Analysis of the factors affecting electricity consumption in DR Congo using Fully Modified Ordinary Least Square (FMOLS), Dynamic Ordinary Least Square (DOLS) and Canonical Cointegrating Regression (CCR) estimation Approach

Energy ◽  
2021 ◽  
pp. 121025
Author(s):  
Matumona Lubabu Merlin ◽  
Yinfei Chen
Keyword(s):  
Electricity Consumption ◽  
Least Square ◽  
Dr Congo ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Canonical Cointegrating Regression

scholarly journals The Factors Affecting Land Prices In Housing Location In Sidoarjo Regency

2017 ◽  
Vol 1 (1) ◽  
pp. 37-47
Author(s):  
Partomi Simangunsong ◽  
Arasy Alimudin ◽  
Muh. Barid Nizaruddin Wajdi
Keyword(s):  
Residential Location ◽  
Least Square ◽  
City Center ◽  
Sale Price ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Road Width ◽  
Log Linear ◽  
Road Distance

The need for residential location is one of the basic needs of the community and the attractiveness of the residential location is a unique feature where this feature is not made by the respective occupants, but by external factors from the residential environment in the area. This study aims to analyze the factors that are considered as the basis that affect the price of land. This research uses quantitative approach with associative research method. Linear analysis with quadratic method. Ordinary Least Square (OLS). From the analysis of this research model obtained log-linear F-accounting 70,162 while the value of F-table (0,05; 5,48) is 2,45. because F-count> F-table, Ho means rejected and explanatory variables include Distance to city center, Distance to main road, Distance to toll gate, Road width, and security simultaneously can be explained significantly at land sale price.

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 Analysis of Factors Affecting the Demand of Chicken Egg’s in the Traditional Market of Medan City

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Dwi Andini Puspita Sari br Sinaga ◽  
Armyn Hakim Daulay ◽  
Edhy Mirwandhono ◽  
Sayed Umar ◽  
Iskandar Sembiring
Keyword(s):  
Least Squares Method ◽  
Secondary Data ◽  
Least Square ◽  
Primary Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
On Demand ◽  
Chicken Egg ◽  
Traditional Market ◽  
Chicken Eggs

The development of the society resulting for animal protein needed such as chicken egg’s increased and affect the demand for eggs in Medan. Therefore, it is necessary to do research to know the factors that influence the demand of chicken egg in traditional market of Medan city at consumer level by using Ordinary Least Square (OLS) method or least squares method with SPSS 22.0 tool. This study was conducted from May to June 2017. This study used primary data obtained from observations and interviews of respondents. The location of the research is determined purposively and the respondent determination by accidental method. Primary data was obtained from 90 consumers of chicken eggs and added with secondary data from government agencies. Then it was analyzed by multiple linear analysis with 5 demand variables namely, the number of dependents, education, income, egg price of chicken, and age. The results showed that all variables simultaneously had a significant effect on demand. Partially only variable of dependent which have real effect to demand of chicken egg of race. So it can be concluded that the demand for eggs in Medan is only influenced by the number of dependents

scholarly journals Analisis Pertumbuhan Ekonomi Daerah Provinsi Jambi

2018 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Nurdin Nurdin
Keyword(s):  
Economic Growth ◽  
Capital Expenditure ◽  
Secondary Data ◽  
Regression Equation ◽  
Least Square ◽  
Analysis Tool ◽  
Working Population ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Investment Capital

This study uses secondary data collected by the object of research in Jambi Province in the form of factors affecting the economic growth of Jambi Province sourced from the Central Bureau of Statistics (BPS). Data were collected during the period 2004 to 2015. The purpose of this study is to analyze and know what factors affect the economic growth of Jambi Province period 2004-2015. The analytical tool used is this research using econometric analysis tool with Ordinary Least Square (OLS) method with multiple linear regression equation through the aid of SPSS software program. 21:00. Based on the discussion of data analysis results in this study, it can be concluded the result of R-squared calculation shown in the above equation obtained R2 value of 0.989. This shows that about 98.90 percent of the upturned economic growth (Yt) in Jambi Province is influenced by investment variable (X1t), capital expenditure (X2t), working population (X3t), unemployment (X4t) and poverty (X5t). While the remaining 1.10 percent, explained by other variables that are not included into the regression equation. Keywords: Economic Growth, Investment, Capital Expenditure, Working Population, Unemployment And Poverty

