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>

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

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.

Pengaruh pertumbuhan ekonomi, inflasi dan pengangguran terhadap tingkat kemiskinan di Sumatera Selatan

2019 ◽  
Vol 16 (1) ◽  
pp. 1-10
Author(s):  
Novegya Ratih Primandari
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Linear Regression ◽  
Linear Regression Model ◽  
Time Series Data ◽  
Secondary Data ◽  
Poverty Rate ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square

This research aims to analyze effect of economic growth, inflation and Unemployment on the Rate of Poverty in the Province of South Sumatera. This research used secondary data in the form of time series data from 2001-2017. The method used quantitative approach by applying a linear regression model with OLS estimation Ordinary Least Square (OLS) method. The results of this study indicate that partially and simultaneously Economic Growth, Inflation and Unemployment have a significant effect on the Poverty Rate in the Province of South Sumatera.

scholarly journals PENGARUH KUNJUNGAN WISATAWAN DAN RATA-RATA PENGELUARAN WISATAWAN TERHADAP PAD DAN PERTUMBUHAN EKONOMI PROVINSI BALI

2021 ◽  
pp. 511
Author(s):  
I Gede Dea Joendra Septyana Putra ◽  
Ni Luh Karmini ◽  
I Wayan Wenagama
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Secondary Data ◽  
Data Sources ◽  
Series Data ◽  
Local Revenue ◽  
Analysis Technique ◽  
Secondary Data Sources

This study aims to analyze the effect of the number of tourist visits and the average tourist expenditure on the local income of Bali Province, to analyze the effect of the number of tourist visits, average tourist expenditure, and local income on the economic growth of Bali Province, and to analyze the role of income. native areas in mediating the effect of the number of tourist visits and the average tourist expenditure on the economic growth of Bali Province. The data used in this research is secondary data, with the method of observation by observing documents or secondary data sources that are related. This study uses time series data with a total of 30 years of observations from 1990-2019, with the analysis technique used is Path Analysis. This study shows the results that the number of tourist visits and the average tourist expenditure have a positive and significant effect on local income in Bali Province. The number of tourist visits, the average tourist expenditure and local revenue have a positive and significant effect on economic growth in Bali Province. Own-source revenue mediates the effect of the number of tourist visits and the average tourist expenditure on economic growth in Bali Province.

scholarly journals Analisis Pengaruh Pertumbuhan Ekonomi, Jumlah Angkatan Kerja dan Upah Minimum Regional Terhadap Pengangguran Terdidik di Jawa Timur

2017 ◽  
Vol 4 (2) ◽  
pp. 187
Author(s):  
R. Achmad Ryan Z ◽  
Nanik Istiyani ◽  
Anifatul Hanim
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Panel Data ◽  
Labor Force ◽  
Cross Section ◽  
Secondary Data ◽  
Minimum Wages ◽  
Panel Data Regression ◽  
Data Regression

This research aimed to determine how much the influence of economic growth, the number of labor force and regional minumum wages on educated unemployment in East Java. The data used in this research is secondary data such as time series and cross section. The analytical method used in this research is panel data regression analysis. The results showed that variable of the economic growth was positifly and not significantly affect to the educated unemployment in East Java, whereas the number of labor force and regional minimum wages was positivly and significantly affect to the educated unemployment in East Java. Keywords: The Economic Growth, the Number of Labor Force and Regional Minimum Wages.

scholarly journals Pengaruh Pendapatan Asli Daerah dan belanja modal terhadap pertumbuhan ekonomi Provinsi Kepulauan Bangka Belitung tahun 2009-2018

SOROT ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 105
Author(s):  
Muhammad Dedy Palguno ◽  
Devi Valeriani ◽  
Suhartono Suhartono
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Positive Impact ◽  
Capital Expenditure ◽  
Series Data ◽  
Test Results ◽  
Important Indicator ◽  
Goods And Services ◽  
Local Revenue

