scholarly journals Comparative Analysis of Savers and Non-Savers among Tomato Farmers in Ghana

2017 ◽  
Vol 50 (4) ◽  
pp. 175-189 ◽  
Author(s):  
Daniel Aidoo-Mensah
Keyword(s):  
Binary Logistic Regression ◽  
Descriptive Statistics ◽  
Economic Variable ◽  
Tomato Production ◽  
Psychological Traits ◽  
Economic Psychology ◽  
Coefficient Of Concordance ◽  
Psychology Theory ◽  
Income Generating Activities ◽  
Tests For Independence

AbstractThe study sought to examine the differences between savers and non-savers among a cross-section of 562 farmers randomly selected from six districts in three regions (Ashanti, Brong Ahafo and Upper East) of Ghana. By means of descriptive statistics in the form of frequencies and percentages, the study segregated the respondents into savers and non-savers and Kendall coefficient of concordance was employed to identify the motives of saving among savers and non-saving among non-savers. In order to test whether savers and non-savers differ in relationship to some key socio-economic demographic characteristics, a series of Pearson’s Chi-tests for independence were employed. Finally, by the application of economic-psychology theory on financial savings through binary logistic regression, the study examined empirical differences between savers and non-savers. The study found out that in terms of a key economic variable, that is, income generated from tomato production, savers tend not to differ from non-savers. The issue then is since savers are faced with similar economic challenges relating to their income generating activities, but still manages to save, then the differences between savers and non-saver go beyond economic reasons. Thus, the distinction between saving and non-saving which is underlined by psychological traits have been found to be mainly behavioural and demographic in nature conveying the idea that rural households themselves have a significant part to play with regards to forming, improving and maintaining their savings habits.

scholarly journals Analysis of Factors Influencing Food Nutritional Labels Use in Nanjing, China

Foods ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1796
Author(s):  
Jing Zhang ◽  
Liangliang Zhai ◽  
Maurice Osewe ◽  
Aijun Liu
Keyword(s):  
Nutritional Value ◽  
Binary Logistic Regression ◽  
Descriptive Statistics ◽  
Policy Recommendations ◽  
Nutritional Knowledge ◽  
Nutrition Label ◽  
Nutrition Labels ◽  
Factors Influencing ◽  
Food Nutrition ◽  
Label Use

A correct use of food nutrition la bels benefits consumers in pursuing balanced diets. As a result, we conducted interviews in Nanjing, China and randomly sampled 427 respondents. Further, we used both descriptive statistics and binary logistic regression to assess their perception of food nutrition label use. The results indicated that the current situation is not ideal in Nanjing. Only 7.26% of respondents use labeling consistently. Data on purchasing experience, comprehension, nutritional value, work sector, chronic disease, diet awareness, nutritional knowledge, and age were statistically significant. Conversely, taste and primary shopper categories negatively influenced food nutrition label use. In light of the above results, we propose policy recommendations to promote consumers’ use of food nutrition labels. These are also beneficial in improving diet and relieving chronic diseases.

scholarly journals Predictors of the Effectiveness of Management Accounting Function in Nigerian Firms

2017 ◽  
Vol 64 (4) ◽  
pp. 487-512 ◽  
Author(s):  
Babajide Oyewo
Keyword(s):  
Factor Analysis ◽  
Random Sampling ◽  
Management Accounting ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Descriptive Statistics ◽  
Stratified Random Sampling ◽  
Effective Management ◽  
Statistical Tools ◽  
Finance Officers

Abstract This study evaluated the influence of six contingent variables – firm size, age, sector, existence of management accounting department, affiliation to foreign entity and public-quotation status – on the effectiveness of management accounting function in Nigerian firms. Stratified random sampling technique was deployed to obtain the views of 131 Finance Officers with oversight role across major sectors of the Nigerian economy. Statistical tools used in analysis were descriptive statistics, factor-analysis, Kruskal Wallis Test and binary logistic regression. Whilst detecting that contextual variables such as size, age, sector, existence of management accounting department and public-quotation status significantly affect the effectiveness of the management accounting function, affiliation to foreign entity was found not to exert significant influence. The strongest predictor of the likelihood of operating a very effective management accounting function was the existence of management accounting department. Organisations are encouraged to have separate management accounting department because of additional benefits imbued by specialist management accounting skills.

