Agricultural and Food Economics · 2017 · 68 citations · 38 references
AgricultureNutritionPublic Health NutritionFood SecurityHuman NutritionRural HealthConsumer Food ChoiceFood ConsumptionFood Consumption PatternsHousehold Food Consumption SurveysRural Consumption PatternsRural Indigenous HealthMarket DistanceNegative Binomial RegressionNutritional SecurityRural Household Consumption PatternsTraditional Knowledge IntegrationVegetable ConsumptionZero-inflated ModelsZero-inflated Regression
Estimation of consumption intensity of African indigenous vegetables (AIVs) is important to understand how their utilization can be enhanced at the household level. The study evaluated consumption intensity of leafy AIVs using the zero-inflated negative binomial regression model. A multistage sampling technique was used to select a random sample of 450 rural and urban respondents, and data were collected using a pre-tested semi-structured questionnaire. The findings revealed that consumption intensity of leafy AIVs were higher in rural than in urban dwellers with a mean of four and two times a week, respectively. Age, occupation, household size, diversity of AIV leaves, market distance, awareness of AIV’s medicinal benefits and proportion of income allocated to food purchases significantly influenced consumption intensity of leafy AIVs. Strategies that could promote the transfer of AIVs’ traditional knowledge to uninformed consumer segments such as male and younger decision-makers could increase the consumption intensity of leafy AIVs in rural dwellers. Similarly, the consumption intensity of leafy AIVs in urban dwellers could increase through the promotion of the value addition activities of sorting and plucking vegetable leaves from their stalks before marketing. Finally, in both rural and urban dwellers, promotion of AIV diversity in food systems through diversified production and well-coordinated market supply chains could increase consumption intensity of leafy AIVs.
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Specification and testing of some modified count data models
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