A gravity model and network analysis of household food sharing in Zambia. (20th November 2020)

• Record Type: Journal Article
• Authors: von Gnechten, Rachel; Wang, Junren; Konar, Megan; Baylis, Kathy; Anderson, Patrese; Giroux, Stacey; Jackson, Nicole D; Evans, Thomas
• Is Part Of: Environmental research letters. Volume 15:Number 11(2020:Nov.)
• Publication Date: 2020-11-20
• Subjects: household sharing -- smallholders -- rainfed agriculture -- food networks -- gravity model -- Zambia; Environmental sciences -- Periodicals; Human ecology -- Research -- Periodicals; Environmental health -- Periodicals; 333.7
• DOI: 10.1088/1748-9326/abbe44
• Languages: English
• ISSNs: 1748-9326

Abstract

Abstract: Food sharing is an important part of smallholder food systems and can help households to buffer food security shocks. Household food sharing is the smallest scale food exchange system, yet we do not understand how it compares with food exchange networks at other spatial scales. To this end, we collect information on bilateral household food sharing in two villages in Zambia with approximately 50 households each. We observed seasonal fluctuations for the density of the food sharing. To our knowledge, we are the first to show that the gravity model of trade is applicable to household food sharing. Additionally, sharing networks exhibit the same statistical properties as food exchanges in other locations and at different spatial scales. Specifically, maize exchanges (in mass) follow the Gamma distribution and the relationship between household mass flux and connectivity follows a power law distribution. This work sheds light on household food sharing in rainfed agricultural systems and suggests common underlying mechanisms of food exchange systems across spatial scales and geographies.