From Trails to Tokens: FinTech Frontiers for Sustainable Stewardship and Transparent Governance in Protected Recreation Landscapes
トレイルからトークンへ:保護されたレクリエーション景観における持続可能な管理と透明なガバナンスのためのFinTechフロンティア (AI 翻訳)
D. Jacob, I. Jacob, K. Udofia, K. Daniel, S. Okweche, Emmanuel Dan, U. Akpan, P. Oko, Prince Evansly
🤖 gxceed AI 要約
日本語
本論文は、保護地域における信頼不足と資金の不透明さを解決するため、ブロックチェーンを用いたTrails-to-Tokens(T2T)モデルを提案する。アフリカの保護区の実証データを基に、スマートコントラクトによる自動収益分配と管理へのインセンティブ設計を行う。理論と実装への道筋を示し、透明性と包摂性を高めるガバナンスアーキテクチャを提供する。
English
This paper proposes a blockchain-based Trails-to-Tokens (T2T) model to address trust deficits and financial opacity in protected recreation landscapes. Drawing on empirical data from African protected areas, it uses smart contracts for automated revenue sharing and stewardship incentives. The framework provides an operational roadmap for transparent and inclusive governance, moving beyond conceptual discourse toward practical implementation.
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
本論文は日本固有の文脈には直接関連しないが、ブロックチェーンを用いた自然資本管理の新しいモデルとして、日本の国立公園や保護地域における持続可能な資金調達や透明性向上に応用可能性がある。特に、自然関連財務情報開示(TNFD)の枠組みとも親和性が高い。
In the global GX context
This paper contributes to global GX discourse by demonstrating how blockchain technology can enhance transparency and trust in conservation finance. It aligns with emerging frameworks like TNFD and ISSB, providing a practical example of digital solutions for natural capital stewardship. The model is particularly relevant for countries with decentralized protected area management seeking to improve revenue accountability.
👥 読者別の含意
🔬研究者:Researchers in conservation finance and blockchain governance can use the T2T model as a testable framework for empirical studies on trust and transparency in protected areas.
🏢実務担当者:Practitioners in park management and conservation finance can adopt the four-phase pilot protocol to design transparent revenue-sharing systems using smart contracts.
🏛政策担当者:Policymakers working on biodiversity financing and natural capital accounting can evaluate the model as a tool for enhancing accountability and community trust in protected landscapes.
📄 Abstract(原文)
Protected recreation landscapes grapple with a chronic trust deficit driven by financial opacity, operational leakage, and social inequity as challenges largely sustained by traditional cash-based revenue systems. This paper introduces the Trails-to-Tokens (T2T) model, a novel governance architecture designed to bridge the gap between physical stewardship interactions (Trails) and transparent,digital financial instruments (Tokens). Synthesizing Socio-Ecological Systems and Institutional Trust theories, the T2T framework utilizes blockchain-enabled smart contracts to automate revenue sharing and reward stewardship based on verifiable ecological and social outcomes. A key contribution of this paper is the transition from purely conceptual discourse to a data-informed architectural roadmap.The study internalizes empirical findings from African protected areas, where revenue accountability often shows significant downward trends and community trust remains low. The T2T model addresses these failures by providing an operationalization matrix and a fourphase pilot protocol intended for future empirical validation. By replacing discretionary human intermediaries with immutable digital ledgers, the model establishes a performance-linked social contract that is hypothesized to restore trust and foster financial resilience, provided the initial rule-setting is transparent. This paper offers a replicable methodology for conservation managers and policymakers, moving beyond aspirational digital trends toward a functional, transparent, and inclusive system for landscape governance. The result is a transformative approach that secures the long-term legitimacy of biodiversity financing through technological accountability and measurable stewardship.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.47852/bonviewfsi62028301first seen 2026-05-30 05:26:20 · last seen 2026-06-16 05:19:06
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