of Insurance Company's Profitability on the Economic Growth

2019 ◽  
Vol 8 (6S3) ◽  
pp. 693-699
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Negative Impact ◽  
Positive Impact ◽  
Random Effect ◽  
Random Effect Model ◽  
Hausman Test ◽  
Return On Equity ◽  
Effect Model ◽  
The Impact

This paper investigates the impact of Jordanian insurance company's profitability on the economic growth during the period 2007-2016. Regression analysis using random effect model was adopted after applying Hausman test. The results reveals that earning per share, and net realized premiums to shareholders equity have a negative impact on the economic growth, also a significant positive impact for the return on equity on the economic growth has been founded. According to the results the study recommended to encourage individuals and investors to participate in insurance in various fields.

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 WHETHER FDI OR EXPORTS ENHANCE INNOVATION: EVIDENCE FROM INDIAN MANUFACTURING FIRMS, 2001-2012

2017 ◽  
Vol 26 (3) ◽  
pp. 19-32
Author(s):  
Krishan SINGH ◽  
Dr. Sandeep Kaur BHATIA
Keyword(s):  
Manufacturing Sector ◽  
Fixed Effect Model ◽  
Manufacturing Firms ◽  
Capital Inflows ◽  
Public And Private ◽  
Effect Model ◽  
Foreign Capital Inflows ◽  
Indian Manufacturing Sector ◽  
Public And Private Sector ◽  
The Impact

The economic reforms of 1991 resulted in an increased inflow of FDI into theIndian economy. However, for the invention of new techniques and skills, there is a greatneed to invest on R&D, requires a huge amount of capital, which can be available throughFDI inflows. Technology has been imported in heavy amount after the implementation ofliberalization policies. Therefore, the present study intends to know whether FDIcontributes to the Indian manufacturing sector through R&D or not. The average growthof the manufacturing sector in India (7.93 per cent) has been found considerably higherduring the second decade of reforms (2001-2012) as compared to first decade reforms(1991-2000). In the context of this, the present study has tried to examine the trends andpatterns of FDI and R&D in manufacturing firms of India during the second decade ofreforms (2001-12) and also, to analyze the impact of FDI and exports on R&D inmanufacturing firms of India through fixed effect model. The results suggest that R&D hasbeen significantly impacted by the import of capital goods, foreign equity, disembodiedtechnology, and export intensity during the second decade of liberalization period. Thepresent study suggests that greater approvals for foreign capital inflows are required inIndia, for enhancing the R&D in the manufacturing sector. There must be an appropriatecoordination between public and private sector, which can improve the R&D expenditureof manufacturing firms of India.

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 Effects of Capital Structure on Financial Performance of Insurance Companies in Nepal

2020 ◽  
Vol 10 (3) ◽  
pp. 35
Author(s):  
Bishnu Prasad Bhattarai
Keyword(s):  
Capital Structure ◽  
Financial Performance ◽  
Annual Report ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Insurance Companies ◽  
Return On Assets ◽  
Total Debt ◽  
Effect Model

The study has examined the effects of capital structure on financial performance of insurance companies in Nepal. Data were collected from the annual report of the respective insurance companies' web site. The panel data of 14 Nepalese insurance companies from 2007/08 to 2015/16, leading to a total of 126 observations. The data were analyzed using pooled OLS model, random effect model and fixed effect model. The study has been return on assets as dependent variable whereas total debt ratio, equity to total assets, leverage, firm size, liquidity ratio and assets tangibility are independent variables. The result concluded that equity to total assets, leverage, and assets tangibility have effects the financial performance in Nepalese insurance companies' cases.

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