scholarly journals The Prospect of the Readymade Garments Sector in Bangladesh: Result from Trend Analysis

2016 ◽  
Vol 3 (3) ◽  
pp. 99-108 ◽  
Author(s):  
Afroza Ahammed Shimu ◽  
Md. Shahidul Islam
Keyword(s):  
Growth Rate ◽  
Trend Analysis ◽  
Least Square Method ◽  
Study Data ◽  
Export Growth ◽  
Least Square ◽  
Growth Trend ◽  
Microsoft Excel ◽  
Employment Opportunities ◽  
Socio Economic Development

Purpose:  In Bangladesh readymade garments (RMG) sector, the backbone of the national economy is not the major sources of foreign revenue but a significant role player of the socio-economic development by creating employment opportunities, empowering women and alleviating poverty. In this regard, this paper tries to understand and analyze current situation and structure of the   both knitted and woven sectors.  After then, this paper predicts the future of both the export and export growth for the next five years. Methodology: In this study, data on the export and export growth had been collected from the BGMEA. Then the Least Square Method as a trend analysis had been applied to identify forecast export trend and the export growth trend of the both knitwear and woven sector separately. Microsoft excel program had been used for the estimation of the trend analysis alongside with providing predictions for the next five years. Results: The study found that the trend of both knitwear and woven export was upward. But the study also explored the downward trend of those two knitwear and woven sectors in terms of the growth rate. Moreover, the study showed that after the phasing out of MFA within 2004 and the withdrawal of quota protection, the knitwear export did not face any impediments accorded by the projection. Implication: This paper will be effective not for understanding the present structure of the RMG sector but helpful to take appropriate policies for the prosperity of the country, especially of this sector.  

scholarly journals Treasury Single Account and the Performance of Banking Sector: A Study of Selected Deposit Money Banks in Oyo State, Nigeria

2019 ◽  
pp. 1-8
Author(s):  
Oyedele, Oloruntoba ◽  
Oyewole, Olabode Michael ◽  
G. T. Ayo-Oyebiyi
Keyword(s):  
Economic Activity ◽  
Banking Sector ◽  
Banking System ◽  
Sampling Technique ◽  
Least Square Method ◽  
Study Data ◽  
Least Square ◽  
Ordinary Least Square ◽  
Data Collection Instrument ◽  
Structured Questionnaire

The banking sector in any country plays a fundamental role in increasing the level of economic activity. However, the implementation of treasury single account has been devilled its performance. This study therefore investigates the implication of treasury single account on the performance of Nigerian Deposit Money Banks. Quantitative analysis was used in this research, with data collected by the researchers. Five banks (Zenith Bank, First Bank Plc, UBA, Access Bank and Guaranty Trust Bank) were selected through purposive method. Judgmental sampling technique was also used to select Head of Operation, Accountant and Branch Manager from 10 branches each of the selected bank in Oyo State, Nigeria, totaling 150 respondents as a sample size for the study. Data collection instrument used was a structured questionnaire and data analysis was performed with the aid of Ordinary Least Square method of estimation. Result shows that implementation of Treasury Single Account has significant relationship with closure of branches, withdrawal syndrome from the banking system, liquidity crisis and unemployment crisis in Deposit Money Banks. Subsequently, the study recommends that banks should focus on their core banking operations rather than feeding on government idle funds kept into various accounts by Government Ministries, Departments and Agencies (MDAs). Also, banks should sensitize people on the importance of baking culture instead of them keeping their money under their pillow, inside their farms and underground.

scholarly journals PENGARUH PERTUMBUHAN EKONOMI TERHADAP KESEMPATAN KERJA DI PROVINSI SULAWESI TENGGARA

2018 ◽  
Vol 6 (2) ◽  
pp. 54
Author(s):  
Muhammad Nur Afiat
Keyword(s):  
Economic Growth ◽  
Quantitative Research ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Least Square Method ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Series Data ◽  
Employment Opportunities

This study was conducted with the aim to determine the effect of Economic Growth Rate on Employment Opportunities in Southeast Sulawesi Province 2000-2015. This research is a type of Quantitative research using secondary data in the form of time series data, ie from 2000-2015. Data source was obtained from Central Bureau of Statistics (BPS) and Bank Indonesia of Southeast Sulawesi Province. This study also uses multiple linear regression analysis tools with ordinary least square method (OLS) and then processed with application Eviews 8.0. The results of the study show that Economic Growth has a significant influence on Employment Opportunities in Southeast Sulawesi Province 2000-2015.

scholarly journals Covid-19, Remittance Inflow, and Economic Growth Rate in Nepal

2020 ◽  
pp. 69-80
Author(s):  
Arbind Chaudhary
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Least Square Method ◽  
Least Square ◽  
Economic Growth Rate ◽  
Ordinary Least Square ◽  
Domestic Literature ◽  
Gdp Growth Rate ◽  
Economic Ground

The proliferation of COVID-19 pandemic over the globe is anomalously hurting the world’s economy. The paper aims to reveal the possible loss in economic growth rate for FY 2020 due to plausible retardation in remittance/GDP size of Nepal under COVID- 19 regime by utilizing transmission approach, trend forecast, and ordinary least square method form 2000 to 2019. The study harvests two premises: first, remittance/GDP has a positive estimate to the economic growth rate and second, if the pandemic proliferates more, and if it downsizes the remittance/ GDP size by 25% to 75%, it reduces the projected GDP growth rate (6.95) up to 6.68 to 5.3% respectively for FY 2020. However, domestic literature also supports the strong role of remittance on the micro-level. Therefore, the microeconomic impact of the virus may be more appalling than the macro-economic ground.

