scholarly journals Effect of Neighbourhood Characteristics on Resident's Satisfaction in Doya Area of Bauchi Metropolis

2021 ◽  
Vol 7 (4) ◽  
pp. 6001
Author(s):  
Hadiza AbdulKadir Musa ◽  
Muhammad Umar Bello ◽  
Sakariyau Jamiu Kayode
Keyword(s):  
Linear Regression ◽  
Household Head ◽  
Simple Random Sampling ◽  
Linear Regression Method ◽  
Water Drainage ◽  
Economic Activities ◽  
Factors Affecting ◽  
Neighbourhood Characteristics ◽  
The Government ◽  
Social Amenities

This study determines the effect of neighbourhood characteristics on residents’ satisfaction in Doya area of Bauchi metropolis to reveal the significant relationship of the effect. Field data were gathered using a structured, close-ended questionnaire containing 5 Likert scales administered to the household head of Doya area of Bauchi metropolis using simple random sampling. A total number of one hundred and twenty-five (125) valid questionnaires were used for the analysis. The data were analyzed using descriptive statistics (Mean score and frequency table) and linear regression method through SPSS. The study found that electricity, water, drainage, availability of schools, availability of hospital, economic activities, neighbourhood security, sanitary services, recreational facilities and accessibility are factors affecting resident’s satisfaction. It further found that satisfaction with proximity to work, water, and educational facilities were striking the highest mean score. Finally linear regression model reveals that neighbourhood condition significantly affects resident’s satisfaction. The study suggests a need for the government to provide more social amenities in the study area. Proper routine management of social amenities should be done to enhance the resident’s satisfaction in the study area.

The Role of Female’s Participation in Economic Activity to Household Income The Case of Mizan Aman Town, South Nation Nationality And People’s Region, Ethiopia

2021 ◽  
Author(s):  
Kemal Omer Ahmed
Keyword(s):  
Household Income ◽  
Simple Random Sampling ◽  
Linear Regression Method ◽  
Economic Activities ◽  
Factors Affecting ◽  
Household Decision ◽  
Secondary Sources ◽  
Women's Participation ◽  
Descriptive Method

Abstract The main aim of the study was to examine the role of females' economic participation in household income. To achieve this objective both primary and secondary sources of data were collected from 400 sample size using simple random sampling method. The obtained data were first analyzed using a descriptive method to describe socio-economic characteristics of women in the study area. Secondly, to identify determinants of women’s participation in economic activities and household decision-making process logit model was employed and finally, multiple linear regression method was applied to identify factors affecting the level of women's contribution to household income. The result shows that female participation in economic activities positively determines by women's training and woman’s education level and is negatively affected by the presence of children under five years of age. The contribution of women to household income on average was estimated birr 32,400.50 per annum which was nearly 36.8percent of the overall household income. The possible recommendation is government and other respective bodies must encourage women to learn more and more.

scholarly journals Factors Affecting the Socio-Economic Status of Households in Southern Punjab

2020 ◽  
Vol 3 (2) ◽  
pp. 315-331
Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry ◽  
Fatima Farooq
Keyword(s):  
Economic Development ◽  
Economic Status ◽  
Household Head ◽  
External Shocks ◽  
Factors Affecting ◽  
Poor Countries ◽  
Socio Economic Status ◽  
Level Data ◽  
Physical Assets ◽  
The Government

The Households having low socio-economic status possess less resource in term of wealth and income to resist against any kind of external shocks. Apart from heath shocks (physical and mental disabilities) there are numerous other factors that force them to follow subsistence life style having low per capita income. A primary level data has been collected to examine the socio economic status of households in Southern Punjab for the year 2019.The findings show that household size, occupation, dependency ratio, mental disability and physical disability are negatively affecting economic development across the region. However, age, education of the household head, own house, spouse ‘s participation, remittances, number of earners in the household and value of physical assets are increasing economic development in Southern Punjab. Developing strategies, adequate planning and their timely implementation is very crucial for the government to pursue the process of economic growth and development of the poor countries like Pakistan.

scholarly journals Factors Affecting Poverty on the Island of Sumatera

2021 ◽  
Vol 04 (12) ◽  
Author(s):  
Patria Nagara ◽  
Keyword(s):  
Income Distribution ◽  
Ordinary Least Squares ◽  
Multiple Regression Equation ◽  
Development Programs ◽  
Economic Activities ◽  
Poverty Level ◽  
Factors Affecting ◽  
Poverty And Inequality ◽  
Independent Variable ◽  
The Government

Poverty is a problem faced by many developing countries in general. Poverty is a reflection of the economic activities carried out by a country. The poverty level of a country shows that the development programs implemented by the government are not optimal. This study was conducted to analyze the determinants of poverty in 10 provinces on the island of Sumatra from 2006-2019. Multiple regression equation models were built for this research using the Ordinary Least Squares (OLS) method with the e-views 8 tool. The results show that simultaneously, the independent variable has a significant effect on poverty and partially one variable that does not significantly affect poverty, namely unemployment. An increase in education (literacy rate) and infrastructure (road length) leads to an increase in poverty and inequality in income distribution (the Gini Index), resulting in a decrease in poverty. It is hoped that future researchers will use education, infrastructure, and income distribution variables with different proxies.

