scholarly journals Revenue Discrepancy Determinant in Central Java Province (After a Decade of Autonomy and Fiscal Decentralization Implementation)

2018 ◽  
Vol 73 ◽  
pp. 10006
Author(s):  
Sasana Hadi
Keyword(s):  
Income Inequality ◽  
Fiscal Decentralization ◽  
Government Expenditure ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Analysis Tool ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Central Java Province

This study was to analyze the determinants of revenue discrepancy in the Central Java province. The analysis tool used was panel data regression with fixed effect model method, using secondary data obtained from 35 districts of Central Java Province during 2010-2015. The results indicated that government expenditure and investment variable have positive and significant impact on income inequality in Central Java, while inflation variable has a negative and significant effect on income inequality in Central Java. In addition, economic growth variable and minimum wage of the region have no significant effect on income gap in Central Java

scholarly journals Determinan Kemiskinan di Provinsi Jawa Tengah Tahun 2011-2014

2018 ◽  
Vol 7 (3) ◽  
pp. 235-242
Author(s):  
Emi Megawati ◽  
Lesta Karolina Br Sebayang
Keyword(s):  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Simultaneous Test ◽  
Central Java ◽  
Effect Model ◽  
Independent Variable ◽  
Central Java Province

Berdasarkan data dari BPS, kemiskinan di Provinsi Jawa Tengah pada tahun 2011-2014 masih berada di peringkat kedua setelah DI Yogyakarta di Pulau Jawa-Bali. Penelitian ini menggunakan data panel dengan pendekatan Fixed Effect Model (FEM) dengan metode Generalized Least Square (GLS). Sumber data yang diperoleh dari Badan Pusat Statistik (BPS) dan Direktorat Jendral Perimbangan Keuangan Indonesia. Hasil penelitian menunjukan bahwa variabel IPM berpengaruh negatif dan signifikan terhadap kemiskinan di Provinsi Jawa Tengah. Sedangkan variabel PDRB dan pembiayaan pendidikan berpengaruh tidak signifikan terhadap kemiskinan di Provinsi Jawa Tengah. Hasil uji secara bersama-sama menunjukan bahwa secara keseluruhan variabel bebas secara bersama-sama dapat menunjukan pengaruhnya terhadap kemiskinan. nilai dari Adjusted R2 sebesar 0,995 yang berarti 99,5 persen kemiskinan dapat dijelaskan oleh variabel bebas. Sedangkan sisanya 0,50 persen dijelaskan oleh variabel di luar model. Based on data from BPS, during years 2011-2014 Central Java Province are in number 2 after DI Yogyakarta in Java-Bali. This research use panel data with Fixed Effect Model (FEM) approach and by using Geberalized Square (GLS) method. The data source is secondary data are obtained from the Central Statistics Agency and the Directorate General of Financial Balance Indonesia. The result of this research show that HDI variable give the negative and significant influence to the poverty in Central Java province. GDRP and financing of education not significant influence to the poverty in Central Java province. Simultaneous test results showed that, overall, the independent variable (HDI, GDRP and financing of education) together can show its effect on poverty. the value of Adjusted R2 of 0,995, which means 99,5 percent of poverty can be explained by the independent variable. While the remaining 0,50 percent is explained by variables outside the model.

scholarly journals Pengaruh PDRB, indeks pembagunan manusia dan zakat terhadap kemiskinan di Provinsi Jawa Tengah

2021 ◽  
Vol 1 (1) ◽  
pp. 40-54
Author(s):  
Muhammad Miftahussalam ◽  
Mohammad Rofiuddin
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Development Index ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Central Java Province

This study aimed to determine the effect of GRDP, human development index, and zakat on poverty in Central Java Province. The object of this research is all regencies/cities in Central Java Province in 2015-2019. The method used to see effects using the panel data regression approach is the fixed effect model. The results in the study show that simultaneously zakat, GRDP, human development index affect poverty in Central Java Province. GRDP is not significant to poverty in Central Java Province. While the human development index and zakat decrease poverty in Central Java Province. The research model clarifies the role of zakat and human development in poverty alleviation in Central Java Province, so it is essential to maintain and increase its value over time to reduce poverty.

scholarly journals The Effect of Investment, District Minimum Wages, and Number of Small Medium Industry Units on Labor Employment: Empirical Study on The District/City Small Medium Industry Sector 2013 - 2019

2021 ◽  
Vol 1 (1) ◽  
pp. 61-76
Author(s):  
Hesa Murti Cahyo Jati ◽  
Akhmad Syari’udin
Keyword(s):  
Secondary Data ◽  
Fixed Effect Model ◽  
Minimum Wages ◽  
Analysis Tool ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
City District ◽  
Small Industry ◽  
Small And Medium Industry

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.

scholarly journals Pengaruh Pendidikan, Pengangguran, dan Kemiskinan terhadap Ketimpangan Pendapatan di Indonesia

2019 ◽  
Vol 8 (3) ◽  
pp. 250
Author(s):  
Hindun Hindun ◽  
Ady Soejoto ◽  
Hariyati Hariyati
Keyword(s):  
Data Analysis ◽  
Income Inequality ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Ministry Of Education ◽  
Effect Model ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression

This research aims to analyze the effect of education, unemployment, and poverty on income inequality in Indonesia, both partially and simultaneously. This research uses secondary data with a quantitative approach. The type of research used is the type of associative research. The variables in this study are education, unemployment, poverty, and income inequality — data source from BPS and the Ministry of Education and Culture. The data analysis technique used is panel data regression analysis with cross-section 34 provinces and time series for 2015-2018. The results of the research obtained the random effect model, the best models. The results of data analysis show that education and poverty had a partial effect on income inequality in Indonesia, while unemployment had not to affect income inequality. Simultaneously, education, unemployment, and poverty affect income inequality in Indonesia. However, education, unemployment, and poverty can only explain 22.37% of the effect on income inequality in Indonesia. The rest is influenced by factors outside the model.

