Abstract
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.
| Original language | English |
|---|---|
| Article number | 100568 |
| Journal | Energy Nexus |
| Volume | 20 |
| DOIs | |
| Publication status | Published - Dec 2025 |
Keywords
- Food Security
- Import optimization
- Mathematical modeling
- Mixed integer programming model
- Water and energy sustainability
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