The Environmental Return on Sustainability Systems
サステナビリティシステムの環境的投資収益率 (AI 翻訳)
Janos Gabor Melegh
🤖 gxceed AI 要約
日本語
本論文は、ICT・インフラシステムの環境持続可能性を財務投資判断に統合するための定量的フレームワークを開発。エコロジカルフットプリントをグローバルヘクタールで測定し、生態系サービス価値等を通じて金銭換価することで、環境影響を財務指標と直接比較可能にする。新しい指標EROS(環境的サステナビリティ収益率)により、省エネ・仮想化等のグリーン設計が従来システムより経済的にも優れることを立証した。
English
This paper presents a quantitative framework integrating environmental sustainability into financial investment decisions for ICT and infrastructure. It converts ecological footprint (measured in global hectares) into monetary value via ecosystem service valuation and carbon cost equivalence, enabling direct comparison with financial metrics like NPV and ROI. The resulting Environmental Return on Sustainability (EROS) metric shows that energy-efficient, virtualized system designs outperform conventional ones both environmentally and economically in 3-7 year horizons when externalities are internalized.
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SSBJ開示基準や有報でのサステナビリティ情報充実が進むが、環境情報を財務判断に直接結びつける手法は不足している。本フレームワークは、日本企業がグリーン投資の経済性を経営層や投資家に説明するための統一指標を提供し、統合報告書や資本予算策定への応用が期待される。
In the global GX context
As global frameworks like ISSB, CSRD, and SEC climate rules push for integrated reporting, the disconnect between environmental metrics and financial decision-making remains a key challenge. This paper bridges that gap by monetizing ecological footprint into standard financial tools (NPV, ROI), producing a financially interpretable sustainability return. The EROS indicator offers a practical method for companies to justify green investments and for regulators to design incentive schemes based on real environmental-financial performance.
👥 読者別の含意
🔬研究者:The paper provides a replicable method for monetizing ecological footprint into financial metrics, opening avenues for empirical testing across sectors.
🏢実務担当者:Corporate sustainability and finance teams can adopt the EROS metric to evaluate green ICT/infrastructure investments and communicate environmental value in financial terms.
📄 Abstract(原文)
This research develops a quantitative framework that integrates environmental sustainability into financial investment decision-making for ICT and infrastructure systems. While sustainability policies, ESG reporting and carbon accounting have become standard in modern enterprises, they remain weakly connected to the capital allocation mechanisms that determine real investment outcomes. Environmental impacts are typically expressed in physical units such as CO₂ emissions, energy consumption, or land use, but these indicators are not directly compatible with financial metrics such as return on investment, net present value, or total cost of ownership. As a result, environmentally superior system designs are frequently rejected because their benefits cannot be evaluated within conventional economic decision models. To address this structural disconnect, the research introduces a formal decision-support model that treats environmental impact as a first-class economic variable. The core of the framework is a conversion mechanism that translates ecological footprint, measured in global hectares (gha), into monetary value expressed in euros. Global hectares capture the biologically productive land area required to sustain a system’s resource use and emissions across its full life cycle. By monetizing this footprint through ecosystem service valuation, carbon cost equivalence, and long-term externality pricing, the model makes environmental impact directly comparable to financial costs and benefits. This environmental valuation is embedded into standard financial analysis tools, including total cost of ownership, net present value, break-even analysis, and return on investment. The resulting composite indicator, termed Environmental Return on Sustainability (EROS), measures how much ecological and financial value a sustainability-optimized system produces relative to its investment cost. This allows green system architectures and conventional high-emission alternatives to be evaluated on a single, coherent quantitative scale. When applied to ICT and infrastructure scenarios, the model demonstrates that systems optimized for energy efficiency, virtualization, and reduced material intensity consistently generate significantly lower ecological footprints over their operational lifetime. When these reductions are converted into monetary terms, sustainability-focused architectures reach break-even earlier than conventional systems in medium-term investment horizons, typically between three and seven years. In multiple simulated scenarios, environmentally optimized systems outperform high-emission designs not only in environmental terms but also in overall economic performance once external environmental costs are internalized. The key scientific contribution of this research is the establishment of a unified environmental–economic valuation framework that enables formal optimization rather than descriptive reporting. Unlike traditional ESG or carbon accounting approaches, the model produces financially interpretable outputs that integrate directly into corporate finance and capital budgeting processes. Sustainability is therefore no longer treated as a regulatory constraint or reputational factor, but as an optimizable investment parameter. From a practical and policy perspective, the framework provides enterprises, public institutions, and regulators with a tool to evaluate green investments using defensible financial metrics, justify sustainability expenditures in capital allocation decisions, and design incentive schemes based on real environmental return on investment rather than abstract ESG scores. Overall, the research demonstrates that sustainability can be transformed from a qualitative policy goal into a quantitative investment strategy that simultaneously improves ecological and economic performance.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.2139/ssrn.6054614first seen 2026-05-15 17:29:33
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