scholarly journals Challenges of and Opportunities for Market Access by Pineapple Agripreneurs in Rangwe Sub County, Homa Bay County, Kenya

2021 ◽  
pp. 130-140
Author(s):  
Winstone Asugo Nyaguti ◽  
Job Kibiwot Lagat ◽  
Hillary Bett ◽  
Fredrick Onyango Ogutu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Model ◽  
Market Access ◽  
Descriptive Analysis ◽  
Household Head ◽  
Education Level ◽  
Primary Data ◽  
Limited Attention ◽  
Survey Tool

Pineapple farming is among the fastest-growing agricultural sub-sectors in Homa Bay County, Kenya specifically Rangwe sub-county. However, limited attention has been given to the market access of this produce. Evidenced by vast quantities of pineapples harvested from the farms and stacked along main highways without targeting a specific market. This result to a small portion being sold and the rest deteriorating, consequently reducing returns for pineapple agripreneurs. Therefore, this paper sought to determine those factors that influences access to formal market by pineapple agripreneurs and as well as find out challenges of and opportunities for accessing formal markets by the Rangwe pineapple agripreneurs. The survey was undertaken in Rangwe Sub-county, and multisampling method was used to select a sample of 183 pineapple agripreneurs from the study area, primary data was collected using a semi-structured survey tool. Data was analyzed by descriptive analysis and Logistic regression model. Results indicated that pineapple agripreneurs were faced with numerous challenges in accessing pineapple market, also there existed several market access opportunities for pineapple agripreneurs. The results of logistic regression analysis revealed extension contacts, education level and price of pineapple as factors that were positively and statistically significant in influencing access to formal markets. While those that were statistically and negatively influencing access to formal market comprised of; age of household head, household size, and type of road. The study recommends;  improvement of road infrastructure in pineapple producing areas so as to improve on their market access; development of policies that encourages capacity building of pineapple agripreneurs in Rangwe sub-county 

scholarly journals The determinants of poverty in the Mexican states of the US–Mexico border

2015 ◽  
Vol 17 (33) ◽  
pp. 141-167 ◽  
Author(s):  
Jorge Garza–Rodríguez
Keyword(s):  
Logistic Regression ◽  
Logistic Regression Model ◽  
Household Head ◽  
The United States ◽  
Education Level ◽  
Domestic Service ◽  
Support Worker ◽  
Household Location ◽  
The Us ◽  
Mexico Border

This study examines the determinants or correlates of poverty in the Mexican states bordering with the United States. The data used in the paper come from the 2008 National Survey of Income and Expenditures of Households. A logistic regression model was estimated to determine which variables might be important in explaining poverty in this region. It was found that the variables which are positively correlated with the probability of being poor are: living in Coahuila, Tamau­lipas or Chihuahua, size of the household, being an ambulatory worker or working in an agricultural occupation, and being a manufacturing, transportation, sales, domestic service or support worker. Variables that are negatively correlated with the probability of being poor are living in Baja California, the education level of the household head and his/her age. Gender of the household head and household location were not statistically significant in the logistic regression analysis.

scholarly journals Analysis of distribution risk in Arabica coffee supply chain during pandemic in Aceh Tengah District

2022 ◽  
Vol 951 (1) ◽  
pp. 012083
Author(s):  
R Aprilia ◽  
M Y Wardhana ◽  
A Baihaqi ◽  
A Nugroho
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Supply Chain ◽  
High Risk ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Arabica Coffee ◽  
Ordinal Logistic Regression Analysis ◽  
State Income

Abstract Coffee is a plantation commodity that has the opportunity to be developed so as to increase state income. This study aims to determine how the risk of distribution in the Arabica coffee supply chain during the COVID-19 pandemic and to determine the most influential risk in the distribution of the Arabica coffee supply chain during the COVID-19 pandemic in Aceh Tengah District. The data used in this study are primary data and secondary data. This study uses descriptive analysis and ordinal logistic regression analysis. The results of this study indicate that the distribution risk of the Arabica coffee supply chain at the farm level is classified as high risk with a percentage of 87.2%, the distribution risk of the Arabica coffee supply chain at the collector level is in the medium category risk with a percentage of 45.5% and distribution risk Cooperatives began to occur due to the COVID-19 pandemic. From the interpretation results, it is stated that the risk of distribution risk in the Arabica coffee supply chain is the riskiest risk of loss of 0.069 times, then the variable risk of goods being exchanged is 0.036 times and the variable risk of delay is 0.004 times.

