scholarly journals The effect of business regulation on social progress

2021 ◽  
pp. 55-62 ◽  
Author(s):  
Kenza Ghazaouni
Keyword(s):  
Low Income ◽  
Social Indicators ◽  
Random Effect ◽  
Random Effect Model ◽  
Control Variable ◽  
The Other ◽  
Social Progress ◽  
Business Regulation ◽  
Other Hand ◽  
Effect Model

This study sought to determine the effect of business regulation on social progress. The dependent variable, social progress, was measured in terms of social progress index of the sampled countries. On the other hand, the independent variable, business regulation, was measured in terms of business regulation score. Consequently, the study used secondary data from a sample of 248 countries over a period of five years (2014-2018). In order to determine the appropriate model for analysis, the study conducted the Hausman test where it was established that the random effect model was more appropriate as compared to the fixed effect model. Using the Stata computer program to run multiple regression analysis of the random effect model, the study findings indicated that business regulation has a positive and significant effect on social progress as given across all the six models that were estimated in this study. However, the overall effect of regulation, as given by the estimated regression coefficients under the respective models, kept varying with the introduction of an additional control variable. These findings were in accordance with the study expectations that business regulation significantly affects social progress. Further, the findings implied that, governments should devote additional resources towards addressing the social indicators of progress to meaningfully improve the living standards of residents, instead of solely focusing on economic and environmental factors. On the other hand, considering that the current study did not categorize countries according to their levels of development, it recommends for further research to determine the effect of business regulation on social progress in low-income, middle-income, and high-income countries to allow for comparison of findings from countries that are at different levels of development.

scholarly journals ANALISIS PENGARUH UPAH MINIMUM TERHADAP KESEMPATAN KERJA SEKTOR INDUSTRI DENGAN PANEL DATA ANALYSIS

IQTISHODUNA ◽  
2011 ◽  
Author(s):  
Luthfiya Fathi Pusposari
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Control Variable ◽  
Industrial Sector ◽  
Fixed Effect ◽  
Minimum Wages ◽  
Effect Model

This study aims to determine the effect of minimum wages and employment of industrial sector in East Java. Researchers include two control variables are GDP as control variable of demand labor and work force as control variable of supply labor by using panel data from all districts and cities in East Java (29 districts and nine cities). Analysis of this study used panel data analysis which consisting of the Common Effect model, Fixed Effect model and Random Effect model, then chosed the most appropriate model. The result of this study show after testing the models, the appropriate model is fixed effect where minimum wages have negative effect of employment in industrial sector in east java.

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 SEGITIGA KEMISKINAN-PERTUMBUHAN-KETIMPANGAN (PGI TRIANGLE): PEMBANGUNAN KEUANGAN, PEMBANGUNAN MANUSIA, DAN KETIMPANGAN PENDAPATAN DI ASIA

2020 ◽  
Vol 28 (2) ◽  
pp. 77-89
Author(s):  
Rivanda Fadhila Indra Putra ◽  
Vera Lisna
Keyword(s):  
Income Inequality ◽  
Human Development ◽  
Financial Development ◽  
Low Income ◽  
Random Effect ◽  
Random Effect Model ◽  
Financial Sector ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Panel Data Regression

One of the issues faced by countries in asia is income inequality. Economic development is expected to improvepeoples living standards to minimize the gap between low-income and high-income populations. One of economicdevelopment is through financial development. The financial sector plays an important role in the economy of acountry, the development of the financial sector will indirectly increase the output of other sectors so as to tie thevalue of the gross domestic product (gdp). In addition to equality and economic growth, economic developmentalso needs to see whether the two are related to human development as described in the poverty-growth-inequality triangle (pgi triangle). The purpose of this study is to see a picture of the inequality of income distribution, financial development and human development in six asian countries. The analysis used descriptive statistics and panel data regression, specifically fixed effect model (fem) and the random effect model (rem). The result showed that there is a significant influence between financial development and human development on income inequality, the higher the financial development will reduce the level of inequality of a country. Meanwhile, the high value of human development actually increases inequality.

PERANAN GOOD CORPORATE GOVERNANCE TERHADAP KEPATUHAN PENGUNGKAPAN TRANSAKSI PIHAK BERELASI

2021 ◽  
Vol 7 (2) ◽  
pp. 157-174
Author(s):  
Grace Olivia ◽  
Dwi Jaya Kirana ◽  
Ekawati Jati Wibawaningsih
Keyword(s):  
Corporate Governance ◽  
Audit Committee ◽  
Random Effect ◽  
Random Effect Model ◽  
Control Variable ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Related Party Transactions ◽  
Good Corporate Governance ◽  
Effect Model

