scholarly journals THE EFFECT OF MINIMUM WAGE, INVESTMENT, GRDP, AND TECHNOLOGY INDEX ON INDONESIAN LABOR ABSORPTION

2021 ◽  
Vol 6 (1) ◽  
pp. 82
Author(s):  
Siti Safi'atul Ummah

Labor issues become an obstacle to the development process in a country. This problem arises due to a lack of employment opportunities, so that the existing workforce is not maximally absorbed. This problem is not spared from several development factors including the minimum wage, investment, GRDP and technology index. With the aim of knowing the influence of the minimum wage, investment, GRDP and technology index variables with the Indonesian labor absorption variable in 2015-2019. Using secondary data obtained from BPS Indonesia and using panel data regression analysis techniques with the Fixed Effect model as the selected model and using classical assumption tests and hypothesis testing. The results of the hypothesis test show that the influence of the minimum wage, investment, GRDP and technology index variables has an effect on the labor absorption variable simultaneously. The magnitude of the effect (R²) by all independent variables shows that the minimum wage, investment, GRDP and technology index have an effect of 99.82% on the depnden variable (labor absorption).

2019 ◽  
Vol 16 (2) ◽  
pp. 74-80
Author(s):  
Afrillia Tiara Putri ◽  
Saadah Yuliana ◽  
Anna Yulianita

This study aimed to analyze the influence of third party funds, inflation, and mudharabah against non performing financing on Islamic Banks in Indonesia and Malaysia. Data used is secondary data. The method used in this analysis is the panel data regression. The results showed that in partial third party fund and mudharabah significant negative effect on the Non Performing Financing, while inflation is positive and not significant to the Non Performing Financing. Variable Third Party Funds, Inflation and mudharabah jointly significant effect on Non Performing Financing. Based on the regression equation fixed effect model results show the results of the coefficient of determination (R2) is 0.369198, or 36.91 per cent means that the variation of the variable third party funds, inflation and mudharabah have an influence on the non performing financing for the coefficient of determination, while the rest 63.09 percent influenced by variables outside the model


2021 ◽  
Vol 5 (1) ◽  
pp. 42-55
Author(s):  
Mulia Andirfa ◽  
Eka Chyntia ◽  
Iva Septarina ◽  
Maryana

This study aims to analyze the effect of ROE, CAR, NPL, BOPO, and DER simultaneously on stock returns in  commercial banks listed on the Indonesia Stock Exchange. The data used in this study are secondary data in the form of financial reports at PT. Bank Rakyat Indonesi Tbk, PT. Bank Negara Indonesia Tbk, PT. Bank Mandiri Tbk, PT. Bank Central Asia Tbk, and PT. Bank Mega Tbk. from 2014-2019. The data analysis method used is panel data regression analysis, namely the Fixed Effect Model (FEM). The results showed that: ROE theoretically and statistically affect stock returns in commercial banks listed on the Indonesia Stock Exchange. CAR is theoretically and statistically insignificant to stock returns in Commercial Banks listed on the Indonesia Stock Exchange. BOPO has a theoretical effect but does not have a statistical and significant effect on stock returns in  commercial banks listed on the Indonesia Stock Exchange. NPL and DER have no effect on stock returns in Commercial Banks listed on the Indonesia Stock Exchange. ROE, CAR, NPL, BOPO and DER simultaneously have a positive effect on stock returns in) Commercial Banks listed on the Indonesia Stock Exchange. ROE, CAR, NPL, BOPO and DER have the ability to explain their effect on stock returns in Commercial Banks listed on the Indonesia Stock Exchange of 44.09%. The remaining 55.01% is influenced by other variables outside this research model.


2020 ◽  
Vol 4 (2) ◽  
pp. 311-320
Author(s):  
Aditya Firman Baktiar ◽  
Herpanindra Fadhilah ◽  
Margareth Dwiyanti Simatupang ◽  
Mula Warman ◽  
Salsa Vira ◽  
...  

Poverty is still being an issue all over the world. It also happens in Southeast Asia that mostly consists of developing countries that identic with high poverty rates. Countries in the world have tried to eradicate the problem of poverty, it's just that it can be hampered due to the high level of corruption. This study aims to look at suitable models and the relationship between corruption and poverty. The data source in this study is secondary data from ten countries in Southeast Asia from 2015 to 2018. Analysis of the data used in this study is panel data. The result obtained is a panel data regression model that is more suitable for modeling the effect of corruption on poverty in Southeast Asian countries is a fixed effect model. Based on the model, the corruption represented by Corruption Perception Index (CPI) and the poverty represented by Human Development Index (HDI) is directly proportional which means every increase in one unit of CPI will also increase the HDI score by 0.001443 unit.


GANEC SWARA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 59
Author(s):  
BAIQ HIPZIWATY ◽  
PUTU KARISMAWAN ◽  
BAIQ ISMIWATY

This study aims to analyze economic growth, income disparity and community welfare in the West Nusa Tenggara Province.     This research is a descriptive study using secondary data obtained from relevant agencies in the form of GRDP data, population, economic growth, HDI and per capita income between regencies / cities in NTB Province and data collection using the case method. With analytical procedures using Williamson index and panel data regression analysis.     The results showed that during the period of 2010-2016 the average economic growth of West Nusa Tenggara Province was 6.0%. The income disparity seen from the Williamson index in the 2010-2016 period is classified as a medium inequality criterion. The estimation results of the relationship between the variables of economic growth, income disparity and the welfare of the people of West Nusa Tenggara Province measured using HDI in 2010-2016 using panel data regression analysis with the Fixed Effect model (FEM), found that economic growth variables were positively related, but not significant to welfare society. The variable income disparity is significantly related to the welfare of the people of NTB Province.


