Pengaruh Elektrifikasi Terhadap Produk Domestik Regional Bruto Per Kapita: Studi Empiris Tahun 2014 – 2019

This study aims the effect of electrification on productivity. We used data panel on kabupaten dan kota level with 2014-2019 period. The method in this research is descriptive quantitative with the data used is secondary data in the form of GDRB panel data throughout Indonesia In this study, productivity defined as GDRB per capita. Estimation result shows that the electrification ratio has a positive and significant effect to GDRP per capita on 2014-2019 nationally, in Sumatera island, and Kalimantan island. The presence of electrification can support productivity, such as lightning, use of mahines more efficiently, home appliance, and ICT or communication. Therefore, electrification should be fulfilled in Indonesia to increase GDRP per capita growth.

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ANALISIS DETERMINAN BALITA PENDEK DAN SANGAT PENDEK DI INDONESIA 2015-2018 DENGAN REGRESI DATA PANEL

Jurnal Pendidikan Ekonomi (JUPE) ◽

10.26740/jupe.v8n2.p56-61 ◽

2020 ◽

Vol 8 (2) ◽

pp. 56-61

Author(s):

Astrid C. A. Pangaribuan ◽

Kuncoro Dwi Dhanutama ◽

Miko Oktavio Wijaya ◽

Putri Tareka Navasha ◽

Rani Nooraeni

Keyword(s):

Panel Data ◽

Cross Section ◽

Secondary Data ◽

Fixed Effect Model ◽

Fixed Effect ◽

Individual Effect ◽

Capita Expenditure ◽

School Participation ◽

Effect Model ◽

Per Capita

Balita pendek dan sangat pendek (kerdil) adalah kondisi dimana balita memiliki panjang atau tinggi badan yang kurang dibandingkan dengan umur. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi persentase balita kerdil di Indonesia pada tahun 2015–2018. Penelitian ini menggunakan data sekunder berupa data panel yang bersumber dari website Badan Pusat Statistik dan publikasi Kementerian Kesehatan Republik Indonesia. Variabel bebas dalam penelitian ini adalah angka partisipasi sekolah, rata-rata pengeluaran per kapita rumah tangga untuk makanan, tingkat pengangguran terbuka, dan persentase balita gizi buruk dan kurang. Metode analisis yang digunakan adalah regresi data panel dengan Fixed Effect Model (FEM). Setelah dilakukan estimasi model terpilih, didapatkan hasil bahwa rata-rata pengeluaran per kapita rumah tangga untuk makanan dan persentase balita gizi buruk kurang berpengaruh signifikan. Sementara itu, berdasarkan hasil Individual Effect atau Cross-Section Fixed Effect, persentase balita kerdil tertinggi berada di Provinsi Sulawesi Barat sedangkan yang terendah berada di Provinsi Kepulauan Riau. Kata kunci: Pengeluaran perkapita, partisipasi sekolah, tingkat pengangguran terbuka, balita gizi buruk Abstract Toddler short and very short (dwarf) is a condition where toddlers have a length or height less than age. This study aims to analyze the factors that influence the percentage of stunted toddlers in Indonesia in 2015-2018. This study uses secondary data in the form of panel data sourced from the website of the Central Statistics Agency and the publication of the Ministry of Health of the Republic of Indonesia. The independent variables in this study are school participation rates, the average per capita household expenditure for food, open unemployment rates, and the percentage of malnourished and under-aged children. The analytical method used is panel data regression with the Fixed Effect Model (FEM). After estimating the selected model, the results show that the average per capita expenditure of households for food and the percentage of malnourished children under five is not significantly influential. Meanwhile, based on the results of the Individual Effect or Cross-Section Fixed Effect, the highest percentage of dwarf children was in West Sulawesi Province while the lowest was in Riau Islands Province. Keywords: Per capita expenditure, school participation, open unemployment rate, malnutrition toddlers

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ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI IMPOR KEDELAI DI INDONESIA

Forum Agribisnis ◽

10.29244/fagb.9.2.160-184 ◽

2019 ◽

Vol 9 (2) ◽

pp. 160-184

Author(s):

Naufal Nur Mahdi ◽

Suharno Suharno

Keyword(s):

Panel Data ◽

World Bank ◽

Secondary Data ◽

Gravity Models ◽

Gdp Per Capita ◽

Soybean Production ◽

Production And Consumption ◽

Ministry Of Finance ◽

Per Capita ◽

The Government

Domestic soybean production that has not been able to meet national soybean needs is an implication of the decline in soybean harvested area in Indonesia. The opposite condition occurs at the level of demand for soybeans which increases every year. The soybean import policy is an alternative step for the government to overcome the gap between soybean production and consumption in Indonesia. Soybeans in this study are not separated from the type, namely with HS code 1201 (Soya beans, whether or not broken). This study aims to analyze the factors that influence soybean imports in Indonesia by using secondary data from 2002 to 2017 in the form of panel data with gravity models. The data used in this study came from UN Comtrade, World Bank, CEPII, FAOSTAT, Ministry of Trade and Ministry of Finance. The estimation results show that the variables that significantly influence the volume of imports of Indonesian soybeans are the variable GDP per capita Indonesia, GDP per capita of the country of origin of imports, domestic soybean prices, domestic soybean production and soybean import tariffs.

