Percepatan Pembangunan Infrastruktur dan Penambahan Utang Luar Negeri Pemerintah: Potensi Manfaat vs Potensi Risiko

2017 ◽  
Vol 2 (4) ◽  
pp. 1-14
Author(s):  
Hangger Prihandoko
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Infrastructure Development ◽  
Significant Negative Effect ◽  
Effect Model ◽  
Negative Effect ◽  
The Government ◽  
Basic Infrastructure

This study analyzes the effect of basic infrastructure development in the form of roads, electricity, education and health by the government on economic growth at the provincial level based on HDI groups namely provincial groups with high HDI and provincial groups with medium HDI. This study uses panel data composed of data across 32 provinces within the period of 2007-2014. Estimation is done by random effect model panel data regression analysis technique. The findings of this study are in high HDI provinces all forms of infrastructure are insignificant except educational infrastructure which has a significant negative effect, whereas in medium HDI provinces only health infrastructure that is not significant and only education infrastructure has a significant negative effect, other types of infrastructure such as roads, electricity and water have a significant positive effect. Based on these findings the prioritization of infrastructure development in relatively lagging regions is not only supporting the equitable distribution of economic growth but also the most efficient form of budget allocation for infrastructure development.   Abstrak Penelitian ini menganalisis pengaruh pembangunan infrastruktur dasar berupa jalan, listrik air, pendidikan dan kesehatan oleh pemerintah terhadap pertumbuhan ekonomi di tingkat propinsi berdasar kelompok IPM Tinggi dan IPM Sedang. Jenis data yang digunakan adalah data panel yang tersusun dari data lintas ruang 32 propinsi dalam periode tahun 2007-2014. Estimasi dilakukan dengan teknik analisis regresi data panel random effect model. Temuan hasil penelitian ini adalah di provinsi IPM tinggi seluruh infrastruktur tidak berpengaruh signifikan kecuali infrastruktur pendidikan yang signifikan dengan arah negatif, sementara di provinsi IPM sedang hanya infrastruktur kesehatan yang tidak signifikan dan hanya infrastruktur pendidikan yang signifikan negatif, jenis infrastruktur lain berupa jalan, listrik dan air memiliki pengaruh signifikan positif. Berdasar temuan tersebut maka pemberian prioritas pembangunan infrastruktur pada daerah yang relatif tertinggal selain mendukung pemerataan pertumbuhan ekonomi juga merupakan bentuk alokasi anggaran pembangunan infrastruktur yang paling efisien.

scholarly journals PENGARUH PERTUMBUHAN EKONOMI DAN RATA-RATA LAMA SEKOLAH TERHADAP KEMISKINAN DI PROVINSI JAWA TENGAH

2020 ◽  
Vol 8 (1) ◽  
pp. 15-21
Author(s):  
Miftaqh Nur Faritz ◽  
Ady Soejoto
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Cross Section ◽  
Average Length ◽  
Random Effect ◽  
Random Effect Model ◽  
Significant Negative Effect ◽  
Central Java ◽  
Negative Effect ◽  
Central Java Province

Latar belakang yang mendasari penelitian ini karena Provinsi Jawa Tengah merupakan provinsi dengan presentase penduduk miskin sebesar 11,19% Tahun 2018 dan menempati posisi dua terbawah dari berberapa provinsi yang ada di Pulau Jawa, Kemiskinan di Jawa Tengah disebabkan oleh rendahnya pertumbuhan ekonomi serta rendahnya pendidikan masyarakat. Tujuan penelitian ini untuk mengetahui pengaruh pertumbuhan ekonomi dan rata-rata lama sekolah terhadap kemiskinan di Provinsi Jawa Tengah. Penelitian ini menggunakan teknik analisis data panel dengan data yang diperoleh dari Badan Pusat Statistik, mengunakan Cross Section 35 kabupaten/kota di Provinsi Jawa Tengah dan Time Series tahun 2009-2018, menggunakan model random effect. Hasil dari penelitian ini menunjukkan bahwa secara parsial pertumbuhan ekonomi berpengaruh signifikan negatif terhadap kemiskinan di provinsi jawa tengah, rata-rata lama sekolah berpengaruh signifikan negatif terhadap kemiskinan di provinsi jawa tengah. Sedangkan secara simultan pertumbuhan ekonomi dan rata-rata lama sekolah berpengaruh signifikan negatif terhadap kemiskinan di provinsi jawa tengah Kata Kunci : Pertumbuhan Ekonomi. Rata-Rata Lama Sekolah dan Kemiskinan AbstractThe background which is the basis of this research is that Central Java Province is a province with a poor population percentage of 11.19% in 2018 and occupies the second lowest position of several provinces in Java Island, Poverty in Central Java is caused by low economic growth and low public education . The purpose of this study was to determine the effect of economic growth and average length of school on poverty in Central Java Province. This research uses panel data analysis techniques with data obtained from the Central Statistics Agency, using Cross Section 35 districts / cities in Central Java Province and Time Series in 2009-2018, using a random effect model. The results of this research show that partially economic growth has a significant negative effect on poverty in Central Java Province, the average length of school has a significant negative effect on poverty in the province of Central Java. While simultaneous economic growth and average length of school have a significant negative effect on poverty in Central Java Province.Keywords: Economic Growth, Mean Years School, Poverty.

