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 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 Fraud Pentagon Model for Detecting Fraudulent Financial Reporting in Banking Sector

2020 ◽  
Vol 8 (6) ◽  
pp. 2832-2838
Keyword(s):  
Financial Reporting ◽  
Banking Sector ◽  
Influencing Factor ◽  
Secondary Data ◽  
Least Square ◽  
Fraudulent Financial Reporting ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Section Data ◽  
Recent Trends

Many discussions and opinions of experts who produce endangement or tools to detect the possibility of fraud in reporting financial performance. One of the most recent trends is the Pentagon fraud approach. Pentagon is a form that has five sides, there are five categories of causes of fraud in pentagon fraud, namely: pressure, opportunity, rationalization, competence and arrogance. Our research takes samples from banks, because the sector is the most common case of fraud. We made this quantitative secondary data-based research to have written evidence for reference in banking sectors. We use cross section data from 2016 year ends up to 2018. We own 35 samples from three years period, the total of 105 samples. We use ordinary least square using nine independent variables and one dependent variable. After conducting this research, we found that opportunity is the most influencing factor for company in banking sector to do fraud. While the others factor has no significant effect.

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 FAKTOR-FAKTOR PERMINTAAN DAN KESEDIAAN MEMBAYAR WISATAWAN TERHADAP OBJEK WISATA BERDASARKAN TRAVEL COST METHOD

2019 ◽  
Vol 6 (1) ◽  
pp. 50-67
Author(s):  
Rosminiati Rosminiati ◽  
Sofyan Syahnur ◽  
Abubakar Hamzah
Keyword(s):  
Secondary Data ◽  
Maximum Level ◽  
Travel Cost ◽  
Least Square ◽  
Primary Data ◽  
Travel Cost Method ◽  
Large Contribution ◽  
Travel Costs ◽  
Independent Variables ◽  
The Government

AbstractThis study aims to determine the factors that influence the number of domestic and foreign tourist visits and to measure the value of willingness to pay for the benefits of tourism objects in Banda Aceh by using the Travel Cost Method Approach. The type of data used is primary and secondary data. Primary data obtained by non-probability sampling, obtained as many as 30 domestic tourists and foreign tourists as many as 30 people, with the method of analysis of ordinary least square (OLS). Secondary data was obtained from the Central Statistics Agency, Tourism Office and other study literature. The results showed that for domestic tourists, the independent variables on travel costs, alternative costs, time costs, and income had significant effect on the number of domestic tourist visits with an R² value of 0.690. In foreign tourists, the independent variables of travel costs, alternative costs, and income have a significant effect on the number of visits, while the cost of time has no effect on the value of R² 0.693. The average value of WTP of foreign tourists is greater than that of domestic tourists, namely domestic tourists with a WTP of 4,000,000 rupiahs while foreign tourists are 217,000,000 rupiah. Given the large contribution of tourism to the economic conditions in Indonesia, especially in Aceh, the government should maintain and pay attention to the conditions of tourism objects and improve tourism facilities so that tourists reach the maximum level of utility so that it will increase the value of PAPs.

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 Apakah Sukuk Ritel Merupakan Ancaman Bagi penghimpunan Dana Pihak Ketiga Pada Bank Syariah?

2020 ◽  
Vol 25 (2) ◽  
pp. 182
Author(s):  
Muhammad Syakur
Keyword(s):  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Ordinary Least Square ◽  
Analysis Techniques ◽  
Independent Variables ◽  
Islamic Bank

This research is a quantitative study that aims to consider the effect of retail sukuk on the collection of third parties funds (TPF) in Indonesian Islamic Banks for 2015 - 2019. The data used are secondary data retrieved from Islamic Banking Statistics Report for shariah commercial and unit shariah bank quarterly. The method is multiple linear regression analysis techniques with Ordinary Least Square (OLS) approach, using TPF as the dependent variable while Retail Sukuk, ROA, Promotion Cost, Inflation and Bi rate as the independent variables. The results shows Retail Sukuk has a negative and significant impact on the collection of TPF which is intended that retail sukuk is causing the decrease of TPF amount in Indonesian Islamic bank. Therefore the Indonesian government needs to review the policies related to retail sukuk issuance in order to synergize with the development of Islamic Banks. Other results indicate that ROA and promotion costs have positive and significant influance for TPF collection in Indonesian Islamic bank while BI rate is the opposite.

scholarly journals Pengaruh Belanja Daerah dan Tenaga Kerja terhadap Output Sektor Swasta di Sumatera Selatan

MBIA ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 237-242
Author(s):  
Muhammad Bahrul Ulum
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Private Sector ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Ministry Of Finance

