scholarly journals Rice Marketing as a Means of Poverty Alleviation in Niger State, Nigeria

2014 ◽  
Vol 47 (4) ◽  
pp. 137-141
Author(s):  
Eniola Oluwatoyin Olorunsanya ◽  
Josephine Utsunu Ugbong
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Logistic Regression Model ◽  
Educational Status ◽  
Household Size ◽  
Descriptive Statistics ◽  
Poverty Measures ◽  
And Gender

Abstract This study examined rice marketing as a means of poverty alleviation in Niger State, North Central Nigeria. Ninety-eight representative rice marketers’ households were used for the study. Descriptive statistics, Foster, Greer and Thorbecke poverty measures as well as logistic regression model were used as the analytical tools for the study. The result of the descriptive statistics shows that forty-nine percent of the rice marketers have no western education and majority of the rice marketers’ households used open spaces for defecation. The result of the poverty profile shows that all the representative households were poor using 1.25 dollar a day poverty benchmark and only 32 percent were poor using the estimated relative poverty benchmark of N 1,894.2 per capita. The result of the logistic regression model shows the following factors influenced the poverty status of the rice marketers’ households in the study area. These are age and gender of the rice marketers, household size, other sources of income, marital status of the rice marketers and their educational status. The study recommends manageable household size as well as improved level of education for members of the rice marketers’ households for poverty reduction in the study area.

scholarly journals The Impact of International Remittances on Poverty Alleviation in Bangladesh

2019 ◽  
Vol 4 (1) ◽  
pp. 67-86 ◽  
Author(s):  
Bezon Kumar
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Poverty Alleviation ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Binary Logistic Regression Model ◽  
Household Poverty ◽  
International Remittances ◽  
The Impact

This article mainly explores to what extent international remittances alleviate household poverty in Bangladesh. This study uses primary data collected from 216 households and employs multi-methods. Firstly, I measure the level of household poverty through Foster-Greer-Thorbecke index. The article secondly focuses on the impact of remittances on household poverty using a binary logistic regression model. I found that the level of poverty among remittance recipient households is notably lower than households that are not receiving remittances. Similarly, the probability of a household being poor is alleviated by 28.07 per cent if the household receives remittance. It can be suggested that nursing international remittances can be useful for poverty alleviation in Bangladesh. 

Missing Posterior Teeth and Risk of Temporomandibular Disorders

2009 ◽  
Vol 88 (10) ◽  
pp. 942-945 ◽  
Author(s):  
M.Q. Wang ◽  
F. Xue ◽  
J.J. He ◽  
J.H. Chen ◽  
C.S. Chen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Young Women ◽  
Temporomandibular Disorders ◽  
Logistic Model ◽  
Logistic Regression Model ◽  
Age And Gender ◽  
Posterior Teeth ◽  
Men 1 ◽  
And Gender

There is disagreement about the association between missing posterior teeth and the presence of temporomandibular disorders (TMD). Here, the purpose was to investigate whether the number of missing posterior teeth, their distribution, age, and gender are associated with TMD. Seven hundred and forty-one individuals, aged 21–60 years, with missing posterior teeth, 386 with and 355 without TMD, were included. Four variables—gender, age, the number of missing posterior teeth, and the number of dental quadrants with missing posterior teeth—were analyzed with a logistic regression model. All four variables—gender (OR = 1.59, men = 1, women = 2), age (OR = 0.98), the number of missing posterior teeth (OR = 0.51), and the number of dental quadrants with missing posterior teeth (OR = 7.71)—were entered into the logistic model (P < 0.01). The results indicate that individuals who lose posterior teeth, with fewer missing posterior teeth but in more quadrants, have a higher prevalence of TMD, especially young women.