scholarly journals THE EFFECT OF SPIN-OFF POLICY AND MACROECONOMIC FUNDAMENTAL FACTORS ON THIRD PARTY FUNDS AT SHARIA GENERAL BANKS

2021 ◽  
Vol 5 (1) ◽  
pp. 08-22
Author(s):  
Fatima Tuzzahara Alkaf ◽  
Nana Nawasiah
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Third Party ◽  
Financial Report ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Report Data ◽  
The Government

In enhancing the development of Islamic banking, the government issued Law No. 21 of 2008 concerning spin-off. With this policy, it is expected that Islamic Commercial Banks will develop. This study aims to implement panel data regression to examine in depth the influence of spin-off policy and macroeconomic fundamental factors on third party funds of Sharia General Banks. Sampling by purposive sampling, six (6) Sharia General Banks that have conducted spin-offs and financial report data from 2014-2018. The Chow Test and the Hausman Test show that the panel data regression model that matches the variable data used in 2014-2018 is the Random Effect Model (REM). Empirical results show that during the 2014-2018 period, the spin-off policy and macroeconomic fundamental factors had a significant effect on the bank's third-party funds simultaneously. Partially, only the spin-off policy has a significant effect on third party funds.

scholarly journals Effect of Trading Volume, Market Capitalization, Firm Size in explaining Return on Vultures

2021 ◽  
Vol 2 (2) ◽  
pp. 50-64
Author(s):  
Dedi Hariyanto
Keyword(s):  
Firm Size ◽  
Trading Volume ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Standard Form ◽  
Market Capitalization ◽  
Significant Negative Effect ◽  
Effect Model ◽  
Negative Effect

Purpose: The study aims to examine the effect of trading volume, market capitalization, and firm size in explaining return on vultures in selected companies in Indonesia. Methodology/Approach/Design: The population is 131 JII forming companies in IDX between December 2009 – May 2010 to December 2019 – May 2020. All data is transformed into standard form because the model used is path analysis. The corresponding regression of equation 1 is the Random Effect model and the corresponding Regression equation 2 is the Fixed Effect model. This study uses panel data analysis; the Chow test and Hausman test are also used. Data is processed using statistics EViews software.  Results: The results of the equalization test 1, trading volume has a significant negative effect on the return of shares. The results also show that the market capitalization has a significant negative effect on the return of shares, and consequently the size of the company has a significant negative effect on the return of shares. Hasil testing for equalization 2, trading volume has a significant effect on vultures, while market capitalization has no significant effect on vultures. The size of the company has a significant effect on vultures, and the return of the company has a significant effect on vultures. Practical Implications: This research is limited to the variety of indices and varieties of securities that become populations and samples. Future research can be developed by focusing on indices and securities as well as the development of other variables in the behavioral finance section in addition to herding. Originality/Value: This study differs greatly from previous studies in emerging markets in contributing to literature from a new direction in exploring investor returns and herding.

scholarly journals PENGARUH INFRASTRUKTUR SOSIAL DAN EKONOMI TERHADAP PERTUMBUHAN EKONOMI INDONESIA TAHUN 2015 - 2019

2021 ◽  
Author(s):  
Kristian Wanandi
Keyword(s):  
Economic Growth ◽  
Average Length ◽  
Random Effect ◽  
Random Effect Model ◽  
Clean Water ◽  
Infrastructure Development ◽  
Social Infrastructure ◽  
Effect Model ◽  
Data Regression ◽  
Long Time

