Next Article in Journal
Quantifying and Mapping Biomass Resources in Ireland: A Holistic Assessment of Primary and Secondary Feedstocks
Previous Article in Journal
Climate Trends and Future Scenarios in Afghanistan: Implications for Greenhouse Gas Emissions, Renewable Energy Potential, and Sustainable Development
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Impact of Energy Price Fluctuations on Food Security: Empirical Evidence from Egypt and KSA Using RCGE Model

by
Yosri Nasr Ahmed
1,
Naglaa Ahmed Mohamed Abdelrahman
1,
Saleh Farouk Nasr
2,
Jawaher Binsuwadan
3,* and
Taghreed Hassouba
4
1
Department of Agricultural Economics, Faculty of Agriculture, Cairo University, Cairo 12613, Egypt
2
Institute of Environmental Studies, Arish University, Sinai 45511, Egypt
3
Department of Economics, College of Business Administration, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
4
Department of Economics, Faculty of Economics and Political Sciences, Cairo University, Cairo 12613, Egypt
*
Author to whom correspondence should be addressed.
Energies 2026, 19(4), 1066; https://doi.org/10.3390/en19041066
Submission received: 23 January 2026 / Revised: 15 February 2026 / Accepted: 17 February 2026 / Published: 19 February 2026

Abstract

Oil prices have always been considered critical determinants of economic stability and food security in oil-dependent economies. Several studies have examined the existence, direction, strength, and predictability of the relationship between oil price and agricultural commodities. However, prior studies have not explicitly examined the interlinkages between oil prices and food security at both macroeconomic and microeconomic levels, particularly for Egypt and Saudi Arabia, which differ fundamentally as a net oil-importing and a major oil-exporting economy, respectively. This study employs a multi-sectoral, multi-country regional computable general equilibrium model specifically designed to simulate the effects of global oil and natural gas price increases in both Egypt and Saudi Arabia. The results reveal marked asymmetries in the magnitude and direction of impacts across the two countries. Egypt is negatively affected by its status as a net importer of petroleum products, leading to an increase in costs and adversely affecting the overall economy. In contrast, Saudi Arabia experiences net positive macroeconomic effects, benefiting from increased oil revenues as an exporting country. Overall, the gains realized by Saudi Arabia substantially exceed the losses incurred by Egypt, underscoring the differences between the exporting and importing countries. Therefore, this study recommends that policymakers respond swiftly and effectively to limit volatility in agricultural production and food prices and to safeguard food security outcomes. Moreover, the study highlights avenues for future research, including the role of renewable energy transitions and subsidy reforms, to further enhance the policy relevance of energy–food security analyses.

1. Introduction

Oil price volatility has long been recognized as a critical determinant of macroeconomic stability in both energy-exporting and energy-importing economies. Furthermore, oil price volatility substantially impacts the economic and financial activities of commodity importers, exporters, and speculators [1]. In particular, it influences aggregate demand and production inputs, inducing higher levels of inflation and, consequently, interest rates in oil-importing countries [2], e.g., as Egypt, which is simultaneously a net food importer. In oil-exporting economies, oil prices have basic effects on economic stability and output growth [3]. Emerging economies are particularly vulnerable to oil shocks, which produce severe macroeconomic imbalances [4]. Fluctuations in oil and natural gas prices are transmitted through multiple economic channels, influencing production costs, inflation dynamics, fiscal balances, and external accounts. In recent years, successive global shocks—including the post-COVID-19 economic recovery and heightened geopolitical tensions—have intensified energy price volatility, renewing concerns about its broader implications for food security, particularly in economies structurally dependent on food and energy imports. Oil price fluctuations have a multidimensional impact on food security by reducing affordability, availability, and access to food prices [5,6].
As defined by FAO, food security is known as “access to adequate, safe, and nutritious food that meets all people’s food preferences and dietary needs at all times, allowing them to lead an active and healthy life”. Food security comprises four dimensions: availability, access, utilization, and stability. Many food security theories have enriched the theoretical foundation. The theoretical foundation has been enhanced by various theories related to food security. Some of these are relevant to the study’s demonstration, namely the Food Availability Decline (FAD) theory, which shows that food insecurity is mostly caused by a loss in food availability, which results in insufficient food to support the growing population [7]. Food Entitlement Decline (FED) theory focuses on the demand side of food security, namely food accessibility, implying that income influences a consumer’s ability to receive food. Consequently, income plays a critical role in addressing issues of malnutrition and hunger. In addition to income, food price is another important determinant of food security [7,8,9]. Finally, the theory of Rights-Based Approaches (RBA) emphasises the close link between beneficial governance, poverty reduction, and livelihood security [10,11]. Hence, Economic theory suggests that energy price shocks can undermine food security by increasing agricultural input costs, raising transport and processing expenses, reducing household purchasing power, and altering government fiscal capacity [7,8,9]. These effects are especially pronounced in developing and emerging economies, where food systems are highly sensitive to external price shocks and policy space is often constrained.
The transmission mechanism linking energy prices to food security operates through both direct and indirect channels. Directly, higher oil prices increase the cost of fertilisers, irrigation, mechanisation, food processing, and transport. Indirectly, energy price shocks affect exchange rates, government budgets, income distribution, and trade balances, thereby shaping food availability and accessibility. Prior empirical work has identified several dominant transmission pathways, including transport costs, biofuel demand, and input price pass-through, while highlighting the role of institutional and policy frameworks in moderating these effects [11,12].
In this regard, the Food Costs Watch (FPW), in 2015, assured that energy costs have a significant influence on fertilizer prices and other agricultural production inputs. Thus, there are three plausible transmission mechanisms for establishing a causal relationship between oil prices and food prices in the seminal work of Dillon and Barrett [11]. Essentially, oil prices influence food prices through various channels, including transportation, the biofuel sector, and other production costs, particularly fertilisers. Additionally, other transmission mechanisms such as exchange rates, market speculation, governance rules, and government policy complicate the relationship between food and oil prices [12].
In practical economic terms, recent global energy price shocks have exposed the vulnerability of food systems to energy market volatility, particularly in countries with contrasting energy endowments. The sharp increase in global oil and natural gas prices following the post-COVID-19 economic recovery and subsequent geopolitical tensions has translated into higher fertilizer prices, increased transportation costs, and rising food import bills worldwide. In Egypt, where food imports—especially wheat—are heavily subsidized and energy constitutes a major input into irrigation, fertilizer production, and food transportation, rising energy prices have intensified fiscal pressures, contributed to domestic food inflation, and constrained household purchasing power [11,13,14]. Conversely, in Saudi Arabia, higher energy prices have generated substantial fiscal revenues and foreign exchange inflows, allowing the government to cushion domestic food markets through increased spending, strategic reserves, and import capacity [15,16]. These contrasting real-world experiences underscore the existence of an asymmetric transmission mechanism through which energy price shocks affect food security in net-importing versus net-exporting countries. Energy price shocks not only influence food prices directly through production and transportation costs, but also indirectly through income effects, government budgets, trade balances, and production incentives, all of which are central to the availability and accessibility pillars of food security [7,8,9].
In the specific context of Saudi Arabia and Egypt, in Saudi Arabia, the transmission of energy price fluctuations to food security primarily operates through the fiscal and income channels, as higher energy prices increase government revenues and enhance the state’s capacity to finance food subsidies and strategic reserves [17]. Moreover, energy price dynamics shape domestic cost structures in energy-intensive agricultural activities such as irrigation and desalination, linking oil market conditions to food production costs [18]. From a broader macroeconomic perspective, oil price shocks in energy-exporting economies affect income distribution and demand conditions, which indirectly influence food security outcomes [19]. In contrast, Egypt, as a net energy-importing country, experiences a cost-push transmission mechanism whereby increases in energy prices raise food production, transportation, and fertilizer costs, resulting in higher domestic food inflation [20]. These effects are further amplified through exchange-rate pressures and imported inflation, reducing food affordability and access, particularly for vulnerable households [21]. In addition, global energy and commodity price shocks exacerbate macroeconomic imbalances in food-importing economies, reinforcing the adverse impact on food security [22].
Previous research examining the interlinkages between food security and energy price volatility can be classified into three groups. First, researchers examined the influence at the macroeconomic level and empirically proved the positive causal relationship between the two variables, such as Khan, et al. [23] and Borrallo, et al. [24]. In contrast, some studies have suggested a negative relationship between oil and food prices, pioneered by Chen, et al. [25] and Demirtaş, et al. [26]. Another strand of the literature shows very little support for the relationship between the two variables [2,27]. Second, regarding the microeconomic-level impact, some researchers have examined and supported the short- and/or long-term causal relationships between oil prices and food commodities [28,29,30,31]. Second, regarding the microeconomic-level impact, some researchers have examined and approved the short-and/or long-term causality relationships between oil prices and food commodities [28,29,30,31]. Certain research stressed the link between oil prices and agricultural commodities utilized in biodiesel and bioethanol production Koirala, et al. [32] and Zafeiriou, et al. [33] confirmed the positive significant relationship. A limited number of prior studies, introduced by Onour [34], Fowowe [35] and Baumeister and Kilian [36], have suggested that oil price shocks have a relatively negligible effect on agricultural commodity markets. Third, research addressing the interlinkages between oil and food prices at both macroeconomic and microeconomic levels includes studies by Arndt, et al. [37] and Sun, et al. [38].
Empirical studies investigating the energy–food nexus have produced mixed results. At the macroeconomic level, a substantial body of literature finds a positive relationship between energy prices and food inflation, though the magnitude and persistence of the effect vary across countries [13,23,24]. At the microeconomic level, numerous studies document short- and long-run linkages between oil prices and specific agricultural commodities, particularly those that are energy-intensive or used in biofuel production [28,29,30,31,32,33]. However, most existing research focuses either on aggregate price indices or on selected commodities, often relying on partial equilibrium or reduced-form econometric techniques.
Critically, limited attention has been given to assessing the combined macroeconomic and microeconomic effects of energy price volatility on food security within a unified analytical framework. This gap is particularly evident in comparative studies of net energy-importing and net energy-exporting countries, where identical energy price shocks may generate asymmetric welfare, production, and food security outcomes. Egypt and Saudi Arabia provide a compelling contrast in this regard. Egypt is a net importer of energy and staple foods, with food subsidies playing a central role in social stability, rendering it highly vulnerable to external price shocks. Saudi Arabia, by contrast, is a major energy exporter with substantial fiscal buffers, enabling it to offset adverse food security impacts through public spending, strategic reserves, and import capacity. Despite the policy relevance of this asymmetry, no prior study has systematically examined the transmission of energy price shocks to food security in both Egypt and Saudi Arabia at the macroeconomic and microeconomic levels simultaneously. Addressing this gap, the present study employs a multi-sectoral, multi-country regional computable general equilibrium (RCGE) model to quantify the effects of projected oil and natural gas price increases on key macroeconomic indicators and disaggregated agricultural and food sectors in both countries. By integrating production, income, trade, and consumption adjustments within a general equilibrium framework, this study provides a consistent assessment of how energy price volatility differentially affects food availability and accessibility in energy-importing and energy-exporting economies.
This paper is structured as follows: Section 2 reviews previous research. Section 3 presents an overview of the interlinkages between oil prices and food security in Egypt and Saudi Arabia. Section 4 present the employed methodology, and Section 5 display the empirical findings. Section 6 presents the discussion of the results. Finally, Section 7 concludes the study, outlines the policy implications and study limitations.