scholarly journals PENINGKATAN TARIF CUKAI ROKOK DAN DAMPAKNYA TERHADAP PEREKONOMIAN DAN PENDAPATAN SEKTORAL JAWA TENGAH

KINERJA ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 99
Author(s):  
Fatoni Ashar ◽  
Firmansyah ,
Keyword(s):  
Panel Data ◽  
Household Income ◽  
Fixed Effect Model ◽  
Cigarette Consumption ◽  
Input Output ◽  
Output Analysis ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

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

scholarly journals Analisis Efisiensi dan Efektivitas Anggaran “Gerdu Kempling” Sebagai Upaya Pengentasan Kemiskinan

2018 ◽  
Vol 6 (1) ◽  
pp. 95-106
Author(s):  
Syahrir Wijanarko
Keyword(s):  
Secondary Data ◽  
Capital City ◽  
Analysis Tool ◽  
Envelope Analysis ◽  
The Public ◽  
Central Java ◽  
Efficiency And Effectiveness ◽  
Data Envelope Analysis ◽  
The City ◽  
Central Java Province

Kota Semarang sebagai Ibukota Provinsi Jawa Tengah menjadi magnet yang menarik masyarakat di Jawa Tengah untuk datang dan mengadu nasib demi kehidupan yang lebih baik. Besarnya jumlah penduduk di Semarang tidak diikuti oleh peningkatan kualitas sumber daya manusianya. Hal ini mengakibatkan peningkatan jumlah penduduk miskin yang tidak mampu memenuhi kebutuhan dan menjadikan banyaknya warga miskin di Kota Semarang. Hal inilah yang melatarbelakangi munculnya Program Gerdu Kempling dalam usaha mengentaskan kemiskinan di Kota Semarang. Penelitian ini mengkaji efisiensi dan efektivitas penggunaan anggaran Program Gerdu Kempling di Kota Semarang Provinsi Jawa Tengah. Tujuan penelitian ini untuk mengetahui penggunaan dana Gerdu Kempling dalam usaha mengentaskan kemiskinan di Kota Semarang. Data dalam penelitian ini merupakan data sekunder Metode dalam penelitian ini adalah deskriptif persentase, alat analisis yang digunakan adalah Data Envelope Analysis (DEA). Hasil analisis secara deskriptif persentase menunjukkan bahwa Program Gerdu Kempling belum terselenggara secara efektif. Sedangkan hasil perhitungan data penggunaan anggaran dengan DEA dalam penelitian ini menunjukan bahwa anggaran Gerdu Kempling tidak efisien dan tidak akan pernah mencapai efisiensi karena Gerdu Kempling merupakan kebijakan di sektor publik yang berbeda dengan sektor privat. Saran yang dapat diberikan dari penelitian ini yaitu sebaiknya pemerintah dan para stakeholder mampu mengintegrasikan data penerima bantuan di sistem antar SKPD.   Semarang city as a capital city of Central Java Province become a magnet that attract Central Java people for coming and try fortune for a better life. But, huge quantitie of population in Semarang not followed by quality improvement from the human resources. This cause in an increase of the number of poverty population that not able to fulfill and makes many poverty population in the city of Semarang. This research analysis the efficiency and effectiveness of Gerdu Kempling Program budget in the city of Semarang, Central Java Province. This research purposes to knowing the use of Gerdu Kempling budget in an effort to poverty alleviation of Semarang city. The data on this research is secondary data. The method of this research is deskriptive persentage and used Data Envelope Analysis (DEA) as an analysis tool. The result in deskriptive persentage way showed that Gerdu Kempling Program not effective yet. Whereas the result of calculated budget used data with DEA in this research showed that Gerdu Kempling budget not and never be efficience because Gerdu Kempling is policy in the public sector that have a difference with private sector. Advice for this research is governement and stakeholders should able to integrate favor receiver data in inter SKPD system.

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.

scholarly journals Analysis of Economic Growth through Technological Advancement, Investment, Labor and Education

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Nur Rifai ◽  
Edy Yusuf Agung Gunanto ◽  
Joko Hadi Susilo
Keyword(s):  
Economic Growth ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Fixed Effect Model ◽  
Positive Influence ◽  
Technological Advancement ◽  
Central Java ◽  
Technological Advances ◽  
Central Java Province

This study is aims to determine the variable influence of technological advances, investment, labor and education on economic growth in Central Java Province in 2016-2020, this research is conducted to provide the right economic growth model in accordance with the results of the study. This research is empirical research with quantitative approach. The data used in this study is secondary data from 35 districts/cities in Central Java Province in 2016-2020 so that the number of samples in the study is 175 samples. The data analysis technique in this study uses multiple linear regression analysis with the Fixed Effect model. This study found that the progress variable of technology, labor and education have a significant and positive influence on economic growth in Central Java Province. This study also found the investment variable had an insignificant effect on economic growth in Central Java Province.Keywords: economic growth, technological advancement, investment, labor, education.

Dana pihak ketiga, Inflasi dan Pembiayaan Mudharabah terhadap Non Performing Financing pada Bank Islam di Indonesia dan Malaysia

2019 ◽  
Vol 16 (2) ◽  
pp. 74-80
Author(s):  
Afrillia Tiara Putri ◽  
Saadah Yuliana ◽  
Anna Yulianita
Keyword(s):  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Third Party ◽  
Coefficient Of Determination ◽  
Islamic Banks ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

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

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
Keyword(s):  
Minimum Wage ◽  
Development Process ◽  
Hypothesis Test ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Analysis Techniques ◽  
Independent Variables ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

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).

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