Market, Academic, and Policy Data for the Spatio-temporal Evolution of Global Blue Carbon
全球ブルーカーボンの時空間進化に関する市場、学術、政策データ (AI 翻訳)
Xin Yan
🤖 gxceed AI 要約
日本語
本データセットは、ブルーカーボン研究、炭素市場、政策認識の全球的発展を時空間的に分析する原稿を補完するものである。学術文献データ、炭素プロジェクト活動とクレジット発行データ、NDC等の政策文書のスコアリングデータを統合し、研究・市場・ガバナンスの整合性を示す。再現性と透明性を高め、気候政策や炭素市場に関心のある研究者・政策立案者に有用。
English
This dataset supports a manuscript analyzing the spatio-temporal evolution of global blue carbon across research, carbon markets, and policy. It integrates bibliometric data, carbon project and credit issuance records, and country-level policy scores from NDCs. It enables reproduction of spatial and temporal analyses of alignment between science, finance, and governance for nature-based climate solutions.
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
日本ではブルーカーボン生態系（藻場・干潟等）が注目されており、Jブルークレジット制度や国連気候変動枠組条約への提出にも関連する。本データセットは、日本のブルーカーボン政策の国際比較や市場設計の参考になる。
In the global GX context
Blue carbon is increasingly recognized in global climate policy and voluntary carbon markets. This dataset provides a comprehensive view of how research, market activity, and policy alignment vary across countries, informing the integration of coastal ecosystems into NDCs and carbon accounting frameworks like the Paris Agreement.
👥 読者別の含意
🔬研究者:Provides a multi-dimensional dataset to study the science-policy-market interface for blue carbon, enabling replication and extension of spatio-temporal analyses.
🏢実務担当者:Useful for identifying countries with high blue carbon potential and policy readiness, guiding project development and market engagement strategies.
🏛政策担当者:Highlights gaps and misalignments between research, market implementation, and policy recognition, informing evidence-based coastal conservation and climate mitigation planning.
📄 Abstract（原文）
This dataset provides the supporting data and documentation for the manuscript “How do science and market mechanisms shape the spatio-temporal evolution of global blue carbon policy?”. The study examines the global development of blue carbon research, carbon market engagement, and policy recognition, with a focus on their spatial and temporal consistency across countries. The dataset integrates three major dimensions of the global blue carbon landscape: academic research, carbon market activity, and policy/governance recognition. Academic data were compiled from bibliometric records related to blue carbon research. Market data summarizes blue carbon and wetland-related carbon project activities and credit issuance patterns across major voluntary and compliance carbon markets. Policy data were derived from Nationally Determined Contributions (NDCs) and related policy documents, with country-level scoring used to assess the extent to which coastal blue carbon ecosystems are recognized, explicitly framed as carbon sinks or mitigation resources, and operationalized through targets, monitoring, reporting, and verification, finance mechanisms, or greenhouse gas inventory integration. These data support the manuscript’s analysis of how blue carbon has evolved across the research–market–governance interface. The files enable the reproduction of key spatial and temporal analyses, including country-level blue carbon policy scores, temporal trends in academic, market, and governance indicators, and spatial consistency typologies that identify where research attention, market implementation, and policy recognition are aligned or disconnected. The dataset is intended to improve transparency, reproducibility, and reuse of the evidence base developed in the associated study. It may be useful for researchers, policymakers, and practitioners interested in blue carbon governance, climate policy, carbon markets, coastal wetland conservation, and the integration of science, finance, and policy for nature-based climate solutions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20277995first seen 2026-06-07 04:42:49
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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。