scholarly journals Assessing factors affecting FDI in developing Asian countries

2021 ◽  
Vol 9 (2) ◽  
pp. 16-28
Author(s):  
P. Gupta
Keyword(s):  
Random Effect ◽  
Least Square ◽  
Market Size ◽  
Asian Countries ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Fixed Capital Formation ◽  
Effect Regression ◽  
Independent Variable

The paper focuses on various factors that affect the inflow of Foreign Direct Investment in developing countries. The study majorly deals with Asian countries, namely India, China, Myanmar, Nepal, Pakistan, Bangladesh and Bhutan, that are progressing from being aid-dependent to trading giants. The factors affecting FDI are majorly categorised into dependent and independent variables. Here, in this study, the dependent variable considered is FDI inflow, and independent variables are market size, the value of the currency, export, import, gross fixed capital formation, GDP deflator, cost of borrowing and economic reforms. Pooled Ordinary Least Square (OLS), fixed effect and random effect regression analysis is done to ascertain the best regression model and various tests are performed to check the intensity of effect caused by each independent variable on our dependent variable.

scholarly journals ANALISIS PERMINTAAN TELUR DI KABUPATEN SLEMAN (Analysis of Egg Demand in Sleman District)

2010 ◽  
Vol 9 (2) ◽  
pp. 197-209
Author(s):  
Ani Suryani
Keyword(s):  
Time Series Data ◽  
Descriptive Analysis ◽  
Multiple Regression Model ◽  
Least Square ◽  
Series Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Income Per Capita ◽  
Egg Consumption ◽  
Per Capita

The objectives of this research are to determine factors affecting egg demand during the period of 1991 to 2007, and to examine the prospect of egg as inferior, normal or superior commodity in Sleman District. The research location is determined purposively. The method used in this research is descriptive analysis with time series data (1991-2007). This study uses demand function approach by applying multiple regression model estimated using OLS (ordinary least square).The result of estimation shows that the partial demand of egg in Sleman District is caused by the price of fish, rice, population, income per capita and economical crisis. The elasticity of egg demand toward price elasticity is inelastic in the scale of 0.59. Egg in this district is categorized as a normal goo. This conclusion is based on finding that income per capita is positively correlated toward egg demand with the coefficient of regressionof 0.36. Egg consumption at Sleman district from time to time tends to increase coinciding with the growth of income per capita.Key words : Demand, Egg, Elasticity, Forecasting, Normal Good. 

scholarly journals Determinants of Internet Usage During COVID-19 on the Young People in Dhaka, Bangladesh

2020 ◽  
Vol 7 (1) ◽  
pp. 118-124
Author(s):  
Apu Chandra Das ◽  
Aninda Roy ◽  
Md Sakib Ibne Salam
Keyword(s):  
Mental Health ◽  
Regression Method ◽  
Least Square ◽  
Internet Usage ◽  
The Internet ◽  
Dhaka City ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Potential Factors ◽  
Use Of The Internet

As the COVID-19 pandemic is spreading and becoming more contagious, people tend to stay home and face mental health challenges such as anxiety, fear, nervousness, and loneliness. In this time, students are using the internet heavily for their study purpose, and jobholders are for their official works. At the same time, the use of the internet might be a relief from those mental challenges. This manuscript assesses a correlation between daily internet usage before and during COVID-19 and found to be nearly strong positive (r=0.66). Then we determine the potential factors affecting daily internet usage during COVID-19 among Bangladeshi students and jobholders who are currently living in Dhaka city by the ordinary least square (OLS) regression method. Our results underpin that the type of internet, regular internet usage before COVID-19, and the effect of internet usage on the study are significantly affecting current internet usage.

scholarly journals Technical efficiency and factors affecting rice production in tidal lowlands of South Sumatra province Indonesia

