IMPACT OF INVESTMENT, LABOR, AND INFRASTRUCTURE ON JAVA ISLAND ECONOMIC GROWTH 2011-2017

The study aims to determine and analyze the effect of investment, labor, and infrastructure on economic growth in Java in 2011-2017. This research is a quantitative study using secondary data from six provinces in Java (DKI Jakarta, West Java, Central Java, Special Region of Yogyakarta, East Java and Banten) obtained from the Central Statistics Agency. Analysis of the data used in this study is panel regression of fixed effect model data using the General Least Square (GLS) method. The results showed that individually the domestic investment variable, labor, clean water infrastructure had a significant influence on economic growth while foreign investment had no significant effect on economic growth. Suggestions: 1) local governments are expected to increase the potential of each region to attract investors; 2) local governments are expected to create a conducive investment climate and facilitate investment licensing; 3) local governments are expected to increase the allocation of education funds and provide training in foreign languages and skills to the workforce; 4) local governments should make better plans for the distribution of clean water and improve the efficiency of the use of clean water.© 2019, Universitas Negeri Semarang Penelitian bertujuan untuk mengetahui dan menganalisis pengaruh investasi,tenaga kerja, dan infrastruktur terhadap pertumbuhan ekonomi di Pulau Jawa tahun 2011-2017. Penelitian ini merupakan penelitian kuantitatif menggunakan data sekunder enam provinsi di Pulau Jawa (DKI Jakarta, Jawa Barat, Jawa Tengah, Daerah Istimewa Yogyakarta, Jawa Timur, dan Banten) yang diperoleh dari Badan Pusat Statistik.Analisis data yang digunakan pada penelitian ini adalah regresi data panel model fixed effect menggunakan metode General Least Square (GLS). Hasil penelitian menunjukkan bahwa secara individu variabel penanaman modal dalam negeri, tenaga kerja, infrastruktur air bersih memiliki pengaruh signifikanterhadap pertumbuhan ekonomi sedangkanpenanaman modal luar negeri tidak berpengaruh signifikan terhadap pertumbuhan ekonomi. Saran: 1) pemerintah daerah diharapkan meningkatkan potensi setiap daerah agar menarik para investor; 2) pemerintah daerah diharapkan menciptakan iklim investasi yang kondusif dan mempermudah perizinan investasi; 3) pemerintah daerah diharapkan meningkatkan alokasi dana pendidikan dan memberikan pelatihan bahasa asing dan ketrampilan kepada tenaga kerja; 4) pemerintah daerah hendaknya membuat perencanaan distribusi air bersih yang lebih baik lagi dan meningkatkan efisiensi penggunaan air bersih.

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Determinan Kemiskinan di Provinsi Jawa Tengah Tahun 2011-2014

Economics Development Analysis Journal ◽

10.15294/edaj.v7i3.25255 ◽

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.

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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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The Influence of Human Capital on Economic Growth

International Journal of Science and Society ◽

10.54783/ijsoc.v3i2.313 ◽

2021 ◽

Vol 3 (2) ◽

pp. 24-30

Author(s):

Riyanto Wujarso

Keyword(s):

Economic Growth ◽

Human Capital ◽

Local Governments ◽

Secondary Data ◽

Fixed Effect Model ◽

High Productivity ◽

Education And Health ◽

Effect Model ◽

Financial Growth ◽

Dominant Influence

This research examines the effect of human capital on regional financial development in West Java Province from 2017 to 2019. This study's procedure employs a quantitative approach, and the data used is secondary data. Secondary evidence in this analysis comes from BPS data reporting. Panel regression with the GLS fixed-effect model approach was used as the research technique. The results of this study are the human capital variable, namely the level of education level. Based on the estimation results in this study, the education variable is considered the variable with the most dominant influence on economic growth. This research also provides suggestions to local governments so that there is a need for an increase in regional expenditure allocations for the education and health sectors to improve the workforce's quality so that they can have high productivity that can encourage financial growth.

