scholarly journals Analysis of Competitiveness and Factors Affecting Indonesia's Selected Commodity Exports to Developing Eight Countries (D-8)

2019 ◽  
pp. 119-130
Author(s):  
Sridewi Nainggolan ◽  
Tanti Novianti ◽  
Muhammad Findi Alexandi
Keyword(s):  
Panel Data ◽  
Exchange Rates ◽  
Real Exchange Rates ◽  
Commodity Prices ◽  
Factors Affecting ◽  
Trade Relations ◽  
Panel Data Regression ◽  
Potential Market ◽  
Data Regression ◽  
Trading Partners

Indonesia's exports to major trading partners show a declining trend in recent years. So that market diversification is important so that exports do not fully depend on the main trading partners. Looking at the development of Indonesia's exports to the Developing Eight Countries (D-8), this region can become a potential market to increase exports. This study aimed to analyze the competitiveness of commodities, and the factors that affect Indonesia's commodity exports to (D-8). The analysis period from 2009 to 2018 uses Revealed Comparative Advantage (RCA), Intra Industry Trade (IIT), Export Dynamic Product (EPD), and Gravity Model using panel data regression. Based on the results of RCA and EPD analysis, Indonesian commodities are able to compete and occupy a variety of positions, namely the Rising Star, Falling Star, Lost Oportunity, and Retreat positions. The IIT results show that most of Indonesia's trade relations with D-8 member countries are one-way (No Integration). Factors that influence exports are, GDP, real exchange rates, commodity prices, economic distances with different results for each commodity.

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Jumlah Penduduk di Kota Semarang Menggunakan Metode Regresi Data Panel

2019 ◽  
Vol 12 (2) ◽  
pp. 36-41
Author(s):  
Prizka rismawati Arum
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Geographical Area ◽  
Random Effect Model ◽  
Factors Affecting ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship ◽  
Number Of Births

Residents are all people who live in the geographical area of Indonesia for six months or more and or those who have been domiciled for less than six months but aim to settle. Population growth is caused by two components, namely: fertility and mortality. To find out how big the relationship between the  population and the number of births and deaths in each sub-district of Semarang, must observed in several specific time periods and places at once. So in this study, the panel data regression method was used. In panel data regression testing, the results show that the panel data regression model formed to determine the factors that influence the level of population is the random effect model. In this model all assumptions are fulfilled. Significant factors affecting population are number of births. Births and deaths affect the population of 99.95% and the remaining 0.05% is influenced by other factors not examined Penduduk adalah semua orang yang berdomisili di wilayah geografis Indonesia selama enam bulan atau lebih dan atau mereka yang berdomisili kurang dari enam bulan tetapi bertujuan menetap. Pertumbuhan penduduk diakibatkan oleh dua komponen yaitu: fertilitas dan mortalitas. Untuk mengetahui seberapa besar keterkaitan antara jumlah penduduk dengan jumlah kelahiran dan kematian di setiap kecamataan Kota Semarang, harus diamati dalam beberapa periode waktu tertentu dan beberapa tempat secara bersamaan. Sehingga dalam penelitian ini digunakan metode regresi data panel. Dalam pengujian regresi data panel, didapatkan hasil bahwa Model regresi data panel yang terbentuk untuk mengetahui faktor-faktor yang mempengaruhi tingkat jumlah penduduk adalah model random Effect. Pada model tersebut semua asumsi terpenuhi. Faktor yang signifikan mempengaruhi jumlah penduduk adalah jumlah kelahiran. Kelahiran dan kematian mempengaruhi jumlah penduduk sebesar 99.95% dan sisanya sebesar 0.05% dipengaruhi oleh faktor- faktor lain yang tidak di teliti.    

scholarly journals Pengaruh Inflasi, Kurs Dan Modal Kerja Terhadap Laba Perusahaan Perbankan

2020 ◽  
Vol 2 (1) ◽  
pp. 261
Author(s):  
Silvia Meiliana ◽  
Nuryasman M. N.
Keyword(s):  
Panel Data ◽  
Exchange Rates ◽  
Sampling Method ◽  
Working Capital ◽  
Purposive Sampling ◽  
Analysis Techniques ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

The purpose of this research is to examine whether (1) inflation effect to banking profits (2) exchange rates effect to banking profits (3) working capital effects to banking profits. Data collection was done by purposive sampling method, so that 38 banking companies were collected. Data analysis techniques using panel data regression analysis techniques. Data is processed using Eviews 10.0. The results of this study indicate that inflation and working capital have a positive effect to profit. Meanwhile, the exchange rate has a negative effect to profit. Penelitian ini bertujuan untuk menguji apakah (1) inflasi berpengaruh terhadap laba perbankan (2) kurs berpengaruh terhadap laba perbankan (3) modal kerja berpengaruh terhadap laba perbankan. Data diambil dengan metode purposive sampling, sehingga terkumpul 38 perusahaan perbankan. Teknik analisis data menggunakan teknik analisis regresi data panel. Data diolah dengan menggunakan Eviews 10.0. Hasil penelitian ini menunjukkan bahwa  inflasi dan modal kerja mempunyai pengaruh positif terhadap laba. Sedangkan, kurs mempunyai pengaruh negatif terhadap laba.

