ANALISIS:PENGARUH;DEMOKRASI TERHADAP;PERTUMBUHAN;EKONOMI INDONESIA;BAGIAN TIMUR

2019 ◽  
Vol 1 (3) ◽  
pp. 877
Author(s):  
Vina Indriani ◽  
Melti Roza Adry
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Fixed Effect Model ◽  
Free Variable ◽  
Fixed Effect ◽  
Analysis Tool ◽  
Control Variables ◽  
Eastern Indonesia ◽  
Effect Model ◽  
Educational Variables

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.

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 .
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Government Spending ◽  
Fixed Effect Model ◽  
Road Infrastructure ◽  
Health Infrastructure ◽  
Effect Model ◽  
Independent Variable ◽  
Infrastructure Health ◽  
North Sumatra

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.

scholarly journals Inequality and Economic Growth: An Analysis of 8-Panels

2017 ◽  
Vol 3 (2) ◽  
pp. 173
Author(s):  
Khadijah A. Idowu ◽  
Yusuf Bababtunde Adeneye
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Specific Effect ◽  
Developed Countries ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The World

<p><em>Purpose: This paper investigates the effects of inequality on economic growth in the world using continental approach.</em><em></em></p><p><em>Design/methodology:<strong> </strong>Gini Coefficient and Gross Domestic Products (GDP) per capita were used to measure inequality and economic growth respectively. The study conducted a panel data analysis of the relationship between inequality and economic growth. The data span from 1991-2015. Five countries were selected each from seven continents and were also pooled together to constitute a single panel for 35 countries, thus establishing 8 panels. The Hausman test was conducted to determine whether a random or fixed effect model best fit pooled countries analysis or not.</em><em></em></p><p><em>Findings: Findings revealed that for the developing countries, high income inequality retards economic growth while for the developed countries such as Europe countries; the situation seems to be different. European countries as revealed in the findings showed that developed countries have benefited from inequality which has significantly and positively affected their economic growth. The results for Panel II (Asia countries) and Panel III (Europe countries) are in line with the study of Forbes (2000) and Li and Zou (1998) that documented that inequality boosts economic growth. Importantly, we found that inequality positively affects economic growth for Panels/Continents with fixed effect model while inequality negatively affects economic growth for Panels/Continents with random effect model.</em></p><p><em>Research Limitation: The study did not control for each continent differences. For African countries, weak institutional settings and environment is a key factor contributing to high inequality.</em><em></em></p><p><em>Originality: The paper was able to know the specific effect of inequality on economic growth in each continent in the World. This documents continents that have benefited from inequality and those that inequality has greatly affected their economies negatively.</em><em></em></p>

scholarly journals An Assessment on the Influence of Capital Structure on Performance of the Listed Firms in Tanzania

2021 ◽  
Vol 4 (1) ◽  
pp. 1-13
Author(s):  
Martin Ayo ◽  
Seif Muba
Keyword(s):  
Capital Structure ◽  
Significant Influence ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Control Effect ◽  
Listed Firms ◽  
Total Debt ◽  
Effect Model ◽  
Equity Ratio ◽  
The Relationship

The research mostly assessed and established the influence of capital structure on the performance of firms listed under the Dar Es Salaam stock exchange (DSE). Specifically, the study aimed to assess the influence of total debt to equity ratio (TDE), total debt to assets ratio (TDA), total equity ratio (TEQ) on the performance of listed firms in Tanzania. Also, the study aimed to determine the control effect of firm size (FS) on the relationship between firm performance and capital structure. The quantitative panel data approach was used. The fixed-effect model for ROA was done to see the influence of TDE on ROA. Results indicated that only TEQ has a significant positive influence on the ROA while TDE and TDA have no significant influence on the ROA. Also, the fixed-effect model for ROCE was carried out to see the relationship between TDE and ROCE. Results showed that TDA and TEQ are insignificant to the ROCE, while TDE is significant to the ROCE. Findings also showed that the presence of the FS on the model of capital structure and ROA, results in TDA, and TEQ having a significant influence on ROA, while TDE becomes insignificant to ROA. Moreover, results indicated that the presence of the FS on the model of capital structure and ROCE results in the only TDE to have a significant influence on ROCE, while TDA and TEQ became insignificant to ROA. The study concluded that TDE has no significant influence on the ROA but TDE has a significant influence on ROCE. Also, the study concluded that TDA has no significant influence on both the ROA and ROCE while TEQ influences ROA positively, and has no significant influence on ROCE. Moreover, the study concluded that the presence of the FS on the model of capital structure and ROA, results in TDA, and TEQ having a significant influence on ROA, while TDE becomes insignificant to ROA. Furthermore, FS resulted in TDE having a significant influence on ROCE, while TDA and TEQ become insignificant to ROCE. The study recommends that companies very carefully must decide on a reasonable capital structure to maintain the performance of the company.