Civic Engagement on Voters Turnout in General Election

2019 ◽  
Vol 6 (4) ◽  
pp. 15-28
Author(s):  
Robert Wankanya Kisusu ◽  
Samsosn T. Tongori
Keyword(s):  
Logistic Regression ◽  
Civic Engagement ◽  
Regression Model ◽  
Voter Turnout ◽  
Logistic Regression Model ◽  
General Election ◽  
Descriptive Statistics ◽  
Primary Data ◽  
Democratic System ◽  
Gender System

The concern of voter turnout during general election is a serious problem. As such, the study found that civic engagement influences significantly voter turnout during general election in Tanzania. The findings based on primary data and descriptive statistics and a logistic regression model identified how civic engagement influences maximum voters turnout. These include putting names of voters before election day, authority to enforce law protecting voters, communities to know the importance of voting, Further, logistic regression model also deepens the finding that civic engagement influences voters turnout by establishing gender system on voting and emphasis youth's registration before election and .to encourage voters so that they know importance of voting. Conclusion is that voter turnout requires well organised and arranged packages of civic engagement. Recommendation is to emphasis on civic engagement as it explores voters' interest specifically democratic system and transparency.

scholarly journals Influence of Socio-Economic Conditions of Farmers on the Control of Insect Pests of Citrus in Benue State, Nigeria

2016 ◽  
Vol 8 (2) ◽  
pp. 84
Author(s):  
T. A. K. Anzaku ◽  
D. A. Anda ◽  
I. B. Umar
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Insect Pests ◽  
Descriptive Statistics ◽  
Economic Conditions ◽  
Citrus Fruits ◽  
High Quality ◽  
Citrus Production ◽  
Socio Economic Variables

<p>Despite the significant losses of citrus fruits due to insect pests damage, not all farmers control the menace of these pests. Control of these pests is inevitable for high quality, sustained and increased production of the product and income for the farmers. It is, therefore, imperative in the study to empirically establish the socio-economic variables of citrus farmers influencing the control of citrus insect pests. To achieve this, data collected from a random sample of 50 commercial citrus farmers from the major producing areas of Benue State in 2014, through the use of questionnaire, were analyzed by employing descriptive statistics and logistic regression model. With the exception of age with a coefficient of -.035, which influenced the control of insect pests negatively, the influence of other variables such as education (.362), experience (.159), gender (.992), income from citrus (.002) and income from other enterprises (.001) were positive, although only education and income earned from citrus were significant at 10% and 1% level of probability, respectively. Control of insect pests of citrus can be better achieved by potential and existing farmers if their education and earning from citrus production are continually and simultaneously increased.</p>

scholarly journals Evaluation of probability of linkages between enterprises and farmer's potatoes in Lam Dong province

2019 ◽  
Vol 18 (01) ◽  
pp. 1-8
Author(s):  
Nam H. Tran
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Multinomial Logistic Regression ◽  
Potato Production ◽  
Farm Size ◽  
Multinomial Logistic Regression Model ◽  
Factors Affecting ◽  
And Gender

In this study, the collaboration between buyer and the famers in potato production was evaluated by using a multinomial Logistic regression model with MLE estimating. The data were collected by directly interviewing of 245 farmers at the Xuan Tho commune, Da Lat city and Don Duong district, Lam Dong province. Results of the research showed that a tight collaboration between the companies and farmers would increase in a higher productivity. The estimation showed that the probability of farmer which would and would not collaborate with buyer were 14.6% (Y2/Y1) and 63.0% (Y3/Y1). The factors affecting the probability of linkages between enterprises and farmers were enterprises and farmers were experience, farm, size, profit, policy supports and gender. The results also revealed that when price of potatoes increase, farmers would not comply with agreement.

scholarly journals Study of Factors Affecting the Entrepreneurship Behavior of Returned Migrants Using Binary Logistic Regression Model

2019 ◽  
Vol 3 ◽  
pp. 57-68
Author(s):  
Madhav Kumar Bhusal ◽  
Hari Prasad Pandey
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Home Country ◽  
Household Head ◽  
Binary Logistic Regression ◽  
Educational Status ◽  
Categorical Variables ◽  
Binary Logistic Regression Model ◽  
Factors Influencing