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.

scholarly journals Individual’s Characteristics and Ethical Financial Reporting Choice

2017 ◽  
Vol 8 (2) ◽  
pp. 141
Author(s):  
Yunita Dwi Rahayu ◽  
Anis Chariri
Keyword(s):  
Logistic Regression ◽  
Moral Development ◽  
Financial Reporting ◽  
Professional Ethics ◽  
Logistic Regression Model ◽  
Risk Preference ◽  
Total Sample ◽  
Cognitive Moral Development ◽  
Primary Data ◽  
Ethical Considerations

<p>The aim of this study is to examine the influence of individuals’ characteristics such as cognitive moral development, idealism, machiavellianism, deontology, and risk preference on the ethical financial reporting choice. The accountant profession cannot be separated from many ethical considerations that have been set with the professional ethics, and the professional ethics will be closely related with the individuals to consider how far they have applied those professional ethics, thus this research aims to identify whether the individuals’ characteristics influence the ethical financial reporting choice. This research is expected to be an important reference in the development of accounting knowledge particularly that which is related with the ethical-based financial reporting.  Total sample of 56 respondent were used for this study. Primary data gained through questionnaires were analyzed using logistic regression model. The findings of this study showed that risk preference had negatively significant influence on ethical financial reporting choice, while cognitive moral development, idealism, machiavellianism, and deontology had no significant effect on ethical financial reporting choice.</p>

STAKEHOLDER ASPECTS INFLUENCING IMPLEMENTATION OF FOOD SECURITY PROJECTS IN MSAMBWENI DISTRICT, KENYA

2018 ◽  
Vol 1 (1) ◽  
pp. 80-107
Author(s):  
Patrick Orengo Omari
Keyword(s):  
Food Security ◽  
Significant Relationship ◽  
Descriptive Analysis ◽  
Cultural Beliefs ◽  
Land Ownership ◽  
Education Level ◽  
Primary Data ◽  
Project Implementation ◽  
Cross Sectional ◽  
The Government

Purpose: To determine the stakeholder aspects influencing implementation of food security projects in Msambweni District, KenyaMethodology: The study adopted a cross sectional descriptive case study. The population to be comprised the residents of Msambweni district who practice farming activities. Sampling of farmers was done at random from the existing divisions and locations of Msambweni district. The primary data was gathered using questionnaires that were semi-structured. Descriptive analysis was used and this included the use of weighted means, standard deviation, relative frequencies and percentages. The results of the analysis were presented using tables, percentages and bar-charts.Results: Results indicated that land ownership was a key determinant in influencing food projects implementation. The findings indicated that land ownership made the implementation of food security projects easy and faster. There was a positive and significant relationship between food security project implementation and land ownership. The findings also indicated that there are taboos in their community which discourage some types of farming methods and some food crops and if people in Msambweni were to disregard cultural beliefs farm productivity and food sufficiency would change positively. The findings were also supported by a negative correlation and the relationship between food project and cultural practices was found not to be statistically significant. Results indicated that farming methods and inputs were key determinants of food security project implementation. The findings indicated that farming methods influenced the implementation of food projects at Msambweni district.  The correlation between farming methods and food security project implementation was found to be strong and positive. Results indicated that education was a key factor that influences food security project implementation. However the findings also indicated that education level of the respondents did not matter so much as long as they apply the correct farming methods and attend farming seminars and workshops. There results also showed that there was a positive and significant relationship between education level and food security project implementation.Unique contribution to theory, practice and policy: Based on the results, it is recommended to the farmers to ensure that they retain their own lands and avoid selling and put the land into good use by practicing farming. It is recommended to the farmers that they review the existing taboos and beliefs and disregard them as this can lead to improved food security due to embracement of the government food security project implementation. It is also recommended that the farmers should have an open mind in fighting hunger as this will ensure that all people work to the betterment of improving food security issues regardless of the religion and culture. It is further recommended to the farmers to evaluate the advantages of mechanized farming methods and traditional farming practices and embrace the better option. The study also recommends that the farmers should attend the farmer’s workshops and seminars organized by the government to exchange ideas and learn also new tactics of farming activities. The study recommends that the farmers to organize themselves in groups to invite the agricultural officers so that they can be trained on various farming methods and on how to improve their productivity. It is also recommended that the government should look for ways of communication modern methods of farming using locally understood languages to ensure that the whole country embraces changes at the same pace.