2. Literature Review

This section reviews the empirical literature on the relationship between energy price fluctuations and food security, with a particular focus on oil prices. Existing studies largely agree that energy and food markets are interconnected, although the magnitude, direction, and transmission mechanisms of this relationship vary across countries and methodological approaches. The literature can be broadly classified into three complementary strands: macro-level analyses, micro-level commodity-based studies, and a limited body of work integrating both macroeconomic and sectoral perspectives.

2.1. The Interlinkages Between Energy Oil Prices and Food Security on a Macro Level

Recent fluctuations in local food prices and crude oil prices worldwide have attracted the interest of scholars and policymakers. At the macroeconomic level, most studies focus on identifying aggregate transmission mechanisms rather than individual commodity responses. This body of work is built on the notion that oil prices positively impact food costs in general rather than just a specific group of commodities. There is an intrinsic strand of literature that focuses on the positive interlinkages between these two main variables.
Based on both Granger causality and Engle-Granger cointegration tests, Khan, Raees and Baig [23] discovered that energy costs can impact food prices over time, establishing a long-term relationship between the two variables. This evidence highlights delayed pass-through effects, suggesting that oil price shocks affect food markets indirectly through cost and demand channels rather than instant price adjustments Köse and Ünal [39] used the SVAR model to examine the effects of temperature, oil prices, and prices in Latin America. According to their findings, energy costs, monetary and fiscal policies, and other factors are important for controlling food inflation in the region. Moreover, Borrallo, Cuadro-Sáez, Gras-Miralles and Perez [24] found asymmetric effects, where increases in food and energy prices significantly raise consumer food inflation, while price decreases have weaker effects. Utilizing the Nonlinear Autoregressive Distributed Lag (NARDL) approach in Saudi Arabia, Darwez, Alharbi, Ifa, Bayomei, Mostfa and Alrawad [15] findings were comparable, as they found that oil shocks impacted food prices through several mechanisms. These include rising agricultural input costs, biofuel-related demand pressures, and fiscal transmission effects in oil-dependent economies. As a result, food prices respond not only to production cost changes but also to broader macroeconomic adjustments linked to oil revenues and public spending. Therefore, Saudi Arabia should implement appropriate policies to mitigate these effects.
The objective of Shokoohi and Saghaian [13] was to differentiate the impact between types of countries, showing that oil-importing and oil-exporting economies experience fundamentally different food price responses to oil price shocks. Alieva [40] similarly confirmed positive long-run relationships in Middle Eastern countries, while highlighting that short-run effects vary depending on national price controls and subsidy regimes. Owing to theoretical navigation, IC and GC [41] argue that oil prices influence food price volatility through production, transportation, and processing costs. Baimaganbetov, Kelesbayev, Baibosynova, Yermankulova and Dandayeva [16] obtained similar results when they applied statistical methods to Kazakhstan between 2004 and 2019.
In the Egyptian context, Abo Hatab and Ryad [14] quantified the asymmetric impact of global oil prices on domestic food prices. Their findings reinforce the presence of sluggish transmission mechanisms, where rising oil prices pass through more rapidly than declining prices. This asymmetry highlights structural rigidities in food markets and has important implications for food affordability and social stability. Some other scholars explored negative interlinkages between oil prices and food prices. Demirtaş, Soyu Yıldırım and Dur [26] found that the price of oil had a negative explanatory power on the price of food, confirming that the CPI is a good indicator of both present and future food price levels. These mixed macro-level findings suggest that aggregate analyses alone may be insufficient to fully capture the complexity of food security dynamics. Additionally, Chen, Gummi, Lu and Mu’azu [25] noted that the impact of oil prices on food prices in both high- and low-income oil-exporting countries could cause empirical conclusions to diverge, depending on their income levels. As determined the relationship appears to be inverse in the long run in high-income countries, but these results are different in low-income countries, considering that food and oil prices co-move over time.
A very limited room of literature discovered very little support for the relationship between oil and food prices, Kilian and Zhou [2] demonstrate that the positive impact of the oil price upsurge on inflation has been exaggerated. Baumeister and Kilian [27] further argue that oil price shocks may not generate durable food inflation, as both markets often respond to common macroeconomic forces.

2.2. The Interconnections Between Energy Oil Prices and Food Security on a Micro Level

Several studies in different countries/regions have employed various methodologies to examine the existence, direction, strength, and predictability of the relationship between oil prices and agricultural commodities in terms of price and/or production costs in the long and short term. The two main pillars of food security, availability and accessibility were represented through the relative changes in quantities of production, food prices, and agricultural costs of production. Emphasizing the concrete link and the growing integration between the previously mentioned indicators and food security.
Examining the long- and short-term causal relationships between oil prices and food commodities, Ebadi, Balcilar and Are [31] showed asymmetric oil price effects across key agricultural commodities, while Nadia, Hazem and Dana [30] highlighted strong correlations between oil prices and food trade dynamics. Several studies confirm long-run cointegration between crude oil and grain prices. Salles, Novo and Reis [29] confirmed the cointegration and long-run relationship between crude oil and the prices of various grain commodities—rice, wheat, corn, and soybean— using VECM and impulse response functions. Adeosun, et al. [42] utilized Granger causality tests, indicating a two-dimensional causal relationship between the prices of crude oil and selected food commodities, except for wheat and soybeans, which only refer to a unilateral relationship between wheat and soybeans and crude oil, but not vice versa.
Others emphasize short-run volatility effects driven by oil price fluctuations. Eissa and Al Refai [43] demonstrated a long-run co-movement of barley, corn, and rapeseed oil with oil prices observed exclusively when non-linear ARDL models were substituted for linear ARDL models. Rafiq and Bloch [44] investigated the relationship between oil prices and 25 agricultural and non-agricultural commodity clusters In the long term, a positive shock in oil prices raises the prices of at least 20 commodities. In the short term, decreases in oil prices significantly affect commodities prices. Nwoko, et al. [45] obtained price volatility for maize, rice, sorghum, soybean, and wheat using the GARCH model. Overall, micro-level evidence demonstrates that oil price shocks influence food markets unevenly, depending on commodity characteristics, energy intensity, and market structure.
Biofuel-related studies further show that oil prices significantly affect agricultural commodities used in biodiesel and bioethanol production. Zafeiriou, Arabatzis, Karanikola, Tampakis and Tsiantikoudis [33] confirmed that crude oil prices affect the prices of the agricultural products used to produce biodiesel and ethanol. Additionally, [32] confirmed the significant positive relationship between oil prices and renewable fuel agricultural commodities, corn and soybean, in the United States using copula modelling. Dillon and Barrett [11] argue that oil prices mainly affect food prices through transportation costs rather than production channels in East Africa. However, several studies report weak or negligible effects. Fowowe [35], Baumeister and Kilian [36], and Onour [34] find limited evidence of long-run relationships between oil prices and food commodities. These findings suggest that micro-level analyses may overlook economy-wide feedback mechanisms that influence food security outcomes.

