scholarly journals Factors Affecting Profitability of Smallholder Vegetable Farmers in the Shiselweni Region, Kingdom of Eswatini (Swaziland)

2019 ◽  
Vol 8 (1) ◽  
pp. 104 ◽  
Author(s):  
Lovemore M. Rugube ◽  
Sifisile P. Nsibande ◽  
Michael T. Masarirambi ◽  
Patricia J. Musi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Negative Relationship ◽  
Household Size ◽  
Farm Size ◽  
Primary Data ◽  
Factors Affecting ◽  
Vegetable Farmers ◽  
The Mean

Agriculture is the main anchor of the Eswatini economy and profitability in this sector still remains vital for sustainable development of the economy. This study investigated the factors affecting profitability of smallholder vegetable farmers in the Shiselweni region. Primary data was obtained using a structured questionnaire and personal interviews from 60 vegetable farmers. Data was analyzed using descriptive statistics, enterprise budget, profitability ratios and multiple linear regression models. The SPSS software was used. The results showed that the mean age of the vegetable farmers was found to be 50.5 years, the mean household size was 8 people, mean farming experience was 3 years, mean farm size was 3 hectares and the majority of the farmers had high school education. The net income of smallholder vegetable farmers was E5810.30. The results of the multiple linear regression analysis revealed that land size, gender, household size, had a direct relationship with profitability of vegetable production while age, education, experience, income and labour had a negative relationship. Farmers requested that the subsidized farm inputs should arrive on time, new engines be bought for them and dams be constructed to generate irrigation water in winter.

An Empirical Study of Investor Attitudinal Factors Influencing Herd Behavior: Evidence from Pakistan Stock Exchange

2019 ◽  
Vol 12 (1) ◽  
pp. 1-11
Author(s):  
Faid Gul ◽  
Karamat Khan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Psychological Factors ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Primary Data ◽  
Herd Behavior ◽  
Individual Investor ◽  
Decision Accuracy ◽  
Attitudinal Factors

Behavioral Finance is an evolving field that studies how psychological factors affect decision making under uncertainty. Herding behavior is one of the psychological factors that instigate investor to mimic the actions of other investors in the market rather than using his personal assessments. This study seeks to find the influence of certain attitudinal factors namely, decision conformity, hasty decision, mood, decision accuracy, and overconfidence, on the individual investor tendency to embrace herd behavior. Primary data for the study are collected using structured questionnaires from a sample of 194 investors who are trading at Islamabad and Lahore branches of Pakistan Stock Exchange. Multiple linear regression analysis is used to test the hypotheses of this study. Findings of this study provide evidence that attitudinal factors have a significant influence on investor’s tendency to take on herd behavior. It is concluded from the results of multiple linear regression that decision conformity, mood, and decision accuracy have a significant impact on individual investor tendency to adopt herd behavior. However, investor hasty decision and overconfidence is insignificant predictors of herd behavior. Keywords: Decision conformity, Hasty decision, Mood, Decision accuracy, Overconfidence, Herd behavior

PENGARUH LOKASI, KUALITAS PRODUK TABUNGAN, KUALITAS PELAYANAN TERHADAP KEPUASAN NASABAH DALAM MENABUNG DI BMT ADZKIYAH KHIDMATUL UMMAH DI KOTA METRO

2019 ◽  
Vol 3 (2) ◽  
pp. 439
Author(s):  
Suwarto Suwarto ◽  
Risa Anggraini
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Requirements Analysis ◽  
Primary Data ◽  
Homogeneity Test ◽  
Linearity Test

This research is motivated by customer satisfaction which is a customer action to save. The purpose of this study was to determine the ef ect of location, quality of savings products, service quality on customer satisfaction. In this study using primary data collected by explanatory research methods and sample collection techniques in the form of accidental sampling of BMT customers Adzkiyah Khidmatul Ummah using a questionnaire with a likert skla in BMT Adzkiyah Khidmatul Ummah in Metro City. Testing the instrument requirements used include validity, reliability testing. Requirements analysis using normality test, linearity test, homogeneity test. And analysis tools using multiple linear regression with partial test (t test), simultaneous test (f test), coef icient of determination test (R2). As testing requirements analysis and hypothesis testing. Based on the results of research using multiple linear regression analysis obtained location influences customer satisfaction, the quality of savings products does not af ect customer satisfaction, and service quality influences customer satisfaction.

scholarly journals Factors Affecting Company's Capability in Performing Integrated Reporting: An Empirical Evidence From Indonesian Companies

2018 ◽  
Vol 7 (2) ◽  
pp. 141
Author(s):  
Putu Sukma Kurniawan ◽  
Made Arie Wahyuni
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Institutional Ownership ◽  
Multiple Linear Regression Analysis ◽  
Managerial Ownership ◽  
Contrast Level ◽  
Integrated Reporting ◽  
Factors Affecting

<p>This study examines the factors that affect the company's capability to perform integrated reporting. The analysis used in testing the hypothesis is multiple linear regression analysis. Results show that company’s size has positive and significant connection and stakeholder’s pressure has negative and significant connection with the company’s capability in performing integrated reporting. In contrast, level of company’s profitability, company’s managerial ownership, and company’s institutional ownership did not have enough connection with company’s capability in performing integrated reporting.</p><p> </p>

scholarly journals Production Analysis of Green Mussel (Perna viridis) in Lampung Province

