scholarly journals THE EFFECT OF POPULATION GROWTH AND TRADE OPENNESS ON ECONOMIC GROWTH OF THE OIC COUNTRIES

2021 ◽  
Vol 8 (5) ◽  
pp. 537
Author(s):  
Noor Syahro El Muharromy ◽  
Ilmiawan Auwalin
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Exchange Rates ◽  
Trade Openness ◽  
Negative Relationship ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
Analysis Technique ◽  
The Government

ABSTRAKPertumbuhan ekonomi memegang peranan penting dalam menentukan keberhasilan pembangunan sebuah negara, oleh karena itu setiap negara selalu menetapkan target pertumbuhan ekonomi yang stabil dalam tujuan pembangunan. Dalam prosesnya pertumbuhan ekonomi dipengaruhi oleh berbagai factor yang dapat mendorong atau bahkan menghambat laju pertumbuhan. Penelitian ini bertujuan untuk menganalisis pertumbuhan penduduk, keterbukaan perdagangan, inflasi, nilai tukar dan investasi terhadap pertumbuhan ekonomi 40 negara anggota Organisasi Kerjasama Islam (OKI) pada tahun 2005-2019 menggunakan pendekatan kuantitatif dengan teknik analisis regresi data panel fixed effect model dan menggunakan aplikasi Eviews 11dalam mengelola data penelitian. Hasil penelitian ini menunjukkan bahwa variabel pertumbuhan penduduk dan nilai tukar memiliki hubungan signifikan dan negatif terhadap pertumbuhan ekonomi, sedangkan keterbukaan perdagangan dan investasi berpengaruh signifikan dan positif. Sedangkan investasi tidak berpengaruh signifikan pada pertumbuhan ekonomi di Negara OKI. Berdasarkan hasil penelitian ini pemerintah dan pihak terkait diharapkan dapat mengendalikan tingkat pertumbuhan penduduknya serta mendorong sektor perdagangan internasional untuk meningkatkan pertumbuhan ekonomi mengingat tingkat keterbukaan perdagangan di Negara OKI masih dibawah potensinya.Kata Kunci: Pertumbuhan Ekonomi, Pertumbuhan Penduduk, Keterbukaan Perdagangan, Organisasi Kerjasama Islam. ABSTRACTEconomic growth plays an important role in determining the success of a country's development; therefore, each country always sets a target for stable economic growth in its development goals. In the process, economic growth is influenced by various factors that can encourage or even hinder the growth rate. The purpose of this study is to analyze the effect of population growth, trade openness, inflation, exchange rates and investment on the economic growth of 40 member countries of the Organization of Islamic Cooperation (OIC) in 2005-2019 using a quantitative approach with a fixed effect model panel data regression analysis technique and using the Eviews application. 11 in managing research data. The results of this study indicate that the variables of population growth and exchange rates have a significant and negative relationship to economic growth, while trade openness and investment have a significant and positive effect. Meanwhile, investment has no significant effect on economic growth in the OIC Country. Based on the results of this study, the government and related parties are expected to control the rate of population growth and encourage the international trade sector to increase economic growth considering that the level of trade openness in the OIC is still below its potential.Keywords: Economic Growth, Population Growth, Trade Openness, Organization of Islamic Cooperation

scholarly journals Determinant of FDI Inflows in OIC Countries

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Tania Megasari ◽  
Samsubar Saleh
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Exchange Rates ◽  
Direct Investment ◽  
Trade Openness ◽  
Political Stability ◽  
Fixed Effect Model ◽  
Fdi Inflows ◽  
Macroeconomic Variables ◽  
Effect Model

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).

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 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 DAYA SAING EKSPOR TEKSTIL DAN PRODUK TEKSTIL INDONESIA DAN VIETNAM KE AMERIKA SERIKAT DAN REPUBLIK RAKYAT TIONGKOK

2018 ◽  
Vol 12 (2) ◽  
pp. 205-234
Author(s):  
. Ragimun
Keyword(s):  
Exchange Rates ◽  
Market Share ◽  
Comparative Advantage ◽  
Real Exchange Rates ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The Us ◽  
Constant Market Share Analysis ◽  
Constant Market Share

