scholarly journals Pengaruh Penyesuaian Harga Jual Bahan Bakar Minyak (BBM) Tehadap Konsumsi BBM dan Inflasi

2020 ◽  
Vol 4 (2) ◽  
pp. 165-182
Author(s):  
Aep soleh Soleh
Keyword(s):  
Inflation Rate ◽  
Secondary Data ◽  
Mineral Resources ◽  
Substitution Effect ◽  
Least Square ◽  
Fuel Price ◽  
Ordinary Least Square ◽  
Price Increases ◽  
The Government ◽  
The Impact

This study investigates the impact of fuel price adjusment on changes in fuel consumption and inflation in Indonesia. This study uses secondary data obtained from the Ministry of Energy and Mineral Resources, the Ministry of Finance, the Ministry of Trade, Bank Indonesia, the Central Bureau of Statistics (BPS), and PT Pertamina (Persero) from 2006 to 2016 and analyzed by using Ordinary Least Square (OLS) method. Research showed, if the government increases Premium Gasoline's price by 10%, in average its consumption would decrease around 2,99 %. However, if the Pertamax Gasoline's price increases, the consumption of Premium Gasoline would also increase due to substitution effect. Every 10% increase in Subsidized Diesel's price, in average its consumption would decrease around 4,80 % and vice versa. However, if the Pertamina dex's price increases, the consumption of Subsidized Diesel would also increase due to substitution effect. Moreover, IDR1.000/L increase in Premium Gasoline's Price would contribute 1,10 % to the inflation rate. On the other hand, increase in Subsidized Diesel's price does not contribute to the inflation rate.

scholarly journals Impact of Exchange Rate Management on the Nigerian Economic Growth: Empirical Validation

2019 ◽  
Vol 1 (2) ◽  
pp. 28-35
Author(s):  
Friday Osaru Ovenseri Ogbomo ◽  
Precious Imuwahen Ajoonu
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Least Square ◽  
Ordinary Least Square ◽  
Exchange Rate Management ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examined the impact of Exchange Rate Management on economic growth in Nigeria between 1980 and 2015. The study was set to gauge how the management of exchange rate in Nigeria has impacted the economy. The study employed the Ordinary Least Square (OLS) method in its analysis. Co-integration and Error Correction Techniques were used to establish the Short-run and Long-run relationships between economic growth and other relevant economic indicators. The result revealed that exchange rate management proxy by various exchange rates regimes in Nigeria was not germane to economic growth. Rather, government expenditure, inflation rate, money supply and foreign direct investment significantly impact on economic growth in Nigeria. It is against this backdrop that the Nigerian economy must diversify her export base to create room for more inflow of foreign exchange.  

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KONSUMSI MASYARAKAT DI PROVINSI ACEH

2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Tarmizi Gadeng
Keyword(s):  
Interest Rate ◽  
Inflation Rate ◽  
Econometric Model ◽  
Least Square ◽  
The Other ◽  
Ordinary Least Square ◽  
Other Hand ◽  
The Interest Rate ◽  
The Impact

The main objective of this study is to find out the impact of the inflation rate,percapita income as wall as the interest rate on the household comsumption of the population of Aceh.Secondary data 1983 – 2008 are collected or couning from various ageucig and instution and ordinary least square econometric model used as a method of analysis.            The result of the study tells us that the rate of inflation and the percapita income hare positive and significoutly effect on the household consumtion while the rate of interest on the other hand statistically has a negative and not significant effect on the house hold consumption. The interest rate which reflect the influence of the consumption has a positive, not significantly and in elactic. 

scholarly journals The Efficiency of Farmers Group Association on Strengthening The Institutions of Community Food Distribution Program Stage in Yogyakarta Special Region 2014

2017 ◽  
Vol 2 (1) ◽  
pp. 035
Author(s):  
Eny Ivan's ◽  
Jangkung Handoyo Mulyo ◽  
Dwidjono Hadi Darwanto
Keyword(s):  
Secondary Data ◽  
Food Distribution ◽  
Least Square ◽  
Data Envelopment ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
The Government ◽  
Agriculture And Food ◽  
Group Association ◽  
Special Region

In protecting and empowering the farmers, farmers group, and farmers group association (Gapoktan) from falling prices of grain and rice at harvest time and food accessibility problems, the government through the Ministry of Agriculture and Food Security Agency implemented the Strengthening the Institutions of Community Food Distribution Program (Strengthening-LDPM). This research was aimed to analyse the level of efficiency and to identify factors influencing the efficiency of Gapoktan in implementing the Strengthening-LDPM by involving 40 Gapoktan post-independence. The data used in this research were primary and secondary data, drawn from stockopname reports in 2014. This research used DEA (Data Envelopment Analysis) analysis, assuming that CRS (Constant Return to Scale) and VRS (Variable Return to Scale) using output-oriented assumptions. In addition, factors affecting the efficiency were analysed using multiple regression OLS (Ordinary Least Square). Based on DEA-CRS approach, as much as 37.5% Gapoktan were efficient and 62.5% Gapoktan were inefficient. Whereas with the approach of the DEA-VRS, 50% Gapoktan were efficient and 50% Gapoktan were inefficient. The average age of Gapoktan board, total volume of grain or rice sales, total volume of food reserve, and total loan interest affect significantly in increasing the efficiency of Gapoktan in running the strengthening-LDPM Program.

