scholarly journals PENGARUH PELAKSANAAN KUALITAS AUDIT DAN PROPORSI DEWAN KOMISARIS INDEPENDEN TERHADAP KINERJA KEUANGAN PERUSAHAAN PROPERTY DAN REAL ESTATE DI BURSA EFEK INDONESIA

2019 ◽  
Author(s):  
Ningsih ◽  
Aminar Sutra Dewi

The decline in stock prices of property and real estate firms resulted from thegovernment's policy of high loan interest has not affected the property sector and realestate. This study aims to examine the effect of Good Corporate Governanceimplementation that is the quality of auditor (KA) to financial performance andproportion of independent board of commissioner (PDKI) to company financialperformance. This research uses purposive sampling method that is sampling techniquewhich refers to certain criteria. Based on predetermined criteria, 23 companies will beselected as research samples from 2012 until 2016. The method of analysis used isquantitative method, with classical assumption test and panel data regression analysis.From the three tests obtained the best model is the Fixed Effect Model (FEM). The results ofthis study indicate that audit quality has a positive and insignificant effect on financialperformance as reflected on return on equity. While the proportion of independent boardof commissioners has a negative and significant impact on financial performance asreflected in return on equity

2019 ◽  
Author(s):  
Ningsih

The decline in stock prices of property and real estate firms resulted from thegovernment's policy of high loan interest has not affected the property sector and realestate. This study aims to examine the effect of Good Corporate Governanceimplementation that is the quality of auditor (KA) to financial performance andproportion of independent board of commissioner (PDKI) to company financialperformance. This research uses purposive sampling method that is sampling techniquewhich refers to certain criteria. Based on predetermined criteria, 23 companies will beselected as research samples in 2012 until 2016. The method of analysis used isquantitative method, with classical assumption test and panel data regression analysis.From the three tests obtained the best model is Fixed Effect Model (FEM). The results ofthis study indicate that audit quality has positive and insignificant effect on financialperformance as reflected on return on equity. While the proportion of independent boardof commissioners has a negative and significant impact on financial performance asreflected in return on equity.


2019 ◽  
Author(s):  
Ningsih ◽  
Aminar Sutra Dewi

The decline in stock prices of property and real estate firms resulted from the government's policy of high loan interest has not affected the property sector and real estate. This study aims to examine the effect of Good Corporate Governance implementation that is the quality of auditor (KA) to financial performance and proportion of independent board of commissioner (PDKI) to company financial performance. This research uses purposive sampling method that is sampling technique which refers to certain criteria. Based on predetermined criteria, 23 companies will be selected as research samples in 2012 until 2016. The method of analysis used is quantitative method, with classical assumption test and panel data regression analysis. From the three tests obtained the best model is Fixed Effect Model (FEM). The results of this study indicate that audit quality has positive and insignificant effect on financial performance as reflected on return on equity. While the proportion of independent board of commissioners has a negative and significant impact on financial performance as reflected in return on equity.


2017 ◽  
Vol 4 (4) ◽  
pp. 312
Author(s):  
Yeano Dwi Andhika ◽  
Noven Suprayogi

Capital adequacy regulation imposed on banks, including Islamic banks, is part of the regulators’ efforts to ensure that banks have adequate capital in order to get them prepared facing the risks that might arise in their operations. This research aims to find the effects of Islamic banks’ specific variables on Capital Adequacy Ratio (CAR), the capital adequacy indicator in banks.Using panel data regression, this research investigates the possible effects of four bank spesific variables which are Bank Size (LNSIZE), Non-Performing Financing (NPF), Return on Equity (ROE), and Financing to Deposit Ratio (FDR) on Capital Adequacy Ratio (CAR). There are 11 Indonesia’s Islamic commercial banks during 2011 to 2015 used as sample. As Fixed Effect Model (FEM) chosen to be the estimation model, this research indicates that LNSIZE, NPF, ROE and FDR have significant effects on CAR with different level of significance.


2020 ◽  
Vol 14 (2) ◽  
pp. 215-238
Author(s):  
Hotsawadi Harahap ◽  
Widyastutik

Abstrak Penelitian ini bertujuan untuk menganalisis diversifikasi ekspor non migas Indonesia ke pasar non tradisional. Metode penelitian yang digunakan adalah analisis statistik deskriptif dengan pendekatan pengelompokan (clustering), Structural Match Index dan Demand Index, serta regresi data panel. Hasil penelitian menunjukkan bahwa negara yang diidentifikasikan sebagai negara non tradisional potensial adalah Brazil, Pantai Gading, Mesir, Georgia, Jamaica, Kazakhstan, Kuwait, Myanmar, Nigeria, Norway, Oman, Pakistan, Russian Federation, Trinidad and Tobago, Turkey, United Arab Emirates, dan Uruguay. Hasil regresi data panel menunjukkan bahwa Random Effect Model merupakan model yang terbaik untuk menjelaskan faktor-faktor yang memengaruhi ekspor non migas Indonesia ke negara non tradisional. Hasil regresi menunjukkan bahwa GDP riil negara tujuan, populasi negara tujuan, nilai tukar riil, FDI dan kualitas pelabuhan Indonesia berpengaruh signifikan secara statistik terhadap ekspor non migas Indonesia ke negara non tradisional potensial tersebut. Beberapa rekomendasi kebijakan yang perlu dilakukan untuk meningkatkan ekspor non migas ke negara tujuan non tradisional diantaranya perlu dilakukan intelejen pasar mengenai kebutuhan dan selera dari masing-masing negara non tradisional atas produk Indonesia, peningkatan kualitas pelabuhan Indonesia dan kebijakan tambahan yang memberikan insentif untuk menarik Foreign Direct Investment ke Indonesia. Kata Kunci: Diversifikasi Ekspor, Demand Index, Non traditional, Random Effect Model, Structural Match Index   Abstract This study aims to analyze the diversification of Indonesia's non-oil and gas exports to non-traditional markets. The research method used is descriptive statistical analysis with a clustering approach, Structural Match Index and demand index, and panel data regression. The results showed that countries identified as potential non-traditional countries were Brazil, Ivory Coast, Egypt, Georgia, Jamaica, Kazakhstan, Kuwait, Myanmar, Nigeria, Norway, Oman, Pakistan, Russian Federation, Trinidad and Tobago, Turkey, United Arab Emirates, and Uruguay. The panel data regression results show that the random effect model is the best model to explain the factors that influence Indonesia's non-oil exports to non-traditional countries. The results show that the real GDP of the destination country, the population of the destination country, the real exchange rate, FDI and the quality of Indonesia's ports have a statistically significant effect on Indonesia's non-oil exports to these potential non-traditional countries. Then, in this study there are several policy recommendations that need to be done to increase non-oil and gas exports to non-traditional destination countries including market intelligence regarding the needs and tastes of each non-traditional country for Indonesian products, improving the quality of Indonesian ports and additional policies that provide incentives to attract Foreign Direct Investment to Indonesia. Keywords:  Export Diversification, Demand Index, Non-traditional, Random Effect Model, Structural Match Index JEL Classifications: F13, F15, F18