2.3. The Interlinkages Between Energy Oil Prices and Food Security on a Combined Level

It is worth highlighting that little effort has been dedicated to investigating the influence of oil prices on food prices at both aggregate and disaggregate levels. For instance, Diab and Karaki [46] and Sun, Gao, Raza, Shah and Sharif [38] demonstrate that fuel price shocks simultaneously affect aggregate food inflation and specific food items, particularly during extreme market conditions. CGE-based evidence from Mozambique shows that fuel price shocks influence food prices, poverty, and welfare outcomes through interconnected production and consumption channels [37].
Despite these contributions, no previous study has employed a RCGE framework to jointly examine oil price volatility and food security at both macroeconomic and sectoral levels for Egypt and Saudi Arabia within a single empirical setting. This gap is particularly relevant given the contrasting energy profiles of the two countries. Accordingly, the present study contributes by applying an RCGE model to evaluate the influence on certain agricultural and food commodities, given that the study period was extended to make projections for both countries up to 2029.

3. Overview Analysis of the Interlinkages Between Oil Prices and Food Security in the Context of Egypt and Saudi Arabia

Building on the extensive empirical literature that highlights the complex and multidimensional linkages between energy price volatility and food security at both macroeconomic and microeconomic levels, this study contributes to the discourse by examining the potential interlinkages in the context of these two structurally distinct yet economically pivotal Middle Eastern countries: Egypt and Saudi Arabia.
The reviewed literature indicates that the dynamics and magnitude of the oil–food price nexus are not consistent; rather, they fluctuate based on each country’s economic structure, degree of agricultural self-sufficiency, and level of integration with global commodity markets. Considering the ranking and performance of each nation in the Global Food Security Index (GFSI) (this section provides a concise comparative analysis of the agricultural sectors and food security frameworks in both countries, laying the foundation for scenario-based simulations using an RCGE model), these structural differences offer a valuable analytical lens for assessing the asymmetric effects of global oil price volatility on food security outcomes. The previous discussion of prior studies highlights the importance of examining specific details in both contexts to achieve the primary objective of this paper. Additionally, it is essential to consider the composition and indicators of the agricultural sector in each country, as well as the dimensions and current status of food security in those nations. This section provides a concise comparative analysis of the agricultural sectors and food security frameworks in both countries, laying the foundation for scenario-based simulations using the RCGE model.

3.1. The Agriculture Sector

The agricultural sector is a major component of the Egyptian economy, especially in a socioeconomic context. It produces approximately 40% of the Egyptian population’s food needs and provides a livelihood for the rural population, representing approximately 57% of the total population. The agricultural labour force consists of approximately 5.2 million workers, accounting for almost 19.2% of the total employment and labour force. Agriculture contributes nearly 11.6% of the Gross Domestic Product (GDP) in 2023. The agricultural (fresh) and food exports altogether amount to USD 8.7 billion, constituting about 20.7% of total exports in 2023. The total agricultural land in Egypt amounts to nearly 9.7 million feddans (4.1 million ha) and accounts for around 4.1% of the total area [47].
On the other hand, the agricultural sector in Saudi Arabia contributes only 2.5% of the GDP [48], and agricultural product exports are worth USD 5 billion, accounting for 1.6% of total merchandise exports. In the same period, agricultural product imports amounted to USD 27.6 billion, which comprised 13.1% of total merchandise imports in 2023.
The total agricultural land in Saudi Arabia amounts is nearly 14 million feddans (5.7 million ha), constituting approximately 3% of the country’s total area. This land supports the rural population, which makes up around 15% of the overall population. The agricultural labour force comprises approximately 335 thousand workers, accounting for almost 3% of the total employment and labour force [22]. Saudi Arabia is one of the world’s top oil producers and has the second largest oil reserves. Oil accounted for 40.5% of Saudi Arabia’s GDP in 2022, services accounted for 28%, manufacturing for 15.1%, other activities for 13.9%, and agriculture for 2.5%. In addition to its significant share of the Saudi GDP, oil represents 80% of its budget revenue and 90% of its export earnings.

3.2. The Food Security Indicator

Food security indicators are organised into four categories (affordability, availability, quality/safety, sustainability, and adaptation). The Global Food Security Index (GFSI) of Egypt (56 points) took the 77th place in the overall ranking among 113 countries in 2022. Each of the four categories ranked 66th, 73rd, 101st, and 51st with 65.2 points, 54.2 points, 45.9 points, and 55.8 points, respectively. The food security performance of Saudi Arabia (41st year) will be better than that of Egypt (77th year) in 2022. Each of the four categories ranked 40th, 23rd, 49th, and 57th, with 83.2, 67.2, 71.6, and 53.7 points, respectively (see Figure 1 and Figure 2).
Saudi Arabia demonstratesvarying levels of self-sufficiency across food categories: 87% for vegetables, 43% for fruits, 61% for red meat, 71% for poultry, and 48% for fish. In contrast, the self-sufficiency rate for wheat remains low at 22.3%, necessitating the import of approximately 4.6 million tons in 2023. Overall, food imports constitute 24% of the kingdom’s total imports [48].
Similarly, Egypt has remained a net importer of agricultural commodities. It ranked as the fourth-largest wheat importer globally, with a self-sufficiency rate of approximately 46% and total wheat imports amounting to 9.2 million tons [50]. Heat is highly sensitive to fluctuations in international prices, rendering both countries vulnerable to global market volatility.
The disparity between the two countries has become more apparent in the energy sector. About 77.3% of Saudi Arabia’s total exports are oil, while Egypt imports more energy than it exports. Consequently, rising global energy prices have asymmetric effects on national budgets, contributing to fiscal surpluses in energy-exporting countries, and exacerbating budget deficits in importing nations. This divergence poses increasing challenges for net importers, such as Egypt, where higher energy costs translate into elevated import bills for critical food commodities. Given these dynamics, the following section examines the potential implications and scenarios of rising global energy prices for food security in both Saudi and Egyptian economies.

4. Methodology

The present study aims to quantify the economy-wide effects of projected oil and natural gas price increases on key macroeconomic indicators in Egypt and Saudi Arabia using RCGE model. Computable General Equilibrium (CGE) models is applied and it widely employed in economic policy analysis to assess the economy-wide implications of policy interventions and exogenous shocks. Since the early 1980s, their application has expanded across both developing and developed economies, and they are now extensively used by universities, research institutions, and governments for policy formulation and evaluation. CGE models are grounded in microeconomic foundations and capture the interactions among economic agents (households, firms, government, investors, and the rest of the world) and markets (commodity and factor markets), ensuring consistency between micro-level behavior and macroeconomic outcomes. The circular flow of income and expenditure among these agents and markets—illustrated in Figure 3—constitutes the conceptual foundation of CGE/RCGE modeling frameworks. Depending on the temporal structure of the analysis, CGE frameworks may be specified as static, recursive-dynamic, or fully dynamic models.

4.1. Model Structure and Data

This study employs a multi-sectoral, multi-country Regional Computable General Equilibrium (RCGE) model to simulate the macroeconomic and sectoral impacts of increases in global oil and natural gas prices on Egypt and Saudi Arabia. The model is calibrated using the Global Trade Analysis Project (GTAP) Data Base, Version 10, which provides a comprehensive and internally consistent representation of the global economy based on harmonized national input–output tables, reconciled bilateral trade flows, transport margins, and detailed tax and subsidy structures. The database distinguishes 65 production sectors and 141 regions/countries, enabling a detailed representation of agriculture, manufacturing, services, and energy-related activities [52].
The RCGE framework follows the standard GTAP model structure. Producers maximize profits subject to nested constant elasticity of substitution (CES) technologies, while households maximize utility subject to income constraints. International trade is modeled using the Armington assumption, which differentiates domestic and imported goods by region of origin. Market equilibrium is ensured through price adjustments that clear commodity and factor markets, while the government and foreign sectors are explicitly represented to maintain macroeconomic consistency.

