TY - JOUR
T1 - Evaluating the energy-water-food nexus in Qatar
T2 - Balancing crop imports and local production
AU - Shannak, Sa’d
AU - Jovanovic, Raka
AU - Sanfilippo, Antonio
AU - Namany, Sarah
AU - Kafi, Abdellah
AU - Al-Ansari, Tareq
N1 - Publisher Copyright:
Copyright © 2025. Published by Elsevier Ltd.
PY - 2025/12
Y1 - 2025/12
N2 - Agriculture accounts for approximately 70 % of the global water demand and 30 % of the global energy demand. Finding an optimal balance in the provi- sion of food through imports or local production is therefore crucial in secur- ing energy and water sustainability. The literature on this subject has mostly focused on either local production or import strategies, and there is a need to integrate these elements into a unified framework. We address this need by developing a novel mathematical model that performs a nuanced analysis of self-sufficiency rates, price differentials, and import patterns through the integration of economic, environmental, and policy constraints. The ensu- ing analysis offers an evaluation of energy and water sustainability in the light of trade-offs between food imports vs. local production. Considering factors such as the energy required for water pumping in local crop produc- tion and the water footprint in the importing countries, the model elucidates the water and energy demands associated food imports and local production evaluating trade-offs between local production and imports. Results reveal that in scenarios with three import partners, the optimal distributions are consistently 40 %, 30 %, and 30 % when minimizing cost based on 2022 prices. However, with more import partners, distribution becomes price-dependent, indicating a need for enhanced government coordination and a more holistic approach to balancing local production and imports that accounts for energy and water resource constraints.
AB - Agriculture accounts for approximately 70 % of the global water demand and 30 % of the global energy demand. Finding an optimal balance in the provi- sion of food through imports or local production is therefore crucial in secur- ing energy and water sustainability. The literature on this subject has mostly focused on either local production or import strategies, and there is a need to integrate these elements into a unified framework. We address this need by developing a novel mathematical model that performs a nuanced analysis of self-sufficiency rates, price differentials, and import patterns through the integration of economic, environmental, and policy constraints. The ensu- ing analysis offers an evaluation of energy and water sustainability in the light of trade-offs between food imports vs. local production. Considering factors such as the energy required for water pumping in local crop produc- tion and the water footprint in the importing countries, the model elucidates the water and energy demands associated food imports and local production evaluating trade-offs between local production and imports. Results reveal that in scenarios with three import partners, the optimal distributions are consistently 40 %, 30 %, and 30 % when minimizing cost based on 2022 prices. However, with more import partners, distribution becomes price-dependent, indicating a need for enhanced government coordination and a more holistic approach to balancing local production and imports that accounts for energy and water resource constraints.
KW - Food Security
KW - Import optimization
KW - Mathematical modeling
KW - Mixed integer programming model
KW - Water and energy sustainability
UR - https://www.scopus.com/pages/publications/105022157942
U2 - 10.1016/j.nexus.2025.100568
DO - 10.1016/j.nexus.2025.100568
M3 - Article
AN - SCOPUS:105022157942
SN - 2772-4271
VL - 20
JO - Energy Nexus
JF - Energy Nexus
M1 - 100568
ER -