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

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.

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 PERTUMBUHAN EKONOMI, DISPARITAS PENDAPATAN DAN KESEJAHTERAAN KABUPATEN/KOTA DI PROVINSI NUSA TENGGARA BARAT

GANEC SWARA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 59
Author(s):  
BAIQ HIPZIWATY ◽  
PUTU KARISMAWAN ◽  
BAIQ ISMIWATY
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Income Disparity ◽  
The People ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyze economic growth, income disparity and community welfare in the West Nusa Tenggara Province.     This research is a descriptive study using secondary data obtained from relevant agencies in the form of GRDP data, population, economic growth, HDI and per capita income between regencies / cities in NTB Province and data collection using the case method. With analytical procedures using Williamson index and panel data regression analysis.     The results showed that during the period of 2010-2016 the average economic growth of West Nusa Tenggara Province was 6.0%. The income disparity seen from the Williamson index in the 2010-2016 period is classified as a medium inequality criterion. The estimation results of the relationship between the variables of economic growth, income disparity and the welfare of the people of West Nusa Tenggara Province measured using HDI in 2010-2016 using panel data regression analysis with the Fixed Effect model (FEM), found that economic growth variables were positively related, but not significant to welfare society. The variable income disparity is significantly related to the welfare of the people of NTB Province.

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

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

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.

scholarly journals An empirical analysis of the relationship between bank credit and economic growth

2021 ◽  
Vol 24 (1) ◽  
pp. 1-24
Author(s):  
Marcos Roberto Vasconcelos ◽  
Vitor Gomes Reginato ◽  
Marina Silva da Cunha
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Empirical Analysis ◽  
Financial Development ◽  
Bank Credit ◽  
The Relationship

This paper tests the hypothesis that bank credit is necessary for economic growth, depending on the country's level of economic and financial development. It also seeks to verify whether the relationship between financial development and economic growth is monotonic. For this, Granger's causality methodology is used for panel data, with data from 106 countries for the period between 1970 and 2016. It is observed that there was an expansion of world credit above the economic growth observed over the studied period. The main empirical findings indicate that, in general, credit causes economic growth and vice versa, in addition to verifying the non-monotonicity of the relationship between financial development and economic growth, so that, for very low credit / GDP indices, the causality of the credit to GDP is not verified.

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

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.

scholarly journals Daya Saing dan Pertumbuhan Ekonomi Negara Berkembang ASEAN

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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