1,720,955 research outputs found
Food Insecurity and Its Determinants in Southern Ethiopia, In Case of Kecha Birra District, Kambata Zone, Ethiopia
No full textThe study examined food insecurity and its determinants in Southern Ethiopia, Kecha Birra district. This study was designed to assess food insecurity and its determinants Kecha Birra district using cross sectional survey data gathered in 2019/20 from a sample of 99 were conducted. To assess food insecurity and its determinants both descriptive and econometrics analysis were used. The data were analyzed by using Statistical Package for Social Science (SPSS). Descriptive statistics such as frequency, mean, percentage, pie chart, bar graph, t-test and chi-square were used. Binary logistic regression model was employed to determine factors that influence food insecurity in southern Ethiopia. Results of the study showed that the income of household head, education level of household head, sex of household head, age of household head, access to credit, marital status and household size were found to significantly influence food insecurity. The findings of the study revealed that most of the households were food insecure through the use of HFIAS measurement. These foods in secured households could not cover the required their daily food. The study recommends that any effort in income diversification opportunities in rural area through off farm activities, education, training and extension service and improve livestock productivity could help to enhance household food security in the study area. Keywords: Food, Food insecurity, Logistic regression, Kecha Birra District, Ethiopia DOI: 10.7176/FSQM/106-04 Publication date:March 31st 2021
Determinants of Food Security and its Role of Market Access in Enhancing Food Security in Rural Ethiopia: A Case Study Among Rural Smallholder Farm Households of Gombora Woreda in Hadiya Zone, Ethiopia
No full textThe study was conducted in SNNPR; Hadiya Zone in Gombora Woreda to assess the status of smallholder farming household’s food security, and its determinants including the role of market accessibility factors in increasing food security at smallholder farm households level. The data used for the study were obtained from 364 randomly selected sample households in the study area. The data for the study was collected from both primary and secondary sources. For the primary data collection, questionnaires was designed and pre-tested based on the objective of the study in the study area. The questionnaires schedule was tested at the farm level on 10 randomly selected farm households. The study was employed both descriptive and econometric data analysis methods. Binary logistic regression model was employed to analyze the market accessibility factors in enhancing food security at smallholder farm household’s level. Results of econometric model showed that the age of household, education level, use of credit, monthly income, and distance to road, distance to market, extension services and crop diseases were significantly determining rural smallholder farm household’s food security. The results suggest that local food security can be enhanced by creating off-farm employment opportunities, improved transportation facilities and road infrastructure. So, government should exhaustively work on promoting irrigation, providing credit, enhancing extension service and subsidize the farmers in the area of agricultural sector to solve the problem of food insecurity and should give due emphasis to female headed households to empower economically. Keywords: Econometric Analysis, Food Security, Binary logistic regression model DOI: 10.7176/FSQM/100-05 Publication date:August 31st 2020
Factors affecting coffee farmers’ production in Jimma Zone, Southwest Ethiopia
No full textCoffee yield has good potential in the welfare capabilities of growers in coffee cultivating in Ethiopia in general and particularly in Jimma zone, southwest Ethiopia. Therefore, this study attempts to investigate the factors affecting coffee production in Jimma Zone, Southwest Ethiopia, using cross-sectional field survey data collected from 204 sample coffee growers in the 2023 main growing season. Primary and secondary data were collected in this study. Descriptive and binary logistic regression methods were employed for the data analysis. The results of binary logistic regression analysis showed that age, education status, off-farm activity, landholding, livestock holding, soil fertility, fertilizer use, use of credit, access to extension service, provision of improved seed, access to market information, access to infrastructure, distance to the nearest market and distance to the nearest road were the factors significantly influencing coffee production. Overall, the findings indicate that to enhance and sustain coffee yield in the study area, improved coffee varieties and agronomic practices can be better options to expand coffee yield. Therefore, the concerned bodies should pay considerable attention to coffee production, which is a crucial base for driving food security. The summary of coffee production by policymakers could help to achieve improved living standards for the people in the Jimma Zone.
Key words: Coffee production; Ethiopia; Jimma zone; coffee varieties; food security
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
No full text“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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