DETERMINAN PERTUMBUHAN EKONOMI DI PROPINSI ACEH

This research aims to analyze the effect of own-source revenue, general allocation grant, special allocation fund, and special autonomy fund to economic growth in Aceh district/urban district from 2008 to 2011. To estimate economic growth, this research used the rate of RGDP growth for dependent variable. While own-source revenue, general allocation grant, special allocation fund, and special autonomy funds are research’s independent variables. This study took panel data with Fixed Effect Model (FEM) for the method and seven districts and three urban districts in Aceh Province for the sample. The result shows that economic growth explained by own-source revenue, general allocation grant, special allocation fund, and special autonomy fund by 87,30 percent (Adjusted R2). Then, economic growth able to be effected by own- source revenue, general allocation grant, special allocation fund, and special autonomy fund by 21,64 percent (f-statistic).DOI: 10.15408/sjie.v4i2.2303

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

MEDIA STATISTIKA ◽

10.14710/medstat.11.1.1-15 ◽

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

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Analisis Pengaruh Pertumbuhan Ekonomi dan Pendapatan Asli Daerah Terhadap Indeks Pembangunan Manusia : Panel Data 23 Kabupaten/ Kota Provinsi Aceh

Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum ◽

10.30601/humaniora.v3i1.239 ◽

2019 ◽

Vol 3 (1) ◽

pp. 36-47

Author(s):

Isthafan Najmi

Keyword(s):

Economic Growth ◽

Panel Data ◽

Human Development ◽

Human Development Index ◽

Fixed Effect Model ◽

City Government ◽

Development Index ◽

Local Revenue ◽

Effect Model ◽

Aceh Province

This study aims to determine the effect of Economic Growth (PE), Regional Original Revenue (PAD) on the Human Development Index (HDI) in 23 districts/cities in Aceh province for 5 (five) years, namely 2013-2017. The method used is panel data regression analysis. The chow test results show that the best model for this panel data is the fixed effect model. This study concludes that independent variables are simultaneously significant towards the Human Development Index. Partially significant economic growth is positive for the human development index in districts/cities in Aceh province. And local original income is significantly positive towards the Human Development Index, meaning that economic growth and local revenue can increase the Human Development Index in districts/cities in Aceh province. From these findings, it can be interpreted that the ability of the independent variable can account for, 54.51% of the Index Human Development. And the remaining 45.49% is explained by other variables not included in this study. The district/city government is expected to increase economic growth and local revenue so that it will continue to contribute to improving the Human Development Index.

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Environmental regulation, Industrial structure upgrading and Economic growth in Beijing Tianjin Hebei region

E3S Web of Conferences ◽

10.1051/e3sconf/202123502021 ◽

2021 ◽

Vol 235 ◽

pp. 02021

Author(s):

Menglu Li

Keyword(s):

Economic Growth ◽

Economic Development ◽

Panel Data ◽

Environmental Regulation ◽

Industrial Structure ◽

Fixed Effect Model ◽

Fixed Effect ◽

Effect Model ◽

The Relationship ◽

Industrial Structure Upgrading

This paper selects the panel data of 13 cities in Beijing Tianjin Hebei region from 2008 to 2016, and uses the fixed effect model to study the relationship between environmental regulation, industrial structure upgrading and economic growth in Beijing Tianjin Hebei region. The results show that: strengthening environmental regulation can promote the upgrading of industrial structure in Beijing Tianjin Hebei region by reducing the emission of pollutants; the upgrading of industrial structure is conducive to promoting the economic development of Beijing Tianjin Hebei region.

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Daya Saing dan Pertumbuhan Ekonomi Negara Berkembang ASEAN

Jurnal Ekonomi Pembangunan ◽

10.23960/jep.v9i1.85 ◽

2020 ◽

Vol 9 (1) ◽

pp. 37-44

Author(s):

Fadeli Yusuf Afif ◽

Ukhti Ciptawaty

Keyword(s):

Economic Growth ◽

Foreign Direct Investment ◽

Panel Data ◽

Direct Investment ◽

Fixed Effect Model ◽

Fixed Effect ◽

Series Data ◽

Labor Participation ◽

Effect Model ◽

Asean Countries

The purpose of this study is to look at the condition of the country's competitiveness and its influence on ASEAN economic growth. The data used consists of panel data consisting of time series data for 2009 - 2019 and a cross section of five ASEAN countries with the highest level of competitiveness. The variables used are economic growth, competitiveness, labor participation, and foreign direct investment. The analysis tool used is panel data regression, the Fixed Effect Model (FEM). The results show that competitiveness, labor participation, and foreign direct investment have a positive and significant effect on economic growth in the five developing ASEAN countries. Keywords: ASEAN, Competitiveness, Economic Growth, and Fixed Effect Model (FEM).