Infrastructure development in Indonesia has been going on for a long time and at a fairly large cost. The contribution of infrastructure development is quite significant in increasing economic growth, but there are still problems faced by our country. This study aims to determine the influence and contribution of economic and social infrastructure to economic growth in Indonesia, which is represented by Gross Regional Domestic Product per capita.Panel data regression analysis is used to see the magnitude of the influence of infrastructure on economic growth in Indonesia. The infrastructure studied includes: length of roads, distributed electricity, clean water that is distributed, health described by Life Expectancy (AHH), and education described by the Average Length of School (RLS). The analysis was carried out using panel data with a random effect model in 34 provinces in Indonesia and over a period of 5 years (2015-2019). The results obtained are that roads and education have a significant effect on economic growth. Electricity, clean water, and health do not have a significant effect.economic infrastructure, social infrastructure, economic growth

scholarly journals Do Government Expenditures Subject to Law of Diminishing Returns? A Panel Data Application

2018 ◽  
Author(s):  
Menşure Kolçak ◽  
Ali Yasin Kalabak
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Empirical Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Government Expenditure ◽  
Fixed Effect Model ◽  
Public Expenditures ◽  
Effect Model ◽  
Diminishing Returns

The effect of government expenditure on economic growth has attracted attention of economist for long time. In this context, this paper aims to understand that government expenditure subjects to whether constant, decreasing or increasing yield. For this reason, countries were classified as with low government expenditure, medium government expenditure and high government expenditure, and were added into empirical analysis in the paper. The number of countries included in the analysis is 138 and the analysis covers the period between years 1980 and 2016. In this context, empirical analysis consists of fixed effect model, random effect model, hausman test and unbalanced panel data technique was applied. According to results of analysis, when government expenditure increases as quantitative, it’s effect on economic growth decreases but it still affects economic growth positively. To make public expenditures lately subject to law of diminishing returns, it may come into question that public expenditures is canalized to technology intensive areas. In order to increase productivity in the public expenditures and to shift out diminishing returns, level of spendings on human capital can be increased.

scholarly journals The Effect of Remittance, Consumption, and FDI on Economic Growth in ASEAN Countries

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Mega Mariska ◽  
Lies Maria Hamzah ◽  
Arivina Ratih
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Migrant Workers ◽  
Random Effect ◽  
Random Effect Model ◽  
Data Set ◽  
Asean Countries ◽  
Migrant Remittances ◽  
The Government ◽  
The Impact

One of the main indicators seen in reviewing the relationship between international workers and economic growth is remittances. Remittances obtained from workers abroad are one of the major sources of finance for developing countries. Remittances are also a source of finance in increasing migrant household incomes which encourage improved consumption which will affect economic growth. This study was conducted to explore the impact of migrant remittances, consumption and FDI on economic growth in 10 ASEAN countries using annual panel data from 2015-2019. This study uses panel data regression analysis with the Random Effect Model (REM) approach. The results showed that remittances, consumption and FDI positively and significantly contributed to economic growth in 10 ASEAN countries. Significant contribution of migrant remittances in economic growth if their use is directed to more productive sectors such as use in the investment sector can help the economies of ASEAN countries to maintain and increase economic growth. The government needs to improve the quality of migrant workers through education because a high level of education will affect the level of wages received by migrants and will have an impact on increasing remittances. The limitation in this study is the use of limited data, for 2020 it is not included in the data set used in the analysis. For this reason, further research should use 2020 data because in 2020 there be a new phenomenon, namely COVID-19 which can be traced to the impact of this phenomenon on remittances. Keywords: Remittances, Migrant, Economic Growth, Panel Data

scholarly journals Pemodelan Pertumbuhan Ekonomi Provinsi Sulawesi Selatan dengan Menggunakan Regresi Data Panel

2020 ◽  
Vol 2 (3) ◽  
pp. 158
Author(s):  
Misriani Suardin ◽  
Muhammad Nadjib Bustan ◽  
Ansari Saleh Ahmar
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Population ◽  
Random Effect ◽  
Random Effect Model ◽  
South Sulawesi ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Human Capital Index

Abstract. Economic growth is a process for change the economic condition a country or regional by continuously for the better condition as long as definite period. Economic growth in South Sulawesi for 2013-2016 have up and down because many factors have influence it. Like jobless, human capital index, regional revenue, expenditure, and total population. This research was conducted to determine the factors that influence economic growth in South Sulawesi by using data panel regression methods. Panel data regression is a regression by using panel data. Panel data is a statistics analysis method that combines between time series data and cross section data. The result indicates that the result if the regression analysis on the =5% show that the best panel data regression model is random effect model and human capital index variable have significant effect on economic growth with probability value about 0,0227. Meanwhile, jobless, regional revenue, expenditure, and total population no significant.Keywords: Panel Data Regression, Economic Growth, Common Effect Model, Fixed Effcet Model, Random Effect Model