Background: Entrepreneurship or business ownership is a significant source of employment and economic growth. Many studies conducted by different researchers have shown that increase in entrepreneurial activities helps to reduce unemployment. Thousands of Nepalese youths exodus for foreign migration every year for employments due to lack of adequate working environment in Nepal. In this context, identification of significant factors influencing the entrepreneurship behavior of returned migrants could be useful for planner, decision makers, and other concerned authorities. Objective: To explore the entrepreneurship status of returned migrants and to ascertain the factors influencing the entrepreneurship behavior of returned migrants. Materials and Methods: This study was based on primary data of 393 returned migrants collected through convenience sampling in Sarawal Rural Municipality of Parasi district, Nepal. People who stayed abroad at least one year and returned during 2010 to 2017 were included in the study. On the basis of Industrial Enterprise Act, 2016a, Nepal, a person who has invested Nepalese rupees five lakh or more in business besides housing and land is considered as an entrepreneur. The response variable is entrepreneurship status and it is defined according to the aforementioned act. Both quantitative and categorical variables were used as predictor variables. Factors associated with entrepreneurship behavior were extracted using Chi-square test and binary logistic regression model. Results: Out of sample of 393 returned migrants, 137 (34.9%) were entrepreneur and rest 256 (65.1%) were non-entrepreneur. Results showed that for main occupation of household head odds ratio (OR) = 4.008 & confidence interval (CI) = 2.396 to 6.703. Similarly, for educational status of returned migrants OR = 2.650 & CI = 1.599 to 4.392. For the covariate skills learnt at abroad OR = 2.750 & CI = 1.654 to 4.573. Conclusion: The study revealed that majority of returned migrants were non-entrepreneur. The factors ‘main occupation of household head’, ‘educational status of returned migrant’, ‘remittance received at home per year’ and ‘skills learnt abroad’ are the major determinants behind the entrepreneurship behavior of returned migrants. It is suggested that higher education and adequate skills should be taken before departing from home country so that the migrants can earn more money which will help to start their own businesses once they get back to their home country.

Civic Engagement on Voters Turnout in General Election

2022 ◽  
pp. 1111-1124
Author(s):  
Robert Wankanya Kisusu ◽  
Samsosn T. Tongori
Keyword(s):  
Logistic Regression ◽  
Civic Engagement ◽  
Regression Model ◽  
Voter Turnout ◽  
Logistic Regression Model ◽  
General Election ◽  
Descriptive Statistics ◽  
Primary Data ◽  
Democratic System ◽  
Gender System

The concern of voter turnout during general election is a serious problem. As such, the study found that civic engagement influences significantly voter turnout during general election in Tanzania. The findings based on primary data and descriptive statistics and a logistic regression model identified how civic engagement influences maximum voters turnout. These include putting names of voters before election day, authority to enforce law protecting voters, communities to know the importance of voting, Further, logistic regression model also deepens the finding that civic engagement influences voters turnout by establishing gender system on voting and emphasis youth's registration before election and .to encourage voters so that they know importance of voting. Conclusion is that voter turnout requires well organised and arranged packages of civic engagement. Recommendation is to emphasis on civic engagement as it explores voters' interest specifically democratic system and transparency.

scholarly journals Association between Obesity and Asthma in Preschool Mexican Children

2010 ◽  
Vol 10 ◽  
pp. 1339-1346 ◽  
Author(s):  
Francisco Vázquez-Nava ◽  
Jaime Morales Romero ◽  
Arturo Córdova-Fernandez ◽  
Atenógenes H. Saldívar-González ◽  
Carlos F. Vázquez-Rodríguez ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Preschool Children ◽  
Regression Model ◽  
Logistic Regression Model ◽  
International Study ◽  
Normal Weight ◽  
The Body ◽  
Mexican Children ◽  
Prevalence Of Obesity ◽  
And Gender

