Analisis pengaruh produktivitas tenaga kerja, ketimpangan pendapatan, dan investasi terhadap pertumbuhan ekonomi di Indonesia periode 2009-2018

This study aims to analyze the effect of labor productivity, income inequality, and investment oneconomic growth in Indonesia. The data used is panel data consisting of time series data for 2009 -2018 and a cross section of 34 provinces in Indonesia. The variables used are economic growth,labor productivity, income inequality, and investment. The analysis tool used is panel dataregression, namely the Fixed Effect Model (FEM). The results showed that labor productivity had apositive and significant effect on economic growth, income inequality had a negative andsignificant effect, while investment had no effect on economic growth in 34 provinces in 2009-2018.

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ANALISIS PENDAPATAN ASLI DAERAH DAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA PADA KABUPATEN/KOTA DI PROVINSI SUMATERA BARAT

Jurnal Benefita ◽

10.22216/jbe.v4i3.4502 ◽

2019 ◽

Vol 4 (3) ◽

pp. 536

Author(s):

Olvi Verdian Abdillah ◽

Hefrizal Handra ◽

Adrimas Adrimas

Keyword(s):

Time Series ◽

Cross Section ◽

Central Government ◽

Time Series Data ◽

Fixed Effect Model ◽

Fixed Effect ◽

Series Data ◽

Section Data ◽

Effect Model ◽

West Sumatra

This study aims to analyze the factors that affect of the Local Own-Source Revenue (OSR) in West Sumatra. As for the data used is the data panel, which is the combination of time series data for 2010-2017 and cross-section data in 19 regencies/city in West Sumatra. Based on the the regression test using the Fixed Effect Model (FEM) obtained results that all of the three independent variables are significantly affect to OSR. On the other hand, based on the partial test, obtained that only dummy variables which representing the policy of transfer authority to managing of rural and urban land and buildings taxes (PBB-P2) from the central government to the local government does not significantly affect the OSR, while the two other variables per-capita GDRP and the number of electric customers partially significantly affect PAD. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi Pendapatan Asli Daerah (PAD) di Sumatera Barat. Adapun data yang digunakan merupakan data panel, yaitu kombinasi data time series tahun 2010-2017 dan data cross-section pada 19 Kabupaten/Kota di Sumatera Barat. Berdasarkan hasil uji regresi menggunakan Fixed Effect Model (FEM) diperoleh hasil bahwa secara bersama-sama ketiga variabel bebas signifikan mempengaruhi PAD.Sementara pada uji parsial diperoleh hasil bahwa hanya variabel dummy yang mewakili kebijakan transfer kewenangan pengelolaan Pajak Bumi Bangunan Pedesaan dan Perkotaan (PBB-P2) dari pusat ke daerah tidak signifikan mempengaruhi PAD, sementara dua variabel bebas lainnya yaitu PDRB Perkapita dan jumlah pelanggan listrik secara parsial signifikan mempengaruhi PAD.ABSTRACT<span style="font-size: 11pt; font-family: 'Times New Roman', serif; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;" lang="EN-US">This study aims to analyze the factors that affect of the Local Own-Source Revenue (OSR) in West Sumatra. As for the data used is the data panel, which is the combination of time series data for 2010-2017 and cross-section data in 19 regencies/city in West Sumatra. Based on the the regression test using the Fixed Effect Model (FEM) obtained results that all of the three independent variables are significantly affect to OSR. On the other hand, based on the partial test, obtained that only dummy variables which representing the policy of transfer authority to managing of rural and urban land and buildings taxes (PBB-P2) from the central government to the local government does not significantly affect the OSR, while the two other variables per-capita GDRP and the number of electric customers partially significantly affect PAD.