Analysis of cognitive characteristics and influencing factors of mass sports rehabilitation in Taiyuan

2019 ◽  
Author(s):  
Yaye He ◽  
Jiangong Wang ◽  
Liangyuan Zhao
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Health Status ◽  
Influencing Factors ◽  
Logistic Regression Analysis ◽  
Education Level ◽  
Factors Affecting ◽  
Exercise Rehabilitation ◽  
And Gender ◽  
Socio Economic Factors

Abstract Background: To assess the awareness regarding sports rehabilitation among residents of Taiyuan. Method: From September 27, 2018 to March 29, 2019, 1200 residents who met the inclusion/ criteria were selected using convenient sampling method. The population was surveyed by self-designed questionnaires, and single factor and two-category logistic regression analysis (stepwise forward method) was used to identify the factors influencing awareness of mass sports rehabilitation in Taiyuan. Results: A total of 1200 questionnaires were issued, of which 1167 were collected and 1101 were valid. The corresponding recovery and effective recovery rates were 97.25% and 94.34% respectively. The overall rate of awareness of exercise rehabilitation was 80.7%, and education level, occupation, income and health status were significant influencing factors (R<0.05). The results of two-class logistic regression analysis showed that age, occupation, education level, income level and health status were the influencing factors affecting the public's perception of the sports rehabilitation concept (R<0.05), whereas gender, occupation, education level and health status influenced understanding of the establishment of the rehabilitation department in Taiyuan (R<0.05), and gender, age, education level and health status affected understanding of the types of patients receiving rehabilitation (R<0.05). Conclusion: There is a high general awareness regarding sports rehabilitation, and is influenced by various socio-economic factors.

scholarly journals Understanding Primary Ciliary Dyskinesia: Experience From a Mediterranean Diagnostic Reference Centre

2020 ◽  
Vol 9 (3) ◽  
pp. 810
Author(s):  
Miguel Armengot-Carceller ◽  
Ana Reula ◽  
Manuel Mata-Roig ◽  
Jordi Pérez-Panadés ◽  
Lara Milian-Medina ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Regression Model ◽  
Logistic Regression Analysis ◽  
Situs Inversus ◽  
Primary Ciliary Dyskinesia ◽  
Logistic Regression Model ◽  
Productive Cough ◽  
Simple Logistic ◽  
Ciliary Dyskinesia

Background: Due to the lack of a gold standard diagnostic test, reference centres with experienced personnel and costly procedures are needed for primary ciliary dyskinesia (PCD) diagnostics. Diagnostic flowcharts always start with clinical symptoms. Therefore, the aim of this work is to define differential clinical criteria so that only patients clinically compatible with PCD are referred to reference centres. Materials and methods: 18 variables from 476 Mediterranean patients with clinically suspicious PCD were collected. After analysing cilia function and ultrastructure, 89 individuals were diagnosed with PCD and 387 had a negative diagnosis. Simple logistic regression analysis, considering PCD as a dependent variable and the others as independent variables, was done. In order to define the variables that best explain PCD, a step-wise logistic regression model was defined. Aiming to classify individuals as PCD or PCD-like patients, based on variables included in the study, a classification and regression tree (CART) was designed. Results and conclusions: Simple logistic regression analysis shows statistically significant association between age at the beginning of their symptomatology, periodicity, fertility, situs inversus, recurrent otitis, atelectasis, bronchiectasis, chronic productive cough, rhinorrea, rhinusinusitis and recurrent pneumonias, and PCD. The step-wise logistic regression model selected situs inversus, atelectasis, rhinorrea, chronic productive cough, bronchiectasis, recurrent pneumonias, and otitis as PCD predictive variables (82% sensitivity, 88% specificity, and 0.92 Area Under the Curve (AUC)). A decision tree was designed in order to classify new individuals based on pansinusitis, situs inversus, periodicity, rhinorrea, bronchiectasis, and chronic wet cough.

scholarly journals Trends in Tobacco Use among Children and Adolescents in Israel, 1998–2015

2020 ◽  
Vol 17 (4) ◽  
pp. 1354
Author(s):  
Riki Tesler ◽  
Tanya Kolobov ◽  
Liat Korn ◽  
Kerem Shuval ◽  
Diane Levin-Zamir ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Children And Adolescents ◽  
Logistic Regression Analysis ◽  
Descriptive Analysis ◽  
Smoking Behavior ◽  
Multivariate Logistic Regression Analysis ◽  
Total Sample ◽  
Smoking Prevention ◽  
Control Programs