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Determination of Rice Prices to the Welfare of Petani in West Sumatra Province

International Journal of Social Science and Human Research ◽

10.47191/ijsshr/v5-i1-05 ◽

2022 ◽

Vol 05 (01) ◽

Author(s):

Lili Salfina ◽

Keyword(s):

Panel Data ◽

Research Method ◽

Secondary Data ◽

Well Being ◽

Multiple Line ◽

West Sumatra ◽

Rice Consumption ◽

Rice Prices ◽

Per Capita

The study aims to analyze the influence of rice production, crop dry grain prices (GKP), rice consumption, per capita income and the number of people moderated by rice prices that impact on farmers' well-being. This research method uses a quantitative approach with panel data. The study was conducted in West Sumatra Province in 19 districts / cities with secondary data from the Central Statistics Agency (BPS) of West Sumatra Province in 2013 - 2019. Data analysis uses multiple line regression with panel data.

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Pengaruh Audit Tenure dan Komite Audit Terhadap Kualitas Laba Pada Perusahaan Manufaktur yang Terdaftar Di Bursa Efek Indonesia Tahun 2009-2011

Al-Buhuts ◽

10.30603/ab.v14i01.479 ◽

2017 ◽

Vol 13 (2) ◽

pp. 127-145

Author(s):

Sayuthi Sayuthi

Keyword(s):

Regression Analysis ◽

Panel Data ◽

Research Method ◽

Audit Committee ◽

Stock Exchange ◽

Secondary Data ◽

Target Population ◽

Financial Statements ◽

Negative Influence ◽

Manufacturing Company

This study aims to provide empirical evidence on the effect of audit tenure and audit committee to earning of quality. The research was conducted at a manufacturing company listed on the Indonesia Stock Exchange in 2009-2011. This type of study is a research verificative or hypothesis testing research. The research method used in this research is census and balanced panel data. Target population in this study is a manufacturing company that has complete data for all variables studied. The population of this study is 39 firms which observed periods are 3 years. The data collection techniques using secondary data from financial statements have been audited and published www.idx.co.id obtained from website to the financial statements in the period 2009-2011. The hypothesis is tested by using multiple regression analysis. This result shows that (1) when there is not audit tenure and audit committee, earning of quality is at 95,4% and is not at 100% (2) audit tenure and audit committee simultaneously have negative influence toward earning of quality (3) Audit tenure and audit committee partially has negative influence toward earning of quality.

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ANALISIS DETERMINAN KESEJAHTERAAN ANAK DI INDONESIA

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v1i2.6283 ◽

2019 ◽

Vol 1 (2) ◽

pp. 589

Author(s):

Rilla Mariska ◽

Dewi Zaini Putri

Keyword(s):

Child Welfare ◽

Income Distribution ◽

Health Sector ◽

Secondary Data ◽

Least Square ◽

Literacy Rate ◽

Income Per Capita ◽

Library Studies ◽

Per Capita ◽

Female Literacy

This study aims to find out determine of child welfare in Indonesia by using Composite Children Welfare Index. The data used are secondary data in the form of cross section in 2015, with documentation data collection techniques and library studies obtained from relevant institutions and agencies. The variables used are Child Welfare, Income per capita, Income Distribution, Female Literacy Rate, Goverment Expenditure in education and health sector. The research methods used are: (1) Ordinary Least Square (OLS) Analysis, (2) Classical Assumption Test. The results of the study show that (1) Income per capita is positive and not significant on the child welfare in Indonesia. (2) Income distribustion is positive and significant on the child welfare in Indonesia. (3) Female Literacy Rate is positive and significant on the child welfare in Indonesia. (4) Goverment expenditure in education sector is negative and not significant on the child welfare in Indonesia(5) Goverment expenditure in health sector is negative and not significant on the child welfare in Indonesia(5) Income per capita, distribution income, female literacy rate, and goverment expenditure in eduacation and health statistically significant on the child welfare. So, only income distribution and female rate literacy is significant on the child welfare.