Pertumbuhan Ekonomi adalah salah satu indikator penting untuk melihat keberhasilan pembangunan ekonomi pada suatu negara atau daerah. Suatu perekonomian dikatakan mengalami pertumbuhan ekonomi jika jumlah produksi barang dan jasanya meningkat dan produk domestik regional bruto merupakan salah satu indikator penting untuk mengetahui kondisi ekonomi di suatu daerah dalam suatu periode tertentu baik atas dasar harga berlaku maupun atas dasar harga konstan. Tujuan Penelitian adalah untuk melihat pengaruh pendapatan asli daerah (PAD) dan belanja modal terhadap pertumbuhan ekonomi. Data yang digunakan dalam penelitian ini merupakan data time series periode tahun 2009-2018. Analisis data yang digunakan adalah analisis regresi berganda untuk melihat seberapa besar pengaruh pendapatan asli daerah dan belanja modal terhadap pertumbuhan ekonomi di Provinsi Kepulauan Bangka Belitung. Hasil Penelitian menunjukkan bahwa secara simultan variabel PAD dan belanja modal berpengaruh positif signifikan terhadap pertumbuhan ekonomi. Hasil pengujian secara parsial variabel pendapatan asli daerah berpengaruh positif signifikan terhadap pertumbuhan ekonomi dan pada variabel belanja modal hasil uji secara parsial tidak berpengaruh signifikan terhadap pertumbuhan ekonomi.Economic growth is one important indicator to see the success of economic development in a country or region. An economy is said to experience economic growth if the amount of production of goods and services increases and the gross regional domestic product is one of the essential indicators to determine the economic conditions in a region in a given period both based on current prices and constantly. The purpose of this study is to look at the effect of regional own-source revenue (PAD) and capital expenditure on economic growth. The data used in this study is Time Series data (time series) for the years 2009-2018. Analysis of the data used is multiple regression analysis to see how much influence the region's original income and capital expenditure on economic growth in the Bangka Belitung Islands Province. The results showed that simultaneous variables of PAD and capital expenditure had a significant positive effect on economic growth. The test results partially local revenue variables have a significant positive impact on economic growth. On the capital expenditure variable, the test results partly have no significant effect on economic growth.

scholarly journals Analisis faktor-faktor yang mempengaruhi pertumbuhan ekonomi di Kabupaten Sarolangun

2019 ◽  
Vol 7 (2) ◽  
pp. 83-100
Author(s):  
Rosminah Rosminah ◽  
Rahma Nurjanah ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Linear Regression ◽  
Government Spending ◽  
Time Series Data ◽  
Secondary Data ◽  
Least Square ◽  
Series Data ◽  
Domestic Investment ◽  
Ordinary Least Square

Investment (PMDN) and government expenditures have on economic growth in Sarolangun Regency. The type of data used is secondary data in the form of time series data for 2000-2017, in the form of data on economic growth, the number of workers, PMDN, and government spending. The analytical method used in this study is multiple linear regression or Ordinary Least Square (OLS). Based on the analysis results indicate that the workforce has a positive and significant effect on economic growth. PMDN has a positive and significant effect on economic growth. Likewise, government spending has a positive and significant effect on economic growth. Keywords: Economic growth, Labor, Domestic investment (PMDN), Goverment expenditure.

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

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.

scholarly journals Pengaruh Pendidikan Dan Kesehatan Terhadap Pertumbuhan Ekonomi Di Kabupaten Teluk Bintuni Periode 2010-2018

2021 ◽  
Vol 4 (1) ◽  
pp. 8-14
Author(s):  
Dody Akbar ◽  
Sarce B. Awom ◽  
Siti Aisah Bauw
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Data Collection ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
T Test ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Education And Health

This study aims to determine the effect of education and health on economic growth in Teluk Bintuni Regency for the 2010-2018 period. This type of research is quantitative research. This research uses time series data and secondary data collection techniques. Analysis of the data using the Coefficient of Determination Test Heteroscedasticity Test f Test t test. The results of this study show (X1) Education and (X2) Health have a positive and significant effect on (Y) Economic Growth.

scholarly journals ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

2019 ◽  
Author(s):  
Basri Bado
Keyword(s):  
Natural Resources ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Income Per Capita ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita

<p>The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017).<br>The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.</p>

scholarly journals Determinan Pertumbuhan Ekonomi Dalam Model Perekonomian Tiga Sektor

2020 ◽  
Vol 10 (1) ◽  
pp. 31-40
Author(s):  
Ranti Darwin
Keyword(s):  
Economic Growth ◽  
Research Method ◽  
Quantitative Method ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Determinants Of Economic Growth ◽  
Secondary Time

This study aims to analyze the determinants of economic growth on the three sector economic model. The research method used is a quantitative method with panel data regression analysis using STATA 15.0 software. This study uses secondary time series data for the period 2006-2018. The results of this study explain that consumption has an influence on economic growth between regions in Riau Province. In addition, investment and government expenditure variables do not have an influence on economic growth between regions in Riau Province.

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