4.2. Model Calibration and Macroeconomic Closure

The model is calibrated to the GTAP 10 benchmark equilibrium, ensuring that the base-year solution exactly reproduces observed production, consumption, trade flows, and factor use. The macroeconomic closure assumes that investment is savings-driven, government expenditure is fixed in real terms, and the current account balance is exogenously determined, allowing the real exchange rate to adjust endogenously. Capital is assumed to be mobile across sectors within each region in the medium run, while labor is mobile across sectors but fixed in aggregate supply. These assumptions enable the model to capture economy-wide reallocation effects arising from energy price shocks.

4.3. Policy Scenario

The study scenario addresses the economic simulation of the impact of rising oil and natural gas prices on global markets. This scenario is based on forecasts by the Energy Information Administration (EIA). The latest estimates indicate an increase in oil and natural gas prices of more than 5.3% and 10% each, respectively, by 2029. This scenario aims to estimate the impact of the anticipated increase in global oil and gas prices on both Saudi and Egyptian economies, considering the structural differences between the two countries in terms of their positions in the global energy market.
In a related context, Saudi Arabia, as a net exporter of oil, is likely to benefit from higher oil prices. This will boost government revenues and improve the economy in the short term, especially in the oil and gas sectors. In addition, this increase will provide greater space for implementing large-scale development projects that support Vision 2030. This increase may impact non-oil sectors, which might encounter difficulties due to rising global energy prices. The agricultural sector is among these.
On the other hand, the rise in oil prices negatively affects Egypt, a net oil importer that has recently discovered natural gas reserves, placing it on the map of natural gas-producing and exporting countries. The increase in energy prices will lead to higher import costs, putting pressure on foreign reserves and contributing to a widening current account deficit. Inflation levels and citizens’ purchasing power are also likely to be affected, which in turn will impact energy-dependent economic sectors such as energy-intensive industries. However, an increase in natural gas prices has a positive effect on economic performance. Thus, this study aims to estimate the conflicting impact of rising oil and natural gas prices in Egypt and simultaneously assess the potential effects on the Saudi economy.
The relationship between energy price fluctuations and food security is a complex web of direct and indirect pressures. When energy costs rise, the impact ripples through the agricultural supply chain, immediately increasing the cost of fossil-fuel-dependent inputs like fertilizers and pesticides, while simultaneously driving up expenses for machinery fuel and irrigation. These heightened production and logistics costs eventually manifest as increased consumer food prices, which disproportionately affects vulnerable populations by reducing their disposable income and purchasing power. Furthermore, economic instability triggered by energy volatility can lead to protectionist trade policies or reduced government subsidies, creating a feedback loop that lowers agricultural yields and compromises global food stability as seen in Figure 4.
Therefore, this study employs the RCGE model to simulate the effects of these price increases, analyzing the potential economic impacts at both the macro and micro levels in both countries. The model includes an analysis of the effects of oil and gas price increases on key economic variables such as GDP, consumption, investment, foreign trade, and labor markets. It also studies the interactions between various economic sectors in both countries. Based on the stated objective and the RCGE modeling framework, the study tests the following hypotheses:
H1. 
Projected increases in oil and natural gas prices have significant economy-wide effects on key macroeconomic indicators in Egypt and Saudi Arabia.
H2. 
The macroeconomic and food security impacts of energy price increases differ between an energy-importing economy and an energy-exporting economy.
H3. 
Energy price increases affect food availability and accessibility through production, price, and household consumption channels, with heterogeneous effects across agricultural and food sectors.

5. Results

The RCGE model changes the properties of the exogenous variables within the model structure to simulate the effects of political and economic changes in certain situations. In this study, we estimate the impact of increased prices of oil and natural gas in both Saudi Arabia, a net exporter of oil, and Egypt, a net importer of oil. It is worth noting that the simulation results review the potential economic impacts at both the macro and micro levels for both countries simultaneously. More specifically, we simulate a scenario that anticipates a rise in global oil prices by approximately 5.3% and an increase in natural gas prices by around 10% by 2029, utilising the CGE model. Egypt is a net importer of petroleum products, and any rise in their prices will lead to economic tensions, thus impacting both macroeconomic and microeconomic conditions. An increase in petroleum and natural gas prices will result in a decline in total production, which will reduce Egypt’s GDP by approximately 1.61% compared to the baseline, as shown in Table 1. In the same context, the prices of goods in Egypt, as reflected in the consumer price index, will rise by approximately 0.007% (compared to the baseline), primarily because of higher prices for imported goods. The effects of rising prices of goods reflect household income and consumption levels. Household income and consumption were likely to decrease by approximately 0.0163% and 0.0162%, respectively. Despite the modest rates of this decline, the impact on societal welfare is expected to be substantial, with a projected reduction in welfare levels of approximately 4.48% compared to the baseline. In terms of trade, total imports to Egypt are likely to decline by approximately 0.26% compared with the baseline. Similarly, Egypt’s total exports are expected to decrease by approximately 0.42%, and its terms of trade will decline by approximately 0.07% compared with the baseline.
On the other hand, Saudi Arabia is a net exporter of petroleum products, particularly oil; therefore, Saudi Arabia is anticipated to experience positive economic benefits. In this situation, local production is likely to improve, especially oil production and its derivatives, as well as the industries that depend on it. This scenario will cause Saudi Arabia’s GDP to rise by approximately 0.199% compared with the baseline year of 2029. In a related context, a rise in global oil prices is expected to positively impact household income and consumption, with both likely to increase by approximately 0.002%. This increase in household income and consumption is expected to lead to a 5.38% improvement in welfare compared with the baseline. Additionally, terms of trade are likely to improve by approximately 0.0018%, and both exports and imports are expected to rise by approximately 0.0021% and 0.0023%, respectively, compared to the baseline.
Moreover, the negative effects of rising petroleum prices (oil and natural gas) in both Egypt and Saudi Arabia are evident. However, there was a disparity in the magnitude of the impact. Egypt is likely to be negatively affected by its status as a net importer of petroleum products, leading to an increase in costs and adversely affecting the overall economy. In contrast, Saudi Arabia is expected to benefit positively, as it is an oil-exporting country, which will result in increased revenue and economic growth. In sum, the RCGE simulation results show that Saudi Arabia’s positive welfare and macroeconomic gains outweigh, in relative magnitude, Egypt’s corresponding welfare losses. This outcome reflects structural differences between the two economies—most notably their opposing positions in global energy markets—under a controlled scenario in which energy price changes are introduced exogenously while all other economic relationships remain endogenously determined within the model. As such, the observed divergence in GDP, welfare (EV), and terms of trade outcomes can be directly attributed to differences in energy export dependence, fiscal transmission channels, and sectoral composition, rather than to uncontrolled external factors.
The results of the regional general equilibrium model simulation indicate that the global rise in oil and natural gas prices has had varied impacts on the production of agricultural and food commodities in Egypt. Although some products, such as vegetables and wheat, experienced a noticeable increase in production (1.38 and 1.22, respectively; Figure 5, right side), this is attributed to the rise in the prices of these goods both globally and locally. However, other products, such as processed foods, beverages, and tobacco, saw a decline in production (−0.3 and −0.34, respectively).
According to Saudi Arabia, the RCGE results indicate notable negative effects on the domestic production of several agricultural and food products due to the rise in oil and natural gas prices. The Kingdom does not primarily produce these goods or produces them in limited quantities, which accounts for this decline. The results indicate that domestic production of goods such as dairy, vegetables, and meat products decreased significantly (by −0.0769, −0.0818, and −0.0658, respectively; see Figure 5, left side). This decline means that these productive sectors must work harder to earn money. Some important agricultural products, such as vegetable oils (decrease of −0.0147) and sugar (decrease of −0.0099), also had negative effects on their production. This drop shows how challenging it is for the Kingdom to maintain the stability of its domestic production for these important goods. On the other hand, there was a notable improvement in oil production, alongside a marked improvement in the industrial sector and many other sectors. Consequently, the advancements in industrial and non-agricultural production are the primary drivers of GDP growth.
The results in Figure 6 show the significant impact of the rise in oil prices on Egypt’s food security, with notable declines in the accessibility of many agricultural and food products. For instance, the ability of the population to access paddy rice decreased by −0.00339, while wheat production dropped by −0.004745. Other crops, such as oil seeds and plant-based fibers, were also significantly affected, with declines of −0.00364 and −0.01276, respectively. These declines indicate that the rise in energy prices affects production costs, which in turn affects the local supply of food products. Additionally, animal products, such as meat and dairy, also experienced similar declines, suggesting that both the agricultural and industrial sectors in Egypt suffer from increased production and transportation expenses due to rising energy prices. Such developments could threaten access to affordable food and increase the dependence on imports.
While Saudi Arabia is a significant energy producer, the impact of rising oil prices on food security has been less severe compared to that in Egypt. Most agricultural and industrial sectors experienced minor declines. For example, access to paddy rice decreased by −0.000218, whereas changes in access to wheat were less pronounced, with a drop of −0.000158. Other crops, such as oilseeds and plant-based fibers, experienced smaller declines than those in Egypt. Despite Saudi Arabia’s large oil reserves, rising energy prices still affect production and transportation expenses in the agricultural and industrial sectors, leading to higher food prices. However, the impact remains limited compared with that in Egypt.
The structure of the main results of the RCGE model simulation is illustrated in Table 2, which captures the impacts of increased oil and natural gas prices on both Saudi Arabia and Egypt. At the macroeconomic level, the model reports changes in key indicators such as GDP, equivalent variation (EV), total imports and exports, consumer price index (CPI), household income, household consumption, and terms of trade. These variables provide a comprehensive overview of the overall economic response to external energy price shocks. At the microeconomic level, the results focus on food security dimensions, including availability and accessibility of food. Availability is measured through percentage changes in production quantities of selected agricultural and food commodities (see Figure 5), while accessibility is reflected in changes in prices of these commodities (see Figure 6). This two-tiered presentation allows for a detailed assessment of both aggregate economic outcomes and sector-specific adjustments, highlighting how macroeconomic shocks translate into tangible effects on food production and consumption patterns in both countries.

