scholarly journals Reciprocity Between Productivity and Credit Growth in Vietnam’s Co-operatives Credit Institutions

2020 ◽  
Vol 11 (1) ◽  
pp. 93
Author(s):  
Van Duong Ha
Keyword(s):  
Research Data ◽  
Regression Method ◽  
Credit Growth ◽  
Policy Makers ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Optimal Policies ◽  
Bidirectional Interactions ◽  
Credit Institutions

Co-operative credit institutions (CCIs) play an important role for achieving the national mission of financial inclusion. Therefore, we should be taking a wider view of productivity and credit and assessing productivity and credit growth. These are factors affecting the CCIs' operations and goals. This study used the panel data regression method with research data from thirty-two selected CCIs in Vietnam from 2013 to 2018. This study’s purpose to discover the reciprocity relationship productivity and credit growth in Vietnam's CCIs. By assessing the factors affecting the productivity and credit growth, the research results have determined the bidirectional interactions and causal relationships between productivity and credit growth. Based on the findings the study offers policy implication and new insights for developing a more sustainable CCIs and further emphasizes optimal policies to CCIs management that helps the policy-makers, CCIs managers and executives in improving the overall productivity, and the credit growth of CCIs going forward.

scholarly journals Factors affecting net interest margin of joint-stock commercial banks in Vietnam

2017 ◽  
Vol 24 (01) ◽  
pp. 92-103
Author(s):  
An Pham Hoang ◽  
Loan Vo Thi Kim
Keyword(s):  
Commercial Banks ◽  
Secondary Data ◽  
Regression Method ◽  
Factors Affecting ◽  
Managerial Efficiency ◽  
Net Interest Margin ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Interest Margin

This study analyzes factors affecting net interest margin of joint-stock commercial banks in Vietnam. The paper uses the secondary data of 26 banks with 182 observations for the period of 2008–2014 and applies the panel data regression method. The empirical results indicate that lending scale, credit risk, capitalization, and in-terest rate have positive impacts on net interest margin. In contrast, managerial efficiency has a negative effect on net interest margin. However, bank size and loan to deposit ratio are statistically insig-nificant to net interest margin.

Tingkat Kemiskinan di Sumatra Selatan dan Analisisnya

2020 ◽  
Vol 8 (2) ◽  
pp. 127-133
Author(s):  
Doni Putra ◽  
Rifki Khoirudin
Keyword(s):  
Research Method ◽  
Random Effect ◽  
Random Effect Model ◽  
Poverty Rate ◽  
Variable Number ◽  
Regression Method ◽  
Poverty Level ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the factors that affect the poverty rate of regencies / cities in South Sumatra Province in 2011 to 2017. In this study the factors that affect poverty rates are related to unemployment, HDI, MSE, and population. The research method used is the panel data regression method using the help of Eviews software. The final thanks is the Random Effect Model. The results of this study are the variable Number of Population has a significant effect on the level of poverty in the District / City in South Sumatra Province. However, the Unemployment Rate Variable, HDI, and UMK were not significant to the poverty level in the regencies / cities in South Sumatra Province.

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 The Most Important Factors Affecting Profitability of The Top 10 Commercial Banks in Asean

2018 ◽  
Vol 5 (5) ◽  
pp. 4742-4753
Author(s):  
Indra Satria ◽  
Edy Supriyadi ◽  
Agus s. Irfani ◽  
Achmad Djamil
Keyword(s):  
Gross Domestic Product ◽  
Commercial Banks ◽  
Financial Statements ◽  
Domestic Product ◽  
Bank Profitability ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Effect Regression ◽  
Macroeconomic Indicators

The purpose of this study is to find the most important factors affecting profitability of the top 10 commercial banks in ASEAN over the period 2012 to 2016. Panel data regression employed to identify factors affecting the banks profit. The data consist of macroeconomic indicators and bank financial statements which are collected from various sources. Data analysis was statistically conducted by using Eviews-9 statistical software based upon a fixed effect regression models. The study concluded that bank profitability (ROA) is significantly and positively affected by equity to asset (ETA), but it is not significantly affected by loan to deposit (LTD), investment to asset (ITA) and gross domestic product (GDP), eventhough these three variables have a positive patterns of influence on ROA. Approximately 87.03% of the bank’s profitability (ROA) explained by Loan to Deposit (LTD), equity to asset (ETA), investment to asset (ITA) and gross domestic product (GDP).

scholarly journals PENGARUH DEWAN KOMISARIS, DEWAN PENGAWAS SYARIAH (DPS) DAN DIREKSI TERHADAP KINERJA MAQASID SYARIAH

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Gista Rismayani ◽  
Ulfa Luthfia Nanda
Keyword(s):  
Board Of Directors ◽  
Supervisory Board ◽  
Sampling Technique ◽  
Islamic Banking ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Islamic Financial Institutions ◽  
Study Population ◽  
Board Performance

Sharia Maqasid Performance is the result described from a conceptual framework based on sharia maqasid theory. A maqasid sharia performance should be an effort for Islamic financial institutions to establish a goal that not only profit-oriented but also falah. This study aims to identify factors affecting the sharia maqasid performance of Islamic banking in Indonesia. The dependent variable used in this study is sharia maqasid performance and the independent variables in this study areboard of commissioners performance,� Sharia Supervisory Board Performance, and� board of directors performance. The study population is sharia� banking registered in Bank Indonesia. Using purposive sampling technique obtained 7 islamic banking which become object in this research.The data analysis using panel data regression by Eviews 9. The results indicates that the variables of board of commissioners performance, sharia board performance. and board of directors performance have no significant effect toward the Sharia Maqasid Performance.