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The impact of corruption on the economic growth in Bangladesh, India and Pakistan: An ARDL approach

Independent Journal of Management & Production ◽

10.14807/ijmp.v12i8.1470 ◽

2021 ◽

Vol 12 (8) ◽

pp. 2079-2093

Author(s):

Md. Mamun Miah ◽

Tahmina Akter Ratna ◽

Shapan Chandra Majumder

Keyword(s):

Economic Growth ◽

Correction Term ◽

Negative Relationship ◽

Secondary Data ◽

Fixed Effect Model ◽

Positive Influence ◽

Fixed Effect ◽

Ardl Model ◽

Effect Model ◽

The Impact

Purpose of the study: Main purpose of the paper is to find out the impact of corruption on the economic growth of Bangladesh, India, and Pakistan. At the same time, our other objectives are to find the long and short-run effects of corruption on growth in these countries. Methodology: For conducting the study, we have taken the data from Bangladesh, India, and Pakistan. For this study necessary secondary data have been collected from 1990 to 2016 based on countries like Bangladesh, India, and Pakistan. Data for economic growth (dependent) and trade (independent) are collected from World Development Bank and data for corruption are taken from International Country Risk published by the PRS Group. The study has used ECM ARDL Model and the Fixed Effect Model. Findings: The result of the fixed effect model shows a 1percent increase in corruption decreases GDP by 0.07 units and shows a negative relationship with economic growth. Again if trade increases by 1 percent then growth will increase by 0.09 units on average and shows a positive relationship with economic growth. ECM ARDL Model shows the positive coefficient of corruption but not significant but trade has a long-run positive influence on economic growth. The error correction term indicating that the adjustment is corrected by 70% in these three countries. Contributions: This paper may be helpful for existing literature gap and also for further research. It will be helpful for policy makers to control corruption in three countries.

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Peran Pertumbuhan Ekonomi Dalam Menurunkan Kemiskinan di Tingkat Provinsi di Indonesia Tahun 2004-2012

MODUS ◽

10.24002/modus.v28i1.669 ◽

2016 ◽

Vol 28 (1) ◽

pp. 91

Author(s):

Denni Setiawan Jayadi ◽

Aloysius Gunadi Brata

Keyword(s):

Economic Growth ◽

Poverty Reduction ◽

Secondary Data ◽

Data Bank ◽

Fixed Effect Model ◽

Negative Influence ◽

Fixed Effect ◽

Mining Sector ◽

Effect Model ◽

Panel Data Regression

Abstrak Penelitian ini bertujuan untuk mengetahui dan menganalisis peran pertumbuhan ekonomi terhadap penurunan kemiskinan dilihat dari sektoral tahun 2004–2012. Variabel yang digunakan adalah jumlah penduduk miskin sebagai variabel dependen dan Produk Domestik Regional Bruto (PRDB) di sembilan sektor sebagai variabel independen. Data yang digunakan dalam penelitian ini merupakan data sekunder yang diperoleh dari terbitan world data bank. Metode analisis yang digunakan adalah regresi data panel dengan pendekatan model fixed effect. Dalam mengolah data, penulis menggunakan bantuan software Eviews 8.1. Berdasarkan hasil estimasi di peroleh bahwa secara keseluruhan pertumbuhan ekonomi berpengaruh negatif dan signifikan terhadap kemiskinan di tingkat Provinsi di Indonesia. Selanjutnya dilihat dari segi sektoral ditemukan bahwa variabel sektor per-tambangan memiliki pengaruh yang negatif dan signifikan terhadap penurunan kemiskinan. Hal itu disebabkan adanya commodities boom terhadap komoditi hasil tambang. Sehingga sektor pertambangan bukanlah sektor yang menjadi kunci dalam penurunan kemiskinan namun terjadinya commodities boom memiliki pengaruh terhadap penurunan kemiskinan di Provinsi di Indonesia. Kata Kunci : Fixed Effect, Kemiskinan, PDRB sektoral, pertumbuhan ekonomi, commodities boom. AbstractThis study aims to identify and analyze the role of economic growth on poverty reduction seen from sectors in 2004-2012. The variables used were the number of poverty as the dependent variable and the Gross Regional Domestic Product (GRDP) in nine sectors as independent variables. The data used in this research is secondary data obtained from the data published by the World Bank. The analytical method used is the panel data regression with fixed effect model approach. In processing the data, the authors using statistical software Eviews 8.1.Based on estimates obtained that overall economic growth is negative and have significant effect on poverty at the provincial level in Indonesia. Furthermore, in terms of sectoral found that variable per-mining sector has a negative influence and significant impact on poverty reduction. It was caused by the commodities boom of the commodity mined. So that the mining sector is not a sector that is key in reducing poverty, but the commodities boom have an impact on poverty reduction in the province in Indonesia. Keywords: Fixed Effect, poverty, the GDP sectoral, economic growth, commodities boom.