6. Discussion

This study’s primary motivation is to estimate the overarching impact of oil price changes on food security. The RCGE model highlighted the effects on two key pillars of food security—availability and accessibility—as well as their implications for some basic macroeconomic fundamentals. Additionally, the study examined these effects on agricultural food commodities in both countries.
At the macro level, as per the Egyptian context, the results in the table indicate that an increase in petroleum and natural gas prices will lead to a decline in total production, with Egypt’s GDP decreasing by approximately 1.61% compared to the baseline. The decline in the growth rate results from the Egyptian economy’s limited ability to produce more goods and services, caused by rising oil prices and increased production costs. The RCGE findings showed that prices for consumers increased while household income, spending, quality of life, and trade conditions decreased, along with total imports and exports, all due to these price increases. These findings are in close agreement with those of [13,14,24,40]. However, it is important to note that this recent study explores the impact of various macroeconomic fundamentals to enrich the literature with more comprehensive research. In sum, these macroeconomic outcomes in Egypt can be interpreted through the cost-push and imported inflation transmission channels. As a net energy-importing country, higher oil and natural gas prices directly increase production, transportation, and input costs across sectors. This cost escalation reduces aggregate supply, leading to a contraction in GDP and a deterioration in household income, consumption, and welfare. Simultaneously, higher energy prices intensify exchange rate pressures and imported inflation, amplifying the adverse impact on trade balances and food affordability. These findings confirm that energy price shocks are transmitted to food security in Egypt primarily through inflationary, trade, and cost-based mechanisms [19,21,22].
On the other hand, the indices from Saudi Arabia suggest that the nation’s GDP is projected to increase by approximately 0.199% in comparison to the baseline. A subsequent increase in household income, consumption, welfare levels, trade terms, total imports, and total exports reflects a modest improvement in GDP. Given this, it is vital to note that Saudi Arabia will benefit significantly from these price adjustments, while Egypt will incur losses. This study illustrates the stark disparities in how changes in energy prices affect exporting and importing nations, and how these fluctuations in oil prices ultimately impact the food security of both countries. This conclusion aligns closely with the findings of [15,16,41]. Furthermore, this recent research encompasses and expands the macro-investigation to include most of the variables that are ultimately influenced by oil price fluctuations. These macroeconomic outcomes reveal that, Saudi Arabia benefits from income and fiscal transmission channels, where higher oil prices strengthen public revenues and national income, offsetting cost pressures and supporting welfare and trade performance [17,18,19].
It is important to emphasize that the comparison between Saudi Arabia’s gains and Egypt’s losses is not based on descriptive judgment, but rather on internally consistent general equilibrium outcomes generated by the RCGE model. The model isolates the impact of energy price shocks by holding behavioral relationships, production technologies, and market-clearing conditions constant across scenarios. This approach ensures that differences in welfare, GDP, and trade outcomes are driven primarily by each country’s structural characteristics—such as energy trade position, sectoral composition, and income transmission mechanisms—rather than by other macroeconomic or policy influences. Consequently, the finding that Saudi Arabia’s welfare gains exceed Egypt’s welfare losses reflects equilibrium-based adjustments consistent with general equilibrium theory and the existing empirical literature.
At the micro level, it is worth noting that most of the reviewed literature focuses on the impact of oil prices on agricultural and non-agricultural product prices (e.g., [28,29,42]. Some of these studies have shed light on the impact on production costs [11,31,46]. However, to the best of our knowledge, no previous work has investigated the impact on production quantities of products to pave the way for clarifying the impact on the availability pillar of food security. In this recent paper, a robust investigation was conducted for the availability dimension; the findings underscored varied effects on Egypt and the Kingdom of Saudi Arabia, presented through production change. In Egypt, the production of vegetables, wheat, and bovine meat increased, which could be attributed to the simultaneous rise in global and local prices that, in turn, function as an incentive to increase production. The rise in wheat production is particularly notable given its strategic importance to Egypt, a leading importer of wheat [53]. However, the production of processed food, beverages, and tobacco decreased, in contrast to Rafiq and Bloch [44]. The rise in oil prices has resulted in higher input and operational costs associated with food processing as an energy-intensive sector Ladha-Sabur, et al. [54], leading to output reduction. The decline in beverages and tobacco as relatively non-essential commodities compared to the previously mentioned commodities could reflect shifts in consumer preferences and spending habits in response to food price increases [55,56].
The Kingdom has witnessed improvements in oil production in the industrial sector. However, the production of certain agricultural products, such as dairy products, vegetables, and meat, has decreased. In addition to vegetable oils and sugars, the production of these agricultural products decreased at lower rates. The kingdom faces inherent limitations in agricultural production stemming from environmental constraints, such as an arid climate and water scarcity. Oil prices lead to more expensive domestic production and, therefore, a contraction in output. This underscores the vulnerability of the country’s agricultural sector.
These micro results reveal that changes in production quantities reflect the dynamics of the availability channel. In Egypt, the increase in the production of strategic crops such as wheat and vegetables suggests a price-incentive mechanism, whereby higher global and domestic prices encourage output expansion despite rising energy costs. However, the decline in processed food production highlights the vulnerability of energy-intensive industries to cost escalation. This divergence confirms that energy prices affect food availability through both incentive-driven agricultural responses and cost-induced industrial contraction. In Saudi Arabia, the contraction in agricultural output can be attributed to structural and environmental constraints interacting with higher energy costs. Energy price increases raise production and irrigation costs in an already resource-constrained agricultural sector, leading to output reductions. This confirms that, despite fiscal gains at the macro level, the availability pillar of food security remains sensitive to cost-based transmission mechanisms at the sectoral level [8,20].
The accessibility pillar is represented by the change in prices of agricultural and food products. Egypt has experienced a decrease in the availability of rice, wheat, oil seeds, and plant-based fibers. These declines indicate that the rise in energy prices affects production costs, which subsequently influences the local supply of food products. This aligns with the work of Nicoară and Manațe [57]. Additionally, energy-intensive animal products Paris, et al. [58], such as meat and dairy, also experienced similar declines, suggesting that both the agricultural and industrial sectors in Egypt suffer from increased production, processing, and transportation costs due to rising energy prices. This could threaten access to affordable food and increase dependence on imports.
In Saudi Arabia, most agricultural and industrial sectors experienced minor declines in accessibility in response to higher oil prices. For example, access to paddy rice has decreased, whereas changes in access to wheat have been less pronounced. Other crops, such as oilseeds and plant-based fibres, experienced smaller declines than those in Egypt. Despite Saudi Arabia’s large oil reserves, rising energy prices still affect production and transportation costs in the agricultural and industrial sectors, leading to higher food prices [59,60]. However, the impact remains limited compared to Egypt, whose agricultural sector is already constrained by arable land scarcity, water shortages, and heavy reliance on imported production inputs.
Additionally, the decline in accessibility through the change in price of agricultural and food products in both countries is largely in line with the research work of Obadi and Korcek [61], Rafiq and Bloch [44] and Salles, Novo and Reis [29]. One major cause of the decline in food accessibility is the increase in production costs [43]. This could be interpreted due to the price transmission channel. Rising energy prices increase agricultural and food prices through higher production, processing, and transportation costs. In Egypt, this channel is particularly pronounced due to heavy reliance on imported inputs and energy, resulting in sharper reductions in affordability. In Saudi Arabia, although accessibility declines are more limited, higher energy costs still translate into higher food prices, confirming the presence of partial cost pass-through effects.
In sum, this study posits that volatility impedes food security in both its dimensions, namely, availability and accessibility, where the findings displayed the complex nature of oil price shocks in both countries. Overall, the RCGE results demonstrate that energy price shocks are transmitted to food security through asymmetric mechanisms depending on countries’ structural characteristics. While Egypt’s food security is predominantly affected through inflationary, trade, and cost-push channels, Saudi Arabia’s outcomes are mainly shaped by income, fiscal, and demand-side channels. This asymmetry explains the divergent macro and micro-level impacts observed in the results and validates the comparative framework adopted in this study.
In particular, at the macro level of examining the impact of oil price fluctuations on food security with regard to specific macro factors, the findings align with the majority of previous research that focuses on the positive impact. Additionally, the process is redone at the micro level by investigating the impact on production quantities, clarifying the impact on the availability pillar of food security, and examining the impact of oil prices on agriculture and food products in both countries. The findings confirmed a decline in the availability and accessibility of certain agricultural products. Moreover, the findings support the effectiveness of transportation and production costs as transmission mechanisms for challenging the pass-through effect of oil price fluctuations on food security. Furthermore, the findings align with the theoretical foundation dating back to Yaro [7], Schneider, Havlík, Schmid, Valin, Mosnier, Obersteiner, Böttcher, Skalský, Balkovič and Sauer [8] and Tadasse, Algieri, Kalkuhl and Von Braun [9] within the framework of Food Availability Decline (FAD) and Food Entitlement Decline (FED).

