{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/105076"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/105076","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A network analysis of household food sharing in Zambia","abstract":"Current and future food security are threatened by impending population growth, increasing demand for resource intensive foods, and climate change. Coping strategies at various scales have been proposed to help food security. One potential strategy is household sharing. Household sharing is an important part of current smallholder food systems. However, we do not currently understand the full social network of sharing in a village. To this end, we evaluate the full network structure of two villages in Zambia: one within biking distance to a food market on a tarmac road, the other within walking distance to a food market off a tarmac road. Both villages are fairly isolated and consist of roughly 50 households. The seasonal food, maize, livestock, non-food, and labor sharing practices from the agricultural year 2017-2018 are analyzed via household surveys. The general network properties of the villages are analyzed at an annual and seasonal time scale revealing seasonal fluctuations in sharing. The impact of a household’s network properties on its food consumption score (FCS) are studied to see how access to a sharing network impacts household food security. Our study shows that the presence of a household sharing network appears to have no statistically significant impact on household food security. Additionally, we show that the classic gravity model of trade is applicable at the household level, which means that prediction of household food sharing can be accomplished with household income and geographic distance variables. To our knowledge, this is the first study that determines the applicability of the gravity model of trade for this scale. These results highlight the important and efficient role that sharing may play in future food security strategies and indicate a powerful tool to predict household level food sharing.","abstract_html":"Current and future food security are threatened by impending population growth, increasing demand for resource intensive foods, and climate change. Coping strategies at various scales have been proposed to help food security. One potential strategy is household sharing. Household sharing is an important part of current smallholder food systems. However, we do not currently understand the full social network of sharing in a village. To this end, we evaluate the full network structure of two villages in Zambia: one within biking distance to a food market on a tarmac road, the other within walking distance to a food market off a tarmac road. Both villages are fairly isolated and consist of roughly 50 households. The seasonal food, maize, livestock, non-food, and labor sharing practices from the agricultural year 2017-2018 are analyzed via household surveys. The general network properties of the villages are analyzed at an annual and seasonal time scale revealing seasonal fluctuations in sharing. The impact of a household’s network properties on its food consumption score (FCS) are studied to see how access to a sharing network impacts household food security. Our study shows that the presence of a household sharing network appears to have no statistically significant impact on household food security. Additionally, we show that the classic gravity model of trade is applicable at the household level, which means that prediction of household food sharing can be accomplished with household income and geographic distance variables. To our knowledge, this is the first study that determines the applicability of the gravity model of trade for this scale. These results highlight the important and efficient role that sharing may play in future food security strategies and indicate a powerful tool to predict household level food sharing.","abstract_has_math":false,"creators":["von Gnechten, Rachel Marie"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Konar, Megan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-08-23T20:36:07Z","date_published":"2019-08-23T20:36:07Z","updated_at":"2026-07-22T22:24:44Z","subjects":["food sharing","sharing","household sharing","Zambia","food security","adaptation","Sub-Saharan Africa"],"languages":["en"],"rights":["Copyright 2019 Rachel von Gnechten"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/105076","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Konar, Megan"]},{"key":"dc:creator","label":"Author","values":["von Gnechten, Rachel Marie"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-08-23T20:36:07Z","2021-08-23T09:15:40Z","2019-04-23","2019-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["food sharing","sharing","household sharing","Zambia","food security","adaptation","Sub-Saharan Africa"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Rachel von Gnechten"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/105076"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Current and future food security are threatened by impending population growth, increasing demand for resource intensive foods, and climate change. Coping strategies at various scales have been proposed to help food security. One potential strategy is household sharing. Household sharing is an important part of current smallholder food systems. However, we do not currently understand the full social network of sharing in a village. To this end, we evaluate the full network structure of two villages in Zambia: one within biking distance to a food market on a tarmac road, the other within walking distance to a food market off a tarmac road. Both villages are fairly isolated and consist of roughly 50 households. The seasonal food, maize, livestock, non-food, and labor sharing practices from the agricultural year 2017-2018 are analyzed via household surveys. The general network properties of the villages are analyzed at an annual and seasonal time scale revealing seasonal fluctuations in sharing. The impact of a household’s network properties on its food consumption score (FCS) are studied to see how access to a sharing network impacts household food security. Our study shows that the presence of a household sharing network appears to have no statistically significant impact on household food security. Additionally, we show that the classic gravity model of trade is applicable at the household level, which means that prediction of household food sharing can be accomplished with household income and geographic distance variables. To our knowledge, this is the first study that determines the applicability of the gravity model of trade for this scale. These results highlight the important and efficient role that sharing may play in future food security strategies and indicate a powerful tool to predict household level food sharing.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01","The student, Rachel von Gnechten, accepted the attached license on 2019-04-23 at 10:38.","The student, Rachel von Gnechten, submitted this Thesis for approval on 2019-04-23 at 10:41.","This Thesis was approved for publication on 2019-04-23 at 11:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13836 on 2019-08-22 at 15:07:49","Made available in DSpace on 2019-08-23T20:36:07Z (GMT). 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Coping strategies at various scales have been proposed to help food security. One potential strategy is household sharing. Household sharing is an important part of current smallholder food systems. However, we do not currently understand the full social network of sharing in a village. To this end, we evaluate the full network structure of two villages in Zambia: one within biking distance to a food market on a tarmac road, the other within walking distance to a food market off a tarmac road. Both villages are fairly isolated and consist of roughly 50 households. The seasonal food, maize, livestock, non-food, and labor sharing practices from the agricultural year 2017-2018 are analyzed via household surveys. The general network properties of the villages are analyzed at an annual and seasonal time scale revealing seasonal fluctuations in sharing. The impact of a household’s network properties on its food consumption score (FCS) are studied to see how access to a sharing network impacts household food security. Our study shows that the presence of a household sharing network appears to have no statistically significant impact on household food security. Additionally, we show that the classic gravity model of trade is applicable at the household level, which means that prediction of household food sharing can be accomplished with household income and geographic distance variables. To our knowledge, this is the first study that determines the applicability of the gravity model of trade for this scale. These results highlight the important and efficient role that sharing may play in future food security strategies and indicate a powerful tool to predict household level food sharing.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01","The student, Rachel von Gnechten, accepted the attached license on 2019-04-23 at 10:38.","The student, Rachel von Gnechten, submitted this Thesis for approval on 2019-04-23 at 10:41.","This Thesis was approved for publication on 2019-04-23 at 11:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13836 on 2019-08-22 at 15:07:49","Made available in DSpace on 2019-08-23T20:36:07Z (GMT). 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