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The impact of institutions on economic growth in selected developing countries: An analysis based on Bayesian panel estimation

Journal of Applied Economics and Business Studies ◽

10.34260/jaebs.4412 ◽

2020 ◽

Vol 4 (4) ◽

pp. 251-272

Author(s):

Qasim Shah ◽

Seema Zubair ◽

Sundus Hussain

Keyword(s):

Economic Growth ◽

Developing Countries ◽

Panel Data ◽

Fixed Effect Model ◽

Data Models ◽

Fixed Effect ◽

Estimation Methods ◽

Panel Data Models ◽

Effect Model ◽

The Impact

This paper presents an empirical analysis of the impact of institutions on the economic growth of 27 developing countries during the period 1990-2014. Many creative models of panel data allow variations in slope coefficients both across time and cross-sectional units. All models were established in a Bayesian structure and their performance was tested by using an interesting application of the effect of institution on GDP. Technical details of all these models are given and tools are presented to compare their performance in the Bayesian system. Besides, panel data models and posterior model pools are provided for an insight into the institution's relationship with economic development. The derivation of Bayesian panel data models is included. The previous data has been used in this study and normal gamma prior is used for the models of panel data. 2SLS estimation technique has been used to analyze the classical estimation of panel data models. In the paper, developing countries were viewed as a whole. The study's evaluated results have shown that panel data models are valid Bayesian methodology models. In the Bayesian approach, the results of all independent variables affect the dependent variable significantly and positively. Based on all model standard defects, it is necessary to say that the Fixed Effect Model is the best in Bayesian panel data estimation methods. It was also shown that in comparison to other models, the fixed-effect model has the lowest standard error value.

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Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

Journal of Mathematics, Computations, and Statistics ◽

10.35580/jmathcos.v2i2.12574 ◽

2020 ◽

Vol 2 (2) ◽

pp. 115

Author(s):

Syafruddin Side ◽

S. Sukarna ◽

Raihana Nurfitrah

Keyword(s):

Panel Data ◽

Infant Mortality ◽

Regression Model ◽

Fixed Effect Model ◽

Fixed Effect ◽

Least Square ◽

Dummy Variable ◽

Effect Model ◽

Panel Data Regression ◽

Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

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Determinants of Financial Performance of Nepalese Commercial Banks: Evidence from Panel Data Approach

NRB Economic Review ◽

10.3126/nrber.v32i2.35300 ◽

2020 ◽

Vol 32 (2) ◽

pp. 45-59

Author(s):

Purna Man Shrestha

Keyword(s):

Panel Data ◽

Financial Performance ◽

Commercial Banks ◽

Fixed Effect Model ◽

Fixed Effect ◽

Lagrangian Multiplier ◽

Effect Model ◽

Specific Factors ◽

The Impact ◽

Bank Specific Factors

The impact of bank specific factors on the financial performance of Nepalese commercial banks is analyzed in this paper. The financial performance is measured by using return on assets (ROA). Similarly, managerial efficiency (ME), liquidity (LIQ), credit risk (CR), assets quality (AQ) and operational efficiency (OE) is used as proxy of bank specific factors. This study used panel data of 17 commercial banks for the period of 2010/11 to 2017/18. Breusch and Pagan Lagrangian multiplier test showed that Pooled Regression model is not appropriate and Hausman test concluded that Fixed Effect model is appropriate rather than Random Effect model. Using the Fixed Effect model; this study concludes that bank specific factors have significant impact on financial performance of Nepalese commercial banks. Finally, this study reveals that ME, AQ and OE have significant positive impact, and CR has negative impact on the financial performance of Nepalese commercial banks.

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Pengaruh Perkembangan Usaha Mikro, Kecil, dan Menengah Terhadap Pendapatan Nasional Pada Sektor UMKM di Indonesia

Jurnal Ekonomi Pembangunan ◽

10.23960/jep.v8i2.45 ◽

2019 ◽

Vol 8 (2) ◽

pp. 127-135

Author(s):

Lies Maria Hamza ◽

Devi Agustien

Keyword(s):

Panel Data ◽

Small And Medium Enterprises ◽

National Income ◽

Fixed Effect Model ◽

Fixed Effect ◽

Effect Model ◽

Medium Enterprises

This study aims to analyze the influence of the development of Micro, Small, and Medium Enterprises on the national income of the UMKM sector in Indonesia. This research used a panel data method with Fixed Effect Model. The data used are secondary in the value of GDP of UMKM, Labours of UMKM, investment of UMKM, and the number of units of UMKM from the 2000-2013 period. The results showed that labors of UMKM and placement of UMKM have a positive and significant effect on the national income of the UMKM sector in Indonesia. While for the number of units of UMKM not affect the national income of the UMKM sector in Indonesia.

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Inequality and Economic Growth: An Analysis of 8-Panels

Journal of Economics and Public Finance ◽

10.22158/jepf.v3n2p173 ◽

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

Purpose: This paper investigates the effects of inequality on economic growth in the world using continental approach.Design/methodology: 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.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.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.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.

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Sci-tech Innovation, Financial Development and Economy Growth ——Empirical Analysis Based on Static and Dynamic Panel Data

MATEC Web of Conferences ◽

10.1051/matecconf/201822702014 ◽

2018 ◽

Vol 227 ◽

pp. 02014

Author(s):

Rongrong Wei ◽

Zhaopeng Yu

Keyword(s):

Economic Growth ◽

Panel Data ◽

Empirical Analysis ◽

Financial Development ◽

Yangtze River ◽

Fixed Effect Model ◽

Dynamic Panel Data ◽

Effect Model ◽

One Step ◽

Development Structure

The paper makes empirical analysis of the relationship between sci-tech innovation, financial development and economic growth in China’s Yangtze river economic belt by building panel data period fixed effect model of 11 provinces and cities in China’s Yangtze river economic belt from 2005 to 2015. Static panel analysis results show that financial development and sci-tech innovation in the east, middle and west of Yangtze river economic belt have significantly different effects on economic growth, the performance’s ordering of all provinces and cities in Yangtze river economic belt is east>middle>west; In system GMM(one-step),the ranking of financial development’s contribution to economic growth is financial development structure>financial development efficiency>financial development scale, financial development scale has lag effect on economic growth, and there is still much room for sci-tech innovation to drive economic growth.

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