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Fiscal Decentralization and Regional Economic Growth

Economics Development Analysis Journal ◽

10.15294/edaj.v8i1.29879 ◽

2019 ◽

Vol 8 (1) ◽

pp. 108-119

Author(s):

Hadi Sasana

Keyword(s):

Economic Growth ◽

Local Governments ◽

Fiscal Decentralization ◽

Private Investment ◽

Fixed Effect Model ◽

Central Java ◽

Effect Model ◽

Independent Variable ◽

The Subject ◽

Positive Effect

Fiscal decentralization in Indonesia initiated in 2001 has proven to be effective and efficient; although, its implementation still need to be evaluated. The aim of the study was to analyze the implementation of fiscal decentralization on economic growth in Central Java. Tools multiple regression analysis using the method Fixed Effect Model (FEM).The period of the research was 9 years (2009-2017), and the subject of the was 35 districts/cities in Central Java Province. The dependent variable was economic growth, the independent variable was fiscal decentralization, and the control variables were investment and labor. The results showed that fiscal decentralization has a positive effect on economic growth in the district/city in Central Java. Other findings, private investment and the amount of labor encourage economic growth in Central Java. Based on findings, to reduce the fiscal gap, local governments should be able to increase their fiscal capacity through the development of commodity-based economic activity in their regions Keywords: Fiscal decentralization, Economic growth, Investment, Labor

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Pengaruh PDRB, Pendidikan, Kesehatan, Dan Pengangguran Terhadap Tingkat Kemiskinan Di Jawa Tengah (2011-2015)

Media Ekonomi dan Manajemen ◽

10.24856/mem.v33i1.563 ◽

2018 ◽

Vol 33 (1) ◽

Author(s):

Aria Bhaswara Mohammad Bintang ◽

Nenik Woyanti

Keyword(s):

