Food Security Strategy for Mercosur Countries in Response to Climate and Socio-Economic Challenges
Abstract
1. Introduction
2. Materials and Methods
- (a)
- Identification of Critical Areas of Food System Functioning. Based on the literature and Mercosur countries’ food policies, four key areas for ensuring food security were identified: physical and logistical availability of food (e.g., supply chain efficiency and self-sufficiency); economic accessibility (e.g., income, poverty, and inequality); food quality and safety (e.g., nutritional standards and dietary diversity); and food system resilience to external factors (e.g., climate change, political risk, and natural resource degradation).
- (b)
- Indicator Selection Criteria. The following methodological criteria were applied: Measurability and Comparability—only indicators available for all analysed countries were included, with a consistent temporal and methodological framework; Public Policy Relevance—selected indicators had to be linked to existing policy programmes or strategic initiatives (e.g., poverty reduction programmes and climate adaptation); Sensitivity to Macroeconomic and Climate Variables—indicators chosen demonstrated the ability to reflect changes in the food system resulting from external shocks; Structural Representativeness—the selection encompassed indicators reflecting both systemic resources (e.g., infrastructure and self-sufficiency) and social factors (e.g., inequality and access to a healthy diet).
- (c)
- Assessment and Classification of Point Values Indicators Based Primarily on the GFSI Score (0–100). This was then classified according to the following scale: 85 points—a strong point; 50–85 points—moderate strength or weakness (depending on the dynamics and context); below 50 points—a weak point.
3. Results: Food Security in Mercosur Countries
3.1. Assessment of Food Security in Mercosur Countries Compared with Global, North American, and European Contexts
3.2. Synthetic Analysis of Food Security in Mercosur Countries
3.3. An Assessment of Food Self-Sufficiency in Mercosur Countries
3.4. Evaluating the Resilience of Food Systems: Economic Drivers and Public Policies in Mercosur Countries
3.5. Strategic Analysis of Food System Resilience in Mercosur Countries
- Integrated Regional Policy: A common food security strategy must be developed, taking into account climate change, infrastructure barriers, and market integration;
- Strengthening Research and Innovation: Long-term investment in precision agriculture, biotechnology, and local research centres is essential, particularly in Paraguay and Brazil;
- Reducing Access Inequality: Improving food distribution systems and reducing costs for vulnerable groups are essential to enhance affordability;
- Building Climate Resilience: Implementation of irrigation technologies, drought risk management, and the development of local early warning systems are essential;
- Infrastructure and Logistics Development: Expanding transport and storage networks to reduce food losses and enhance supply chains;
- Diversification of Energy Sources and Fertilisers: Implementing policies to support local production of biofuels and green fertilisers to reduce import dependency;
- Monitoring and Evaluation: Regularly utilise indices such as the GFSI to measure progress and assess the effectiveness of policies.
4. Discussion
4.1. Climate Vulnerability and Adaptation
4.2. Social Inequality and Food Access
4.3. Institutional Capacity and Policy Coordination
5. Conclusions