scholarly journals ANALYSIS OF FACTORS AFFECTING THE PRICE FLUCTUATION OF CAYENNE PEPPER IN MALANG REGENCY

2021 ◽  
Vol 5 (1) ◽  
pp. 19-26
Author(s):  
Nurul Laili ◽  
Sri Hindarti ◽  
Dwi Susilowati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Commodity Prices ◽  
Secondary Data ◽  
Regression Method ◽  
Linear Regression Method ◽  
Factors Affecting ◽  
Independent Variables ◽  
Multiple Linear Regression Method

 This study aims to 1) Analyze the pattern of changes in commodity prices for spanish pepper in Malang District. 2) Analyzing the factors that influence fluctuations in the price of spanish pepper in Malang District. The research method used is quantitative method that uses secondary data in the form of time series obtained from several related agencies, namely the Central Statistics Agency of Malang District, Department of Industry and Trade, and Department of food crops, horticulture, and plantation in Malang District. Analysis of the data used is multiple linear regression with the dependent variable is the price at the consumer level from 2009-2018, while the independent variables use the data of the price of spanish pepper at the producer level, the amount of production, and the amount of consumption from 2009-2018. The study found that: 1) The development of the price of spanish pepper had a trend that tended to increase during the last 10 years. 2) From the results of data processing using multiple linear regression method with Eviews 9.0 application, it is found that the factor that significantly influences changes in the price of spanish pepper is the price at the producer level, while the amount of production of spanish pepper and the number of requests does not significantly affect the change in spanish pepper prices in Malang District. 

scholarly journals Determinants of Off-farm Employment Participation of Women in Rural Uganda

2019 ◽  
pp. 28-41
Author(s):  
Fang Cheng ◽  
Haisen Zhang ◽  
Nobeji S. Boniphace
Keyword(s):  
Gender Gap ◽  
Rural Areas ◽  
Poverty Reduction ◽  
Agricultural Sector ◽  
Sample Selection ◽  
Household Head ◽  
Rural Poverty ◽  
Economic Activities ◽  
Second Stage ◽  
The Government

Off-farm employment in rural areas can be a major contributor to rural poverty reduction and decent rural employment. While women are highly active in the agricultural sector, they are less active than men in off-farm employment. This study analyzes the determinants of participation in off-farm employment of women in rural Uganda. The study is based on a field survey conducted in nine districts with the sample size of 1200 individual females. A two-stage Hechman’s sample selection model was applied to capture women’s decision to participate and the level of participation in non-farm economic activities. Summary statistics of the survey data from rural Uganda shows that: i) poverty and non-farm employment has a strong correlation, implying the importance of non-farm employment as a means for poverty reduction; and ii) there is a large gender gap to access non-farm employment, but the gender gap has been significantly reduced from group of older age to younger generation. The econometric results finds that the following factors have a significant influence on women’s participation in off-farm employment: education level of both the individual and household head (positive in both stages); women’s age (negative in both stages); female-headed household (negative in first stage); household head of polygamous marriage (negative in both stages); distance from major town (negative in the first stage); household size (positive in the second stage); dependency ratio (negative in the second stage); access to and use of government extension services (positive in the first stage); access to and use of an agricultural loan (negative in the second stage); and various district dummies variables. The implications of these findings suggest that those policies aimed at enhancing the identified determinants of women off-farm employment can promote income-generating opportunities for women groups in comparable contexts. In order to capitalize on these positive linkages, policies should be designed to improve skills and knowledge by providing education opportunities and increasing access to employment training, assistance services and loans for non-farm activities and by targeting women in female-headed, large and distant households. The government should increase investments in public infrastructure and services, such as roads, telecommunications and emergency support.

scholarly journals A Forecast Model of Agricultural and Livestock Products Price

2010 ◽  
Vol 20-23 ◽  
pp. 1109-1114 ◽  
Author(s):  
Wen Sheng Zhang ◽  
Hong Fu Chen ◽  
Ming Sheng Wang
Keyword(s):  
Consumer Price Index ◽  
Simulated Data ◽  
Warning System ◽  
Forecast Model ◽  
Future Price ◽  
Linear Regression Method ◽  
Price Fluctuation ◽  
Factors Affecting ◽  
The Government ◽  
Livestock Products

The frequent and excessive fluctuation of agricultural and livestock products price is not only harmful to residents’ living, but also affects CPI (Consumer Price Index) values, and even leads to social crisis, which influences social stability. Therefore it is important to forecast the price of agriculture and livestock products. As a result, we made a research on the factors affecting agricultural and livestock products price, established a forecasted model of agricultural and livestock products price, and developed its early-warning system which is suitable to China. Considering the direct relationship between the price and the output, multiple linear regression method was adopted to study this problem. The model is composed of three sub-models. This paper puts forward the concept of price equilibrium coefficient C0, which describes the degree to which people accepting the forecasted price. With the establishment of the standard for the influence of price fluctuation, the influence of price fluctuation is measured. Each range of the C0 value corresponds with a specific result, which may informs the government with the danger of price fluctuation. As a result, the model can early-warn the price rising caused by crop reduction due to sudden natural disaster, which may induce social turmoil and crisis. If the forecasted price rises heavily, the government should take measures to avoid crisis. This paper offers the method to control future price. Finally, a forecasted model of pork price is calculated with simulated data. The forecasted result is in good agreement with actual situation.