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Import Structure and Economic Growth: A Comparison of Cross-Section and Time-Series Data

Economic Development and Cultural Change ◽

10.1086/450213 ◽

1967 ◽

Vol 15 (2, Part 1) ◽

pp. 143-162

Author(s):

Nassau A. Adams

Keyword(s):

Economic Growth ◽

Time Series ◽

Cross Section ◽

Time Series Data ◽

Series Data

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The Gap in Economic Growth from Foreign Investment and Domestic Investment across Provinces in Indonesia

Electronic Journal of Education, Social Economics and Technology ◽

10.33122/ejeset.v1i1.7 ◽

2020 ◽

Vol 1 (1) ◽

pp. 34-38

Author(s):

Asnawi Asnawi ◽

Irfan Irfan ◽

M. Fathul Chairi Ramadhani

Keyword(s):

Economic Growth ◽

Foreign Investment ◽

Time Series Data ◽

Secondary Data ◽

Fixed Effect Model ◽

Positive Influence ◽

Series Data ◽

Domestic Investment ◽

Effect Model ◽

Negative Effect

The study aims to determine the effect of Foreign Investment (FDI) and Domestic Investment (PMDN) on Cross-Province Economic Growth in Indonesia in 2014-2018. This study uses secondary data with Panel and Poled data consisting of 34 provinces in Indonesia, and use the 5 years time-series data during 2014-2018. The analytical method used is the panel regression analysis method with the Fixed Effect model and poled model. The results showed that foreign investment and domestic investment had a positive and significant effect on economic growth across provinces in Indonesia. Furthermore, the results of the study show that foreign investment and domestic investment have a significant and positive effect on economic growth in 8 provinces in Indonesia, and the foreign investment has a significant and positive influence on economic growth in 9 Provinces in Indonesia. However, only North Maluku, where foreign investment has a significant and negative effect on economic growth, and domestic investment significantly and positively affects economic growth in 6 provinces in Indonesia.

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ANALISIS REGRESI DATA PANEL TERHADAP INDEKS PEMBANGUNAN MANUSIA (IPM) JAWA TIMUR TAHUN 2006-2015

Majalah Ilmiah Matematika dan Statistika ◽

10.19184/mims.v18i2.17250 ◽

2018 ◽

Vol 18 (2) ◽

pp. 69

Author(s):

Muhammad Jamil Hidayat ◽

Alfian Futuhul Hadi ◽

Dian Anggraeni

Keyword(s):

Time Series ◽

Panel Data ◽

Cross Section ◽

Fixed Effect Model ◽

Fixed Effect ◽

Series Data ◽

Cross Section Data ◽

Section Data ◽

Effect Model ◽

Per Capita

Panel data is a combination of time series and cross section data. Panel data regression is used because in a time there is time researchers can’t perform analysis only by using time series data and cross section data only. This is because the number of factors used in the analysis phase, so that if the researcher only uses cross section data then the researcher can’t see the influence of factors that affect as well as on the growth of HDI that occurs from time to time in a certain period. Whereas it is quite possible that the conditions between one year and another will be different. Based on the model estimation, it is used with fixed effect model (FEM) approach. Modeling HDI with FEM in 2006-2015 period resulted in R2 value of 94.23%. The results showed that from 2006-2015 the ratio of student-teacher (RST), health facilities (HF), percentage of expenditure per capita by group of food (PPF) and regional per capita expenditure (PPE) have significant effect to HDI. Keywords: HDI, Panel, Fixed Effect Model

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HUBUNGAN KAUSALITAS ANTAR KETIMPANGAN PENDAPATAN, PERTUMBUHAN EKONOMI, DAN KEMISKINAN DI INONESIA

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v3i1.11542 ◽

2021 ◽

Vol 3 (1) ◽

pp. 79

Author(s):

Dicky Fernando ◽

Syamsul Amar

Keyword(s):

Economic Growth ◽

Time Series ◽

Income Inequality ◽

Regression Model ◽

Causal Relationship ◽

Annual Report ◽

Time Series Data ◽

Series Data ◽

Panel Regression ◽

Causality Relationship

This study aims to explain the causality relationship between income inequality, economic growth, and poverty in Indonesia. In this study using a panel regression model. And data used are time series data from 2011-2017, Consisting of 32 provinces. This data is obtained from BPS annual report. The result of this study indicate that (1) There is no causal relationship between economic growth and poverty (2) There is a causal relationship between income inequality and poverty (3) There is a one-way causal relationship between economic growth and income inequality.