- Establish a regional monitoring and coordination mechanism under Mercosur to track food security indicators (e.g., via the GFSI) and support the harmonisation of emergency-response and poverty-alleviation policies;
- Invest in inclusive rural infrastructure and logistics, particularly in drought-prone and remote areas, to improve food availability and reduce distributional gaps;
- Support the scaling up of climate-smart agriculture (CSA) and sustainable input production (e.g., biofertilisers and renewable energy) through public–private partnerships and targeted funding programmes.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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GFSI | Global | Argentina | Brazil | Uruguay | Paraguay | ||||
---|---|---|---|---|---|---|---|---|---|
2022 | Score Changes 2022 vs. 2012 | 2022 | Score Changes 2022 vs. 2012 | 2022 | Score Changes 2022 vs. 2012 | 2022 | Score Changes 2022 vs. 2012 | ||
Affordability: | 69.0 | 62.0 | −0.4 | 63.0 | −3.4 | 80.0 | +8.3 | 74.3 | −9.5 |
- Change in average food costs | 70.7 | 0.0 | −66.0 | 38.0 | −16.5 | 66.0 | +35.0 | 54.0 | −40.0 |
- Proportion of population below global poverty line | 76.6 | 94.1 | −1.0 | 95.6 | +5.2 | 99.3 | −0.2 | 95.2 | −0.2 |
- Inequality-adjusted income index | 55.5 | 60.6 | 0 | 44.2 | 0 | 61.4 | 0 | 45.2 | 0 |
- Agricultural trade | 67.6 | 66.9 | −1.1 | 66.8 | −2.5 | 72.6 | −0.3 | 76.2 | +0.4 |
- Food safety net programmes | 72.4 | 100 | 0 | 73.2 | 0 | 100 | 0 | 100 | 0 |
Availability: | 57.8 | 63.4 | +2.2 | 58.6 | −0.4 | 65.6 | +1.7 | 47.0 | −6.6 |
- Access to agricultural inputs | 57.6 | 75.3 | 0 | 83.6 | 0 | 83.6 | 0 | 50.3 | 0 |
- Agricultural research and development | 47.1 | 65.2 | +20.9 | 55.4 | −2.4 | 68.1 | +24.4 | 26.8 | −13.2 |
- Farm infrastructure | 55.7 | 57.7 | −1.2 | 52.4 | +0.2 | 27.0 | 0 | 20.9 | +0.1 |
- Volatility in agricultural production | 68.7 | 71.4 | 0 | 95.2 | 0 | 3.8 | 0 | 85.0 | +3.4 |
- Food loss | 75.5 | 87.9 | −1.3 | 51.9 | −1.6 | 47.5 | −8.2 | 62.8 | +1.6 |
- Supply chain infrastructure | 47.8 | 49.1 | 0 | 35.8 | 0 | 55.9 | −2.4 | 37.2 | 0 |
- Sufficiency of supply | 61.9 | 40.4 | 0 | 38.7 | 0 | 86.0 | +0.8 | 24.7 | −48.1 |
- Political and barriers to access | 58.7 | 70.1 | 0 | 64.4 | 0 | 84.6 | −1.3 | 57.5 | 0 |
- Food security and access policy commitments | 47.1 | 52.5 | 0 | 47.5 | 0 | 100.0 | 0 | 52.5 | 0 |
Quality and Safety: | 65.9 | 85.5 | 0 | 83.9 | +0.1 | 73.8 | −1.1 | 76.3 | −0.3 |
- Dietary diversity | 52.5 | 56.3 | 0 | 60.5 | 0 | 49.8 | 0 | 54.3 | 0 |
- Nutritional standards | 63.7 | 100 | 0 | 100 | 0 | 61.3 | 0 | 88.7 | 0 |
- Micronutrient availability | 67.8 | 75.1 | 0 | 63.4 | 0 | 86.3 | 0 | 81.8 | 0 |
- Protein quality | 68.5 | 100 | 0 | 94.0 | +0.3 | 76.5 | −5.5 | 61.6 | −1.2 |
- Food safety | 76.4 | 94.4 | 0 | 99.7 | +0.2 | 94.6 | 0 | 94.6 | 0 |
Sustainability and Adaptation: | 54.1 | 49.4 | −1.3 | 56.3 | 0 | 65.8 | 0 | 32.8 | −6.3 |
- Exposure | 67.9 | 75.8 | 0 | 67.1 | 0 | 76.4 | 0 | 76.8 | 0 |
- Water | 41.2 | 61.2 | 0 | 63.8 | 0 | 63.8 | 0 | 38.8 | 0 |
- Land | 61.3 | 40.4 | +0.1 | 54.4 | +0.4 | 59.7 | −0.1 | 36.1 | +0.2 |
- Oceans, rivers, and lakes | 41.5 | 24.5 | 0 | 38.1 | 0 | 35.9 | 0 | 32.9 | 0 |
- Political commitment to adaptation | 55.8 | 40.8 | −6.8 | 59.7 | −0.3 | 59.7 | 0 | 12.1 | −33.4 |
- Disaster risk management | 55.7 | 52.9 | 0 | 52.9 | 0 | 100 | 0 | 0.0 | 0 |
TOTAL | 62.2 | 64.8 | +0.1 | 65.1 | −1.1 | 71.8 | +2.6 | 58.6 | +6.0 |
Item | Argentina | Brazil | Uruguay | Paraguay | ||||
---|---|---|---|---|---|---|---|---|