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ANALISIS PENGARUH SOSIAL EKONOMI TERHADAP PENGELOLAAN SAMPAH DI SUMATERA BARAT (STUDI KASUS DAERAH PERKOTAAN)

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v2i1.8864 ◽

2020 ◽

Vol 2 (1) ◽

pp. 107

Author(s):

Nesyana Dewi ◽

Melti Roza Adry

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Waste Management ◽

Cross Section ◽

Urban Areas ◽

Secondary Data ◽

Cross Section Data ◽

Income Per Capita ◽

Section Data ◽

Per Capita

This study aims to determine the effect of education, income per capita, age and knowledge on waste management in urban areas West Sumatera. This study uses secondary data in the form of cross section data of urban West Sumatera. Data obtained from BPS- Susenas West Sumatera. This study uses logistic regression analysis. The result of this study indicate that (1) education has not significant effect on waste management in urban areas West Sumatera (2) income per capita has not significant effect on waste management in urban areas West Sumatera (3) age has not significant effect on waste management in urban areas West Sumatera (4) knowledge has a significant effect on waste management in urban areas West Sumatera

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PENGARUH UPAH SEKTOR INDUSTRI, TINGKAT PENDIDIKAN, DAN INVESTASI ASING TERHADAP PENYERAPAN TENAGA KERJA SEKTOR INDUSTRI DI INDONESIA

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v2i4.10371 ◽

2020 ◽

Vol 2 (4) ◽

Author(s):

Agung Febrian Usman ◽

Sri Ulfa Sentosa

Keyword(s):

Panel Data ◽

Foreign Investment ◽

Agricultural Sector ◽

Least Square ◽

Estimation Result ◽

Ordinary Least Square ◽

Result Show ◽

Library Studies

Abstract: This research aims to examined the effect of industry of wage, education and forigninvestment on the agricultural sector labor industry in Indonesia with the selected model is the RandonEffect Model (REM ). The data used is panel data during the period 2014-2018, with thw twchnique ofcollecting documentation data and library studies obtained fromm relevant institution and agencies.Thevariables use are industry of wage (X1), education (X2), foreign invesment (X3), . the research methodused is Ordinary Least Square (OLS). The estimation result show that industry of wage have a positiveand its significant effect on the agricultural sector labor industry in Indonesia. Education have anegative and significant effect on the agricultural sector labor industry in Indonesia. foreign investmenthave a positife and its siknificant effect the agricultural sector industry Indonesia. Meanwhilesimultaneously industry of wage, education and foreign investment effect the agricultural sector laborindustry in Indonesia.Keywords: Agricultural Sector Labor Industry, Industry Of Wage, Education, Foreign Investment, andOrdinary Least Square (OLS)

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ANALISIS PENGARUH BELANJA MODAL TERHADAP PERTUMBUHAN EKONOMI DAN KETIMPANGAN PENDAPATAN DI SUMATERA BARAT

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v2i4.10387 ◽

2020 ◽

Vol 2 (4) ◽

Author(s):

Yohana Pranita ◽

Idris Idris

Keyword(s):

Economic Growth ◽

Panel Data ◽

Income Inequality ◽

Regression Model ◽

Capital Expenditure ◽

Secondary Data ◽

Simultaneous Equation ◽

Equation Model ◽

Capital Expenditures ◽

West Sumatra

Abstrak : This study aims to determine and analyze the effect of capital expenditureon economic growth and income inequality in West Sumatra. This research isdescriptive and inductive. The data used in this study is secondary data with datacollection using panel data obtained from BPS West Sumatra Province 2014-2018period with 19 regencies / cities in West Sumatra. This study analyzed using asimultaneous equation model (simultaneous equation regression model). The resultsof this study indicate that (1) Capital Expenditures have a significant effect onEconomic Growth in West Sumatra (2) Capital Expenditures have no significanteffect on Income Inequality in West Sumatra (3) Simultaneously Capital Expendituresand Economic Growth have a significant effect on Income Inequality in WestSumatra.Keyword : Capital Expenditure, Economic Growth, Income Inequality

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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

Journal of Islamic Economic Laws ◽

10.23917/jisel.v2i2.8679 ◽

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.

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Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

Jurnal Biometrika dan Kependudukan ◽

10.20473/jbk.v8i2.2019.101-108 ◽

2019 ◽

Vol 8 (2) ◽

pp. 101

Author(s):

Annisa Dwinda Shafira

Keyword(s):

Panel Data ◽

Population Density ◽

Time Series Data ◽

Secondary Data ◽

Series Data ◽

Panel Regression ◽

Affecting Factors ◽

Factors Affecting ◽

Panel Data Regression ◽

Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014–2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014–2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

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