scholarly journals Postharvest Losses of Tomato (Solanum Lycopersicum) in the Open Markets in Ibadan Metropolis

2021 ◽  
Vol 8 (2) ◽  
pp. 15-19
Author(s):  
Ojimi K O ◽  
Oyediran W O ◽  
Salawu M B ◽  
Abiodun Y ◽  
Alaka F A ◽  
...  
Keyword(s):  
Sampling Technique ◽  
Simple Random Sampling ◽  
Descriptive Statistics ◽  
Food Markets ◽  
Tomato Production ◽  
Production Chain ◽  
Postharvest Losses ◽  
Postharvest Handling ◽  
Open Markets ◽  
Analyze Data

Postharvest losses of tomato pose serious threat on the economic viability of actors in the tomato production chain in Nigeria. Therefore, postharvest losses of tomato among marketers in Ibadan Metropolis of Oyo State Nigeria were investigated by the researchers. One hundred and twenty tomato marketers were chosen from the five food markets in Ibadan metropolis through a simple random sampling technique. The study adopted linear regression and descriptive statistics to analyze data. The outcomes of the investigation show that females were 92.5% and 88.3% were married. Capital is primarily raised through cooperative societies (57.5%). Postharvest losses of tomato accounted for 18.9% of purchase which represents ₦124,800/day. The major causes of PHLs are poor packaging (100%) and poor storage (100%) by the tomato marketers. Meanwhile, all the respondents (100%) adopted sorting to reduce PHLs of tomato. The regression analysis showed that education has a significant effect to reduce PHLs of tomato. The study concluded that huge postharvest and monetary losses of tomato are experienced by the tomato marketers. The study recommends provision of quality postharvest handling education to tomato marketers as a way of reducing PHLs of tomato in Ibadan.

scholarly journals Provision of physical activity advice for patients with chronic diseases in Shenzhen, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rui Hu ◽  
Stanley Sai-chuen Hui ◽  
Eric Kam-pui Lee ◽  
Mark Stoutenberg ◽  
Samuel Yeung-shan Wong ◽  
...  
Keyword(s):  
Physical Activity ◽  
Healthcare Providers ◽  
Binary Logistic Regression ◽  
Descriptive Statistics ◽  
Demographic Information ◽  
Face To Face ◽  
Intervention Measures ◽  
Physical Activity Advice ◽  
Male Patients ◽  
To Receive

Abstract Background Physical activity (PA) may best be promoted to patients during clinical consultations. Few studies investigated the practice of PA advice given by physicians, especially in China. This study aimed to investigate the prevalence and contents of PA advice given by physicians in China and its association with patients’ characteristics. Methods Face-to-face questionnaire asking the prevalence and contents of PA advice given by physicians was administered to adult patients in three major hospitals in Shenzhen, China. Attitude of compliance, stature, PA level, and socio-demographic information were also collected. Data was analyzed via descriptive statistics and binary logistic regression. Results Of the 454 eligible patients (Age: 47.0 ± 14.4 years), only 19.2% (n = 87) reported receiving PA advice, whereas 21.8%, 23.0%, 32.2%, and 55.2% of patients received advices on PA frequency, duration, intensity, and type, respectively. Male patients were more likely to receive PA advice from physicians [odds ratio (OR): 1.81; 95% confidence interval (CI): 1.08–3.05], whereas patients who were unemployed (OR: 0.16; 95% CI: 0.04–0.67), and who already achieved adequate amount of PA (OR: 0.29; 95% CI: 0.12–0.71) were less likely to receive PA advice. Conclusions Prevalence of physicians providing physical activity advice to patients is low, there is a pressing need to take intervention measures to educate healthcare providers.