scholarly journals Research on the Correlation Between Energy Reform and City Development Based on Cointegration and Causality Analysis Part 2 Interpretative Structure Model and Panel Data Regression Model

2020 ◽  
Vol 218 ◽  
pp. 02020
Author(s):  
Yan Zhang ◽  
Zhenwei Li ◽  
Zhe Xie ◽  
Luxin Zhao ◽  
Chen Zhang ◽  
...  
Keyword(s):  
Panel Data ◽  
Regression Model ◽  
Structure Model ◽  
Causality Analysis ◽  
City Development ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Industry Environment ◽  
Energy Reform

This article builds a model of energy-city development correlation, and factors for energy systems to drive city development. It also analyzes the corresponding indicators and determines the intercorrelation between the indicators. In the end, the article collects and categorizes energy, industry, environment, and other representative indicators from prefecture-level cities in China, and analyzes the factors affecting energy and city development based on the panel data regression model.

scholarly journals Profitability Condition With Stylized Fact of Banking Industries in Indonesia, Malaysia and Thailand

2020 ◽  
Vol 5 (2) ◽  
pp. 15
Author(s):  
Helma Malini
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Fixed Effect Model ◽  
Capital Adequacy ◽  
Return On Assets ◽  
Factors Affecting ◽  
Independent Variables ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

<p><em>The survival of banking industries are determined by many factor including profitability earn during the years. Therefore, this study investigates factors affecting profitability of banks in ASEAN. This study uses 10 banks with the largest assets in Indonesia, Malaysia and Thailand with sample studies of 30 banks in ASEAN with 10 years of operationalization duration. Return on assets (ROA) is the dependent variable and the independent variables used are non-performing loans (NPL), capital adequacy ratios (CAR), total assets (Size), loan-to-deposit ratio (LDR), domestic product growth gross (GDP growth), inflation, interest rates and exchange rates. </em></p><em>Data is processed using panel data regression with the Cochrance Orcutt method on the basis of the Common and Fixed Effect Model with the combination of stylized facts among each countries. The final results of this study are varied among countries. In Indonesia only NPLs have a significant significance of ROA, which is a significant negative. In Malaysia, only the exchange rate is significant to ROA, which is a significant negative. In Thailand, only NPI has a significant effect on ROA, which is a significant negative. Overall in Southeast Asia, only NPLs, interest rates and exchange rates significantly affect ROA, which is a significant negative. In other independent variables, it does not have a significant effect on ROA.</em>

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

scholarly journals Faktor-Faktor Yang Mempengaruhi Profitabilitas Perbankan Indonesia (Factors Affecting the Profitability of Indonesian Banking)

2021 ◽  
Vol 28 (2) ◽  
pp. 1
Author(s):  
Intan Anjeli Renta ◽  
Juliana Kadang
Keyword(s):  
Panel Data ◽  
Credit Risk ◽  
Fixed Effect Model ◽  
Operational Efficiency ◽  
Factors Affecting ◽  
Effect Model ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression ◽  
Model Approach

This study aims to analize the factors that affect the profitability of banks at state-owned banks and private foreign exchange banks listed on the IDX in 2015-2019. The factors used are liquidity, capital, credit risk, and operational efficiency. The analysis technique used is panel data regression with the Fixed Effect Model approach. The results showed that simultaneously liquidity, capital, credit risk and operational efficiency had a significant effect on profitability. then partially liquidity and capital do not have a significant effect on profitability, while credit risk and operational efficiency have a significant effect on profitability.

A mechanism to improve the allocation of public investment funds

2020 ◽  
Vol 26 (7) ◽  
pp. 1522-1533
Author(s):  
A.V. Larionov
Keyword(s):  
Panel Data ◽  
Random Effects ◽  
Public Investment ◽  
Allocative Efficiency ◽  
Investment Funds ◽  
The Public ◽  
Panel Data Regression ◽  
Data Regression ◽  
Efficiency And Effectiveness ◽  
Effective System

Subject. This article deals with the issue of improving the public investment allocative efficiency. Objectives. The article aims to develop an approach to improve the efficiency and effectiveness of public investment in the economy. Methods. The study is based on a panel data regression with random effects. Conclusions and Relevance. All sectors of the economy have different demand for investment resources attracted, determined by operational and technological aspects. The results of the study can be used to develop an effective system of public investment.

Determinants Of Capital Structure For Multinational And Domestic Companies In India: Panel Data Regression Model

2019 ◽  
Vol 118 (7) ◽  
pp. 147-154
Author(s):  
K. Maheswari ◽  
Dr. J. Gayathri ◽  
Dr. M. Babu ◽  
Dr.G. Indhumathi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Regression Model ◽  
Business Risk ◽  
Return On Assets ◽  
Panel Data Regression ◽  
Data Regression ◽  
Return On Capital ◽  
Domestic Companies ◽  
The Capital Structure

The capital structure refers to the components of capital needed to establish and expand its business activities. The study was made with an objective to examine the determinants of capital structure of multinational and domestic companies listed in S&P BSE automobile sector. The study concluded that there is significant impact on capital structure determinants such as size, business risk, non debt shield tax, return on assets, tangibility, profit, return on capital employed and liquidity on the capital structure of multinational and domestic companies of Indian Automobile Sector.  

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