AbstrakTekstil dan Produk Tekstil (TPT) adalah produk ekspor utama Indonesia dan Vietnam. Penelitian ini  bertujuan menganalisis daya saing ekspor TPT Indonesia dan Vietnam di pasar AS dan RRT. Metode yang digunakan adalah Constant Market Share Analysis (CMSA), Revealed Comparative Advantage (RCA), dan Model Ekonometrika (Fixed Effect Model). Hasil penelitian menunjukkan bahwa produk TPT Indonesia dan Vietnam tidak mempunyai daya saing kuat di pasar RRT, tetapi keduanya memiliki daya saing kuat di pasar AS. Pengembangan ekspor TPT Vietnam lebih terkonsentrasi di pasar RRT, sedangkan Indonesia lebih terkonsentrasi di pasar AS. TPT Indonesia mampu beradaptasi di pasar RRT dan AS, sedangkan TPT Vietnam hanya mampu beradaptasi di pasar RRT. Daya saing TPT Indonesia dan Vietnam di pasar AS dan RRT sangat dipengaruhi oleh Penanaman Modal Asing (PMA) manufaktur negara asal. Daya saing TPT Indonesia sangat dipengaruhi Produk Domestik Bruto (PDB) negara tujuan, sedangkan Vietnam sangat dipengaruhi oleh faktor nilai tukar riil, tarif, PDB negara tujuan dan PMA manufaktur Vietnam. Untuk meningkatkan daya saing ekspor TPT, Indonesia perlu memperhatikan PMA manufaktur negara asal dan PDB negara tujuan. AbstractTextile and Textile Product (TPT) are the main export products of Indonesia and Vietnam. This study examined the competitiveness of Indonesian and Vietnamese TPT in the US and PRC markets by using the CMSA, RCA methods and the Fixed Effect Model. The result showed TPT products from Indonesia and Vietnam do not have strong competitiveness in the PRC market, but they are highly competitive in the US market. The TPT export from Vietnam is mostly concentrated in the PRC market, while TPT from Indonesia was in the US market. Indonesian TPT is able to adapt in both PRC and US markets, while the Vietnamese TPT is only able to adapt in the PRC market. The competitiveness of Indonesian and Vietnamese TPT in the US and PRC markets is strongly influenced by the home country's FDI manufacturing. Indonesia's TPT competitiveness is strongly influenced by the GDP of the destination country, while Vietnam is strongly influenced by the factors of real exchange rates, tarrif, GDP of destination countries and Vietnam's FDI manufacturing. To improve the competitiveness of TPT export, Indonesia needs to give a great concern toward FDI manufacture and GDP of US and PRC.

scholarly journals Analysis on the influencing factors of industrial structure upgrading in Northeast China

2021 ◽  
Vol 292 ◽  
pp. 03034
Author(s):  
Dapeng Dong ◽  
Yan Xu ◽  
Guiyan Zhao ◽  
Yihui Qi
Keyword(s):  
Quantile Regression ◽  
Influencing Factors ◽  
Northeast China ◽  
Industrial Structure ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The Government ◽  
Quantile Regression Method ◽  
Industrial Structure Upgrading

Based on the panel data of 34 cities in Northeast China, this paper uses fixed-effect model and quantile regression method to empirically test the influencing factors of industrial structure upgrading. The results show that the government has led the upgrading of the industrial structure in Northeast China, economic growth and investment in fixed assets has inhibitory effect on industrial structure upgrade, the level of opening to the outside world, the financial sector development and the increase of human capital in the northeast has obvious role in promoting industrial structure upgrade. The quantile regression results show that the coefficient of each factor are basically consistent with the estimated results of ordinary panel fixed effect model, which further verifies the robustness of the research conclusions in this paper.

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 Impact of Urbanization and Economic Growth on CO2 Emission: A Case of Far East Asian Countries

2020 ◽  
Vol 17 (7) ◽  
pp. 2531 ◽  
Author(s):  
Asim Anwar ◽  
Mustafa Younis ◽  
Inayat Ullah
Keyword(s):  
Economic Growth ◽  
Co2 Emission ◽  
Industrial Structure ◽  
Trade Openness ◽  
Far East ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Total Energy Consumption ◽  
Variable Bias ◽  
Impact Of Urbanization

Rising CO2 emission constitute a great threat to the world environment and public health. This study examines the major determinants of CO2 emissions in Far East countries in the period of 1980 to 2017. We adopt a panel data-fixed effect model that accounts for time-invariant country-specific characteristics that may create omitted-variable bias. We also additionally take care of the time trend by applying an annual fixed effect into our model. The study finds that urbanization, economic growth and trade openness significantly determine CO2 emission in the selected countries. Thus, the main policy suggestions are (a) to encourage green and sustainable urbanization, as it helps in economic progress but not at the expense of environmental deterioration; (b) to strategically regulate and improve industrial structure; and (c) enhance sharing of renewable energy in total energy consumption.

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 FAKTOR-FAKTOR YANG MEMPENGARUHI MIGRASI SEUMUR HIDUP DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 331
Author(s):  
Annisatul Husnah ◽  
Sri Ulfa Sentosa ◽  
Ali Anis
Keyword(s):  
Fixed Effect Model ◽  
Fixed Effect ◽  
Employment Opportunities ◽  
Insignificant Effect ◽  
Effect Model ◽  
Analysis Technique

This study aims to look at: (1) the influence of education on lifelong migration in Indonesia. (2) Effect of wages on lifetime migration in Indonesia. (3) Effect of employment opportunities on lifelong migration in Indonesia. (4) The effect of marriage on lifelong migration in Indonesia, and (5) The effect of education, wages, employment opportunities and wages together on lifelong migration in Indonesia. This study uses Indonesian Susenas Statistics data from 2005-2016. The analysis technique used is OLS by using the fixed effect model. The results of this study indicate that education has a negative and insignificant effect on lifetime migration. Partially the variables of wages, employment opportunities and marriage have a positive and significant effect on lifetime migration in Indonesia. Taken together the variables of education, wages, employment opportunities and marriage have a significant effect on lifetime migration in Indonesia.

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

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