scholarly journals Pengaruh Pertumbuhan Ekonomi dan Investasi Terhadap Ketimpangan Pendapatan di Kabupeten/Kota Provinsi Nusa Tenggara Barat

2019 ◽  
Vol 3 (3) ◽  
pp. 365-375
Author(s):  
Mohammad Royan ◽  
Wahyu Hidayat Riyanto ◽  
Ida Nuraini
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Income Inequality ◽  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Regional Income Inequality ◽  
Independent Variable ◽  
Method Analysis

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.

scholarly journals PENERAPAN REGRESI DATA PANEL PADA ANALISIS PENGARUH INFRASTRUKTUR TERHADAP PRODUKTIFITAS EKONOMI PROVINSI-PROVINSI DI LUAR PULAU JAWA TAHUN 2010-2014

2018 ◽  
Vol 11 (1) ◽  
pp. 1-15
Author(s):  
Yosephine Magdalena Sitorus ◽  
Lia Yuliana
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Seemingly Unrelated Regression ◽  
Total Output ◽  
Economic Productivity ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

There is inequality between the economic growth of provinces in Java and outside of Java. The total area of Java  is only 6,77% from total area of Indonesia but the Growth Domestic Product (GDP) based on constant price in 2014, Java contributed 57,8% of the GDP total Indonesia. One cause that made this disparity is the development of infrastructure in outside Java is still weak. The development of infrastructure is a basic element for increasing total output production that later will increase the economic growth. However, there are so many problems that occur in developing the infrastructure in outside of Java. This study aimed to analyze the condition of infrastructure provinces outside Java in 2010-2014. The data used is the secondary data for 27 provinces outside of Java 2010-2014 from BPS. The analytical method used is panel data regression with fixed effect model and Seemingly Unrelated Regression (SUR) Model. Based on the results, the infrastructure that affects economic productivity significantly and positively is road infrastructure, health, and budget. Infrastructure that affects economic productivity significantly and negatively is the educational infrastructure. Water and electricity infrastructure did not significantly affect economic productivity.Keywords: Infrastructure, Economic productivity, Panel Data Regression, Fixed Effect Model

Impact of Military Expenditures on the Globalization Process: A Spatial Econometric Analysis for African Region

2021 ◽  
pp. 002190962110103
Author(s):  
Saima Sarwar ◽  
Alvina Sabah Idrees
Keyword(s):  
Economic Growth ◽  
Negative Relationship ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Spatial Econometric ◽  
Effect Model ◽  
The World ◽  
Spatial Autoregressive ◽  
Military Expenditures ◽  
The Impact

With modernization, ideological shifts and economic interdependency, the concept of globalization has expanded vastly. Though the world is unipolar, still the international competition remains prevalent that poses serious threats to regional conflicts. The great powers of the world are still competing with each other for influence over other countries. Thus, the role of militarization cannot be ignored in this context. Thus, it would be interesting to examine the impact of military expenditures on the globalization process through the spill-over effects, along with their relationship with economic growth. The study employed panel data consisting of African countries, covering the time period from 2001 to 2014. The econometric estimation is done through the application of spatial econometric techniques, that is, the spatial autoregressive fixed effect model and spatial Durbin fixed effect model. The study has found a positive relationship between economic growth and globalization but a negative relationship was found between military expenditures and economic growth.

scholarly journals Determinan Kemiskinan di Provinsi Jawa Tengah Tahun 2011-2014

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.

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

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.

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

MODUS ◽  
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.

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

2018 ◽  
Vol 1 (3) ◽  
pp. 230-241
Author(s):  
Maya Aprilia Sari
Keyword(s):  
Economic Growth ◽  
Local Governments ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Clean Water ◽  
Domestic Investment ◽  
Central Java ◽  
Effect Model

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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