scholarly journals Determinants of Regional Economics Growth

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

<p>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.</p>

scholarly journals ANALISIS DAMPAK KEPEMILIKAN SURAT BERHARGA OLEH BPD TERHADAP PERTUMBUHAN EKONOMI DAERAH

2018 ◽  
Vol 14 (1) ◽  
pp. 32-47
Author(s):  
Khairur dan Telisa Aulia Falian Raziqiin ◽  
Telisa Aulia Falian
Keyword(s):  
Economic Growth ◽  
New York ◽  
Time Series ◽  
Regional Development ◽  
Time Series Data ◽  
Financial Institution ◽  
Positive Influence ◽  
Regional Economic Growth ◽  
Series Data ◽  
Regional Economic

Local government-owned banks (BPD), was established in order to help accelerate the development of the area where the BPD located. The expected goals of this study are: To measure the effect of the placement of funds by BPD on regional economic growth, to measure investment lending by BPD to regional economic growth. Population was all the existing Regional Development Bank in Indonesia. Based on data from Bank Indonesia, the number of regional development banks perDesember 2013 as many as 26 banks. The type of data that will be used in this research is time series data (time series) from January 2009 until December 2013 The model that will be used in this research is the use of panel data. Results of research on Analysis of Impact of Ownership of Securities by BPD Against Regional Development, government capital spending, credit productive, ownership of securities by BPD positive effect on GDP, and significantly affect GDP, labor force have a positive influence on the GDP, but the effect was not significant workforce to GDP.Badan Pusat Statistik. Berbagai tahun. Data Realisasi APBD. Badan PusatStatistik, Jakarta. Bank Indonesia. Berbagai tahun. Laporan Publikasi Bank Umum. Bank Indonesia,Jakarta. Budiono. (2001). Ekonomi Moneter Edisi 3. Yogyakarta : BPFE Djojosubroto, Dono Iskandar. (2004). Koordinasi Kebijakan Fiskal dan Moneter di Indonesia Pasca Undang – undang Bank Indonesia 1999. Jakarta : Kompas Dornbusch, Rudiger, Stanley Fischer, Richard Startz. (2004). Makroekonomi. (Yusuf Wibisono, Roy Indra Mirazudin, terjemahan). Jakarta :MediaGlobal Edukasi. Gujarati, Damodar. (1997). Ekonometrika Dasar. (Sumarno Zein, terjemahan).Jakarta : Erlangga. Gultom, Lukdir. (2013). Tantangan Meningkatkan Efisiensi dan Efektifitas BPD sebagai Regional Champion Dalam Pengembangan Usaha Mikro, Kecil dan Menengah di Indonesia, Makalah SESPIBI Angkatan XXXI (Tidak Dipublikasikan). Bank Indonesia. Husnan, Suad. (2003). Dasar – dasar Teori Portofolio dan Analisis Sekuritas.Yogyakarta : UPP AMP YKPN. Kasmir. (2002). Dasar – Dasar Perbankan. Jakarta : PT. Raja Grafindo Persada. Kuncoro, Mudrajad. (2001) Metode Kuantitatif : Teori dan Aplikasi untuk Bisnis dan Ekonomi. Yogyakarta : AMP YKPN. Latumaerissa dan Julius R. (1999). Mengenal Aspek-aspek Operasi Bank Umum. Jakarta : Bumi Aksara. Lipsey, Richard G, et al. (1997). Pengantar Makro Ekonomi. ( Jaka Wasana danKibrandoko, terjemahan). Jakarta :Binarupa Aksara. Mankiw, Gregory. (2000). Macroeconomics Theory. New York : Worth PublisherInc. Nachrowi, Nachrowi D., Hardius Usman. (2006). Pendekatan Populer dan Praktis EKONOMETRIKA untuk Analisis Ekonomi dan Keuangan.Jakarta : Lembaga Penerbit FEUI. Rahmany, A. Fuad. (2004). Era Baru Kebijakan Fiskal : Pemikiran, Konsep dan Implementasi. Jakarta : Penerbit Buku Kompas, hal. 445 – 462. Rivai, Veithzal, Andria Permata Veithzal, Ferry N. Idroes. (2007). Bank and Financial Institution Management : Conventional & Sharia System, Jakarta : RajaGrafindo Persada. Sunarsip. (2008). Relasi Bank Pembangunan Daerah dan Perekonomian Daerah, dimuat dalam Republika, Rabu, 9 Januari 2008. Rubrik Pareto hal.16 Sunarsip. (2011). Transformasi BPD. Dimuat Infobank Edisi Januari 2011. Republik Indonesia, Kementrian Keuangan (2010), Potensi Bank Pembangunan Daerah Sebagai Pendiri Dana Pensiun Lembaga Keuangan,Tim Studi Potensi Bank Pembangunan Daerah Sebagai Pendiri Dana Pensiun. Jakarta.Waluyanto, Rahmat. (2004). Era Baru Kebijakan Fiskal : Pemikiran, Konsep dan Implementasi. Jakarta : Penerbit Buku Kompas, hal. 463 – 508. Wuryandari, Gantiah. (2013). Mengusung Bank Pembangunan Daerah (BPD) Sebagai Bank Fokus Sektor Strategis Dalam Mendukung Pembangunan Nasional, Makalah SESPIBI Angkatan XXXI (Tidak Dipublikasikan). Bank Indonesia.

scholarly journals ANALYSIS OF SUPERIOR CROPS LOCATION IN EAST JAVA, INDONESIA

2021 ◽  
Vol 21 (1) ◽  
pp. 51-58
Author(s):  
Hanifatus Sahro ◽  
S Chen ◽  
S Sujarwo
Keyword(s):  
Economic Growth ◽  
National Economy ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Growth Patterns ◽  
Regional Economic Growth ◽  
Series Data ◽  
Green Beans ◽  
Location Quotient ◽  
Regional Economic

