Data or statistical facts on the situation and perspectives of agri-food systems and the impact of policies
Up to 70% of agricultural productivity growth in Latin America and the Caribbean is reduced when environmental costs are taken into account. The increase in production has been driven mainly by the intensive use of inputs rather than by technological or managerial improvements, highlighting the need for policies that integrate sustainability and innovation. (IDB, 2025)
US$2.1 to US$2.8 trillion is the estimated range of cumulative investment through 2030 in LAC to meet climate commitments, per the report (ECLAC, 2025).
3.7% to 4.9% of regional GDP is the estimated average annual equivalent of climate investment through 2030 in LAC (ECLAC, 2025).
687 IAPs make up the database with information used to classify productive articulation initiatives financing sources in 18 countries (2023–2025), according to the note in the report’s financing chart (ECLAC, 2025).
0.4% of the 497 productive articulation initiatives (PAI) (same 20 countries; 2023–2025) focus on specialized public infrastructure development (ECLAC, 2025).
In “almost all” cases, productive articulation initiatives (PAI) (in the same 20 countries) are managed by a decision-making body averaging 11 people, with composition mainly private sector (72.7%), then civil society (15.0%), public sector (10.2%), and academia (1%) (ECLAC, 2025).
State support for the Peruvian agricultural sector (2019–2022) is analyzed using the OECD methodology (PSE and GSSE), quantifying subsidies, general services, and competitiveness programs, and linking them to the sector's GHG emissions. It assesses its consistency with the NDCs and the National Agricultural Policy 2021–2030, highlighting the need to reorient incentives towards climate-smart an...
Building towards the goal of zero hunger, the food and agriculture sector must be considered when designing nutritional interventions (Duncan et al., 2022).
The study conducts a comprehensive review of the use of predictive models to strengthen food security in Latin America, with an emphasis on Colombia. It analyzes 65 studies published between 2014 and 2024 that apply algorithms such as Random Forests and Neural Networks to anticipate agricultural yields, manage climate risks, and optimize resources. The results show that agricultural, climatic, and...
