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- Circular economy and agriculture: mapping circular practices, drivers, and barriers for traditional table-olive grovesPublication . MARTINEZ MORENO, MARIA MAGDALENA; Buitrago Esquinas, Eva María; Yñiguez, Rocío; Puig-Cabrera, MiguelThe Circular Economy (CE) has notable potential for the economic, environmental, and social sustainability of agriculture. However, the literature on the CE has focused on the industrial sector, leaving significant gaps in the analysis of sustainable circular models in agriculture. In the case of traditional table-olive cultivation, which suffers from serious competitiveness problems, the possibilities of the CE are particularly relevant. Given the lack of previous research for the sector, this work aims to map the circular practices carried out in traditional tableolive groves and identify their drivers and barriers. To this end, an exploratory methodology of mixed approaches is proposed that combines desk research, observational fieldwork, focus groups with stakeholders and experts, and farmers’ in-depth interviews. This methodology can be generalised to other crops. The results obtained have enabled up to 59 practices to be brought to light throughout all stages of the life cycle of olive cultivation, which cover all the principles and strategies of the CE. Plant covers, the use of eco-efficient techniques, the repair and sharing of machinery and tools, and the management of organic outputs stand out. The collaborative economy and institutional support were identified as the main drivers, while technical-economic barriers and regulatory limitations constitute the main obstacles detected. Based on these results, three groups of recommendations are proposed as a guide to future policies for which certain CE practices are highlighted: increase financial incentives, create a stable legislative framework, and reinforce incentives for the collaborative economy.
- Developing a hetero-intelligence methodological framework for sustainable policy-making based on the assessment of large language modelsPublication . Buitrago Esquinas, Eva María; Puig-Cabrera, Miguel; Santos, José António C.; Custódio Santos, Margarida; Yñiguez, RocíoThis work delves into the increasing relevance of Large Language Models (LLMs) in the realm of sustainable policy-making, proposing an innovative hetero-intelligence framework that blends human and artificial intelligence (AI) for tackling modern sustainability challenges. The research methodology includes a hetero-intelligence performance test, which juxtaposes human intelligence with AI in the formulation and implementation of sustainable policies. After testing this hetero-intelligence methodology, seven steps are rigorously described so that it can be replicated in any sustainability planning related context. The results underscore the capabilities and limitations of LLMs, underscoring the critical role of human intelligence in enhancing the efficacy of hetero-intelligence systems. This work fulfils the need of a rigorous methodological framework based on empirical steps that can provide unbiased outcomes to be integrated into sustainable planning and decision-making processes.