ABSTRAKPenelitian ini bertujuan untuk mengetahui pengaruh dari good corporate governance terhadap kepatuhan pengungkapan transaksi pihak berelasi pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia pada periode 2017–2019. Sampel dipilih menggunakan metode purposive sampling dan diperoleh sebanyak 117 perusahaan manufaktur. Data yang digunakan adalah data sekunder berupa laporan tahunan perusahaan. Model penelitian menggunakan Random Effect Model. Hasil penelitian menunjukkan komite audit dari komisaris independen berpengaruh positif terhadap pengungkapan transaksi pihak berelasi, sedangkan variabel dependen lain tidak berpengaruh. Ukuran perusahaan sebagai variabel kontrol tidak berpengaruh terhadap pengungkapan transaksi pihak berelasi. Pengungkapan transaksi pihak berelasi berisi informasi seberapa besar posisi keuangan perusahaan dapat dipengaruhi oleh transaksi dan saldo dengan pihak berelasi sehingga dapat meminimalisir masalah agensi berupa asimetri informasi di antara pemegang saham. Pengungkapan transaksi pihak berelasi dapat menghasilkan keputusan investasi yang terbaik bagi pemegang saham.ABSTRACTThis study aims to determine the effect of good corporate governance on disclosure compliance of related party transactions in manufacturing companies listed on the Indonesia Stock Exchange in the 2017–2019 period. The sample was selected using purposive sampling method and obtained as many as 117 manufacturing companies. The data used is secondary data in the form of the company's annual report. The research model uses the Random Effect Model. The study conclude only the audit committee of independent commissioners has a positive influence on the disclosure of related party transactions, while the other dependent variables have no effect. Firm size, as a control variable, has no effect on disclosure of related party transactions. Disclosure of related party transactions contains information on how much the company's financial position can be affected by transactions and balances with related parties so as to minimize agency problems in the form of information asymmetry among shareholders. Disclosure of related party transactions can result in the best investment decisions for shareholders.

scholarly journals Meta-Analysis: Diagnostic Accuracy of Anti-Cyclic Citrullinated Peptide Antibody for Juvenile Idiopathic Arthritis

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Yan Wang ◽  
Fengyan Pei ◽  
Xingjuan Wang ◽  
Zhiyu Sun ◽  
Chengjin Hu ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Sensitivity And Specificity ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Antibody Test ◽  
High Specificity ◽  
The Other ◽  
Effect Model ◽  
Higher Sensitivity

Objective. To estimate the diagnostic accuracy of the anti-CCP test in JIA and to evaluate factors associated with higher accuracy.Methods. Two investigators performed an extensive search of the literature published between January 2000 and January 2014. The included articles were assessed by the Quality Assessment of Diagnostic Accuracy Studies tool. The meta-analysis was performed using a summary ROC (SROC) curve and a bivariate random-effect model to estimate sensitivity and specificity across studies.Results. The bivariate meta-analysis yielded a pooled sensitivity and specificity of 10% (95% confidence interval (CI): 6.0%–15.0%) and 99.0% (95% CI: 98.0%–100.0%). The area under the SROC curve was 0.96. Sensitivity estimates were highly heterogeneous, which was partially explained by the higher sensitivity in the rheumatoid factor-positive polyarthritis (RF+ PA) subtype (48.0%; 95% CI: 31.0%–65.0%) than in the other subtypes (17.0%; 95% CI: 14.0%–20.0%) and the higher sensitivity of the Inova assay (17.0%; 95% CI: 14.0%–20.%%) than the other assays (0.05%; 95% CI: 2.0%–11.0%).Conclusions. Anti-CCP antibody test has a high specificity for the diagnosis of JIA. The sensitivity of this test is low and varies across populations but is higher in RF+ PA than in other JIA subtypes.

scholarly journals A Dire Need To Break The Back Of Hepatitis C Virus In KP-Pakistan: A Meta-Analysis

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Ali Zalan ◽  
Iftikhar Ud Din ◽  
Dr. Najeeb Ullah Khan ◽  
Saqib Elahi
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Viral Hepatitis ◽  
Low Income ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
World Health ◽  
Khyber Pakhtunkhwa ◽  
Effect Model

Viral Hepatitis is the seventh leading cause of death worldwide and prevails in many developing countries specifically in the Middle East and North African regions. The current study focuses on a comparatively low-income province of Pakistan, Khyber Pakhtunkhwa where medical facilities are scarce and the use of blood and its products, free from viral hepatitis and other pathogens, is poorly ensured. The preliminary phase of the study involved a systematic literature review on the epidemiology of Hepatitis C Virus in KP during the period 2000-2018 through PubMed, Science Direct, and Google Scholar. After statistical coding, an initial meta-analysis was conducted to come up with an integrated estimate of the prevalence of Hepatitis C Virus in Khyber Pakhtunkhwa. The prevalence rate of 4% by fixed effect model and of 6% by random effect model is extremely alarming, especially in a low-income region, and the Pakistani government should adopt effective and rapid strategies to eliminate Hepatitis C Virus infection by the end of 2030, as more times announced by the World Health Organization.