scholarly journals Factors affecting members’ participation in primary Dairy cooperatives in North Gondar zone of Amhara Region, Ethiopia

2018 ◽  
Vol 6 (04) ◽  
Author(s):  
Dr.Kavitha Nachimuthu ◽  
Beyene Derso
Keyword(s):  
Secondary Data ◽  
Binary Logistic Regression ◽  
Simple Random Sampling ◽  
Raw Milk ◽  
Regression Result ◽  
Continuous Variables ◽  
Economic Activities ◽  
Factors Affecting ◽  
Dairy Cooperatives ◽  
North Gondar Zone

Dairy co-operatives can improve access to market information, reduce costs and price risks of marketing and can increase producers’ access to technology, extension and related services and enhance bargaining power of dairy producers. The overall objective of the society is to alleviate members’ milk marketing problem and increase their income generated from the milk and milk by products.. So, this paper will find out the solution for those problems. The major objective of this study is to identify factors affecting members Participation in primary cooperatives in north Gondar zone. North Gondar Administrative Zone and in the zone 8 districts and 11 primary dairy cooperatives were selected purposively and 114 sample respondents were selected by using simple random sampling methods. Both qualitative and quantitative data as well as primary and secondary data were used in the study.. The result of the study indicated that except access to transport, feed availability and proximity all discrete and continuous variables had a significant association with members’ participation of the dairy cooperatives. The binary logistic regression result of members’ participation also shows that from the hypothesized thirteen independent variables only six variables were found to be significantly influenced members’ participation of primary dairy cooperatives. As a recommendation, the concerned bodies, members and dairy cooperatives should give emphasis on factors like transport access, number of milking cows, price of raw milk, training access, patronage dividend and access of credit to increase members’ participation in GA meeting, decision making, election and economic activities of dairy cooperatives.

scholarly journals Factors Affecting the Income of Rural Women: An Evidence from District Faisalabad, Pakistan

2020 ◽  
Vol 2 (3) ◽  
pp. 80-85
Author(s):  
Rubina Akhtar ◽  
Muhammad Amjed Iqbal ◽  
Allah Bakhsh
Keyword(s):  
Rural Women ◽  
Rural Areas ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Total Sample ◽  
Factors Affecting ◽  
The Government ◽  
One Year ◽  
The Impact

The fundamental point of the investigation was to assess the effect of various components on the pay of rural women in the region Faisalabad. For this, a stratified sampling procedure was utilized. At the first stage, the Faisalabad district was chosen purposively. In the second stage, five regions of each class were chosen through a simple random sampling technique. The total sample size was comprised of 150 respondents. A pre-tested questionnaire was used to gather the information from chosen respondents through the personal interview technique. Descriptive Statistics were used to explore the socio-economic characteristics of rural women. Multiple linear regression analysis was used to estimate the impact of different factors affecting the income of rural women. According to the estimated results, the age of the respondents has a positive and highly significant impact. This indicates that one year increase in the age of women would increase her income by 0.314 units. The estimated result of education described that for every one year in an increase in schooling year of women will increase the income by 0.191 unit. The variable of family sizes of the respondents has a significant and positive effect on the respondent’s income. Working hours of the respondents have a positive and significant effect on respondent’s income. The satisfaction of the respondents has a positive and significant effect on the respondent’s income. Female participation in the market increases with the growing levels of higher education. It is recommended that the government should provide education to the females especially in rural areas.

scholarly journals CRITICAL FACTORS AFFECTING THE UTILIZATION OF CLOUD COMPUTING

2014 ◽  
Vol 2 ◽  
pp. 331-336 ◽  
Author(s):  
Alberto Daniel Salinas Montemayor ◽  
Jesús Fabián López ◽  
Jesús Cruz Álvarez
Keyword(s):  
Cloud Computing ◽  
Standard Deviation ◽  
Linear Regression ◽  
Information Service ◽  
Measurement Instrument ◽  
Regression Method ◽  
Measuring Instruments ◽  
Linear Regression Method ◽  
Critical Factors ◽  
Factors Affecting

This research presets the critical factors that influence the use of cloud computing, in case studies of large and medium-sized enterprises in the metropolitan area of Monterrey.  The critical factors are found, according to literature: dependency provider; ignorance of the location, where the information, service knowledge, knowledge of laws, service offered by suppliers, is stored; cost; and information security, describing the research and development, which are significant and demonstrative in its impact.We used Cronbach's alpha to check the validity of the measurement instrument and used a linear regression method to measure the significance of the variables.  We also relied on some measuring instruments, such as Beta, R-squared, Standard Deviation, Anova, Tolerance, and Collinearity index to propose a model.

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