scholarly journals Determinants Of International Tourism In Indonesia

JEJAK ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 298-317
Author(s):  
Faiza Husnayeni Nahar ◽  
Mufti Alam Adha ◽  
Muhammad Azizurrohman ◽  
Izzani Ulfi ◽  
Husna Karimah
Keyword(s):  
Exchange Rate ◽  
Random Effect ◽  
Random Effect Model ◽  
Destination Country ◽  
Growing Up ◽  
Effect Model ◽  
International Tourist ◽  
Negative Effect ◽  
Strong Position ◽  
The Government

Tourism is considered as big industry which growing up faster compare to other industry in this recent year. It is reported that Indonesia received approximately 11.5 million of international tourists in 2016. Because the tourism shows significant trend in Indonesia and getting strong position in the third rank as the foreign revenue for this country, the government willing to boost up the factors that might contribute more on attracting international tourist. This study tried to analyse the determinant factors of international tourist in Indonesia by using Random Effect Model. The variables are GDPs origin and destination country, exchange rate of origin country, free visa impact and length of distance in Indonesia during the period of 2006 to 2016. The study found that all variables are statistically significant. GDPs origin and destination country and country with visa-free entry have positive effect to the number of international tourist arrival while the rest which is exchange rate of origin country and length of distance have negative effect to the international tourists. Hence, the government needs to promote aggressively to the international tourist by conducting important events, increasing the number of countries that receive Indonesia free visa and maintain the GDP in both origin and destination country.

scholarly journals PENGARUH TINGKAT PENDIDIKAN, PERTUMBUHAN EKONOMI DAN INVESTASI TERHADAP TINGKAT PENGANGGURAN ANTAR KABUPATEN/KOTA DI PROVINSI SUMATERA BARAT

Jurnal Ecogen ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 351
Author(s):  
Monica Wulandari ◽  
Marwan Marwan
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Unemployment Rate ◽  
Random Effect ◽  
Random Effect Model ◽  
Research Use ◽  
Level Of Education ◽  
Research Results ◽  
Effect Model ◽  
Year 2013

The purpose of this study for know does the level of education , economic growth and investment have a significant effect the unemployment rate between district/city in West Sumaera. This research use the panel data  views of the 12 districts and 7 cities in West Sumatera Province start the year 2013 to 2017 gathered from Statistics Indonesia West Sumatera. This study used a Random-effect Model (REM). The research results obtained are (1) Together the level of education, economic growth and investment significant effect against the unemployment rate between districts/city in West Sumatera. (2) the level of educatio is  positive and has no significant effect against the unemployment rate between districts/city in West Sumatera. (3) economic growth is negative and has a significant effect  the unemployment rate between districts/city in West Sumatera. (4) Investment is negative and has significant effect  the unemployment rate between districts/city in West Sumatera.Keywords : education, economic growth, investment, unemployment

scholarly journals Infrastructure And Development

2020 ◽  
Vol 3 (1) ◽  
pp. 14
Author(s):  
Erwin Sampelalong ◽  
Ni Made Sukartini
Keyword(s):  
Economic Growth ◽  
Regional Development ◽  
Random Effect ◽  
Random Effect Model ◽  
Well Being ◽  
Infrastructure Development ◽  
Public And Private ◽  
Administrative Services ◽  
Effect Model ◽  
Private Financing

The existence of infrastructure disparity between regions is considered as one of the factors that drive economic inequality between regions. This happened in areas that had been divided into several districts. Regional expansion is the formation of new administrative regions at the provincial level as well as cities and regencies from their parents. The most prominent reason in the discourse of regional expansion is that some regions are considered to have too large an area so that efforts are needed to facilitate administrative services and bureaucratic pruning by division /pemekaran (Koswara, 2001). Efforts to accelerate regional development can be implemented by increasing economic growth. One of them is to encourage infrastructure development in areas (districts) that are far from the provincial capital, due to the topography of the region, there are hills, valleys, swamps, and forests, thus encouraging an increase in the potential of an area / region on an ongoing basis. Infrastructure is a driver of economic progress. From the allocation of public and private financing, infrastructure is seen as a locomotive of national and regional development. Infrastructure also has an important influence on improving the quality of life and human well-being. This study aims to see whether the infrastructure of sanitation, water, electricity has a significant influence and contribution to economic growth in the regencies / cities of Papua province. This research method uses panel data regression with Random Effect Model (REM).

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