Determinants of Women Participation in Income Generating Activities: Evidence From Ethiopia

2021 ◽  
Author(s):  
Abera Alemu ◽  
Tesfaye Woltamo ◽  
Aklilu Abuto
Keyword(s):  
Rural Women ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
High Income ◽  
Primary Data ◽  
Access To Credit ◽  
Women's Participation ◽  
Income Generating Activities ◽  
Market Distance ◽  
Land Size

Abstract This paper aims to examine the major determinants and challenges of women's participation in income-generating activities focusing on rural women of Ethiopia's practical evidence. To carry out this study both primary and secondary data was collected and analyzed. Randomly selected 161 households were the source of primary data for this study. Secondary data was collected from the review of related works of literature. A binary logistic regression econometric model was implemented to identify major determinants of women's participation in income-generating activities. Women in the study area are not allowed by their husbands to participate in high-income earning activities. They are considered as a housewife and the only husband is expected to participate in high income-generating activities due to the local customs. As a result, some women participate in small business activities like livestock product sales, vegetable and fruit sell, poultry, petty trade, hairdressing, and wage labor. In the study area, women's participation in the income-generating activity is determined by age, husband’s education, women's education, family size, land size, market distance, livestock holding, and access to credit. This paper contributes to the literature on women's participation challenges in income-generating activities, giving emphasis on rural women's perspectives. It provides the basis for further studies aimed at challenges hindering women's participation in high-income earning activities, particularly in developing countries.

Analysis of multistage chains in public transport: The case of Quito, Ecuador

2016 ◽  
Author(s):  
Efrain Bastidas Zelaya
Keyword(s):  
Logistic Regression ◽  
Best Practices ◽  
Public Transport ◽  
Computer Software ◽  
Binary Logistic Regression ◽  
Household Survey ◽  
Single Stage ◽  
Descriptive Statistics ◽  
Policy Makers

 Because of the growth of cities in size and population, people get used to perform several stage trips involving transfers due to advantages such as time or price paid, being multistage trips more attractive compared to single stage trips. In Quito, Ecuador, nowadays multistage trips represent one third of total daily trips. This paper seeks to identify main characteristics of multistage trips as well as find relationships and inferences that allow recommendations regarding best practices to policy makers and transport managers. The information used belong to the data collected in the Household Survey Mobility held in Quito in 2011. Based on these data, the present work starts using an analysis with descriptive statistics. The next phase of this research involves the search for a methodology in order to identify correlations between demographic, socioeconomic and transport variables related with traveler´s choice for making or not a transfer.  Best methodology found was the use of Binary Logistic Regression (Logit) and specific computer software, with which different statistic's models were performed to find the strongest correlation. The paper ends with conclusions and recommendations as well as suggestions for future research.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3530

scholarly journals FACTORS AFFECTING LOCAL FARMERS ADOPTION OF EUCALYPTUS WOODLOT IN JAMMA DISTRICT, SOUTH WOLLO ZONE, AMHARA REGIONAL STATE OF ETHIOPIA

2021 ◽  
pp. 251-256
Author(s):  
Tesfanesh Ababu Kebede
Keyword(s):  
Random Sampling ◽  
Binary Logistic Regression ◽  
Education Level ◽  
Descriptive Statistics ◽  
The Other ◽  
Binary Logistic Regression Analysis ◽  
Systematic Random Sampling ◽  
Factors Affecting ◽  
Exotic Tree ◽  
Local Farmers

Eucalyptus is one of the most widely planted exotic tree species grown in Ethiopia. The spices have been planted as a woodlot by local farmers and became one of the most economically important tree plants. The main objective of the study was to identify factors that determine the local farmers’ decision making of eucalyptus woodlot production in Jamma District, Ethiopia. The survey was carried out on 150 local farmers who were selected through systematic random sampling. The collected raw data were analyzed through descriptive statistics and binary logistic regression analysis. The result of the study shows that landholding size, Farmers' education level; the age of the farmers were positive significantly affecting the adoption of eucalyptus woodlot. On the other hand fertility of land, family size and distance from the market was affecting the farmer's adoption of Eucalyptus woodlot production negatively. To protect the forest from deforestation and increase the income of households, it recommends that policymakers should work with stakeholders to create an enabling policy environment to support Eucalyptus production in Ethiopia. KEYWORDS: Adoption, Eucalyptus Tree, Farmers, Plantation, Woodlot, Ethiopia.

scholarly journals Determinants of Cellphone Usage among Sea Fisher’s During Marine Fishing in Selected Coastal Villages of Bangladesh

2021 ◽  
Vol 8 (1) ◽  
pp. 125-143
Author(s):  
Mohammed Salahuddin Ahmed ◽  
Mohammed Mamun-ur-Rashid ◽  
Mohammed Tareq Mahmood
Keyword(s):  
Odds Ratio ◽  
Quantitative Data ◽  
Cell Phone ◽  
Binary Logistic Regression ◽  
Descriptive Statistics ◽  
Information Need ◽  
Binary Logistic Regression Model ◽  
Cell Phone Use ◽  
Face To Face ◽  
Marine Fishing

