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.

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 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. 

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 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 Determinant Factors of Muzakki Toward Paying Zakat, Infaq, Sedekah (ZIS) in Zakat Institutions

2020 ◽  
Vol 3 (2) ◽  
pp. 143
Author(s):  
Hening Pratika Nila Hapsari ◽  
Unggul Priyadi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Regression Model ◽  
Logistic Regression Analysis ◽  
Logistic Regression Model ◽  
Primary Data ◽  
Role Of Government ◽  
Financial Accountability ◽  
Objective Study

Introductions to The Problem: Zakat is one of worship which is often mentioned in the Al Quran. It's just that the potential for Zakat, Infaq, Alms (ZIS) is not comparable to the actual actual figures. Many factors influence muzakki in paying ZIS.Purpose/Objective Study: This study aims to analyze the factors that influence muzakki to pay ZIS in zakat institutions, namely Yatim MandiriDesign/ Methodology/ Approach: The sample in this study amounted to 200 respondents. LAZ Yatim Mandiri was chosen because it is an Amil Zakat Institution that is consistent in collecting ZIS funds from the smallest amount to the large amount. This study uses logistic regression analysis and the data used are primary data. Based on the analysis that has been done, it is found that 61% results can be predicted correctly in the logistic regression model in this study.Findings: The consistency of muzakki in paying ZIS at the Yatim Mandiri Amil Zakat Institution is influenced by the variables of religiosity, income, trust, shariah compliance, knowledge, justice, data publication, financial accountability, motivation, the role of ulama, the role of government. And the consistency of muzakki in paying ZIS at the Yatim Mandiri Amil Zakat Institution is not influenced by the variables of shariah compliance and financial accountability.

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