2022 | Score Changes 2022 vs. 2012 | 2022 | Score Changes 2022 vs. 2012 | 2022 | Score Changes 2022 vs. 2012 | 2022 | Score Changes 2022 vs. 2012 | |
Gross Domestic Product per capita, USD thousand | 13.9 | - | 8.9 | −3.4 | 20.8 | +5.2 | 6.2 | +0.6 |
Share of agricultural value added in GDP, % | 6.6 | +0.8 | 6.8 | +2.6 | 6.5 | −2.0 | 11.0 | +1.0 |
Value added of agriculture per employed person, USD thousand | 20.9 | +2.6 | 10.5 | +2.9 | 28.4 | +3.3 | 6.6 | +3.3 |
Share of the rural population in the total population, % | 473.5 | −918.9 | 1005.9 | +38.3 | 1884.7 | +50.4 | 1203.9 | +185.9 |
Share of agri-food systems in emissions (CO2), % | 7.8 | −1.1 | 12.8 | −2.6 | 4.5 | −0.9 | 39.8 | −3.6 |
Gross Domestic Product per capita, USD thousand | 44.7 | −3.9 | 89.6 | −0.3 | 30.8 | −11.5 | 91.5 | +1.5 |
Pesticides (total), kg/ha of cropland | 5.9 | +0.6 | 12.6 | +5.2 | 5.4 | −0.5 | 7.6 | −3.1 |
Food Price Anomaly Index (IFPA) by Food CPI * | 0.2 | −1.5 | 0.4 | +0.4 | 0.5 | - | 0.8 | +1.3 |
Occurrence of Lack of Financial Capacity (PUA), % | NDA | NDA | 25.3 | −2.1 | 36.1 | +5.0 | 24.1 | +0.1 |
Number of people who cannot afford a healthy diet (NUA), million | NDA | NDA | 53.1 | −3.1 | 1.2 | +0.1 | 1.6 | +0.1 |
Number of malnourished people, million | 1.4 | - | 8.4 | +2.7 | 0.1 | - | 0.3 | +0.1 |
Prevalence of malnutrition, % | 3.2 | −0.2 | 3.9 | +1.1 | <2.5 | - | 4.5 | +2.1 |
Prevalence of severe food insecurity in the population as a whole, % * | 13.1 | +0.5 | 6.6 | +3.5 | 2.9 | +0.8 | 6.6 | +1.4 |
Parameters | Strong Points | Weak Points |
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Affordability |
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Availability |
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Quality and Safety |
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Sustainability and Adaptation |
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Parameters | Opportunities | Threats |
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Affordability |
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Availability |
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Quality and Safety |
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Sustainability and Adaptation |
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Opportunities (O) | Threats (T) | |
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Strong points (S) | SO Strategies
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Weak points (W) | WO Strategies
| WT Strategies
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Zolotnytska, Y.; Krzyżanowski, J.; Wigier, M.; Krupin, V.; Wojciechowska, A. Food Security Strategy for Mercosur Countries in Response to Climate and Socio-Economic Challenges. Sustainability 2025, 17, 7280. https://doi.org/10.3390/su17167280
Zolotnytska Y, Krzyżanowski J, Wigier M, Krupin V, Wojciechowska A. Food Security Strategy for Mercosur Countries in Response to Climate and Socio-Economic Challenges. Sustainability. 2025; 17(16):7280. https://doi.org/10.3390/su17167280
Chicago/Turabian StyleZolotnytska, Yuliia, Julian Krzyżanowski, Marek Wigier, Vitaliy Krupin, and Adrianna Wojciechowska. 2025. "Food Security Strategy for Mercosur Countries in Response to Climate and Socio-Economic Challenges" Sustainability 17, no. 16: 7280. https://doi.org/10.3390/su17167280
APA StyleZolotnytska, Y., Krzyżanowski, J., Wigier, M., Krupin, V., & Wojciechowska, A. (2025). Food Security Strategy for Mercosur Countries in Response to Climate and Socio-Economic Challenges. Sustainability, 17(16), 7280. https://doi.org/10.3390/su17167280