scholarly journals Population Projection of Nepal: A Logistic Approach

2018 ◽  
Vol 1 (2) ◽  
pp. 1-8
Author(s):  
Khagendra Adhikari ◽  
Hikmat Bahadur Raya
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Growth Model ◽  
Least Square Method ◽  
Realistic Model ◽  
Population Projection ◽  
Least Square ◽  
Logistic Growth ◽  
Exponential Growth Model ◽  
Future Population

Population growth is a dynamic process which depends upon many variables which result the population projection as a very complicated task. In this article, we try to project the population of Nepal for upcoming 100 years and also project the trend of population growth for next 300 years. In this projection, we use the Logistic Growth Model, a more realistic model of population projection. Here we use the every 10 years data of census and also calculate all the intermediate year’s data by using the exponential growth model. Thus, we use all together 41 years data in our calculation. By using the least square method to fit the Logistic Model in the past population and using the MATLAB, we calculate the logistic growth rate of population of Nepal is r = 3:6955%. The carrying capacity of Nepal is K = Pmax = 4; 38; 14; 550 and the inflection year at which the population is half of the maximum population ( K/2 = 2; 19; 07; 275) of Nepal as 1999 from when the population of Nepal will start to be more stable. The population growth rate will be remarkably reduced around the 2071 and the population of Nepal will start to remain more stable from around 2100. As the area of Nepal, its natural resources and possibilities of the dynamical connectivity between the rapid economically growing neighbors, the future population of Nepal seems to be manageable.

scholarly journals Examining the Findings of Modigliani-Miller Theorem of Capital Structure and firm value Relationship at the Commercial Banking Industry of Jordan

2021 ◽  
Vol 18 ◽  
pp. 929-940
Author(s):  
Mohammed Ibrahim Sultan Obeidat
Keyword(s):  
Commercial Banks ◽  
Firm Value ◽  
Positive Impact ◽  
Stock Exchange ◽  
Market Value ◽  
Least Square Method ◽  
Study Data ◽  
Commercial Banking ◽  
Least Square ◽  
Business Environments

The study objects for investigating whether the findings of Modigliani-Miller Theorem (1958-1963), are valid in the environment of listed commercial banks at Amman Stock Exchange. To achieve the objective of the study, data of 13 out of a total of 15 listed commercial banks, covering the period (2010-019), had been collected and tested, using descriptive statistics and the ordinary least square method. The analysis of the data and hypothesis testing leads to an existence of a significant positive impact of debt on the firm market value. Opposite to Modigliani-Miller theorem, the study finds that debt is relevant to the bank market value, and it has a positive significant on bank market value. The conclusion is not in conflict with the finding of Modigliani-Miller 1958, where the authors assumed free tax, while the commercial banks of Jordan are subject to tax. Therefore, the finding of the current study are consistent with the adjusted Modigliani-Miller 1963 theory. More studies taking into consideration different industries and different business environments are strongly recommended.

scholarly journals INVESTIGATING THE DETERMINANTS OF YOUTH UNEMPLOYMENT IN PAKISTAN

2018 ◽  
Vol 01 (01) ◽  
Keyword(s):  
Foreign Direct Investment ◽  
Unemployment Rate ◽  
Direct Investment ◽  
Government Expenditure ◽  
Youth Unemployment ◽  
Least Square Method ◽  
Least Square ◽  
Microsoft Excel ◽  
Ordinary Least Square ◽  
Independent Variables

Youth unemployment is one of the major and burring issues in Pakistan. This study is examining the determinants of youth unemployment in Pakistan for the period of 1991 to 2016. In this study, the model is made of one dependent variable (unemployment) and five independent variables (Population, Foreign Direct Investment, Inflation, Wage Rate and Government Expenditure). The study employed the Ordinary Least Square Method (OLS), Fully Modified Least Squares (FMOLS) and Robust Least Square (RLS). The result shows that foreign direct investment, inflation and government expenditure have significant impact on unemployment in Pakistan during the period under the study. Though, population growth and wage do not show important association with the unemployment rate during the period under this study. In this study Microsoft Excel and E view software is used to analyze the data.

Direct Assessment of Effective Renal Plasma Flow from Renoscintigraphy with a Gamma Camera and an On-Line Computer

1981 ◽  
Vol 20 (06) ◽  
pp. 274-278
Author(s):  
J. Liniecki ◽  
J. Bialobrzeski ◽  
Ewa Mlodkowska ◽  
M. J. Surma
Keyword(s):  
Count Rate ◽  
Renal Plasma Flow ◽  
Early Period ◽  
Least Square Method ◽  
Least Square ◽  
Uptake Coefficient ◽  
Positive Linear Correlation ◽  
On Line ◽  
Best Fit ◽  
Plasma Activity

A concept of a kidney uptake coefficient (UC) of 131I-o-hippurate was developed by analogy from the corresponding kidney clearance of blood plasma in the early period after injection of the hippurate. The UC for each kidney was defined as the count-rate over its ROI at a time shorter than the peak in the renoscintigraphic curve divided by the integral of the count-rate curve over the "blood"-ROI. A procedure for normalization of both curves against each other was also developed. The total kidney clearance of the hippurate was determined from the function of plasma activity concentration vs. time after a single injection; the determinations were made at 5, 10, 15, 20, 30, 45, 60, 75 and 90 min after intravenous administration of 131I-o-hippurate and the best-fit curve was obtained by means of the least-square method. When the UC was related to the absolute value of the clearance a positive linear correlation was found (r = 0.922, ρ > 0.99). Using this regression equation the clearance could be estimated in reverse from the uptake coefficient calculated solely on the basis of the renoscintigraphic curves without blood sampling. The errors of the estimate are compatible with the requirement of a fast appraisal of renal function for purposes of clinical diagknosis.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

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