Scalable biochar-enriched agriculture model assessing financial viability of the sustainable temporary use for brownfields: the Špitálka case
ブラウンフィールドの一時的農業利用の財務評価:バイオ炭土壌を用いたシュピタルカ事例 (AI 翻訳)
Ladislava Issever Grochová, Marek Litzman, V. Solilová, H. Dvořáčková
🤖 gxceed AI 要約
日本語
本論文は、ブラウンフィールドの一時的農業利用の財務的持続可能性を評価するシミュレーションモデルを提示する。チェコのシュピタルカを事例に、バイオ炭入り土壌を用いたコミュニティガーデンと社会的農場の2モデルを比較し、炭素クレジット収入や補助金の影響を分析。結果、補助金が鍵であり、コミュニティガーデンの方が自立可能性が高いことが示された。
English
This paper presents a simulation model assessing the financial viability of temporary agricultural use of brownfields, using the Špitálka site in Brno, Czechia as a case study. It compares Social Farming and Community Garden models with biochar-enriched soil, integrating revenue from carbon credits and subsidies. Results show subsidies are decisive for survival, with the Community Garden variant showing higher self-sustainability potential.
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
日本ではブラウンフィールド問題は都市部で顕在化しつつあり、特に地方の遊休地活用に示唆を与える。炭素クレジット市場の活用は日本の農業分野でのJクレジット制度と連動可能で、自治体の土地利用戦略に応用できよう。
In the global GX context
This paper contributes to global discourse on brownfield redevelopment and urban agriculture, highlighting the role of carbon credits and subsidies in financing temporary land uses. It offers a replicable financial model applicable to post-industrial cities facing land vacancy and circular economy transitions.
👥 読者別の含意
🔬研究者:The LCC-NPV model provides a framework for evaluating financial viability of temporary land use with carbon credit revenue.
🏢実務担当者:Municipalities can use the model to assess subsidy and carbon credit combinations for brownfield agriculture projects.
🏛政策担当者:The findings inform design of subsidy programs and carbon credit mechanisms for sustainable urban agriculture.
📄 Abstract(原文)
Brownfield sites present significant urban development challenges across Europe, often remaining unmanaged due to the substantial costs of physical restructuring and a lack of systematic funding, even for transitional uses. This research addresses the financing gap in temporary urban agricultural projects on brownfield sites. Specifically examining social farming and community garden models as vehicles for financial self-sufficiency, framed within the principles of a circular economy encompassing nutrient recycling, waste valorization, and extended land use cycles. The study employs a simulation model based on life cycle costing and net present value to analyze project survival from the perspective of a municipal investor. The model was applied to the Špitálka brownfield site in Brno, Czechia, as a linearly scalable case study. The analysis integrates diverse revenue streams, including voluntary carbon certificate markets, various national and EU subsidy programs, and raised bed rental revenue. The economic viability of installing raised garden beds containing biochar-enriched soil was evaluated across two project variants: a Social Farming model and a Community Garden model. The results indicate that while carbon offsets are economically marginal, the strategic combination of labor and establishment subsidies is the decisive factor for financial survival. The Community Garden variant demonstrated a higher potential for self-sustainability (BCR > 1.0) due to its lower labor intensity and user rental income. Conversely, the Social Farming variant requires a subsidy of nearly 100% to achieve a break-even threshold (NPV = 0). While the Community Garden model shows stronger prospects for financial independence, the Social Farming variant serves as a vital social cohesion tool whose value extends beyond purely economic metrics. The findings provide a framework for municipalities to temporarily transform abandoned post-industrial areas before their ultimate redevelopment into productive urban spaces that generate societal, environmental, and fiscal benefits. R14, R52, Q24
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3389/frsc.2026.1788048first seen 2026-07-01 05:48:57
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