7. Conclusion and Policy Recommendations

The volatility in oil prices has impacted the economic and financial activities of countries, regardless of whether they are oil-exporting or oil-importing. Various studies indicate that fluctuations in oil prices affect food security in multiple dimensions by diminishing affordability, availability, and access to food through price increases. Much of the empirical literature examines and confirms both short- and long-term causal relationships between oil prices and specific food commodities at the micro level, while similar results and interlinkages have been observed at the macro level. However, a limited number of prior studies have addressed the connection between oil prices and food security at both macro- and microeconomic levels.
Consequently, there has been a lack of studies that explore the interrelations between oil prices and food security at both macro and microeconomic levels specifically for Egypt and Saudi Arabia. Thus, the present study aimed to test these interlinkages for both countries by employing a multi-sectoral, multi-country RCGE model specifically designed to simulate the effects of global oil and natural gas price increases on both aggregate and disaggregate levels for Egypt and Saudi Arabia. The model was based on the GTAP 10 database. The novelty of this study lies in using projected oil prices to estimate their volatility impact at a macro level, namely, the influence on growth, inflation, household income, consumption patterns, and terms of trade. Further analyses were conducted at the micro-level to examine the effects on specific agricultural and food commodities. Additionally, the paper seeks to answer an essential question for decision-makers: “Are the oil price fluctuations impactful for food security in Egypt as well as Saudi Arabia?”
To achieve this, the study employed the RCGE model to predict a scenario in which global oil prices are projected to increase approximately 5.3%, while natural gas prices are anticipated to rise by about 10% by the year 2029. The impacts of rising oil and gas prices are estimated and compared with a baseline scenario that assumes no change in oil prices for both Saudi Arabia and Egypt. This process was run concurrently, with a thorough analysis of the possible macroeconomic and microeconomic effects on both nations. Accordingly, the main conclusions are as follows:
On the macro level, Egypt imports a significant amount of petroleum goods, and any increase in their prices creates economic stresses that adversely affect the macroeconomic environment. Conversely, the Saudi economy is expected to gain, as Saudi Arabia is a net exporter of petroleum products, particularly oil. In this scenario, the local output, particularly in oil and its derivatives, along with the sectors that rely on them, is likely to improve.
On the micro level, the findings from the RCGE model simulation indicate that Egypt’s agricultural and food commodity production has been affected in several ways by the global increase in natural gas and oil prices. However, there has been a notable increase in the production of certain goods, such as wheat and vegetables. For Saudi Arabia, the results indicate that the rise in natural gas and oil prices has significantly harmed the domestic production of various food and agricultural items, especially since most agricultural and industrial sectors have experienced slight declines in accessibility due to higher oil prices. For example, access to paddy rice has decreased, while the fluctuations in access to wheat have been less significant. Other crops, such as oilseeds and plant-based fibers, showed smaller declines than those in Egypt.
This recent study suggests that volatility hinders food security in both its dimensions, namely availability and accessibility, particularly in net-importing countries. The RCGE simulation results indicate that projected increases in oil and natural gas prices raise production costs in agricultural and food sectors, increase food prices, and reduce household food consumption, thereby constraining food accessibility—especially in Egypt. These findings demonstrate the complex nature of oil price shocks in both countries, whether at the macro- or micro-level. Policymakers in the Saudi Arabian and Egyptian markets should closely consider these findings. Thus, the establishment of early warning and response systems should be prioritized to detect and respond to energy-driven inflationary pressures reflected in the simulated food price and consumption outcomes. It is also crucial to diversify global oil imports and reserves, as this is key to managing the volatility of global oil prices, particularly in net-importing countries such as Egypt, where the model results show stronger adverse food security effects compared to Saudi Arabia. Therefore, Egyptian economic policies must be translated into long-term programs to address food price inflation, as evidenced by the simulated increases in food prices and their disproportionate effects on household consumption. Additionally, countries such as Egypt must build extensive social protection and support systems to mitigate the welfare losses observed among households in response to energy price shocks. Such policies are crucial for safeguarding low-income households from the possible harmful effects of this instability.
Furthermore, strengthening the domestic reserves of certain strategic agricultural commodities, such as wheat, is essential for withstanding changes in global oil prices for both countries, especially for commodities that are highly sensitive to oil price fluctuations. Finally, policymakers should respond swiftly and effectively to oil price shocks to limit the magnitude of simulated volatility in agricultural production and prices, thereby minimizing their negative impacts on various aspects of food security.
In brief, the recent surge in oil prices underscores the far-reaching effects of geopolitical conflicts on global energy markets and the economy. For oil-producing countries, this represents an opportunity to increase revenues and reap some positive impacts; however, for the global economy, particularly net-importing oil countries, it raises serious concerns about inflation and threatens economic recovery. As the world faces these challenges, the objective of maintaining food security goals and the importance of focusing on energy security and diversifying the global energy mix have become more apparent.
Despite the valuable insights offered by this study, several limitations of this study must be acknowledged. The RCGE framework is implemented as a static model; therefore, the results reflect comparative static adjustments rather than dynamic transition paths over time. Additionally, country-specific data quality and aggregation levels may affect the accuracy of micro-level outcomes, particularly regarding disaggregated household responses and food security indicators. Future studies could benefit from integrating dynamic RCGE models or hybrid approaches that combine RCGE with agent-based or partial equilibrium models to better reflect the heterogeneity of economic agents and time-lagged effects of price shocks. Moreover, examining the impacts of renewable energy transitions, subsidy reforms, and climate adaptation strategies on mitigating the negative effects of energy price volatility on food security would enhance the policy relevance of these analyses. Cross-country comparative studies that include low-income or climate-vulnerable economies offer broader insights into the different impacts of global energy price shocks.

Author Contributions

Conceptualization, Y.N.A., N.A.M.A., S.F.N., T.H., and J.B.; methodology, Y.N.A., N.A.M.A., S.F.N., and T.H.; software, Y.N.A., N.A.M.A., S.F.N., and T.H.; validation, Y.N.A., N.A.M.A., S.F.N., T.H., and J.B.; formal analysis, Y.N.A., N.A.M.A., S.F.N., and T.H.; investigation, Y.N.A., N.A.M.A., S.F.N., and T.H.; resources, J.B.; writing—original draft preparation, Y.N.A., N.A.M.A., S.F.N., and T.H.; writing—review and editing Y.N.A., N.A.M.A., S.F.N., T.H., and J.B.; funding acquisition, J.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2026R540), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are openly available to the public.