2020 ◽  
Vol 8 (2) ◽  
pp. 975
Author(s):  
Sulvina Sulvina ◽  
Zainal Abidin ◽  
Supono Supono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Influential Factors ◽  
Perna Viridis ◽  
Factors Affecting ◽  
Cultivation Process ◽  
Quantitative Descriptive

This study was conducted to find out factors affecting and level of mussel production, level of efficiency of using the tools and materials in cultivation process and whether the cultivation of mussels in Pasaran. This study was analyzed using Cobb-Douglass. The study were analyzed in quantitative descriptive, multiple linear regression analysis, and analysis of efficiency. The dependent variable (Y) is the result of production of green mussels cultivation and free variables are the number of bamboos (X 1), the amount of strap (X2), grouper (X3) and labor (X4). Mussel fisherman in Pasaran NPM with Px calculated to obtain the level of efficiency of each factors of production in messels cultivation. Studies show that the most influential factors production are variable bamboo, rope and labor. While the results of analysis the level of efficiency of using tools and materials is not efficient. The number of bamboo and labor should be reduced, because it tends to be a waste and not profitable either technically or economically. The value of the return to scale of 1.22 showed cultivation mussels are on increasing return to scale.

scholarly journals THE EFFECT OF SERVICE QUALITY OF ELECTRONIC TAXING SYSTEM AND TAX EMPLOYEE COMPETENCE ON TAXPAYER SATISFACTION

2019 ◽  
Vol 7 (2) ◽  
pp. 87-100
Author(s):  
Tri Wulanjayanti ◽  
Darman Usman
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Positive Effect

This study aims to test the effect of service quality of electronic taxing system and tax employee competence on taxpayer satisfaction. The variables on this study was measured by using questionnaire. The sample of this study is personal Taxpayer who is running business activities and is registered at the Primary Tax Office of Bengkulu. The data used in this study is primary data. The hypothesis of the study is tested by using Multiple Linear Regression Analysis with the assistance of SPSS. The result of this study revealed that the service quality of electronic taxing system and tax employee competence had positive effect on the taxpayer satisfaction.Key Words: Service Quality of Electronic Taxing System, Tax Employee Competence, and Taxpayer Satisfaction.

scholarly journals PENGARUH IPM, PDRB DAN JUMLAH PENGANGGURAN TERHADAP PENDUDUK MISKIN DI PROVINSI JAMBI

2017 ◽  
Vol 1 (1) ◽  
pp. 113 ◽  
Author(s):  
M Alhudhori
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Positive Relationship ◽  
Central Government ◽  
Linear Regression Analysis ◽  
Negative Relationship ◽  
Multiple Linear Regression Analysis ◽  
The Poor ◽  
Poor Population

In fact the construction economy is rangkayan activity by exploiting the whole potential of the basic capital as epektif and efficiently through perancanaan kesejahtraanin order to improve society. The fulfillment of the basic needs of the society especially health, education, food and nutrition is something very fundamental in the context of the development of community welfare (welfare), human development (humandevelopment) and reduction of poverty (poverty reduction). Strategic issues in the governance of the Jambi province are not much different from the Central Government (the problem), namely the still high number of poverty. Based on multiple linear regression analysis of the HDI have a positive relationship towards the poor population where if the HDI rose 1 percent then the number of poor population will rise of0.358. Based on multiple linear regression analysis of the GDP had a negative relationship toward the poor population, which if GDP rises 1 percent then the number ofpoor population will be down by-0.006. Multiple linear regression analysis based onthe number of unemployment has positive relationship towards the poor population where if the number of unemployed rose 1 percent then the number of poor population will rose by 0.010.Keyword: influence of IPM, PDRB and the number of unemployed

scholarly journals Determinants of Household Income Incase of Dera District, Oromia Regional State, Ethiopia

2021 ◽  
Author(s):  
Dereje Gebeyehu Ababu ◽  
Tadesse Ayele Belachew ◽  
Abate Tadesse Zeleke
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Household Income ◽  
Household Head ◽  
Multiple Linear Regression Model ◽  
Least Square ◽  
Farm Size ◽  
Primary Data ◽  
Secondary Source ◽  
Regional State

Background: Agriculture plays a key role in economic growth, as a source of raw materials, means of income generation, food security, poverty alleviation and employment to the rural population in both developed and developing countries. This study was aimed to investigate the determinants of household income incase of Dera district, Oromia Regional State, Ethiopia. Methods: The study was conducted in Dera district from September 2020 to May 2021 at Salale University, Ethiopia. Both primary and secondary source of data were used to obtain the data. Primary data was collected from the selected sample of 234 household heads using structured questionnaire. Multistage random sampling technique was used to select representative sample from Dera district. Both Descriptive statistics (frequency, percentage, mean, variance, etc.) and Econometrics model (multiple linear regression model) were used to achieve the objectives of the study and to analysis the data. Result: Using multiple linear regression of two stage least square, household income was significantly affected by place of residence, women household head, women year of education, farm size, access to credit, tropical livestock Unit and women time use at 5% significance level.

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