Cross Section ◽

Fixed Effect Model ◽

Fixed Effect ◽

Least Square ◽

Poverty Level ◽

Dummy Variable ◽

School Year ◽

Central Java ◽

Effect Model ◽

Average School

AbstrakTingginya tingkat kemiskinan di Jawa Tengah menunjukkan perkembangan yang tidak dapat diandalkan yang masih belum dapat meningkatkan kesejahteraan secara merata. Oleh karena itu diperlukan analisis untuk mengidentifikasi beberapa faktor yang mempengaruhinya. Tujuan penelitian ini adalah untuk mengetahui beberapa faktor yang mempengaruhi tingkat kemiskinan di 35 Kabupaten / Kota Provinsi Jawa Tengah dari tahun 2011 sampai 2015. Penelitian ini menggunakan data sekunder yang meliputi 35 Kabupaten / Kota di Jawa Tengah berdasarkan data cross section dan dari 2011 sampai dengan 2015 pada data time series. Metode analisis dari penelitian ini adalah Fixed Effect Model (FEM) atau Least Square Dummy Variable (LSDV). Cross section dummy diperlukan karena perbedaan karakteristik dan sumber daya pada masing-masing Kabupaten dan Kota. Hasil penelitian menunjukkan bahwa pertumbuhan PDRB berpengaruh positif dan signifikan terhadap tingkat kemiskinan. Tingkat rata-rata lama sekolah dan tingkat harapan hidup memberikan pengaruh negatif dan signifikan terhadap tingkat kemiskinan. Di sisi lain, tingkat pengangguran memberi pengaruh positif dan signifikan terhadap tingkat kemiskinan.Kata kunci: kemiskinan, pertumbuhan PDRB, rata-rata lama sekolah, tingkat harapan hidup, pengangguran Abstract The high level of poverty in Central Java shows unreliable development that still cannot increase prosperity equally. Hence, analysis is required to identify several factors that affect. This research’s purpose is to identify several factors that affect the poverty level of the poverty level of 35 Districts/Cities of Central Java Province from 2011 until 2015.This research use secondary data containing 35 Districts/Cities of Central Java on cross section data and 2011 until 2015 on time series data. The analytical method of this research is Fixed Effect Model (FEM) or Least Square Dummy Variable (LSDV). Cross section dummy is required due the differences of characteristics and resources on each Districs and Cities.The results of this research show that Growth of PDRB gives positive and significant effect for poverty level. The Average School Year and Life Expectancy Rate give negative and significant effect for poverty level. On the other side, Unemployment Level give positive and significant effect for poverty level.Keywords : Poverty, Growth of PDRB, Average School Year, Life Expectancy Rate, Unemployment, Fixed Effect Model.

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Analisis Pengaruh PDRB, Tingkat Pengangguran, dan IPM Terhadap Tingkat Kemiskinan di Provinsi Jawa Tengah

Media Ekonomi dan Manajemen ◽

10.24856/mem.v33i2.671 ◽

2018 ◽

Vol 33 (2) ◽

Author(s):

Ridho Andhykha ◽

Herniwati Retno Handayani ◽

Nenik Woyanti

Keyword(s):

Time Series ◽

Cross Section ◽

Human Development Index ◽

Fixed Effect Model ◽

Fixed Effect ◽

Least Square ◽

Poverty Level ◽

Dummy Variable ◽

Central Java ◽

Effect Model

AbstrakTingginya tingkat kemiskinan di Jawa Tengah menunjukkan proses pembangunan ekonomi yang belum bisa meningkatkan kesejahteraan masyarakat secara merata. Dengan demikian, diperlukan adanya analisis untuk mengetahui factor-faktor yang mempengaruhi kemiskinan dalam rangka mengatasi kemiskinan. Tujuan dari penelitian ini yaitu menganalisis Produk Domestik Regional Bruto (PDRB), Tingkat Kemiskinan, Indeks Pembangunan Manusia (IPM) yang mempengaruhi kemiskinan pada 35 Kabupaten/Kota di Provinsi Jawa Tengah dari tahun 2011 hingga 2015. Penelitian ini menggunakan data sekunder dengan data cross-section terdiri dari 35 Kabupaten/Kota di Provinsi Jawa Tengah dan data time-series yaitu tahun 2011-2015. Alat analisis yang digunakan dalam dalam mengestimasi model regresi data panel yaitu Fixed Effect Model (FEM) atau disebut juga Least Square Dummy Variable. Hasil penelitian menunjukkan bahwa variabel laju pertumbuhan PDRB berpengaruh positif dan signifikan terhadap Tingkat Kemiskinan. IPM berpengaruh negatif dan signifikan terhadap Tingkat Kemiskinan. Sedangkan Tingkat Pengangguran Terbuka berpengaruh positif dan signifikan terhadap Tingkat Kemiskinan. Kata kunci: Kemiskinan, Laju Pertumbuhan PDRB, Indeks Pembangunan Manusia (IPM), Fixed Effect Model. AbstractThe high level of poverty in Central Java shows unreliable development that still cannot increase prosperity equally. Hence, analysis is required to identify several factor that affect. This research’s purpose is to identify Gross Domestic Regional Product (GDRP), Unemployment Level, Human Development Index (HDI) that affect the poverty level of the poverty level of 35 Districts/Cities of Central Java Province from 2011 until 2016. This research uses secondary data containing 35 Districts/Cities of Central Java on cross section data and 2011 until 2016 on time series data. The analytical method of this research is Fixed Effect Model (FEM) or Least Square Dummy Variable (LSDV). The results of this research show that Growth of GDRP gives positive and significant effect for poverty level. HDI give negative and significant effect for poverty level. On the other side, Unemployment Level give positive and significant effect for poverty level. Keyword: Poverty, Growth of GDRP, Human Development Index (HDI), Unemployment, Fixed Effect Model.