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ANALISIS KAUSALITAS PERTUMBUHAN EKONOMI, KEMISKINAN, DAN KETIMPANGAN PENDAPATAN DI SUMATERA BARAT

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v1i3.7705 ◽

2019 ◽

Vol 1 (3) ◽

pp. 781

Author(s):

Riri Agustina Fratiwi ◽

Mike Triani

Keyword(s):

Economic Growth ◽

Time Series ◽

Income Inequality ◽

Regression Model ◽

Causal Relationship ◽

Annual Report ◽

Time Series Data ◽

Series Data ◽

Panel Regression

This stuudy”explains the analysis causality of economic”growth poverty, and income”inequality in west”sumatera. The method used is to a panel regression model. This data uses a combination of time series data”from 2013-2017, which consists of 19 city districts. Data obtained from BPS annual”report (Statistics Indonesia). The”results of”this study show that (1) there is no”causall relationship”between”economic”growth and poverty (2) there is a causal relationship”between”economic”growth”and inequality (3) there is no causal relationship”between poverty”and income”inequaality.

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THE ROLE OF BUSINESS TRUST, CONSUMER CONFIDENCE AND THE DEVELOPMENT OF INFORMATION AND COMMUNICATION TECHNOLOGY ON ECONOMIC GROWTH IN G20 COUNTRIES

MBIA ◽

10.33557/mbia.v20i2.1435 ◽

2021 ◽

Vol 20 (2) ◽

pp. 141-151

Author(s):

Hardiansa Nur Syahputra ◽

Marselina Marselina ◽

Neli Aida

Keyword(s):

Economic Growth ◽

Time Series ◽

Cross Section ◽

Rule Of Law ◽

Fixed Effect Model ◽

Growth Conditions ◽

Fixed Effect ◽

Consumer Confidence ◽

Effect Model ◽

Information And Communication

This study aims to analyze the condition of business trust, consumer trust, rule of law, developments in technology,information, and communication, and their influence on ASEAN economic growth. The data used is panel dataconsisting of time series data for 2009 – 2020 and a cross-section of 10 countries with the highest level of businessconfidence in G20 Member countries. The variables used are economic growth, conditions of business trust,consumer confidence, rule of law, development of technology, information, and communication. The analyticaltool used is panel data regression, namely the Fixed Effect Model (FEM). An increase in business confidence andconsumer confidence will have an impact on increasing economic growth. In the research results, business trust has the most influence. Keywords: Economic Growth, Conditions of Business Trust, and Consumer Confidence. Abstrak Penelitian ini bertujuan untuk menganalisis kondisi kepercayaan bisnis, kepercayaan konsumen, supremasi hukum, perkembangan teknologi, informasi, dan komunikasi, serta pengaruhnya terhadap pertumbuhan ekonomi ASEAN. Data yang digunakan adalah data panel yang terdiri dari data time series tahun 2009 – 2020 dan cross section dari 10 negara dengan tingkat kepercayaan bisnis tertinggi di negara-negara Anggota G20. Variabel yang digunakan adalah pertumbuhan ekonomi, kondisi kepercayaan bisnis, kepercayaan konsumen, supremasi hukum, perkembangan teknologi, informasi, dan komunikasi. Alat analisis yang digunakan adalah regresi data panel yaitu Fixed Effect Model (FEM). Meningkatnya kepercayaan bisnis dan kepercayaan konsumen akan berdampak pada peningkatan pertumbuhan ekonomi. Dalam hasil penelitian, kepercayaan bisnis memiliki pengaruh paling besar. Kata Kunci: Pertumbuhan Ekonomi, Kepercayaan Bisnis, dan Kepercayaan Konsumen.