2020 ◽  
Vol 5 (2) ◽  
pp. 15
Author(s):  
Helma Malini

<p><em>The survival of banking industries are determined by many factor including profitability earn during the years. Therefore, this study investigates factors affecting profitability of banks in ASEAN. This study uses 10 banks with the largest assets in Indonesia, Malaysia and Thailand with sample studies of 30 banks in ASEAN with 10 years of operationalization duration. Return on assets (ROA) is the dependent variable and the independent variables used are non-performing loans (NPL), capital adequacy ratios (CAR), total assets (Size), loan-to-deposit ratio (LDR), domestic product growth gross (GDP growth), inflation, interest rates and exchange rates. </em></p><em>Data is processed using panel data regression with the Cochrance Orcutt method on the basis of the Common and Fixed Effect Model with the combination of stylized facts among each countries. The final results of this study are varied among countries. In Indonesia only NPLs have a significant significance of ROA, which is a significant negative. In Malaysia, only the exchange rate is significant to ROA, which is a significant negative. In Thailand, only NPI has a significant effect on ROA, which is a significant negative. Overall in Southeast Asia, only NPLs, interest rates and exchange rates significantly affect ROA, which is a significant negative. In other independent variables, it does not have a significant effect on ROA.</em>


2019 ◽  
Vol 1 (1) ◽  
pp. 77
Author(s):  
Dermawan Wijaya

This research aims to analyze the effect of fundamental factors on stock price in manufacturing companies which are listed in the Indonesia Stock Exchange. Fundamental factors that become this research objects are current ratio (CR), debt to equity (DER), return to equity ratio (ROE), total assets turnover (TATO) and earning per share (EPS) as independent variables, while stock price becomes dependent variables. The research subjects are manufacturing companies listed in Indonesia stock Exchange between period of 2013-2016 and have published profitable financial statements. Sampling method used is purposive sampling and the analysis method used is panel data regression. The research model selected is fixed effect model (FEM). The result shows that CR, DER, ROE, TATO and EPS has significant and simultaneous effects on stock price. Where only ROE and EPS has significant and partial effect on stock price. This study concludes that not all independent variables have significant effect on stock price.


2021 ◽  
Vol 1 (1) ◽  
pp. 61-76
Author(s):  
Hesa Murti Cahyo Jati ◽  
Akhmad Syari’udin

Minimum Wages, Numbers of medium and small industry on Employment of small and medium Industry, in the city/district of the Special Region of Yogyakarta in 2013-2019. This research is based on secondary data, namely data sourced from the book of small and medium industry potential and publication of the Central Bureau of Statistics. The analysis tool used is panel data regression with the fixed effect model method. Based on the results of the study, the Investment has a positive and significant effect on the Employment of Small and Medium Industry, the Regional Minimum Wages has a negative and significant effect on the Employment of Small and Medium Industry, and the number of Small and Medium industry has a positive and significant effect on the Employment of Small and Medium Industry.


2019 ◽  
Vol 3 (3) ◽  
pp. 376-385
Author(s):  
Didit Suprayitno ◽  
Idah Zuhroh ◽  
M.Faisal Abdullah

This study aims to analyze the influence of the independent variables, namely the BI Rate, Third Party Funds (DPK), Capitalization of Adequacy Ratio (CAR) and Operational Income Costs (BOPO) on Islamic bank financing in Indonesia 2010 - 2017. This type of research is Quantitative Inferential . The required data is secondary data from the financial statements of five Islamic banks in Indonesia 2010-2017.4. Data analysis techniques are panel data regression analysis techniques. The results of the study show that the BI Rate variable has a significant negative effect on financing, Third Party Funds (TPF) have a significant positive relationship to financing, while for the variable Capital Adequacy Ratio (CAR) has a significant positive effect on financing and for Operational Income Operating Costs (BOPO) no significant negative effect on financing. The coefficient of determination (R ^ 2) is 0.938581 or 93.85%. This shows that the ability of the independent variables namely BI Rate, DPK, CAR and BOPO explain the dependent variable of Financing at 93.85% and the remaining 6.15% can be explained by other variables.


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 1 (2) ◽  
pp. 169-190
Author(s):  
Desy Meilasari

This research aims to analyze the effect of provincial Minimum wage (UMP), PDRB, and investment in theindustrial sector of labor absorption on Java island in 2010-2016. Data used is a data panel consisting of datatime series 2010 – 2016 and cross section six provinces namely DKI Jakarta, West Java, Central Java, INYogyakarta, East Java, and Banten. The Anaalisis tool used is a data regression panel i.e. Fixed Effect Model(FEM). The results showed that UMP has a significant effect on the labor absorption of the industrial sector onJava Island in 2010-2016. While the PDRB and investment have a positive and significant effect on the laborabsorption of industrial sectors in Java Island in 2010-2016. Through this research, the government expectsmore cautious and creating a conducive investment climate so that the value of PDRB is increasing.


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