scholarly journals The Effect Of Credit To The Inflation Rate Through Gross Domestic Product In Indonesia

2018 ◽  
Vol 5 (2) ◽  
pp. 78
Author(s):  
Anas Iswanto Anwar ◽  
Ali Akbar
Keyword(s):  
Gross Domestic Product ◽  
Inflation Rate ◽  
Secondary Data ◽  
Least Square ◽  
Bank Credit ◽  
Domestic Product ◽  
Working Capital ◽  
Ordinary Least Square ◽  
Credit Channels ◽  
Transmission Of Monetary Policy

Credit markets are not always balanced because of unbalanced information and other causes. There are two credit channels that influence the transmission of monetary policy from finance to the real sector, namely bank credit channels that are more concerned with the behavior of banks that are more selective in credit selection because of asymmetric information.This study aims to determine the effect of credit that consists of investment credit, working capital credit and consumption credit to the inflation rate through Gross Domestic Product (GDP) in Indonesia. The overall data used in this study is secondary data from the result of systematic recording in the form of time series from 2007 to 2016 obtained from the Central Bureau of Statistics, Bank Indonesia Report and Indonesian Banking Statistics. Data were analyzed by using multiple regression with Ordinary Least Square (OLS) approach. Based on the results of the research, simultaneous credit has a positive and significant effect on inflation through GDP and partially found that investment credit and working capital credit have positive and significant effect to inflation through GDP, while consumption credit has positive and insignificant effect.

scholarly journals Impact of Agricultural Financing on Nigeria Economy

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Ayodele E. Ademola
Keyword(s):  
Economic Growth ◽  
Financial Institutions ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square ◽  
Macroeconomic Policies ◽  
Agricultural Finance ◽  
Ordinary Least Square ◽  
The Impact

The importance of agricultural surplus for the structural transformation accompanying economic growth is often addressed by development economists. In view of this, the study empirically assesses the impact of agricultural finance on the growth of Nigerian economy. This paper employed secondary data and econometric techniques of Ordinary Least Square (OLS) of multiple regression estimates. The result of the model used suggests that the productivity of investment will be more appropriately financed with resources administered by the commercial and specialized financial institutions. And also, that there are an urgent and sincere needs to expand the credit size to the agricultural sector in order to enhance the productivity growth of the sector. It is recommended that maintenance of credible macroeconomic policies that is pro-investment in overhauling the Agricultural Sector and debt-equity swap option are necessary for an agricultural-led economic growth.

scholarly journals The Effect and Impact of Signals on Investing Decisions in Reward-Based Crowdfunding: A Comparative Study of China and the United Kingdom

2020 ◽  
Vol 13 (12) ◽  
pp. 325
Author(s):  
Sardar Muhammad Usman ◽  
Farasat Ali Shah Bukhari ◽  
Huiwei You ◽  
Daniel Badulescu ◽  
Darie Gavrilut
Keyword(s):  
Information Asymmetry ◽  
Goal Setting ◽  
Risk Sharing ◽  
Project Success ◽  
Secondary Data ◽  
Least Square ◽  
Ordinary Least Square ◽  
The United Kingdom ◽  
The Uk ◽  
The Impact

When traditional financial institutions faced difficulties in the task of assisting micro, small and medium-sized enterprises (MSMEs) with capital allocations, crowdfunding can upsurge as an innovative and vibrant vehicle that can support and assist the activity of such MSME’s, by financing their activity and instrumenting the process of risk-sharing. Simultaneously with its enormous growth and popularity, crowdfunding is faced by several key challenges, one of biggest such challenges referring to the problem of information asymmetry that can exist between fundraisers and potential backers. Based on the signaling theory, a research taxonomy has been developed for a comparative analysis between China and the UK. This has been accomplished by retrieving secondary data from the following crowdfunding platforms: Dreamore (Chinese platform) and Crowdfunder (UK platform). The objective of the study is to investigate both the effect and the impact that signals (goal setting, project comments and updates) have upon mitigating the problem of information asymmetry, in order to make the project successful. We have thus deployed an Ordinary Least Square (OLS) regression and validated the models through a robustness check. The findings reveal that signals actively mitigate the problem of information asymmetry in both countries, but this varies in the sense that higher goal setting has a more positive/impactful relationship with project success in the UK than it does in China. Project comments are more positively associated with project success in China as compared to the UK, whereas project updates are more negatively related to project success in China as compared to the UK. These findings demonstrate the importance that signals have upon successful crowdfunding activities/campaigns, highlighting the theoretical and practical influence and relevance for potential fundraisers in the two aforementioned economies.