Acknowledgments

The authors extend their appreciation to the Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2026R540), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Byrne, J.P.; Lorusso, M.; Xu, B. Oil prices, fundamentals and expectations. Energy Econ. 2019, 79, 59–75. [Google Scholar] [CrossRef]
  2. Kilian, L.; Zhou, X. The impact of rising oil prices on US inflation and inflation expectations in 2020–23. Energy Econ. 2022, 113, 106228. [Google Scholar] [CrossRef]
  3. Sadeghi, A. Oil Price Shocks and Economic Growth in Oil-Exporting Countries: Does the Size of Government Matter? International Monetary Fund: Washington, DC, USA, 2017. [Google Scholar]
  4. Agboola, E.; Chowdhury, R.; Yang, B. Oil price fluctuations and their impact on oil-exporting emerging economies. Econ. Model. 2024, 132, 106665. [Google Scholar] [CrossRef]
  5. Karakotsios, A.; Katrakilidis, C.; Kroupis, N. The dynamic linkages between food prices and oil prices. Does asymmetry matter? J. Econ. Asymmetries 2021, 23, e00203. [Google Scholar] [CrossRef]
  6. Musa, D.; Kwarbai, J.; Olanrewaju, G. Oil Price and Food Security in Nigeria: What Do Data Say? 2024. Available online: https://ssrn.com/abstract=4833688 (accessed on 15 December 2025).
  7. Yaro, J.A. Theorizing food insecurity: Building a livelihood vulnerability framework for researching food insecurity. Nor. Geogr. Tidsskr.-Nor. J. Geogr. 2004, 58, 23–37. [Google Scholar] [CrossRef]
  8. Schneider, U.A.; Havlík, P.; Schmid, E.; Valin, H.; Mosnier, A.; Obersteiner, M.; Böttcher, H.; Skalský, R.; Balkovič, J.; Sauer, T. Impacts of population growth, economic development, and technical change on global food production and consumption. Agric. Syst. 2011, 104, 204–215. [Google Scholar] [CrossRef]
  9. Tadasse, G.; Algieri, B.; Kalkuhl, M.; Von Braun, J. Drivers and triggers of international food price spikes and volatility. Food Policy 2016, 47, 59–82. [Google Scholar]
  10. Johnson, C.; Forsyth, T. In the eyes of the state: Negotiating a “rights-based approach” to forest conservation in Thailand. World Dev. 2002, 30, 1591–1605. [Google Scholar] [CrossRef]
  11. Dillon, B.M.; Barrett, C.B. Global Oil Prices and Local Food Prices: Evidence from East Africa. Am. J. Agric. Econ. 2016, 98, 154–171. [Google Scholar] [CrossRef]
  12. Chen, D.; Gummi, U.M.; Umar, A.S. The review on the link between food and oil markets in the view of price dynamics. Am. J. Ind. Bus. Manag. 2019, 9, 1890–1900. [Google Scholar] [CrossRef]
  13. Shokoohi, Z.; Saghaian, S. Nexus of energy and food nutrition prices in oil importing and exporting countries: A panel VAR model. Energy 2022, 255, 124416. [Google Scholar] [CrossRef]
  14. Abo Hatab, A.; Ryad, R.I. The impact of global oil prices volatility on food prices in Egypt: Empirical evidence using NARDL model. J. Sustinable Agric. Sci. Kafr El-Sheikh Univ. 2016, 42. Available online: https://jsas.journals.ekb.eg/article_2950_bcb83a26cbe8c713d1aad7fe14332c00.pdf (accessed on 15 December 2025).
  15. Darwez, F.; Alharbi, F.; Ifa, A.; Bayomei, S.; Mostfa, E.; Alrawad, M. Assessing the impact of oil price volatility on food prices in Saudi Arabia: Insights from nonlinear autoregressive distributed lags (NARDL) analysis. Economics 2023, 11, 5–23. [Google Scholar] [CrossRef]
  16. Baimaganbetov, S.; Kelesbayev, D.; Baibosynova, G.; Yermankulova, R.; Dandayeva, B. The impact of oil prices on the food inflation in Kazakhstan. Int. J. Energy Econ. Policy 2021, 11, 73–79. [Google Scholar] [CrossRef]
  17. The Food and Agriculture Organization (FAO). The State of Food Security and Nutrition in the World (SOFI); The Food and Agriculture Organization (FAO): Geneva, Switzerland, 2021. [Google Scholar]
  18. World Bank. Commodity Markets Outlook; World Bank: Washington, DC, USA, 2022. [Google Scholar]
  19. Kilian, L. Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. Am. Econ. Rev. 2009, 99, 1053–1069. [Google Scholar] [CrossRef]
  20. The Food and Agriculture Organization (FAO). Food Outlook; The Food and Agriculture Organization (FAO): Geneva, Switzerland, 2022. [Google Scholar]
  21. International Monetary Fund (IMF). Regional Economic Outlook: Middle East and Central Asia; International Monetary Fund (IMF): Washington, DC, USA, 2023. [Google Scholar]
  22. World Bank. Global Economic Prospects; World Bank: Washington, DC, USA, 2023. [Google Scholar]
  23. Khan, H.A.; Raees, F.; Baig, M.M. Long-term causal analysis of the energy-food price relationship. Int. J. Adv. Appl. Sci. 2024, 11, 7–16. [Google Scholar] [CrossRef]
  24. Borrallo, F.; Cuadro-Sáez, L.; Gras-Miralles, Á.; Perez, J.J. The transmission of shocks to food and energy commodity prices to food inflation in the euro area. Appl. Econ. Lett. 2024, 33, 411–416. [Google Scholar] [CrossRef]
  25. Chen, D.; Gummi, U.M.; Lu, S.-B.; Mu’azu, A. Modelling the impact of oil price fluctuations on food price in high and low-income oil exporting countries. Agric. Econ. Zemědělská Ekon. 2020, 66, 458–468. [Google Scholar] [CrossRef]
  26. Demirtaş, C.; Soyu Yıldırım, E.; Dur, D.T. Do oil prices have an effects on food prices? Fresh evidences from Türkiye. İşletme Araştırmaları Derg. 2023, 15, 79–91. [Google Scholar] [CrossRef]
  27. Baumeister, C.; Kilian, L. Do oil price increases cause higher food prices? Econ. Policy 2014, 29, 691–747. [Google Scholar] [CrossRef]
  28. Roman, M.; Górecka, A.; Domagała, J. The linkages between crude oil and food prices. Energies 2020, 13, 6545. [Google Scholar] [CrossRef]
  29. Salles, A.; Novo, M.L.; Reis, N.L.d. The Nexus of Crude Oil and Food Prices: Evidence of the Crude Oil Prices Influence on Food Insecurity Problem. 2024. Available online: https://ssrn.com/abstract=5036595 (accessed on 20 December 2025).
  30. Nadia, A.-R.; Hazem, A.-N.; Dana, A.-N. The impact of Russo-Ukrainian war, COVID-19, and oil prices on global food security. Heliyon 2024, 10, e29279. [Google Scholar] [CrossRef] [PubMed]
  31. Ebadi, E.; Balcilar, M.; Are, W. Assessing the Role of the Oil Market in Rising Food Prices: Strategic Implications for Food Security in Gulf Cooperation Council Countries. Int. J. Energy Econ. Policy 2025, 15, 490–506. [Google Scholar] [CrossRef]
  32. Koirala, K.H.; Mishra, A.K.; D’Antoni, J.M.; Mehlhorn, J.E. Energy prices and agricultural commodity prices: Testing correlation using copulas method. Energy 2015, 81, 430–436. [Google Scholar] [CrossRef]
  33. Zafeiriou, E.; Arabatzis, G.; Karanikola, P.; Tampakis, S.; Tsiantikoudis, S. Agricultural commodities and crude oil prices: An empirical investigation of their relationship. Sustainability 2018, 10, 1199. [Google Scholar] [CrossRef]
  34. Onour, I. Is the High Crude Oil Prices Cause the Soaring Global Food Prices? Arab Planning Institute-Kuwait, Information Center: Shuwaikh Industrial, Kuwait, 2010. [Google Scholar]
  35. Fowowe, B. Do oil prices drive agricultural commodity prices? Evidence from South Africa. Energy 2016, 104, 149–157. [Google Scholar] [CrossRef]
  36. Baumeister, C.; Kilian, L. Real-time analysis of oil price risks using forecast scenarios. IMF Econ. Rev. 2014, 62, 119–145. [Google Scholar] [CrossRef]
  37. Arndt, C.; Benfica, R.; Maximiano, N.; Nucifora, A.M.; Thurlow, J.T. Higher fuel and food prices: Impacts and responses for Mozambique. Agric. Econ. 2008, 39, 497–511. [Google Scholar] [CrossRef]
  38. Sun, Y.; Gao, P.; Raza, S.A.; Shah, N.; Sharif, A. The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach. Energy 2023, 270, 126812. [Google Scholar] [CrossRef]
  39. Köse, N.; Ünal, E. The effects of the oil price and temperature on food inflation in Latin America. Environ. Dev. Sustain. 2024, 26, 3269–3295. [Google Scholar] [CrossRef]