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Pengaruh Investasi PMDN, PMA, dan Penyerapan Tenaga Kerja Terhadap Pertumbuhan Ekonomi dan Jumlah Penduduk Miskin Kabupaten/Kota di Provinsi Kalimantan Barat

Jurnal Ekonomi Bisnis dan Kewirausahaan ◽

10.26418/jebik.v6i2.22986 ◽

2017 ◽

Vol 6 (2) ◽

pp. 97 ◽

Cited By ~ 1

Author(s):

Yetty Agustini ◽

Erni Panca Kurniasih

Keyword(s):

Economic Growth ◽

Time Series ◽

Cross Section ◽

Foreign Investment ◽

Time Series Data ◽

Series Data ◽

Domestic Investment ◽

The West ◽

West Kalimantan ◽

Local Economic Growth

The purpose of the research is to know the influence of domestic investment, foreign investment, and the absorption of labor toward the local economic growth and the amount of people who live in poverty in regency/city in West Kalimantan. This study tested 6 (six) years data, from 2008 to 2013 using panel data in the form of time series data (2008-2013) and cross section (10 countries/ cities) in the West Kalimantan province. Data were analyzed using regression analysis via Eviews 6.0. The results of the research showed that: 1) Domestic Investment influnces positively and significant toward the growth of local economic in regency/city in West Kalimantan. 2) Foreign Investment influences positively and significant toward the growth of local economic in regency/city in West Kalimantan. 3) The Absorption of labor influences positively and is significant toward the amount of local economic growth in regency/city in West Kalimantan. 4) Economic growth influences negatively and significant toward the amount of people who live in poverty in regency/city in West Kalimantan

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Does the Covid-19 Outbreak Impacts On Economic Growth? An Evidence from Indonesia

International Journal of Global Operations Research ◽

10.47194/ijgor.v2i3.111 ◽

2021 ◽

Vol 2 (3) ◽

pp. 88-95

Author(s):

Hilda Aprina ◽

M. Sabri Abd. Majid ◽

Vivi Silvia

Keyword(s):

Economic Growth ◽

Time Series ◽

Cross Section ◽

Direct Investment ◽

Time Series Data ◽

Regression Coefficient ◽

Negative Impact ◽

Percent Level ◽

Series Data ◽

P Value

This study aims to analyze the effectS of the COVID-19 pandemic, labor, domestic direct investment (DDI), AND foreign direct investment (FDI) on economic growth in Indonesia. The type of data used in this study is panel data, which is a combination of cross-section and THE time series data (Silvia, 2020). The cross-section data involves 34 provinces and time-series data covers the period from the first quarter of 2018 to the second quarter of 2021. The result found out that the regression coefficient of labor has a positive and significant effect at the 5 percent level, which means that if the number of workers increases by 1 percent, economic growth will increase by 0.03 percent. Furthermore, the FDI variable also has a significant and positive effect on economic growth in Indonesia. We can see in table 3.2 that the FDI variable is significant at the 5 percent level with a regression coefficient of 0.012, this means that an increase in FDI by 1 percent will accelerate economic growth by 0.012 percent. From the results of data processing obtained by the author, it can be seen that the DDI variable has a positive but not significant effect on economic growth in Indonesia, this can be seen from the p-value which is greater than 5 percent. The regression coefficient of -0.001 proves that the COVID-19 pandemic has a negative impact on economic growth in Indonesia. When the COVID-19 pandemic reached the territory of Indonesia, economic growth slowed by 0.001 percent.

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Determinants of Regional Economics Growth

Media Ekonomi dan Manajemen ◽

10.24856/mem.v35i1.1208 ◽

2020 ◽

Vol 35 (1) ◽

pp. 52

Author(s):

Sri Nawatmi ◽

Agung Nusantara ◽

Agus Budi Santosa

Keyword(s):

Economic Growth ◽

Time Series ◽

Cross Section ◽

Time Series Data ◽

Fiscal Decentralization ◽

Regional Economics ◽

Fixed Effect ◽

Regional Economic Growth ◽

Series Data ◽

Regional Economic

This study aims to determine what factors influence regional economic growth. The analysis technique used is to combine time series data and cross-section (pooling data). Time-series data from 2015 - 2017 and cross section data consisting of 34 provinces in Indonesia. The results of the model test using the redundant fixed effect test and random effect-Hausman test show that the best model is the fixed effect model (FEM). Regression results show that only the HDI (Human Development Index) variable is not significant, the other variables (fiscal decentralization, capital, and labor) have a significant positive effect on regional economic growth.

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