AI and the Economics of Everyday Environmental Behavior: A Teenager?s Circular Micro-Garden System at Home

Khachatur Babayan ()
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Khachatur Babayan: Burnaby Mountain Secondary School

No 15816983, Proceedings of Economics and Finance Conferences from International Institute of Social and Economic Sciences

Abstract: This paper explores how artificial intelligence (AI) can support everyday environmental behavior through a narrative case study of one high-school student who transformed a small apartment balcony into a circular micro-garden system. Using kitchen scraps, recycled containers and free AI tools such as ChatGPT and QualiGPT, the student created a household loop where waste became inputs, plants reduced packaging demand and AI guided efficient decision-making. The project demonstrates how AI supports real-time environmental learning by offering personalized explanations, troubleshooting plant-health issues through image analysis and reducing uncertainty around recycling choices. Findings show that AI increased confidence, reduced resource waste and strengthened long-term thinking, which are the key principles in Environmental Economics. While small in scale, the micro-garden functioned as a miniature circular economy shaped by AI-enhanced decision-making. The study suggests that when AI meets hands-on sustainability tasks, teenagers can meaningfully participate in environmental stewardship, reducing waste and practicing household-level resource optimization.

Keywords: Artificial intelligence; Circular economy; Environmental behavior; Micro-gardening; Sustainability (search for similar items in EconPapers)
Pages: 14 pages
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Published in Proceedings of the Proceedings of the International Conference on Economics, Finance & Business, Berlin, Nov -0001, pages 11-24

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Persistent link: https://EconPapers.repec.org/RePEc:sek:iefpro:15816983

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