  40. Alieva, M. Do global Oil Prices Drive Domestic Food Prices? Master’s Thesis, Swedish University of Agricultural Sciences, Uppsala, Sweden, 2019. [Google Scholar]
  41. IC, N.; GC, A. Crude oil price and food price volatility: A conceptual analysis. Int. J. Sci. Res. Updates 2022, 4, 108–115. [Google Scholar]
  42. Adeosun, O.A.; Olayeni, R.O.; Tabash, M.I.; Anagreh, S. Revisiting the oil and food prices dynamics: A time varying approach. J. Bus. Cycle Res. 2023, 19, 275–309. [Google Scholar] [CrossRef]
  43. Eissa, M.A.; Al Refai, H. Modelling the symmetric and asymmetric relationships between oil prices and those of corn, barley, and rapeseed oil. Resour. Policy 2019, 64, 101511. [Google Scholar] [CrossRef]
  44. Rafiq, S.; Bloch, H. Explaining commodity prices through asymmetric oil shocks: Evidence from nonlinear models. Resour. Policy 2016, 50, 34–48. [Google Scholar] [CrossRef]
  45. Nwoko, I.C.; Aye, G.C.; Asogwa, B.C. Effect of oil price on Nigeria’s food price volatility. Cogent Food Agric. 2016, 2, 1146057. [Google Scholar]
  46. Diab, S.; Karaki, M.B. Do increases in gasoline prices cause higher food prices? Energy Econ. 2023, 127, 107066. [Google Scholar] [CrossRef]
  47. Ministry of Agriculture and Land Reclamation. Annual Reports. 2023. Available online: https://moa.gov.eg/en/publications/ (accessed on 27 December 2025).
  48. GaStat. General Authority for Statistics. Available online: https://www.stats.gov.sa/en/w/household-income-and-expenditure-survey-2018 (accessed on 26 December 2025).
  49. Global Food Security Index. Economist Impact. 2022. Available online: https://impact.economist.com/sustainability/project/food-security-index/ (accessed on 25 December 2025).
  50. International Trade Centre. Trade Statistics for International Business Development. 2023. Available online: https://www.trademap.org/Index.aspx (accessed on 23 December 2025).
  51. Ghaith, Z.; Kulshreshtha, S.; Natcher, D.; Cameron, B.T. Regional computable general equilibrium models: A review. J. Policy Model. 2021, 43, 710–724. [Google Scholar] [CrossRef]
  52. Hertel, T.W. Global Trade Analysis: Modeling and Applications; Cambridge University Press: Cambridge, UK, 1997. [Google Scholar]
  53. Abdalla, A.; Stellmacher, T.; Becker, M. Trends and prospects of change in wheat self-sufficiency in Egypt. Agriculture 2022, 13, 7. [Google Scholar] [CrossRef]
  54. Ladha-Sabur, A.; Bakalis, S.; Fryer, P.J.; Lopez-Quiroga, E. Mapping energy consumption in food manufacturing. Trends Food Sci. Technol. 2019, 86, 270–280. [Google Scholar] [CrossRef]
  55. Chang, A.J.; Zhou, F.; El-Rayes, N.; Shi, J. Food transportation and price impacted by diesel price and truck-driver shortage pre-, amid and post pandemic. Transp. Res. Part E Logist. Transp. Rev. 2024, 192, 103794. [Google Scholar] [CrossRef]
  56. Guo, J.; Tanaka, T. Energy-food interconnectedness in Africa: A dynamic analysis of price transmission and the roles of logistics efficiency and food self-sufficiency. J. Agric. Food Res. 2025, 21, 101985. [Google Scholar] [CrossRef]
  57. Nicoară, S.; Manațe, D. The Impact of Rising Oil Prices on Agricultural Products. Ovidius Univ. Ann. Econ. Sci. Ser. 2022, 22, 386–389. [Google Scholar] [CrossRef]
  58. Paris, B.; Vandorou, F.; Tyris, D.; Balafoutis, A.T.; Vaiopoulos, K.; Kyriakarakos, G.; Manolakos, D.; Papadakis, G. Energy use in the EU livestock sector: A review recommending energy efficiency measures and renewable energy sources adoption. Appl. Sci. 2022, 12, 2142. [Google Scholar] [CrossRef]
  59. Wilson, N. Discussion: Causes of Agricultural and Food Price Inflation andVolatility. J. Agric. Appl. Econ. 2012, 44, 423–425. [Google Scholar] [CrossRef]
  60. Volpe, R.J., III. National brands, private labels, and food price inflation. J. Agric. Appl. Econ. 2014, 46, 575–591. [Google Scholar] [CrossRef]
  61. Obadi, S.M.; Korcek, M. Are food prices affected by crude oil price: Causality investigation. Rev. Integr. Bus. Econ. Res. 2014, 3, 411–427. [Google Scholar]
Figure 1. Food security indicators (Egypt and Saudi Arabia). Source: Prepared by the authors based on (EIU: Global Food Security Index [49]).
Figure 1. Food security indicators (Egypt and Saudi Arabia). Source: Prepared by the authors based on (EIU: Global Food Security Index [49]).
Energies 19 01066 g001
Figure 2. Global Food Security Index 2022. Source: Prepared by the authors based on (EIU: Global Food Security Index [49]).
Figure 2. Global Food Security Index 2022. Source: Prepared by the authors based on (EIU: Global Food Security Index [49]).
Energies 19 01066 g002
Figure 3. Circular flow of the economy underlying the CGE/RCGE framework. Source: [51].
Figure 3. Circular flow of the economy underlying the CGE/RCGE framework. Source: [51].
Energies 19 01066 g003
Figure 4. The relationship between energy price fluctuations and food security. Source: Prepared by the authors.
Figure 4. The relationship between energy price fluctuations and food security. Source: Prepared by the authors.
Energies 19 01066 g004
Figure 5. Rate of change in production (%). Source: results of the regional CGE model.
Figure 5. Rate of change in production (%). Source: results of the regional CGE model.
Energies 19 01066 g005
Figure 6. Rate of change in accessibility (%). Source: results of the regional CGE model.
Figure 6. Rate of change in accessibility (%). Source: results of the regional CGE model.
Energies 19 01066 g006
Table 1. Rate of change in macroeconomic indicators by 2029 (%).
Table 1. Rate of change in macroeconomic indicators by 2029 (%).
EgyptThe Kingdom of Saudi Arabia
GDP−1.61910.1991
EV−4.48005.3800
Total imports−0.26790.0023
Total exports−0.42550.0021
CPI0.07160.0021
Household income−0.01630.0021
Household consumption−0.01620.0020
Terms of trade−0.07130.0018
Source: Results of the Regional CGE Model. Note: All reported changes are simulated relative to a baseline equilibrium, with energy prices treated as exogenous shocks and all other economic interactions endogenously determined within the RCGE model.
Table 2. Structure of main results of RCGE Model simulation.
Table 2. Structure of main results of RCGE Model simulation.
Impact of Increased Prices of Oil and Natural Gas in Both Saudi Arabia and Egypt
On Macroeconomic Level
Table 1
On Microeconomic Level
GDPAvailability of food Figure 4
(% change in production quantities of certain agricultural and food commodities)
EV
Total imports
Total exports
CPIAccessibility of food Figure 5
(% change in prices of certain agricultural and food commodities)
Household income
Household consumption
Terms of trade
Source: Author’s own illustration.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ahmed, Y.N.; Abdelrahman, N.A.M.; Nasr, S.F.; Binsuwadan, J.; Hassouba, T. The Impact of Energy Price Fluctuations on Food Security: Empirical Evidence from Egypt and KSA Using RCGE Model. Energies 2026, 19, 1066. https://doi.org/10.3390/en19041066

AMA Style

Ahmed YN, Abdelrahman NAM, Nasr SF, Binsuwadan J, Hassouba T. The Impact of Energy Price Fluctuations on Food Security: Empirical Evidence from Egypt and KSA Using RCGE Model. Energies. 2026; 19(4):1066. https://doi.org/10.3390/en19041066

Chicago/Turabian Style

Ahmed, Yosri Nasr, Naglaa Ahmed Mohamed Abdelrahman, Saleh Farouk Nasr, Jawaher Binsuwadan, and Taghreed Hassouba. 2026. "The Impact of Energy Price Fluctuations on Food Security: Empirical Evidence from Egypt and KSA Using RCGE Model" Energies 19, no. 4: 1066. https://doi.org/10.3390/en19041066

APA Style

Ahmed, Y. N., Abdelrahman, N. A. M., Nasr, S. F., Binsuwadan, J., & Hassouba, T. (2026). The Impact of Energy Price Fluctuations on Food Security: Empirical Evidence from Egypt and KSA Using RCGE Model. Energies, 19(4), 1066. https://doi.org/10.3390/en19041066

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop