https://ir.lib.ncu.edu.tw/handle/987654321/100670 培養企業領導三種能力---關懷人類永續議題、具備人文環境知識，並有終身學習能力，成為本學程發展方針。 Search the Channel s https://ir.lib.ncu.edu.tw/simple-search https://ir.lib.ncu.edu.tw/handle/987654321/110130 title: 亞洲自然解方案例之比較研究：以 IUCN 自然解方全球標準與影響力管理規範為分析架構;A Comparative Analysis of Nature-based Solutions in Asia: An Analytical Framework Based on the IUCN Global Standard and Impact Management Norms abstract: 自然解方（Nature-based Solutions， NbS）近年被視為回應氣候變遷、災害風險、生物多樣性喪失、糧食安全、水安全、社會經濟發展及人類健康等挑戰的重要途徑。亞洲地區面臨多重氣候與環境壓力，相關 NbS 案例逐漸增加，但既有研究多聚焦於單一個案、特定生態系或特定效益，較少以一致的分類與成果評估架構進行跨案例比較。因此，本研究希望建立一套可用於比較亞洲 NbS 案例的分析框架，並進一步檢視此框架應用於實際案例資料時的可行性。 本研究有兩項主要目的。第一，結合國際自然保護聯盟（IUCN）自然解方全球標準、NbS 途徑分類及 IUCN 全球生態系分類系統，建立挑戰類型、解方類型，以及「界－生物群系－生態系功能群」的分類架構；同時參考影響力管理規範，將案例成果區分為人類本位成果與地球本位成果，並評估其衡量成熟度與成果量化成熟度。第二，運用透過系統化檢索亞太氣候變遷調適資訊平台（AP-PLAT）資料庫所取得之 72 個亞洲 NbS 案例，實際應用此分析框架，以檢視不同案例在分類與成果證據呈現上的差異。 研究結果顯示，亞洲 NbS 案例涵蓋多元社會挑戰與生態系脈絡，並非僅限於自然保育或生態復育，而是廣泛應用於都市洪水管理、海岸保護、紅樹林復育、氣候智慧農業、社區林業、水資源管理及傳統農業地景維護等領域。五類解方類型可有效說明不同案例的運作邏輯，包括生態復育、生態保護、基礎設施相關方法、議題導向的生態系方法，以及生態系管理方法。研究亦發現，多數案例的衡量成熟度高於成果量化成熟度，表示案例通常能指出成果項目或指標，但較少提供成果規模、深度或持續期間的明確證據。整體而言，本研究提出一套可比較亞洲 NbS 案例的分析架構，並指出未來 NbS 研究與實務應強化成果量化、長期監測及案例資料透明度。 關鍵字：自然解方、亞洲、IUCN 全球標準、生態系分類、成果成熟度;This study examines Nature-based Solutions (NbS) cases in Asia and explores how different cases respond to climate change， disaster risk， biodiversity loss， food security， water security， social and economic development， and human health challenges. In Asia， NbS cases have increased in response to multiple climate and environmental pressures. However， many existing studies focus on single cases， specific ecosystems， or specific benefits. Fewer studies compare Asian NbS cases through a consistent classification and outcome assessment framework. Therefore， this study aims to develop an analytical framework for comparing Asian NbS cases and to examine the feasibility of applying this framework to real case materials. This study has two main objectives. First， it develops a classification framework based on the IUCN Global Standard for Nature-based Solutions， NbS approach categories， and the IUCN Global Ecosystem Typology. The framework classifies cases by Challenge Type， Solution Type， and Realm-Biome-Ecosystem Functional Group. It also draws on the logic of Impact Management Norms to divide outcomes into human-centric outcomes and planet-centric outcomes， and further assesses Measurement Maturity and How-Much Maturity. Second， it applies the framework to a complete dataset of 72 Asian NbS case studies systematically retrieved from the Asia-Pacific Climate Change Adaptation Information Platform (AP-PLAT) database to examine how the framework works in practice. The results show that Asian NbS cases cover diverse societal challenges and ecosystem contexts. They are not limited to nature conservation or ecological restoration， but are also applied to urban stormwater management， coastal protection， mangrove restoration， climate-smart agriculture， community forestry， water resource management， and traditional agricultural landscape management. The five Solution Types help explain the different operational logics of the cases， including ecosystem restoration approaches， ecosystem protection approaches， infrastructure-related approaches， issue-specific ecosystem-related approaches， and ecosystem-based management approaches. The study also finds that Measurement Maturity is generally higher than How-Much Maturity. This means that most cases can identify outcome items or indicators， but fewer cases provide clear evidence on the scale， depth， or duration of outcomes. Overall， this study provides an analytical framework for comparing Asian NbS cases and suggests that future NbS research and practice should strengthen outcome quantification， long-term monitoring， and transparency in case documentation. Keywords: Nature-based Solutions， Asia， IUCN Global Standard， ecosystem classification， outcome maturity <br> Tue, 20 Oct 2026 07:16:51 GMT https://ir.lib.ncu.edu.tw/handle/987654321/110128 title: 產業園區周邊多介質環境品質監測與評估：以中壢產業園區為例;Multi-Media Environmental Quality Monitoring and Assessment in the Vicinity of an Industrial Park: A Case Study of Zhongli Industrial Park abstract: 產業園區聚集多元產業，其環境負荷難以單憑任一介質之監測資料完整呈現，然既有文獻 多僅針對空氣、水或地下水單一介質進行評估，尚無研究建立一套可同時適用於七大監測領域 之共通指標與分析方法，並驗證其於實際運作中之可行性。本研究旨在辨識產業園區多介質環 境品質監測之適用指標與對應分析方法，並以中壢產業園區為個案，運用三年期監測資料驗證 其可行性與可操作性。本研究以桃園市中壢產業園區民國112至114年環境空氣、飲用水、河 川水、地下水、噪音、海岸水質及酸雨等七項領域之監測資料為對象，結合曼－肯德爾趨勢檢 定、森氏斜率估計、NSF水質指數（WQI）及地下水品質指數（GQI），並建立季度合規熱點 圖與紅、黃、綠三級燈號分級制度，將複雜資料轉化為一目了然之風險總覽。 結果顯示，河川水質及中福公園地下水為嚴重程度最高（紅燈）之領域：黃墘溪兩測站 NH₃-N與糞大腸桿菌群連續三年全數超標，中福公園監測井持續呈現極高至高風險之GQI評 等。空氣品質雖十一項指標中六項顯著改善，PM₂.₅仍持續超過國內外標準；內定國小地下水 PCE多次超標；噪音、海岸水質及酸雨則大致穩定並呈改善趨勢，但尚未完全達標；飲用水三 年100%合規，內壢國中地下水井風險最低但鐵濃度嚴重偏高。此外，黃墘溪下游中福橋站相 對上游測站，導電度與鋅濃度呈異常上升，顯示兩站間可能存在未明排放來源。上述結果證實 本研究所建立之指標與方法可於實際監測條件下運作，成功將七大領域整合為單一可比較之風 險總覽，為產業園區經營者及環保主管機關提供一套可移轉之管理排序工具。;Industrial parks cluster diverse industries whose combined environmental burden cannot be adequately captured by any single monitoring medium， yet existing studies remain confined largely to single-medium assessments， air， water， or groundwater alone， with no established framework of indicators and analytical methods applicable consistently across all mandated domains， nor evidence that such a framework is workable under real operating conditions. This thesis therefore aims to identify indicators and matched analytical methods suitable for multi-media environmental quality monitoring at industrial parks， and to verify their feasibility and operability through a three-year case study at Zhongli Industrial Park， Taoyuan， Taiwan. Drawing on ROC Years 112–114 (2023–2025) monitoring data across seven domains， ambient air quality， drinking water quality， river water quality， groundwater quality， noise， coastal water quality， and acid rain， this study applies Mann-Kendall trend testing， Sen′s slope estimation， the NSF Water Quality Index， and a Groundwater Quality Index， together with purpose-built quarterly compliance heatmaps and a red/yellow/green severity-ranking scheme， to translate this multi-parameter dataset into an at-a-glance risk overview. Results identify river water quality and groundwater at Zhongfu Park as the highest-severity (Red) domains， with NH₃-N and fecal coliform exceeding standards in all 24 quarterly records on the Huangquan River and Very High to High GQI risk at Zhongfu Park throughout. PM₂.₅ remained above Taiwan and WHO standards despite improvement in six of eleven other air-quality parameters; PCE repeatedly exceeded standard at Neiding Elementary groundwater; noise， coastal water， and acid rain were broadly stable to improving but not yet fully compliant; and drinking water achieved full three year compliance， with the Neili Junior High well the lowest-risk site despite pronounced iron enrichment. A rising electrical conductivity and zinc signal at the downstream Zhongfu Bridge station relative to the upstream station points to a possible unidentified discharge source. These findings confirm that the proposed indicator set and analytical framework are feasible and operable under real monitoring conditions， offering industrial park operators and environmental authorities a transferable tool for prioritising monitoring and management resources. <br> Tue, 20 Oct 2026 07:16:27 GMT https://ir.lib.ncu.edu.tw/handle/987654321/110124 title: Applying the Align Accounting Framework to Assess Biodiversity Benefits of Land Restoration: A Case Study of Reforestation Project in Mongolia;Applying the Align Accounting Framework to Assess Biodiversity Benefits of Land Restoration: A Case Study of Reforestation Project in Mongolia abstract: 全球生物多樣性喪失亟需超越種苗數量等表面指標的標準化量測機制。本研 究建構一套多時序遙測評估框架，用以檢定造林的生態反應是否可被偵測，對象為 一個台灣非營利組織(NPO)於蒙古國「一億棵樹」運動下設立的三個造林樣點，橫跨 冷半乾旱草原(BSk)、乾冬冷夏大陸性(Dwc)與冷沙漠(BWk)三個氣候帶，並明確對 應「對齊自然會計方法」(Align， 2022)國際標準。 研究於 Google Earth Engine 中整合 Sentinel-2 影像、隨機森林地表覆蓋分類 (整體精度 87.76%)、地景結構指標與 CASA 生產力模式，以量測生態系統範圍 (Extent)及生態系統狀況的結構面與功能面;造林效果則以中斷時間序列設計，在前 後等長窗期上相對於反事實基線估計，並以降水為穩健性控制、NDVI 為敏感度對 照。 結果依構面而分歧。Extent 與 Structure 於兩個有植被的樣點呈溫和正向:木 本面積擴張，斑塊整合為更大、更具優勢的林分;冷沙漠樣點未偵測到木本植被，其穩 定草地較宜判讀為對沙漠化的抵抗。Functioning 則於任一樣點皆未確立效果:原始 前後比較中最大的生產力增幅，經分解後淨效果與零無法區分;唯一的邊緣訊號在 控制降雨後消散;NDVI 亦從未達顯著。 