The elevated prevalence of obesity as well as of asthma in preschool children has prompted investigators to speculate that obesity in childhood might be a causal factor in the development of asthma. The results obtained to date are debatable. We investigated the association between obesity and asthma in 1,160 preschool Mexican children. Diagnosis of asthma was performed using the International Study of Asthma and Allergy in Childhood (ISAAC) questionnaire. The body mass index (BMI) in units of kg/m2was determined, and children were categorized according to age- and gender-specific criteria, such as normal weight (5th-85thpercentile), overweight (ࣙ85thand <95thpercentile), and obesity (ࣙ95thpercentile). Power test for logistic regression model was calculated. We found no association between overweight (adjusted OR = 1.02; 95% CI = 0.66–1.58), obesity (adjusted OR = 0.94; 95% CI = 0.68–1.30), and wheezing during the last year as determined by logistic regression model adjusted. We did not find an association between overweight, obesity, and asthma-associated hospitalizations. Further longitudinal studies are required to provide a better understanding of the relationship between obesity and asthma in preschool children.

scholarly journals Factors Influencing Household Adoption of Solar Home System in Baso Liben District, Amhara Regional State of Ethiopia

2020 ◽  
Author(s):  
Asmare Mossie Zeru ◽  
Dawit Diriba Guta
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Information Access ◽  
Educational Status ◽  
Farm Income ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Solar Home System

Abstract Background: Although, solar energy is abundant, accessible, affordable, and ecologically and environmentally friendly, in rural Ethiopia the majority of households are still using pollutant kerosene for lightning. It is important to understand demand and supply-side factors affecting the adoption of the technology. For this purpose, this study investigates the factors influencing household adoption of solar home system (SHS). Methodology: The data used for the econometric model was collected from randomly selected 228 adopters and 143 non-adopter households in Baso Liben district, Amhara region of Ethiopia. The logistic regression model was applied to examine the factors affecting household adoption of solar home system. Results: The finding of this study shows significant variation in many socioeconomic and demographic characteristics between adopters and non-adopters of solar home system. The result of the binary logistic regression model indicated that as income of household increase, their propensity to adopt solar home system also increases. Likewise, participation in off-farm income activities, house type, educational status, training access, media access, and prior knowledge positively correlated with the adoption of SHS. On the other hand, gender and access to electricity are negatively associated with the adoption of SHS. Conclusion: Policy measures should create awareness through training, education, and information access or better media availability, and improving the economic status of households through creating lucrative off-farm income-earning opportunities to achieve enhanced adoption of the solar home system.

scholarly journals Socio-Economic Situation and Substance Use Disorder Influences on Safety Practices among Truckers

2020 ◽  
Vol 14 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Adeyinka P. Ajayi ◽  
Sonwabo P. Mazinyo
Keyword(s):  
Substance Use ◽  
Logistic Regression ◽  
Regression Model ◽  
Marital Status ◽  
Substance Use Disorder ◽  
Logistic Regression Model ◽  
Educational Status ◽  
Petroleum Products ◽  
Economic Situation ◽  
Bivariate Analysis

Background: The study examined the nexus between Social Economic Situation (SES) and Substance Use Disorder (SUD) and the influence the two exerted on willingness to comply with Health Safety and Environment (HSE) guiding the conveyance of petroleum products among truckers in Ibadan metropolis, Nigeria. Methods: Multistage and simple random sampling techniques were utilized to obtain the 265 respondents who are professional haulers and necessary information on the study objectives were obtained through self-reporting designed questionnaire. Bivariate statistical analysis and Logistic Regression Model were also used in ascertaining the existence of relationships among the dependent and independent variables. Results: The result from the bivariate analysis showed the existence of an association between two SES variables of age [X2 (9) 17.05, p=0.04] and literacy level[X2 (9) 41.36 p=0.00] and SUD. While the marital status of the respondents did not significantly influence the incidences of SUD [X2 (9) 9.841 p=0.36].Furthermore, a Logistic Regression Model (LRM) examined the relationship between dichotomous dependent variable (compliance or non-compliance to HSE stipulations guiding the conveyance of petroleum products) and the different independent explanatory variables (Age, Marital Status, Educational Status and SUD). The Wald criterion demonstrated that marital status (p=.000), educational status (p=.000) and attitude to SUD (p=.000) all made significant contributions to the prediction (compliance) while age (p=.861) was not a significant predictor. Conclusion: The study recommends the importance of non-economic factors (like literacy and marital status) in the achievement of sustainable HSE stipulations guiding the conveyance of petroleum products.

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