Electronic fraud: an emerging cause of bank failure in Nigerian deposit money banks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Folowosele Folarin Akinwale ◽  
Ikpefan Ochei Ailemen ◽  
Isibor Areghan
Keyword(s):  
Deposit Insurance ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Least Square Method ◽  
Least Square ◽  
Annual Reports ◽  
Content Type ◽  
Ordinary Least Square ◽  
Unethical Practices ◽  
The Impact

Purpose This study aims to review the degree to which fraud and other unethical practices especially in the digital space have affected the Nigerian banking industry both in the past and present, and how it will be a growing concern in the imminent future. The objective of the study was to examine the impact of electronic fraud on the quality of assets and return on assets of Nigerian deposit money banks. Design/methodology/approach The research used secondary data for the periods 2006 till 2018, which were collected from the Nigeria Deposit Insurance Corporation annual reports. Descriptive analysis and the ordinary least square method of regression analysis were used for data analysis. Findings Findings revealed that electronic fraud cases increased progressively over most of the years of study, which can be attributed to the increased bank products that are electronic-based. Originality/value Many of the reviewed literature examined electronic fraud and its impact on bank profitability but this study examined the cause of electronic fraud and what can be done to curtail it.

scholarly journals Agricultural Sub-Sectors Performance: An Analysis of Sector-Wise Share in Agriculture GDP of Pakistan

2016 ◽  
Vol 8 (2) ◽  
pp. 156 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Jiang Yuansheng ◽  
Habibullah Magsi
Keyword(s):  
Secondary Data ◽  
Least Square ◽  
Model Parameters ◽  
Ordinary Least Square ◽  
Empirical Results ◽  
Independent Variables ◽  
Minor Crops ◽  
The Government

This study focused on the agricultural sub-sectors performance: an analysis of sector-wise share in agriculture GDP in Pakistan by using secondary data from 1998 to 2015. Ordinary Least Square (OLS); an econometric method was applied to estimate the model parameters. For this purpose the study considered dependent variable of agriculture GDP and several independent variables were contain major, minor crops, livestock and forestry. The empirical results indicate that agricultural sub-sectors contribute positively and significantly in the agriculture GDP. However, forestry sub-sector had expected sign but the variable was not significant. In agriculture, forestry sub-sector share was considered very poor compared with other sub-sectors could be due to less attention paid from the government. The results suggest that the Government of Pakistan should make some intervention in the agricultural sub-sectors by introducing innovative agriculture technologies that could improve the sub-sectors share in the overall agriculture GDP.

scholarly journals Pengaruh Penderita Penyakit Berbahaya,Kemiskinan, dan Pengangguran di Indonesia terhadap Permintaan BPJS Kesehatan

2019 ◽  
Author(s):  
Ade Faisal Fahroez ◽  
Estro Sihaloho
Keyword(s):  
Secondary Data ◽  
Government Agency ◽  
Regression Method ◽  
Least Square ◽  
Tuberculosis Patients ◽  
Ordinary Least Square ◽  
The Public ◽  
Multiple Regression Method ◽  
The Government ◽  
The Many

Social Security in Indonesia is managed by Badan Penyelenggara Jaminan Kesehatan or BPJS Kesehatan, BPJS Kesehatan is a government agency tasked with managing contributions or funds from the public to ensure their health. In 2017 the number of participants BPJS Kesehatan as many as 176,738,998 people, of which 99,044,288 people, their contributions in the form of premiums paid by the government and the other paid financed by institutions where they work or pay independently. This indicates that as many as 56.1% of them are considered not able to pay dues independently, and are considered a poor society. Of the many participants BPJS Kesehatan, as much as 1.3% are people with dangerous diseases (Coronary Heart, TBC, Cancer, and AIDS). The purpose this paper is to find out how big the influence of poverty, unemployment, patients with coronary heart disease, tuberculosis patients, people with AIDS disease, and cancer patients to the number of participants BPJS Kesehatan. The method used in this research is multiple regression method using OLS (ordinary Least Square) model by taking secondary data from related institutions. From the data obtained, it turns out all the mentioned variables have a positive correlation to the increase of health insurance participants through BPJS Kesehatan.

scholarly journals Impact of democracy on literacy rate

2020 ◽  
Vol 9 (7) ◽  
pp. 204-211
Author(s):  
Md Arif Hosen ◽  
Sujan Chandra Paul ◽  
Md Harun Or Rosid
Keyword(s):  
Positive Relationship ◽  
Civil Liberties ◽  
Negative Relationship ◽  
Least Square ◽  
Literacy Rate ◽  
Significant Positive Relationship ◽  
Ordinary Least Square ◽  
Significant Negative Relationship ◽  
The Government ◽  
The Impact

This study investigates the impact of democracy indices on the literacy rate. Panel Data of 134 Countries from 2007-2018 were collected from the website the World Bank and Gapminder. This study uses Ordinary Least Square (OLS), Pooled Ordinary Least Square (POLS), Driscoll-Kraay (DK), Second Stage Least Square (2SLS), Generalized Methods of Moments (GMM) methods. This research has found that political participation index and political culture index has a significant positive relationship with literacy rate in all the method. The functioning of the government index has a significant positive relationship and electoral process and the pluralism index has a significant negative relationship with literacy rate in all the methods except the GMM method. The civil liberties index has a significant negative relationship with literacy rate in POLS and in the other models, there is no significant relationship between the civil liberties index and literacy rate.

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