India’s Export Potential to Other SAARC Countries: A Gravity Model Analysis

2010 ◽  
Vol 6 (3) ◽  
pp. 167-184
Author(s):  
Sandeep Kaur ◽  
Paramjit Nanda
Keyword(s):  
Gravity Model ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Terms Of Trade ◽  
The Other ◽  
Major Market ◽  
Time Period ◽  
Effect Model ◽  
Convergence And Divergence

India’s export potential to other SAARC nations (Bangladesh, Bhutan, Maldives, Nepal, Pakistan and Sri Lanka) was calculated with the help of gravity model of exports using panel data methodology (pooled model, fixed effect model and random effect model) by taking the time period 1981-2005. To find out the convergence and divergence of India’s exports to SAARC members, speed of convergence was used. Moreover, study has also tried to find whether there is convergence of the actual data towards the estimated equilibrium.  The study reveals that there was presence of convergence in India exports with SAARC countries and in the other words, actual India’s exports to SAARC countries converged towards the estimated export potential. Among SAARC countries, India’s export potential exists for Maldives, Bhutan, Pakistan and Nepal. India is the only SAARC member that shares land border with four members and sea border with two. No other SAARC country shares a common border with each other. In terms of trade, commerce, investments etc., India is a source of potential investment and technology and a major market for products from all other SAARC members. Therefore, it is essentially in India’s interest to put her weight behind SAARC.   

Analisis Pengaruh Kepemilikan Blockholder, Kepemilikan Manajerial, Kepemilikan Institusional, dan Komite Audit terhadap Nilai Perusahaan

2018 ◽  
Vol 2 (1) ◽  
pp. 96-121
Author(s):  
Iwan Wirawardhana ◽  
Meco Sitardja
Keyword(s):  
Firm Value ◽  
Audit Committee ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Institutional Ownership ◽  
Managerial Ownership ◽  
Estimation Model ◽  
Effect Model ◽  
Positive Effect

The aim of this study is to analyse the effect of Blockholder Ownership, Managerial Ownership,Institutional Ownership, and Audit Committee towards Firm Value. The background of this research isthe agency theory and ownership theory. The population in this study are 46 property companies listedon the Indonesia Stock Exchange (IDX) for the period 2012-2016. By using purposive samplingtechnique, 35 companies are qualified as data samples. This research uses the random effect model asthe estimation model and multiple regression as the method of analysis. The results of this study showsthat Institutional Ownership has a positive effect on Firm Value. Meanwhile, Blockholder Ownership,Managerial Ownership, and Audit Committee have no effect on Firm Value. Moreover, the F-testimplies that the variables, blockholder ownership, managerial ownership, institutional ownership, andaudit committee, simultaneously influence firm value.

scholarly journals Alteration of Postural Balance in Patients with Fibromyalgia Syndrome—A Systematic Review and Meta-Analysis

Diagnostics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 127
Author(s):  
David Núñez-Fuentes ◽  
Esteban Obrero-Gaitán ◽  
Noelia Zagalaz-Anula ◽  
Alfonso Javier Ibáñez-Vera ◽  
Alexander Achalandabaso-Ochoa ◽  
...  
Keyword(s):  
Systematic Review ◽  
Postural Balance ◽  
Fibromyalgia Syndrome ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Healthy Controls ◽  
Functional Balance ◽  
Sensory Organization ◽  
Effect Model

Balance problems are one of the most frequent symptoms in patients with Fibromyalgia Syndrome (FMS). However, the extent and nature of this balance disorder are not known. The objective of this work was to determine the best evidence for the alteration of postural balance in patients with FMS and analyze differences with healthy controls. To meet this objective, a systematic review with meta-analysis was performed. A bibliographical search was carried out in PubMed Medline, Scopus, Web of Science, CINAHL and SciELO. Observational studies that assessed postural balance in patients with FMS compared to healthy subjects in baseline conditions, were selected. In a random-effect model, the pooled effect was calculated with the Standardized Mean Difference (SMD) and its 95% confidence interval (CI). Nineteen studies reporting data of 2347 participants (95% female) were included. FMS patients showed poor balance with a large effect on static (SMD = 1.578; 95% CI = 1.164, 1.992), dynamic (SMD = 0.946; 95% CI = 0.598, 1.294), functional balance (SMD = 1.138; 95% CI = 0.689, 1.588) and on balance confidence (SMD = 1.194; 95% CI = 0.914, 1.473). Analysis of the Sensory Organization Test showed large alteration of vestibular (SMD = 1.631; 95% CI = 0.467, 2.795) and visual scores (SMD = 1.317; 95% CI = 0.153, 2.481) compared to healthy controls. Patients with FMS showed worse scores for different measures of postural balance compared to healthy controls. Concretely, FMS patients appear to have poor vestibular and visual scores with a possible somatosensory dependence.

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