Evidence map›Paper›PMID 41680386›Full record

ArticleScientific reports2026

The effects of climate change water dependency and policy solutions on food security in Egypt.

Faten Derouez, Adel Ifa, Mahmaod Alrawad, Mohammad Zayed

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Faten DerouezDepartment of Quantitative Method, College of Business Administration, King Faisal University, Al-Ahsa, Saudi Arabia.
Adel IfaFaculty of Economics and Management of Mahdia, University of Monastir, Monastir, Tunisia.
Mahmaod AlrawadDepartment of Quantitative Method, College of Business Administration, King Faisal University, Al-Ahsa, Saudi Arabia. malrawad@kfu.edu.sa.
Mohammad ZayedDepartment of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

Funding

Deanship of Scientific Research, King Faisal University KFU260135
6 · The paper itself

Abstract

This study investigates the dynamic relationships between Egypt's Food Security Indicator and climate change, political stability, renewable energy use, population growth, share of water from the Nile River, and agricultural productivity from 1990 to 2023. Employing Autoregressive Distributed Lag (ARDL) and Vector Error Correction Model (VECM) frameworks, Strong persistence in food security, immediate negative consequences of climate change, and notable positive contributions from renewable energy and agricultural production are all evident in short-term results. While Nile water reliance is advantageous in the short term, population increase puts negative pressure. Over time, food security is negatively impacted by climate change and reliance on Nile water (caused by systemic inefficiencies), although agricultural productivity and renewable energy continue to be significant positive drivers. Granger causality shows that there are reciprocal relationships between food security, agricultural production, and renewable energy. Accelerating the adoption of renewable energy, improving climate-resilient agriculture, restructuring Nile water administration to address inefficiencies and over-extraction, increasing agricultural productivity, and combining population management with resource allocation are among the policy priorities.

Indexed as

Climate ChangeFood SecurityModels, EconometricPublic PolicyWater SupplyAgricultureEgyptPolitical SystemsRenewable EnergyRiversARDLClimate changeEgyptFood security indicatorRenewable energyShare of water from the Nile RiverVECM

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.