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研究生: 彭衍霖
Peng, Yan-Lin
論文名稱: 雙軌碳市場下的非對稱演化博弈:新興經濟體觀點
Asymmetric Evolutionary Games under a Dual-Track Carbon Market: A Perspective from Emerging Economies
指導教授: 顏盟峯
Yen, Meng-Feng
丁顥
Tieng, Hao
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 82
中文關鍵詞: 演化博弈理論雙軌碳市場非對稱賽局碳費供應鏈減碳
外文關鍵詞: evolutionary game theory, dual-track carbon market, asymmetric game, carbon fee, supply chain decarbonization
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  • 本論文建構三方非對稱演化博弈模型,探討台灣雙軌碳市場下政府、大排放源與小排放源之策略互動。研究以台灣2026年碳費制度為背景,將強制性碳費制度與自願性減量市場納入同一分析架構,透過解析推導與數值模擬獲得兩項核心發現:其一,系統雖可收斂至政府積極監管、大排放源低碳轉型、小排放源參與自願減量之社會最適均衡,惟此一均衡主要由聲譽機制與供應鏈誘因驅動,而非單純依靠碳費費率調整;其二,小排放源之參與存在可解析求得之條件式門檻——在政府積極監管下,大排放源低碳轉型機率約超過2.5%時,小排放源之參與收益即由負轉正。此門檻數值甚低,顯示在現行制度參數下,「以大帶小」機制之啟動條件相對容易滿足;政策重點因此不在於跨越門檻本身,而在於維持門檻成立所依賴之供應鏈收益、聲譽機制等結構性條件,並使門檻跨越後的參與誘因轉化為實際擴散。
    模型以監管成本、碳費費率、聲譽損失、減碳技術成本、MRV成本與供應鏈收益等參數進行敏感度分析,辨識各參數之角色差異:減碳技術成本、企業聲譽損失、供應鏈收益與環境效益屬決定均衡方向之關鍵參數,並各自存在可量化之反轉閾值;碳費費率與MRV成本等則屬低敏感參數,其變動主要影響收斂速度而非最終方向。
    政策意涵上,本研究建議台灣應優先降低大排放源之低碳轉型技術成本、強化強制性碳揭露與聲譽機制,並支持大型排放源帶動供應鏈轉型;MRV成本經重新校準後屬低敏感參數,降低查驗成本雖有助於減輕中小企業行政負擔,惟不宜作為主要政策槓桿。本研究之貢獻有三:理論上,將強制性碳費與自願性減量市場整合為政府—大排放源—小排放源之三方非對稱演化賽局,並推導小排放源參與門檻之封閉解;實務上,以台灣2026年碳費制度參數完成此一雙軌制度之演化賽局量化校準,提供各關鍵參數之反轉閾值;政策上,據此為《氣候變遷因應法》下之差別化碳費設計、供應鏈減碳政策與中小企業低碳轉型提供量化參考。

    This thesis develops a three-party asymmetric evolutionary game model to examine the strategic interactions among the government, large emitters, and small emitters under Taiwan’s dual-track carbon market. Based on Taiwan’s 2026 carbon fee framework, this study integrates the mandatory carbon fee system and the voluntary emission reduction market, and uses numerical simulations to analyze how regulatory costs, carbon fee rates, reputational losses, abatement technology costs, MRV costs, and supply-chain benefits affect evolutionary outcomes.
    The results show that the system can converge to the socially optimal equilibrium of active regulation, low-carbon transition, and voluntary participation. However, this outcome is driven mainly by reputational mechanisms and supply-chain incentives rather than carbon fee adjustments alone. Small emitter participation is activated only when the transition probability of large emitters exceeds the critical threshold of 2.5%, highlighting the key role of large lead firms in supply-chain decarbonization. Given that this threshold is low under current institutional parameters, the policy focus should shift from crossing the threshold to sustaining the structural conditions—supply-chain revenues and reputational mechanisms—on which it rests.
    This study suggests that Taiwan should prioritize reducing abatement technology costs, strengthen mandatory carbon disclosure and reputational mechanisms, and support large emitters in driving supply-chain transition; MRV costs, recalibrated as a low-sensitivity parameter, should not serve as a primary policy lever. The findings provide quantitative references for differentiated carbon fee design, supply-chain decarbonization policies, and SME low-carbon transition under Taiwan’s Climate Change Response Act.
    The contributions are threefold: a unified three-party asymmetric evolutionary game integrating mandatory carbon fees with a voluntary reduction market, including a closed-form participation threshold; the first game-theoretic quantitative calibration of Taiwan's 2026 dual-track carbon fee system; and quantitative benchmarks for differentiated carbon fee design and SME low-carbon transition policies.

