Food and nutrition security under global trade: a relation-driven agent-based global trade model. Issue 1 (13th January 2021)
- Record Type:
- Journal Article
- Title:
- Food and nutrition security under global trade: a relation-driven agent-based global trade model. Issue 1 (13th January 2021)
- Main Title:
- Food and nutrition security under global trade: a relation-driven agent-based global trade model
- Authors:
- Ge, Jiaqi
Polhill, J. Gareth
Macdiarmid, Jennie I.
Fitton, Nuala
Smith, Pete
Clark, Heather
Dawson, Terry
Aphale, Mukta - Abstract:
- Abstract : This paper addresses the highly relevant and timely issues of global trade and food security by developing an empirically grounded, relation-driven agent-based global trade model. Contrary to most price-driven trade models in the literature, the relation-driven agent-based global trade model focuses on the role of relational factors such as trust, familiarity, trade history and conflicts in countries' trade behaviour. Moreover, the global trade model is linked to a comprehensive nutrition formula to investigate the impact of trade on food and nutrition security, including macro and micronutrients. Preliminary results show that global trade improves the food and nutrition security of countries in Africa, Asia and Latin America. Trade also promotes a healthier and more balanced diet, as countries have access to an increased variety of food. The effect of trade in enhancing nutrition security, with an adequate supply of macro and micronutrients, is universal across nutrients and countries. As researchers call for a holistic and multifactorial approach to food security and climate change (Hammond and Dubé 2012 Proc. Natl Acad. Sci. USA 109, 12 356–12 363. (doi:10.1073/pnas.0913003109 )), the paper is one of the first to develop an integrated framework that consists of socio-economic, geopolitical, nutrition, environmental and agri-food systems to tackle these global challenges. Given the ongoing events of Brexit, the US–China trade war and the global COVID-19Abstract : This paper addresses the highly relevant and timely issues of global trade and food security by developing an empirically grounded, relation-driven agent-based global trade model. Contrary to most price-driven trade models in the literature, the relation-driven agent-based global trade model focuses on the role of relational factors such as trust, familiarity, trade history and conflicts in countries' trade behaviour. Moreover, the global trade model is linked to a comprehensive nutrition formula to investigate the impact of trade on food and nutrition security, including macro and micronutrients. Preliminary results show that global trade improves the food and nutrition security of countries in Africa, Asia and Latin America. Trade also promotes a healthier and more balanced diet, as countries have access to an increased variety of food. The effect of trade in enhancing nutrition security, with an adequate supply of macro and micronutrients, is universal across nutrients and countries. As researchers call for a holistic and multifactorial approach to food security and climate change (Hammond and Dubé 2012 Proc. Natl Acad. Sci. USA 109, 12 356–12 363. (doi:10.1073/pnas.0913003109 )), the paper is one of the first to develop an integrated framework that consists of socio-economic, geopolitical, nutrition, environmental and agri-food systems to tackle these global challenges. Given the ongoing events of Brexit, the US–China trade war and the global COVID-19 pandemic, the paper will provide valuable insights on the role of trade in improving the food and nutrition security across countries. … (more)
- Is Part Of:
- Royal Society open science. Volume 8:Issue 1(2021)
- Journal:
- Royal Society open science
- Issue:
- Volume 8:Issue 1(2021)
- Issue Display:
- Volume 8, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 8
- Issue:
- 1
- Issue Sort Value:
- 2021-0008-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01-13
- Subjects:
- global trade -- relation-driven trade -- food security -- micronutrients -- agent-based model
Science -- Periodicals
500 - Journal URLs:
- https://royalsocietypublishing.org/journal/rsos ↗
- DOI:
- 10.1098/rsos.201587 ↗
- Languages:
- English
- ISSNs:
- 2054-5703
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 20285.xml