2021 ◽  
Vol 5 (1) ◽  
pp. 61-70
Author(s):  
Joni Fernandes ◽  
Devi Oktavia

The low absorption of the budget in capital expenditures can have an impact, including, for example, the poor local infrastructure that is currently owned and the absence of a significant additional number of projects in the new infrastructure sector, the absence of basic infrastructure such as ports, roads, clean water processing and generators electricity. The purpose of this study was to determine how much influence local revenue and general allocation funds have on capital expenditures in 19 districts and cities in West Sumatra for the 2015–2019 period. Total sampling method is used for the sampling technique and obtained 95 data. The Central Bureau of Statistics of West Sumatra Province is a place for data collection through the website www.sumbar.bps.go.id. Panel data regression analysis is the analysis method used  with the help of the E-Views 8 application. After the Hausman-Test was carried out, it was decided to use the Fixed Effect Model method. The results showed that there was a positive effect of PAD and DAU on capital expenditures, both individually and collectively.


2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.


2019 ◽  
Vol 14 (2) ◽  
pp. 55-66
Author(s):  
Selamet Rahmadi ◽  
Parmadi Parmadi

This study aims to find out and analyze the effect of income inequality and poverty on economic growth on each island in Indonesia. To answer these objectives, panel data regression (pooled data) is used. The results of the study show: (1). the best regressions on estimation models are based on the Chow and the Hausman test using the Fixed Effect Model estimation model for each island in Indonesia. (2). Income and poverty inequality negatively affected economic growth in all islands in Indonesia during the 2015-2018.


KINERJA ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 99
Author(s):  
Fatoni Ashar ◽  
Firmansyah ,

This study analyzes the effect of excise of cigarette price changes to the consumption of cigarette and Central Java’s economy and household income. In the first stage, with employing panel data regression model,i.e. fixed effect model (FEM) which include 35 regencies/cities in Central Java Province during 2009-2013, the study examines the effect of cigarette excise to cigarette consumption. On the next stage, the study simulatesthe impact of cigarette consumption shock to the Central Java’s sectoral economy and household income using the Central Java 2013 Input-Output table. The findings indicate that the cigarette excise has a tradeoff effect tohousehold’s cigarette consumption. The increase of cigarette excise reduces cigarette consumption, and next, reduces output and sectoral household income. The cigarettes industries suffered the highest impact of thedecrease of the cigarette consumption, followed by other sectors which is has a high link to cigarette industries such as agricultures and tobacco sectors.Keywords: cigarette, excise, panel data regression, input-output analysis


Author(s):  
Muliza Muliza

This study aims to see the effect of Village Fund and Gross Domestic Regional Product on poverty in districts / cities in Aceh Province during the 2017-2019 period. To analyze the data, the method used is panel data regression analysis with the estimation of model parameters using a fixed effect model (FEM). The results showed that the village funds variable did not have a significant effect on poverty, this happened because most of the village funds were allocated more to the infrastructure development sector, causing village funds to still not have a direct effect on reducing poverty. The Gross Domestic Regional Product variable has a negative but significant effect on poverty in the District / City of Aceh Province, which means that with an increase in Gross Domestic Regional Product it will significantly affect the reduction of poverty levels in Aceh Province.


2021 ◽  
Vol 31 (7) ◽  
pp. 1655
Author(s):  
Ni Made Widyasari ◽  
Ketut Yadnyana

A company Development can made the ekspoitation of natural resources to be higher, so it is important for the companies to carry out CSR activities. This study aims to determine the effect of corporate social responsibility disclosure on financial performance in Bank sector as proxied by eeturn on assets (ROA) and return on equity (ROE). The sample was obtained using purposive sampling method and the number of research samples was 19 companies with a total of 95 observations. The data analysis technique in this study was panel data regression analysis. The results show that corporate social responsibility (CSR) disclosure has a positive and significant effect on financial performance in bank sector as proxied by return on assets (ROA) and return on equity (ROE). The implication of this research can contribute to the empirical study of stakeholder theory and equity theory. The implication of this research is that it can be taken into consideration in decision making by stakeholders and company management. Keywords: CSR Disclosure; ROA; ROE.


Sign in / Sign up

Export Citation Format

Share Document