Regional development is an important aspect in improving the regional economy, and its relationship with the national economy. East Java Province is one of the regions with the most potential agricultural sector and is the highest national granary area in Indonesia. Maximizing the potential of the resources owned by East Java will accelerate the development process and increase the regional and national economy. For the economic growth,this study aims to examine the crops performance to estimate the pattern of regional economic growth in East Java. The time series data of East Java Central Bureau of Statistics from2008 to 2017 are adopted. The location quotient analysis and shift-share analysis with three indicators, namely regional economic growth, proportional shift growth, and differential shift, are used.The results showed that crops such as corn, green beans, peanuts, soybeans, rice, sweet potatoes, and cassava in 29 districts and 9 cities of East Java have crucial performance and economic growth patterns. As the results, to consider and identify priority policy plans to accelerate regional economic development and growth are suggested.

scholarly journals The relationship between regional economy and financial intermediation agglomeration from the perspective of Granger causality Empirical analysis from the Guangdong-Hong Kong-Macao Greater Bay Area (GBA)

2021 ◽  
Vol 235 ◽  
pp. 01033
Author(s):  
Dezhi Guo ◽  
Kexin Zhou
Keyword(s):  
Economic Growth ◽  
Hong Kong ◽  
Granger Causality ◽  
Financial Intermediation ◽  
Time Series Data ◽  
Regional Economic Growth ◽  
Series Data ◽  
Regional Economic ◽  
Bay Area ◽  
The Relationship

This paper uses the time series data from 2007 to 2017 to analyze the financial intermediation agglomeration of Guangdong-Hong Kong-Marco Greater Bay Area through the empirical method of Granger causality test to find the relationship between regional economic growth. The empirical results show that the financial intermediation in the GBA has a prominent clustering effect, which has a strong pulling effect on the regional economic growth of the GBA. However, the development of the real economy in the GBA has not played a substantial role in supporting the development of the financial intermediation.

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

2021 ◽  
Vol 5 (2) ◽  
pp. 93-110
Author(s):  
Dwi Desnasari
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Income Inequality ◽  
Labor Productivity ◽  
Cross Section ◽  
Time Series Data ◽  
Fixed Effect Model ◽  
Series Data ◽  
Analysis Tool ◽  
Effect Model

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.

scholarly journals TINJAUAN DEFISIT FISKAL, EKSPOR, IMPOR DAN JUMLAH UMKM TERHADAP PERTUMBUHAN EKONOMI INDONESIA

2020 ◽  
Vol 5 (2) ◽  
pp. 151
Author(s):  
Erni Febrina Harahap ◽  
Luviana Luviana ◽  
Nurul Huda
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Estimation Method ◽  
Secondary Data ◽  
Fixed Effect ◽  
Series Data ◽  
Important Indicator ◽  
Panel Data Regression ◽  
Data Regression

<div class="WordSection1"><p><em>Economic growth is one of most important indicator in analyze the economic development in a state. This research purpose to analyze how much the influence of fiscal deficits, export, import, and total UMKM to Indonesian economic growth. The type of data used in this research is secondary data in the form of time series data and was obtained from some government institutions. The estimation method used is panel data regression with the fixed effect approach period 2010 - 2017. From the results of this research refer that fiscal deficit, import and total UMKM have a significant to Indonesian economic growth, while export not significant to Indonesian economic growth.</em></p></div><p>Pertumbuhan ekonomi merupakan salah satu indikator yang sangat penting dalam melakukan analisis pembanguan ekonomi di suatu negara. Penelitian ini bertujuan untuk menganalisis seberapa besar pengaruh defisit fiskal, ekspor, impor, jumlah UMKM terhadap Pertumbuhan Ekonomi Indonesia. Jenis data yang digunakan dalam penelitian ini adalah data sekunder yang berupa data <em>time series</em> dan diperoleh dari beberapa lembaga pemerintah. Metode estimasi yang digunakan adalah regresi data panel dengan pendekatan <em>fixed effect </em>periode 2010 – 2017. Dari hasil penelitian menunjukkan bahwa defisit fiskal, impor dan jumlah UMKM berpengaruh signifikan terhadap Pertumbuhan Ekonomi Indonesia, sedangkan ekspor tidak berpengaruh signifikan terhadap pertumbuhan ekonomi Indonesia.</p><p><strong> </strong></p>

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

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

<p class="MsoNormal" style="margin-bottom: .0001pt; text-indent: 0cm;"><em><span style="font-family: 'Times New Roman','serif'; letter-spacing: 0pt;" 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.</span></em></p><p class="MsoNormal" style="margin-bottom: .0001pt; text-indent: 0cm;"><em><span style="font-family: 'Times New Roman','serif'; letter-spacing: 0pt;" lang="EN-US"><br /></span></em></p><p class="MsoNormal" style="margin-bottom: .0001pt; text-indent: 0cm;"><span style="font-family: 'Times New Roman','serif'; letter-spacing: 0pt;" lang="EN-US">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.</span></p><p class="MsoNormal" style="margin-bottom: .0001pt; text-align: center; text-indent: 0cm;" align="center"><strong><em><span style="font-family: 'Times New Roman','serif'; letter-spacing: 0pt; mso-ansi-language: IN;" lang="IN">ABSTR</span></em></strong><strong><em><span style="font-family: 'Times New Roman','serif'; letter-spacing: 0pt;" lang="EN-US">ACT</span></em></strong><strong></strong></p><em><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.</span></em>

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

2017 ◽  
Vol 6 (2) ◽  
pp. 97 ◽  
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

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

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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