Objectives: This study aims to measure trends in cigarette smoking among children and adolescents in Israel, focusing on school grade, sex, and ethnicity. We hypothesized that smoking would be higher among boys and Arab-Israelis, rates would grow with age, and there would be a decline over time. Methods: Data were derived from the Health Behavior in School-aged Children study between 1998 and 2015 in Israel. The total sample included 56,513 students in grades 6, 8, and 10, with 29,411 girls and 27,102 boys. Descriptive analysis described trends of smoking behavior according to grade, sex, ethnicity, family affluence, and year of study. multivariate logistic regression analysis examined predicting variables. Results: Smoking was higher among boys in all grades, ethnic groups, and years of study, with the highest frequencies among Arab-Israelis. Trends over the years show a decline from 1998 to 2004, followed by an increase for both sexes. The increase was more prominent among girls. Logistic regression analysis revealed strong associations between smoking and grade, sex, ethnicity, and year of study. Conclusions: The results of this study can significantly enhance the development and implementation of smoking prevention and control programs among students in Israel.

scholarly journals The Influence of Borrowers' Language Features on P2P Lending

2021 ◽  
Author(s):  
Zhengwei Ma ◽  
Dan Zhang
Keyword(s):  
Logistic Regression ◽  
Information Asymmetry ◽  
Logistic Regression Model ◽  
Risk Control ◽  
Education Level ◽  
Probability Of Default ◽  
Language Function ◽  
Linguistic Features ◽  
P2p Lending ◽  
Default Rate

Abstract Under the background of the reshuffle of the P2P market in China, this paper investigates the influence of four borrower's language features on their funding and default rate based on language function theories. In our study, we use a logistic regression model and the empirical results show that: the more redundant the borrower's language expression is, the more open and objective the content is, and the more attention is paid to the punctuation details, the easier it is to obtain the loan successfully. When the borrower's description is more redundant and more attention is paid to the punctuation details, the probability of default would become lower. Taking the education level into consideration, we find that the negative relating effect between the description redundancy and the default rate would be lower with the increase of the borrower’s education level. Therefore, we can conclude that the four linguistic features of borrowers which are defined in this paper can alleviate the information asymmetry problem of P2P lending to some extent and the borrower's linguistic features can be included into the risk control system.

scholarly journals Determinants of acute respiratory infection among under-five children in rural Ethiopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Amanuel Mengistu Merera
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Regression Model ◽  
Respiratory Infection ◽  
Acute Respiratory Infection ◽  
Logistic Regression Model ◽  
P Value ◽  
Under Five ◽  
Under Five Children ◽  
Rural Ethiopia

Abstract Introduction In low- and middle-income nations, acute respiratory infection (ARI) is the primary cause of morbidity and mortality. According to some studies, Ethiopia has a higher prevalence of childhood acute respiratory infection, ranging from 16 to 33.5%. The goal of this study was to determine the risk factors for acute respiratory infection in children under the age of five in rural Ethiopia. Methods A cross-sectional study involving 7911 children under the age of five from rural Ethiopia was carried out from January 18 to June 27, 2016. A two stage cluster sampling technique was used recruit study subjects and SPSS version 20 was used to extract and analyze data. A binary logistic regression model was used to identify factors associated with a childhood acute respiratory infection. The multivariable logistic regression analysis includes variables with a p-value less than 0.2 during the bivariate logistic regression analysis. Adjusted odds ratios were used as measures of effect with a 95% confidence interval (CI) and variables with a p-value less than 0.05 were considered as significantly associated with an acute respiratory infection. Results The total ARI prevalence rate among 7911 under-five children from rural Ethiopia was 7.8%, according to the findings of the study. The highest prevalence of ARI was found in Oromia (12.8%), followed by Tigray (12.7%), with the lowest frequency found in Benishangul Gumuz (2.4%). A multivariable logistic regression model revealed that child from Poor household (AOR = 2.170, 95% CI: 1.631–2.887), mother’s no education (AOR = 2.050,95% CI: 1.017–4.133), mother’s Primary education (AOR = 2.387, 95% CI:1.176–4.845), child had not received vitamin A (AOR = 1.926, 95% CI:1.578–2.351), child had no diarrhea (AOR = 0.257, 95% CI: 0.210–0.314), mothers not working (AOR = 0.773, 95% CI:0.630–0.948), not stunted (AOR = 0.663, 95% CI: 0.552–0.796), and not improved water source (AOR = 1.715, 95% CI: 1.395–2.109). Similarly, among under-five children, the age of the child, the month of data collection, anemia status, and the province were all substantially linked to ARI. Conclusions Childhood ARI morbidity is a serious health challenge in rural Ethiopia, according to this study, with demographic, socioeconomic, nutritional, health, and environmental factors all having a role. As a result, regional governments, healthcare staff, and concerned groups should place a priority on reducing ARI, and attempts to solve the issue should take these variables into account.

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