scholarly journals Cadangan Emas, Harga Emas dan Stabilitas Mata Uang di Negara Islam

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Arina Azwani
Keyword(s):  
Exchange Rate ◽  
Regression Method ◽  
Gold Price ◽  
Paper Currency ◽  
Panel Data Regression ◽  
Data Regression ◽  
Islamic Countries ◽  
The Government ◽  
The Impact ◽  
Observation Period

This study ained to determine ‘the impact of gold reserves accumulation and gold price against exchange rate stability in USD. Observation on four Islamic countries in the world, Malaysia, Qatar, Indonesia and Pakistan that incorporated in OIC (Organization of Islamic Coorporation) with observation period within 18 years from 2000 – 2017 by using panel data regression method. Based on result of partial test, gold reserves does not have positive significant effect against exchange rate while gold price have positive significance effect against exchange rate to four selected Islamic countries. The result on this study want to be more encouraging the government especially in four Islamic countries to increase the stock of gold reserves because of the commodity and the value of gold that proven stable and to apply monetary policy based on Dinar Dirham rather than paper currency, the development of the current currency does not guarantee for economy’s stability, and the value of gold was clearly proven during time of Prophet Muhammad and has been explained in Al-Qur'an and As-Sunnah.

scholarly journals DETERMINAN NET INTEREST MARGIN PERBANKAN NASIONAL: APLIKASI MODEL REGRESI DATA PANEL FIXED EFFECT

2018 ◽  
Vol 8 (3) ◽  
pp. 640
Author(s):  
Zulkifli Z ◽  
Rispa Eliza
Keyword(s):  
Exchange Rate ◽  
Rate Ratio ◽  
Stock Exchange ◽  
Regression Method ◽  
Fixed Effect ◽  
Independent Variables ◽  
Net Interest Margin ◽  
Panel Data Regression ◽  
Data Regression ◽  
Interest Margin

The study aims to prove empirically the determinants of the performance of the net interest margin (NIM) ratio of banks listed on the Indonesia Stock Exchange (IDX) during the period 2005-2015 using the fixed effect panel data regression method with eleven banks selected as research samples. The results of the study found that the NPL, LDR, ROA, SBI, and Exchange Rate ratio significantly affected the NIM ratio performance. From the variables that significantly influence, the exchange rate variable is the most dominant variable, while the NPL ratio variable is the variable with the smallest influence. All independent variables, which consist of; CAR, NPL, LDR, BOPO, ROA, SBI, inflation, and exchange rates simultaneously affected the ratio of banking NIMs listed on the Indonesia Stock Exchange (IDX) during the period 2005-2015 significantly. Individually, the bank with the most sensitivity to changes in the NIM ratio is Bank International Indonesia Tbk (BII), while the least sensitive is Bank Victoria Indonesia Tbk (BVI)

scholarly journals Analysis of Factors Affecting Poverty in West Nusa Tenggara Province, Indonesia

2018 ◽  
Vol 73 ◽  
pp. 09005
Author(s):  
Supriaman ◽  
Firmansyah ◽  
Yusuf Agung Gunanto Edy
Keyword(s):  
Poverty Alleviation ◽  
National Level ◽  
Work Force ◽  
Poor People ◽  
Poverty Level ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Underdeveloped Region

Poverty is a fundamental and multidimensional problem in economic development, especially in developing countries such as Indonesia and underdeveloped region such as Nusa Tenggara Barat province. The percentage of poor people in Nusa Tenggara Barat is relatively higher compared to the percentage of poor people in national level. This study aims to analyze the factors which influence the poverty level in Nusa Tenggara Barat. By employing a panel data regression of 10 Regencies/Cities along 2010-2015, the study finds that the work force skill, investment and income per capita have significant effect to poverty level. The coefficient of work force skill has the highest impact to the level of poverty, which means that that variable is a major factor in reducing poverty in 10 Regencies/Cities of West Nusa Tenggara Province. Based on the results, the study recommends the policy that promote poverty alleviation need to be strengthened by communities and governments.

scholarly journals Investigating if the Financial Markets Performance Affects the Shadow Economy: Additional Evidence From EU Countries

2021 ◽  
Vol 12 (5) ◽  
pp. 130
Author(s):  
Pyrros Papadimitriou ◽  
Thomas Poufinas ◽  
George Galanos ◽  
Charalampos Agiropoulos
Keyword(s):  
Financial Markets ◽  
Shadow Economy ◽  
Underground Economy ◽  
Legal Aspects ◽  
Extensive Literature ◽  
Policy Makers ◽  
Panel Data Regression ◽  
Inflation Rates ◽  
Advanced Economies ◽  
Data Regression

The shadow economy also known as the informal or unobserved or underground economy, is a phenomenon that affects not only emerging markets and developing countries but also advanced economies. In general, this undeclared economic activity is hard to measure given its hidden nature in addition to its relation with unlawful activities. Nevertheless, apart from the legal aspects that may appear, shadow economy has negative implications in terms of tax revenue and social security contributions for the nations. To this end, an extensive literature has explored the measurement issues as well as the root causes of this phenomenon proving that the underground economy constitutes a significant portion of the overall economy in a number of countries. This paper tries to investigate the relationship between the shadow economy and the financial markets. This paper employs a number of panel data regression models to detect the association between the financial market metrics and the shadow economy (as a% of GDP). The outcome of this paper is that it finds evidence that increased market capitalization, GDP per capita and FDI as well as low unemployment and inflation rates contribute to low levels of shadow economy. This can be of value to policy makers and the competent authorities of the countries that wish to find means to contain their shadow economy.

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