The cell phone can provide numerous benefits to sea fishers who risk their lives and resources for making livelihoods. This article is based on the firm assumption that the use of the cell phone during marine fishing can contribute to income, security and risk reduction. This study adds to the empirical evidence of determinants of cell phone use by fishers during marine fishing. For the purpose of reaching objectives, the study has drawn quantitative data generated through structured face-to-face interviews with 200 randomly selected fishers from three selected villages adjacent to the Bay of Bengal in the mid coastal area of Bangladesh during the period January to February 2016. Descriptive statistics, inferential statistics and binary logistic regression model is used to analyze the data. The study concludes that fishers own cell phone (odds ratio[OR]=6.56, 95 per cent confidence interval [CI]: 1.69,25.44), enjoying the availability of cell phone network (OR=166.20, 95 per cent CI:38.35, 720.28), earned low (OR=20.35, 95 per cent CI:4.24, 97.28) to medium income (OR=9.53, 95 per cent CI:0.99, 91.12) form sea fishing have a greater tendency to use cell phones, while fishers had low information need (OR=0.11, 95 per cent CI:0.01, 1.13) represented lower use of cell phone during marine fishing. Thus, it is essential to build cell phone infrastructure bases in the potential fishing zones of Bangladesh and supplying cell phone devices at subsidised cost.

scholarly journals Analysis of the management competencies of goat farmers in some selected local government area of Lagos State Nigeria

2020 ◽  
pp. 28-33
Author(s):  
O.S. Akintobi ◽  
B.C. Achu
Keyword(s):  
Local Government ◽  
Binary Logistic Regression ◽  
Descriptive Statistics ◽  
Extension Service ◽  
Management Competencies ◽  
Lagos State ◽  
Management Competency ◽  
Improve Service Delivery ◽  
Goat Farming ◽  
Intensive System

This study focused on the analysis goat farmers’ management competency in ensuring sustainable production in some selected local government areas of Lagos state, Nigeria. A total of 80 goat farmers were sampled for the study with the aid of structured questionnaires which were used to collect data needed for the study. The objectives of this study were analyzed using descriptive statistics and the hypothesis was tested using binary logistic regression. The result showed that men dominated women in goat farming and that the average age of respondents was 42.4 years. It revealed that majority of the respondents (65.4%) made an annual income of 100,000-300,000 annually and had lived in the study area for 10-15 years. This study also showed that majority of the respondents practiced semi intensive system of management, used family labour (55.6%), the study further revealed that the goat farmers in the study area has low management competency with poor extension service, lack of pasture and graze land and prevalence of ectoparasite among the major challenges facing the goat farmers. It was recommended that farmers be encouraged to belong to organizations such as cooperatives to solve problems in management and government should revamp the extension service to improve service delivery to the farmers.

Participatory Exclusion in Community-Based Forest Management

2021 ◽  
pp. 392-409
Author(s):  
Enoch Akwasi Kosoe ◽  
Alexis Beyuo ◽  
Reginald Addy-Morton
Keyword(s):  
Community Participation ◽  
Binary Logistic Regression ◽  
Descriptive Statistics ◽  
Local Power ◽  
Local Authorities ◽  
Forest Reserve ◽  
Factors Influencing ◽  
Reserve Management ◽  
Livelihood Options ◽  
Community Cooperation

The inherent benefits of community participation are sometimes used by local power holders as a façade to perpetuate non-participation in the management and use of forest resources. Guided by the concept of participatory exclusion, the study assessed the perceptions of inhabitants around the Wa Community Forest Reserve (WCFR), concerning the categories of people that benefit from the forest and the factors influencing community participation in the management of the forest reserve. Data was collected from 200 households in three communities and analysed using mainly descriptive statistics and binary logistic regression. The study found that community participation in the forest reserve management is below average. Gender, age, and livelihood options of households were significant determinants of one's participation in forest reserve management. Lack of community cooperation and logistical challenges were impediments to the effective management of the forest reserve. Local authorities should therefore encourage women to co-manage the forest reserve with men and local authorities for its sustenance.

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