此 null 反映可偵測性而非造林失敗:林齡僅二至四年、苗木冠幅相對於 10 公 尺像元過小、水分變異主導生產力訊號。本框架的貢獻在於合併報告 Align 各構 面、並以反事實檢定介入效果，證明結構增益不得被轉換為功能宣稱，可作為 NPO 造林計畫在 TNFD 及昆明—蒙特婁全球生物多樣性框架下報告的可擴展模板。;Global biodiversity loss demands standardized mechanisms for quantifying restoration outcomes beyond seedling-count metrics. This study constructs a multi-temporal remote-sensing framework to test， rather than presume， whether an afforestation effect is detectable at three sites established by a Taiwan-based non-profit organization (NPO) under Mongolia′s &quot;One Billion Trees&quot; National Movement， spanning cold semi-arid steppe (BSk)， dry-winter cold-summer continental (Dwc)， and cold desert (BWk) zones， and explicitly aligned with the Align (2022) standard for corporate biodiversity measurement. Sentinel-2 imagery， a Random Forest land-cover classification (overall accuracy 87.76%)， landscape-structure metrics， and the CASA productivity model are integrated in Google Earth Engine to instrument Ecosystem Extent and the structural and functional facets of Ecosystem Condition. The afforestation effect is estimated by an interrupted time-series design against a counterfactual baseline over symmetric pre- and post-intervention windows， with precipitation as a robustness control and NDVI as a sensitivity comparator. The results diverge by dimension. Extent and Structure are modestly positive at the two vegetated sites， where woody area expanded and patches consolidated into larger， more dominant stands; the cold-desert site records no woody vegetation， its stable grassland better read as resistance to desertification. Functioning shows no established effect at any site: the largest raw pre/post increase in productivity resolves into a net effect indistinguishable from zero， the one marginal signal dissolves once rainfall is controlled， and NDVI never attains significance. The null reflects detectability rather than intervention failure: stands are two to four years old， crowns small against a 10 m pixel， and moisture variability dominates the productivity signal. By reporting the Align dimensions jointly and testing the intervention against a counterfactual， the framework shows that a structural gain cannot be converted into a functional claim， offering a scalable template for NPO-led afforestation reporting under the TNFD and Kunming–Montreal Global Biodiversity Framework. <br> Tue, 20 Oct 2026 07:16:10 GMT https://ir.lib.ncu.edu.tw/handle/987654321/110122 title: Carbon Isn′t Priced — Trust Is: The Credibility Paradox in Thailand′s Emerging Capital Market;Carbon Isn′t Priced — Trust Is: The Credibility Paradox in Thailand′s Emerging Capital Market abstract: 本研究探討泰國股票市場如何對企業永續揭露進行定價。以2020年至2024年間61家SET100高排放上市公司為研究對象，本研究提出「信譽悖論」框架，主張在泰國自願揭露環境下，投資者重視資訊可信度，而非碳排放表現本身。 研究發現，碳排放強度與企業價值無顯著關聯，ESG聲譽則與正向市場溢價相關。第三方碳核查雖帶來實際成本，卻未能轉化為相應的市場估值效益，顯示信譽投資先於市場認可。ESG溢價具有條件性，取決於財務背景：僅存在於低股息收益率企業，在高股息收益率企業中消失，支持信號替代機制的存在。 上述發現豐富了新興市場碳定價文獻，並對泰國永續揭露政策與排放交易制度設計具有直接參考價值。;This study examines how Thai equity markets price corporate sustainability disclosures. Using a panel of 61 high-emission SET100-listed firms over 2020–2024， we develop the Credibility Paradox framework， arguing that investors reward disclosure credibility rather than underlying carbon performance in Thailand′s voluntary disclosure environment. We find that carbon emissions intensity shows no association with firm value， while ESG reputation commands a meaningful market premium. Third-party verification imposes real accounting costs without generating a corresponding valuation benefit， suggesting that credibility investments precede market recognition. The ESG premium is conditional on financial context: it exists only among firms with low dividend yields and disappears where strong financial signals already reduce investor uncertainty， consistent with a signal substitutability mechanism. These findings contribute to the literature on carbon pricing in emerging markets and carry direct implications for Thailand′s sustainability disclosure policy and anticipated Emissions Trading Scheme. <br> Tue, 20 Oct 2026 07:15:57 GMT