2016
DOI: 10.1007/s12571-015-0536-8
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Mopane worm (Imbrasia belina) and rural household food security in Limpopo province, South Africa

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Cited by 33 publications
(30 citation statements)
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“…Edible insects are receiving increasing attention for their posited role in current and future food security (Van Huis et al 2013;Van Huis 2015), but data on the present contribution of edible insects to household level food security in food-insecure regions are sparse (Kelemu et al 2015, but see Baiyegunhi et al 2016). We therefore used a mixed methods approach to assess who currently benefits from the harvest of shea caterpillars in southwestern Burkina Faso, what those benefits constitute, and how this impacts the overall food security status of households at risk.…”
Section: Discussionmentioning
confidence: 99%
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“…Edible insects are receiving increasing attention for their posited role in current and future food security (Van Huis et al 2013;Van Huis 2015), but data on the present contribution of edible insects to household level food security in food-insecure regions are sparse (Kelemu et al 2015, but see Baiyegunhi et al 2016). We therefore used a mixed methods approach to assess who currently benefits from the harvest of shea caterpillars in southwestern Burkina Faso, what those benefits constitute, and how this impacts the overall food security status of households at risk.…”
Section: Discussionmentioning
confidence: 99%
“…To measure perceptions of household food security during and outside of caterpillar season, we chose the HFIAS due to its sensitivity to food access, quantity and reported anxiety, its applicability to measuring food security at household level (Jones et al 2013), and its use in similar settings (Baiyegunhi et al 2016). We refined the questions for use in the Soumosso-Koba-Larama area with five local bilingual key informants to ensure that translated questions were accurate and contextually appropriate (following Coates et al 2007).…”
Section: Hfias Surveysmentioning
confidence: 99%
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“…The household survey also included various independent variables that were used to describe the study groups and to explain the determinants of food security at the group level (Table 1). These variables were selected based on existing literature focusing on the multiple socioeconomic factors affecting rural household food security such as the gender of household head, family size, household income, household livelihoods, dependency ratio, (cultivated) land size and livestock ownership among others, for example, [33,[37][38][39] among several other studies.…”
Section: Data Collectionmentioning
confidence: 99%
“…Household Step 3 uses the propensity score matching (PSM) approach in a binary treatment variable [47], to estimate the food security outcomes of involvement in smallholder-based rubber or oil palm production. Several recent studies have used the PSM approach to assess the impact of different agricultural interventions in Africa (e.g., see [38,[48][49][50][51]. We use the three most commonly adopted matching methods, that is, neighbor matching (NNM), caliper-based matching (CBM) and the kernel-based matching (KBM) [52,53] (see Supplementary Electronic Material for more details).…”
Section: Household Characteristicsmentioning
confidence: 99%