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Pengaruh Indeks Pembangunan Manusia dan Angkatan Kerja terhadap Produk Domestik Regional Bruto

Economics Development Analysis Journal ◽

10.15294/edaj.v5i4.22174 ◽

2018 ◽

Vol 5 (4) ◽

pp. 368-376

Author(s):

Andini Mulyasari

Keyword(s):

Human Development ◽

Significant Influence ◽

Human Development Index ◽

Fixed Effect Model ◽

Fixed Effect ◽

Least Square ◽

Development Index ◽

Central Java ◽

Effect Model ◽

Panel Data Regression

Tujuan penelitian ini adalah untuk menganalisis besaran pengaruh indeks pembangunan manusia dan angkatan kerja yang bekerja terhadap PDRB Kabupaten/Kota di Jawa Tengah Tahun 2010-2014. Penelitian ini menggunakan analisis regresi data panel melalui pendekatan Fixed Effect Model (FEM) dengan metode Generalized Least Square (GLS). Hasil penelitian menunjukan bahwa secara bersama-sama variabel indeks pembangunan manusia dan angkatan kerja yang bekerja berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah. Sedangkan hasil secara parsial menunjukan bahwa indeks pembangunan manusia berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah dan angkatan kerja yang bekerja juga berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah. The purpose of this study was to analyze the influence of human development index and labor toward GRDP regency/city in Central Java 2010-2014. This study used panel data regression analysis through Fixed Effect Model (FEM) approach with the Generalized Least Square (GLS) method. The results of this study showed that the variable of human development index and labor has positive and significant influence to the GRDP regency/city in Central Java. While the partial results showed that the index of human development have positive and significant influence to the GRDP regency/city in Central Java and the labor have positive and significant influence to the GRDP regency/city in Central Java.

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The INFLUENCE OF PRODUCTION FACTORS TOWARD ECONOMIC GROWTH IN INDONESIA

Asia Proceedings of Social Sciences ◽

10.31580/apss.v4i1.565 ◽

2019 ◽

Vol 4 (1) ◽

pp. 44-46

Author(s):

Wilson Bangun

Keyword(s):

Economic Growth ◽

Secondary Data ◽

Least Square ◽

Production Factor ◽

Domestic Investment ◽

Ordinary Least Square ◽

Production Factors ◽

The People ◽

Data Production ◽

Using Data

Economic growth as a mesurement and reflect of the people prosperity. Employee production factor have a better contribution if to compare with capital and technology production factors on Indonesian economic growth. However, Indonesian workforce quality is lowest in ASEAN-5. The research methodology is using the Cobb-Douglas production function with the Ordinary Least Square (OLS), the using equation formulation: lnY = ln a + bi +e. This research using data is secondary data: production factors using data of progressing of FDI and domestic investment, source of the World Bank, 2004-2016; Employment is using data of progressing of Indonesia workforce, sourced from the Biro Pusat Statistik Republik Indonesia, 2004-2016. The research results show that influence of the production factors toward Indonesia economic growth is strongly. This researchs aim to knowledge a large the contribution of production factors on Indonesian Economic growth.

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