10.5219/1287 ◽  
2020 ◽  
Vol 14 ◽  
pp. 101-111
Author(s):  
Khairul Fahmi Purba ◽  
Muhammad Yazid ◽  
Mery Hasmeda ◽  
Dessy Adriani ◽  
Meitry Firdha Tafarini
Keyword(s):  
Technical Efficiency ◽  
Returns To Scale ◽  
Efficiency Score ◽  
Rice Production ◽  
Least Square ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Production Function Approach ◽  
Rice Consumption ◽  
Phosphorus And Potassium

Rice has been the staple food for most Indonesians, so the rice consumption in Indonesia is considerably high. Rice is cultivated in many agroecosystems, including tidal lowlands. Some tidal lowlands are considered suitable for rice cultivation. Therefore, tidal lowlands may support food security in Indonesia. However, productivity remains a problem in which inputs are not used efficiently. This study aims to determine the technical efficiency and identify factors affecting rice production in tidal lowlands of South Sumatra, one of main rice barns in Indonesia. A survey was conducted by interviewing 93 farmers in Telang Rejo Village. A data envelopment analysis (DEA) with output-oriented and variable returns to scale (VRS) approach was applied to measure technical efficiency score from each farm observed. An ordinary least square (OLS) regression with a Cobb-Douglass production function approach was employed to analyse the factors affecting rice production in tidal lowlands of South Sumatra, Indonesia. The results showed that majority of rice farms in the tidal lowlands of South Sumatra Indonesia were inefficient. There were 44 rice farms (47.31%) that were efficient, 5 rice farms (5.38%) that were inefficient under increasing returns to scale and 44 rice farms (47.31%) that were inefficient under decreasing returns to scale. The inputs, such as nitrogen, phosphorus, and potassium fertilisers, herbicides, insecticides and fungicides had positive significant influences on rice production in the tidal lowlands of South Sumatra, Indonesia.

scholarly journals ANALYSIS OF FACTORS AFFECTING THE RETURN ON ASSETS OF BANK LISTED IN INDONESIA STOCK EXCHANGE PERIOD 2008-2011

2017 ◽  
Vol 13 (2) ◽  
pp. 93
Author(s):  
Wito Wito
Keyword(s):  
Firm Size ◽  
Stock Exchange ◽  
Operational Efficiency ◽  
Least Square ◽  
Capital Adequacy ◽  
Efficiency Ratio ◽  
Return On Assets ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Capital Adequacy Ratio

<p>This research aims to analyze the influence of the non-performing loan, loan to deposit ratio, operational efficiency ratio, capital adequacy ratio and firm size on return on assets banking company listed on the Indonesia stock exchange during the period 2008-2011.</p><p>The Sample used in this study is as much as 23 companies, whereas the methods of analysis used is multiple regression based on ordinary least square (OLS)</p><p>The results showed that based on the test-t, it can be inferred that the non-performing loan, the operational efficiency ratio and firm size effect significantly to profitability (as measured by return on assets). While the loan to deposit ratio and capital adequacy ratio was not significant effect of the return on asset banking company. In the meantime, based on test-F all independent variables influence significantly to return on asset banking company listed on the Indonesia stock exchange period 2008-2011</p>

scholarly journals The impact of credit accessibility on aquaculture production in Mekong delta, Vietnam

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Nguyen Thi Y Ly ◽  
Le Khoa Nguyen
Keyword(s):  
Mekong Delta ◽  
Least Square ◽  
Least Square Estimation ◽  
Variable Model ◽  
Factors Affecting ◽  
Credit Access ◽  
Ordinary Least Square ◽  
Net Revenue ◽  
The Impact ◽  
Aquaculture Production

This paper aims to assess the impact of credit access on aquaculture profitability of farmers located in the Mekong Delta, Vietnam. The results imply that farmers with loans had higher profit in comparison to those without loans. In addition, the different status of land ownership in terms of gender influenced farming net revenue. Test for endogeneity of credit participation and income proved that the instrumental variable model was more accurate in comparison to the ordinary least square estimation in estimating factors affecting aquaculture farming profit.

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