Perception and willingness to contribute towards food banking in the Ashanti Region of Ghana
Bibliographic record
Abstract
Purpose The purpose of this study is to examine the perception and willingness to contribute towards food banking in the Ashanti Region of Ghana. Design/methodology/approach Structured questionnaire was used to elicit primary data for the study from 385 respondents via the multistage sampling approach. The quantile regression model was used to analyse the factors that influence the willingness to contribute towards food banks across quantiles of contribution. Factor analysis was further used to examine the perception of food banking. Findings Gender, education and awareness influence the quantiles of contribution. Gender positively influences contribution at the 0.50 quantile. Education negatively affects contribution at the 0.25 and 0.50 quantiles whereas awareness influences contribution at the 0.75 quantiles. The benefit perception of the user and the social status perception of receiving food from food banks convey a sense of positive knowledge concerning what food banking should entail. Research limitations/implications The study provides insights on the determinants affecting the contribution towards food banking across quantiles of contribution. However, it worth noting that, the study uses cross-sectional data which fail to account for the changes over time. A Longitudinal study would therefore be imperative concerning the implementation of food banking. Practical implications The perceived positive knowledge of food banking is suggestive that, the Government of Ghana through the Ministry of Food and Agriculture (MOFA) should strengthen measures directed towards the implementation of food banking. Moving forward, non-governmental organisations on the verge of conducting a pilot implementation of food banks should give critical focus to the given area of study as the inhabitants are most likely to be attuned to such a course. Finally, to champion contribution amongst the inhabitants, leaders of food banking initiatives and other stakeholders should work in conjunction with residents that are aware of food banks at the high-income class. This procedure would aid in reducing the chances of low contributions to the implementation of food banking. Social implications This paper provides empirical implications for the development of food banks in Ghana. The findings emanating from this study has substantial social implications, because it serves as an instrumental guide to the implementation of food banks by the MOFA, and when implemented would assuage the poor living conditions of individuals that do not meet a three-square meal per day. Originality/value In this research, the authors add to the body of knowledge by employing a quantitative approach. Moreover, the authors extend the frontiers of the methodological approach by using the quantile regression model to understand the factors that influence the contribution towards food banking across quantiles of contribution. Furthermore, several studies in the developed world have been geographically limited to UK, USA, Canada and Germany with few studies in Ghana. Besides, there is limited rigorous empirical study of the perception and willingness to contribute towards food banking in Ghana.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".