Environmental Crisis and Sustainable Development in South America
Notice bibliographique
Résumé
Abstract South America has compelling reasons to address the climate and environmental crisis. First, the region is highly vulnerable to its impacts due to its economic reliance on natural resources and the susceptibility of its population. Addressing these vulnerabilities is crucial for the well-being of current and future generations. Second, as the global economy shifts toward more sustainable pathways to address the crises, South America has the potential to benefit economically by leveraging its clean energy matrix and abundant reserves of critical minerals, positioning itself as a key supplier in the global transition toward renewable energy and electric mobility. However, challenges such as poverty, inequality, and political and economic instability often divert attention and resources away from environmental priorities, constraining the region’s ability to fully embrace and implement comprehensive environmental policies. Integrating decarbonization efforts with economic diversification objectives could help address environmental and developmental challenges simultaneously, building the necessary internal support for difficult policies. This approach is essential to avoid a new “green resource curse,” which, in South America, would mean remaining limited to being providers of natural resources, but now for a decarbonizing global economy. This scenario could perpetuate historical and persistent social, environmental, and economic challenges. A major obstacle to green industrialization in the region is “structural path dependency”—a phenomenon that typically affects regions heavily reliant on a few low-complexity economic sectors, limiting their capacity to diversify into more complex products. To address this challenge, significant socioeconomic and political efforts are needed. Restricted resources, limited institutional capacities, and heavy dependence on powerful stakeholders, typically linked to carbon-intensive and environmentally damaging activities, hinder effective environmental governance, often leading to a “race to the bottom” where regulatory leniency is granted to attract large extractive investments. Despite the obstacles, external and internal forces are driving positive changes in the region. International pressures, such as border carbon adjustments and environmental standards, are encouraging governments and companies to adopt greener practices. The region is introducing innovations in sustainable agriculture and agroecology, and developing novel technological approaches in the extractive sector. Local movements, civil society organizations, and feminist groups have played a very important role, consistently advocating for better environmental and social outcomes and more democratic decision-making. Their demands have contributed to gradually strengthening environmental institutions. A recent milestone in this direction was the signing of the Escazú Agreement, aimed to improve public access to environmental information and justice, among other initiatives. The region is also gradually advancing in climate policies under the Paris Agreement, as well as in biodiversity protection programs under the Kunming-Montreal Framework. Three key areas of work for a just transformation in the region include: (a) strengthening state capacities for environmental management through essential institutional reforms that empower environmental and social authorities while ensuring comprehensive policy integration across key areas; (b) empowering civil society and local communities and supporting vulnerable groups affected by the transition, as justice in reforms is vital for legitimacy, especially given budget constraints and historical injustices; and (c) advancing diplomatic efforts to elevate global discussions on climate justice and reparations, which are essential for securing financial support and addressing the region’s pervasive sense of injustice.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».