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研究生: 吳芷萱
Wu, Chih-Hsuan
論文名稱: 歐盟有害氣體排放效率及排放指標設計
Atmospheric Pollutant Emissions Efficiency and Designing Emission Indicator in the EU
指導教授: 林泰宇
Lin, Tai-Yu
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 32
中文關鍵詞: 有害氣體排放效率熵值法能源消費效率可再生能源消費效率不可再生能源消費效率
外文關鍵詞: Atmospheric pollutant emissions efficiency, Entropy method, Renewable energy consumption efficiency, Non-renewable energy consumption efficiency
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  • 根據世界衛生組織(World Health Organization,簡稱WHO)的資料顯示,每年有420萬人死於室外空氣污染,有380萬人死於室內空氣污染。歐盟執委會(European Commission)的2020年空氣品質報告(Air quality in Europe - 2020 report)表示,空氣污染是第二大的環境問題,並且是歐洲人過早死亡的原因之一。本研究分析了23個歐盟國家的有害氣體排放情況。本研究採用熵值法(Entropy Method)設計有害氣體排放指標,並利用Dynamic Undesirable SBM DEA模型來分析2014年至2018年歐盟23個國家的有害氣體排放效率及能源消費效率。研究結果顯示:(1)在2014年至2018年期間,奧地利、丹麥、希臘、愛爾蘭、盧森堡、瑞典及英國的可再生能源消費效率、不可再生能源消費效率及有害氣體排放效率在23個國家中名列前茅。不過大部分國家的可再生能源消費效率極低,歐盟需要更積極推動可再生能源的運用。(2)各國的可再生能源消費效率及各國的有害氣體排放效率差異很大,這代表各國的能源轉型程度及有害氣體減排能力差異很大,因此,許多國家仍需要進行能源轉型來減少有害氣體的排放。

    According to the WHO (World Health Organization) 4.2 million people die from outdoor air pollution, and 3.8 million people die from household air pollution every year. The European Commission (Air quality in Europe - 2020 report) stated that air pollution is the second biggest environmental concern and is responsible for premature deaths in Europe. This study analyzes the emissions of atmospheric pollutants in 23 EU countries from 2014 to 2018 and employs the entropy method to design an atmospheric pollutants emission indicator. Finally, use Dynamic Undesirable SBM DEA model to analyze the atmospheric pollutant emission efficiency and energy consumption efficiency. The research results are as follows: (1) The renewable energy consumption efficiency, non-renewable energy consumption efficiency, and atmospheric pollutants emission efficiency of Austria, Denmark, Greece, Ireland, Luxembourg, Sweden, and the United Kingdom were the best among all of the countries under consideration. (2) The renewable energy consumption efficiency of each country and the atmospheric pollutant emissions efficiency of each country differed greatly.
    After evaluating the renewable energy consumption efficiency, non-renewable energy consumption efficiency, and atmospheric pollutant emissions efficiency of 23 countries from 2014 to 2018, the research conclusions are as follows:(1) In terms of overall efficiency value, there was a big between-country gap. (2) Non-renewable energy consumption in most countries was more efficient than renewable energy consumption. The renewable energy consumption efficiency values for most countries was found to be very low, and it was shown that the EU needs to promote the use of renewable energy. (3) There were significant between-country differences in degree of energy transition and the ability to reduce atmospheric pollutant emissions.

    摘要 I ABSTRACT II 誌謝 XI 目錄 XII 表目錄 XIV 圖目錄 XV 第一章 緒論 1 第一節 研究背景 1 第二節 研究動機與目的 2 第三節  研究流程與架構 4 第二章 文獻回顧 6 第一節 空氣污染相關文獻 6 第二節 能源消費相關文獻 7 第三章 研究方法 10 第一節 資料來源 10 第二節 模型架構和變數 10 第三節 熵值權重法 12 第四節 資料包絡分析法 13 第五節 動態非意欲差額變數模型 14 第六節 投入項、意欲產出項、非意欲產出項的效率 15 第四章 實證結果 16 第一節 熵值權重 16 第二節 敘述統計 18 第三節 整體效率 20 第四節 個別效率 22 第五節 討論 26 第五章 結論與政策建議27 第一節 結論 27 第二節 政策建議 28 參考文獻 29 第一節 文獻資料 29 第二節 網路資料 32

    第一節 文獻資料
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    第二節 網路資料
    1. European Commission online information
    https://ec.europa.eu/environment/air/index_en.htm
    2. European Commission Air quality in Europe - 2020 report
    https://www.eea.europa.eu/publications/air-quality-in-europe-2020-report
    3. EU 2013 Clean Air Policy Package
    https://ec.europa.eu/environment/air/clean_air/index.htm
    4. Eurostat Energy saving statistics:
    https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Energy_saving_statistics#Final_energy_consumption_and_distance_to_2020_and_2030_targets
    5. WHO online publication, Air pollution: effects on your body
    https://www.who.int/teams/environment-climate-change-and-health/air-quality-and-health

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