    中文摘要 3 Abstract 4 誌謝 9 目錄 10 表目錄 13 圖目錄 14 第1章 緒論 16 1.1 研究動機 16 1.2 研究目的 18 1.3 研究貢獻 20 第2章 文獻探討 21 2.1 政府碳定價機制與誘因設計 21 2.1.1 碳費制度下的收入再分配 22 2.1.2 動態誘因與差別化補貼機制 22 2.1.3 新興經濟體碳定價制度發展現況 23 2.2 大小排放源之互動:基於不對稱性的共生策略 24 2.2.1 資源不對稱下的合作誘因:以大帶小的減碳模式 24 2.2.2 低碳壓力下的協作行為:既有模型的解釋力與侷限 24 2.3 小排放源的關鍵考量:參與動機與轉型障礙 26 2.3.1 供應鏈的轉型誘因與潛在利潤機會 26 2.3.2 多元制度下的策略性參與與價格誘因 27 2.3.3 小排放源面臨的制度門檻與資源限制 27 2.4 碳減排策略對供應鏈收益與運營績效之影響 28 2.4.1 減排與不減排企業的收益差距與閾值效應 28 2.4.2 消費者異質性與公平關切對競爭優勢的影響 30 2.4.3 供應鏈權力結構與合作模式的調節作用 30 2.5 環境資訊揭露與聲譽機制 30 2.5.1 環境資訊揭露的非正式監管效果 31 2.5.2 企業環境行為的市場評價與聲譽成本 31 2.5.3 聲譽成本的衡量限制與政府問責機制 32 2.6 演化博弈與微分博弈於環境政策互動中的應用 33 2.6.1 微分博弈模型與連續時間決策分析 33 2.6.2 演化博弈模型與有限理性的動態模擬 34 2.7 文獻評析與研究缺口 34 第3章 研究方法 36 3.1 研究架構 36 3.2 模型假設 37 3.3 參數定義與符號說明 38 3.4 收益矩陣建構 42 3.5 從收益矩陣到複製動態方程 44 3.6 三方複製動態方程 45 3.7 演化穩定性分析方法 46 3.8 數值模擬設計 49 第4章 研究結果 51 4.1 相位圖分析 51 4.1.1 固定小排放者參與率:政府與大排放者的演化動態 51 4.1.2 固定大排放者低碳率:政府與小排放者的演化動態 53 4.1.3 臨界值邊界驗證:y = 0.025 55 4.1.4 固定政府監管率:大排放者與小排放者的演化動態 57 4.2 敏感度分析 59 4.2.1 關鍵參數:C_L(低碳轉型技術成本) 59 4.2.2 關鍵參數:E_L(大排放源排放量) 60 4.2.3 關鍵參數:C_g(政府監管成本) 61 4.2.4 關鍵參數:L_e(企業聲譽損失) 61 4.2.5 關鍵參數:R_{S2}(小排放者供應鏈額外收入規模) 62 4.2.6 關鍵參數:R_g(環境效益) 63 4.2.7 中度敏感參數:R_{L2}(大排放源綠色溢價收益) 64 4.2.8 中度敏感參數:L_g(政府聲譽損失) 64 4.2.9 中度敏感參數:E(政府管制排放上限) 65 4.2.10 低敏感參數群 65 4.2.11 敏感度分析總結 68 第5章 結論 70 5.1 研究結論 70 5.2 政策建議 72 5.3 研究限制 73 5.4 未來研究方向 74 參考文獻 76

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