Modeling Food Market Dynamics Response to Climate Shocks in Karnataka to estimate Minimum Support Price Responses
カルナータカ州の気候ショックに対する食料市場ダイナミクスのモデリングと最低支持価格応答の推定 (AI 翻訳)
Sustainability Data Science Conference, Stanford University Program in Data Science, Stanford University Stanford Doerr School of Sustainability, Aarabhi Achanta, Jennifer Burney
🤖 gxceed AI 要約
日本語
本研究では、カルナータカ州の食料経済のエージェントベースモデルを開発し、気候ショックが市場価格に与える影響と最低支持価格（MSP）の役割を定量化した。シミュレーションにより、MSPが価格リスクの負担者や財政負担に与える影響を分析し、政策の安定化効果と不平等への影響を評価している。
English
This study develops an agent-based model of Karnataka's food economy to investigate how climate shocks propagate through markets and the role of Minimum Support Price (MSP). By simulating scenarios with and without MSP, it quantifies fiscal burdens, price risk incidence, and welfare effects, offering insights into policy stabilization and inequality.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
インドの州レベルの事例であり、日本への直接的な関連性は低いが、気候変動下での農業政策のモデリング手法は参考になる。
In the global GX context
While focused on India, this agent-based modeling approach for climate shock impacts on food markets and price support policies offers a transferable methodology for global climate adaptation research.
👥 読者別の含意
🔬研究者:This agent-based modeling approach provides insights into how climate shocks affect food markets and the fiscal implications of price support policies.
📄 Abstract（原文）
This project develops an agent-based model of Karnataka’s food economy to investigate the mechanisms that generate observed distributions and temporal patterns of food prices. The model uses a data‑driven digital twin calibrated with district‑level economic indicators and historical price series, then perturbs production through varying growing conditions to examine how climate shocks propagate through markets. Within this framework, the study focuses on the role of the Minimum Support Price (MSP) and associated subsidies, quantifying how often market prices trigger MSP interventions, how large the resulting fiscal burden becomes, and how these public support costs evolve across normal years and monsoon‑related shocks. By comparing scenarios with and without MSP, the model measures who bears the incidence of price risk, how changes to MSP parameters affect producer and consumer welfare, and whether MSP stabilisation amplifies or mitigates inequality, using derivative statistics constructed from simulated price, income, and wealth distributions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.25740/wv959rv6641first seen 2026-05-05 19:16:56
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。