scholarly journals Analysis of the Influence of Infrastructure on Economic Growth in North Sumatra Province

2021 ◽  
Vol 8 (4) ◽  
pp. 196-210
Author(s):  
Syamsidar Sinaga ◽  
Irsad . ◽  
Rahmanta .

The objective of the research was to analyze the influence of road infrastructure, health infrastructure, and government spending in infrastructure on economic growth in North Sumatra Province. In the model equation, economic growth is dependent variable while road infrastructure, health infrastructure and government spending in infrastructure are independent variable. The scope of this research is the district and city in North Sumatra Province, exactly 32 districts/cities from 2015-2019. The analyzing model is the Fixed Effect Model, by using E-views 10 software. The result of the research showed that road infrastructure, health infrastructure, and government spending in infrastructure simultaneously had significant influence on economic growth. Partially road infrastructure had negative and not significant influence on economic growth, health infrastructure had positive and significant influence on economic growth and government spending in infrastructure had positive and not significant influence on economic growth in North Sumatra Province. Keywords: Road Infrastructure, Health Infrastructure, Government Spending in Infrastructure, Economic Growth.

2019 ◽  
Vol 3 (3) ◽  
pp. 365-375
Author(s):  
Mohammad Royan ◽  
Wahyu Hidayat Riyanto ◽  
Ida Nuraini

The distinction of interzonal potential will cause several problems such as uneven economic growth, the area-centered spreading investment, and income inequality. This research aims to analyze the effect of economic growth and investment on the inter-regional income inequality in West Nusa Tenggara from 2012 to 2017. This research uses secondary data obtained from BPS-Statistics Indonesia (Badan Pusat Statistik), and the Indonesian Investment Coordinating Board (Badan Koordinasi Penanaman Modal – BPKM). Williamson Index is used to representing income inequality, and the method analysis is the panel data analyzing with a Fixed Effect Model (FEM). The effect between a dependent variable and independent variable will be shown that economic growth has a positive and significant influence towards the income inequality, and investment has a positive and not significant influence towards the income inequality.


2019 ◽  
Vol 5 (2) ◽  
pp. 237-251
Author(s):  
Husriatun Putri

This study aims to determine the effect of local government expenditure on agriculture, tourism, road infrastructure and local own revenues (LOR) on economic growth in province of Nusa Tenggara Barat by district/city period 2011-2015. The method is used to analyze the research data is panel data, fixed effect model by using an application help Eviews 8.The result of this research is government expenditure variable for agriculture sector has a positive and significant influence on economic growth, government expenditure for tourism sector has a negative and insignificant effect on economic growth, government expenditure for road infrastructure has a negative and insignificant effect on economic growth and local own revenues (LOR) has a positive and significant influence on economic growth


2019 ◽  
Vol 1 (3) ◽  
pp. 877
Author(s):  
Vina Indriani ◽  
Melti Roza Adry

The;purpose of;this research is;to;know:and;analyze:>(1);The;influence of;democracy;on;the economic;growth;of;eastern;Indonesia. (2) Investment influence on the economic growth of eastern Indonesia. (3) The influence of education on economic growth in eastern Indonesia. (4) The influence of democracy, investment, and education jointly towards the;economic;growth;of;eastern;Indonesia.The variables used;in;this study were economic growth as a bound variable and democracy as a free variable, as well as investment and educational variables as control variables. The research used the 17 provincial data panel in eastern Indonesia in 2009-2017. Data is obtained from the Central Statistics agency.The analysis tool used in this study is a regression panel with the model chosen is the Fixed Effect Model. The results showed that: (1) democracy is positive and significant to the economic growth of Eastern Indonesia, (2) investments have positive and significant impact on the economic growth of Eastern Indonesia, (3) education Positive and significant influence on the economic growth of Eastern Indonesia, (4) Democracy, investment, and education jointly significantly]influence{the}economic?growth/of/eastern Indonesia.


2018 ◽  
Vol 7 (3) ◽  
pp. 235-242
Author(s):  
Emi Megawati ◽  
Lesta Karolina Br Sebayang

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.


2020 ◽  
Author(s):  
Andi Kustanto

This study discusses the analysis of the impact of infrastructure development, human capital and trade openness on regional economic growth in Indonesia using the panel data method. The model was built based on the Solow growth model using road infrastructure, electricity infrastructure, health infrastructure, life expectancy, mean years of schooling and trade openness in 34 provinces in Indonesia. Estimation results obtained from this study using the fixed effects model indicate that regional economic growth in Indonesia is influenced by electricity infrastructure, health infrastructure, mean years of schooling, life expectancy, and trade openness. Whereas road infrastructure has a negative and not significant effect on regional economic growth in Indonesia. Life expectancy has the biggest impact on regional economic growth followed by mean years of schooling, health infrastructure, electricity infrastructure, and trade openness.


2019 ◽  
Vol 8 (1) ◽  
pp. 108-119
Author(s):  
Hadi Sasana

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


2021 ◽  
Vol 8 (4) ◽  
pp. 211-219
Author(s):  
Janita Sari ◽  
Irsad . ◽  
Rahmanta .

This study was to analyze the effect of labor, levels of education and government spending on the education sector on economic growth in North Sumatra. The data used is secondary data obtained from the Regional Financial and Asset Management Agency of North Sumatra and the Central Statistics Agency of North Sumatra Province, which consists of 33 districts / cities in several publications from 2015–2019. The research method used is panel data with a Fixed Effect Model approach. The results of this study indicate that labor has a negative and insignificant effect on economic growth, the level of education has a significant positive effect on economic growth and government spending in the education sector has a significant positive effect on economic growth in North Sumatra in 2015-2019. Keywords: Economic Growth, Labor, Education Level and Government Expenditure.


Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 15-27
Author(s):  
Suripto Suripto ◽  
Eva Dwi Lestari

Economic growth is one indicator to measure  the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data


Author(s):  
Tania Megasari ◽  
Samsubar Saleh

This study aims to analyze the determinants of foreign direct investment (FDI) in the Organization of Islamic Cooperation (OIC) country members for the period 2005 to 2018 The determinant variables of FDI are corruption, political stability and macroeconomic variables such as inflation, exchange rates, economic growth, and trade openness. Analysis used in the study  is the fixed effect model (FEM) of the OIC data panel.The results showed that economic growth and trade openness had a significant influence on foreign direct investment (FDI), while the effects of corruption, political stability, inflation and the exchange rate have no significant effect on foreign direct investment (FDI).


2018 ◽  
Vol 19 (2) ◽  
pp. 171-191
Author(s):  
Kashif Munir ◽  
Nisma Riffat Mehmood

The objective of this study is to analyse the effect of debt on economic growth as well as the channels, that is, investment, total factor productivity (TFP), interest rate and saving channel through which debt affects economic growth in South Asian countries. The study uses growth model based on conditional convergence and augments to include debt. Panel data of four South Asian countries from 1990 to 2013 at annual frequency are utilized and fixed effect model is used for estimation. The results of the study showed that inverted U-shaped relationship exists between debt and economic growth in South Asian countries. However, the most important and significant channel through which debt affects economic growth is private and public investment as well as TFP. Reducing debt accumulation alone will not rectify the problem unless the supplementary macroeconomic policies are made sound; therefore, there is a dire need to improve macroeconomic policies, good governance and elimination of structural distortions. JEL: C23, H6, O47


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