The purpose of this study was to determine the effect of regional spending namely direct and indirect spending, labor on the private sector in South Sumatra. The data used are secondary data in the form of time series 2006-2017 sourced from the DGT Ministry of Finance and the Central Statistics Agency (BPS) which have been processed. This research uses the Multiple Linear Regression analysis methods with Ordinary Least Square (OLS) method. The results of this study indicate that during 2006-2017 the expenditure variable directly had a positive and significant effect on private-sector output in South Sumatra. The indirect expenditure variable has a positive and significant effect on private-sector output in South Sumatra. Labor variables have a positive and significant effect on private-sector output in South Sumatra. Overall independent variables have a significant effect on the output of the private sector in South Sumatra.   Abstrak Tujuan penelitian ini untuk mengetahui pengaruh belnja daerah yakni belanja langsung dan belanja tidak langsung, tenaga kerja terhadap sektor swasta di Sumatera Selatan. Data yang digunakan adalah data sekunder dalam bentuk time series tahun 2006-2017 yang bersumber dari DJPK Kementerian Keuangan  dan Badan Pusat Statistik (BPS) yang telah diolah. Penelitian ini menggunakan metode analisis Regresi Linier Berganda dengan metode Ordinary Least Square (OLS). Hasil penelitian ini menunjukan hasil bahwa selama tahun 2006-2017 variabel belanja langsung berpengaruh positif dan signifikan terhadap output sektor swasta di Sumatera Selatan. Variabel belanja tidak langsung berpengaruh positif dan signifikan terhadap output sektor swasta di Sumatera Selatan. Variabel tenaga kerja berpengaruh positif dan signifikan terhadap output sektor swasta di Sumatera Selatan. Secara keseluruhan variabel bebas berpengaruh signifikan terhadap output sektor swasta di Sumatera Selatan. Kata kunci: Belanja Langsung, Belanja Tidak Langsung, Tenaga Kerja, Output Sektor Swasta

scholarly journals Determinan dan Trend Kemiskinan di Kabupaten Wonosobo Provinsi Jawa Tengah

2020 ◽  
Vol 4 (1) ◽  
pp. 120
Author(s):  
Farida Nur Isnaini ◽  
Abdul Aziz Ahmad ◽  
Suharno Suharno
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Minimum Wages ◽  
Least Square ◽  
Domestic Product ◽  
Series Data ◽  
Ordinary Least Square ◽  
The Government ◽  
Observation Period

This study aims to analyze the effect of population, education, regional Minimum Wages, inflation, and Gross Regional Domestic Product on poverty and analyze poverty trends in Wonosobo Regency. This study uses secondary data in the form of time series data with an observation period of 2002-2017 and the research method is multiple linear regression with the Ordinary Least Square model. The analysis shows that education, regional minimum wages and gross regional domestic product have a negative and significant impact on poverty in Wonosobo Regency. Population growth, and inflation does not have a significant effect on poverty in Wonosobo Regency. In addition, the future poverty trend of Wonosobo Regency is negative. These findings imply the first need for skills and expertise training programs in improving the quality of education. Second, the government must increase regional minimum wages, so that people can meet their daily needs. The government needs to increase economic growth in all sectors of the economy by using its potential.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI PENYERAPAN TENAGA KERJA DI PROVINSI JAMBI

2018 ◽  
Vol 18 (1) ◽  
pp. 77
Author(s):  
Muhammad Syafri ◽  
Zulfanetti Zulfanetti
Keyword(s):  
Minimum Wage ◽  
Time Series Data ◽  
Government Expenditure ◽  
Secondary Data ◽  
Least Square ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
High Population Growth

Jambi Province is one of the areas in Indonesia with a relatively high population growth is inseparable from the problem of employment. Problems encountered include increased workforce higher than labor absorption. Efforts to increase labor absorption can not be separated from influencing factors such as GRDP, provincial minimum wage, government expenditure. This study aims to analyze the effect of GRDP, Province Minimum Wage, Government Expenditure on Employment Absorption in Jambi Province during the period of 1997-2015. This research is expected to be used as one of the benchmarks for government and private sector to better pay attention to the level of employment in Jambi Province. The type of research used is descriptive quantitative with used secondary data and analysis by time series data, from 1997 to 2015 and used the Ordinary Least Square (OLS) regression analysis with the help of EVIEWS 9.0 software. The result of this research shows that partially PDRB variable in PDRB has significant effect to the absorption of manpower in Jambi Province. While the variables of UMP and Government expenditure did not affect the absorption of manpower in Jambi Province period 1997 - 2015. The coefficient of determination (R2) showed that the independent variables studied were able to explain 91 percent of labor absorption and the remaining 9 percent was explained by other variables not studied.Keywords: Employment Absorption, GRDP, UMP and Government expenditure

scholarly journals PENGARUH VARIABEL EKONOMI MAKRO TERHADAP PENGANGGURAN TERDIDIKDI JAWA TIMUR TAHUN 2010-2014

2016 ◽  
Vol 14 (1) ◽  
pp. 71
Author(s):  
Nur Ravika Famala Sari
Keyword(s):  
Cross Section ◽  
Government Expenditure ◽  
Secondary Data ◽  
Minimum Wages ◽  
Least Square ◽  
Domestic Product ◽  
Model Estimation ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Independent Variables

This study aims to determine the effect of Gross Regional Domestic Product, minimum wages district or city, investment, and government expenditure resources to the educated unemployment in East Java. This study uses secondary data for 5 years from 2010-2014. The method of data analysis used in this study is Ordinary Least Square (OLS). The data used in this study is data panel which combines time series and cross section. The results of this study show that partially variables of Gross Regional Domestic Product, minimum wages district or city, domestic investment, and government expenditure significant effect on Educated Unemployment in East Java, while foreign investment no significant effect on Educated Unemployment in East Java. Amount to 70,75% of the variation of independent variables in this study may explain the variable of educated unemployment in East Java, while the remaining 29,25% is influenced by other factor outside the model estimation.

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