博碩士論文 984201021 詳細資訊




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姓名 徐光威(Kuang-Wei Hsu)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 融入碳排放量的企業績效評估—以全球五百大企業為例
(Evaluation of Business performance incorporating Carbon emissions)
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摘要(中) 近年來地球暖化漸受世人關注,1997年通過的京都議定書與2009年召開的聯合國氣候變化大會都顯示各界對氣候變遷的持續關切,影響氣候變遷的要素之一是二氧化碳排放量,而企業生產行為又伴隨排放二氧化碳。因此,了解地球上各大企業或產業的二氧化碳排放量情況是一個值得關心與研究的議題。
現有文獻中,主要以特定產業或是國家為研究對象,較少同時探討多種產業的生產效率。因此本研究試圖以全球五百大企業 (Global 500) 為研究對象,將二氧化碳排放量視作非意欲產出,以資料包絡分析法 (Data Envelopment Analysis, DEA) 探討各產業的生產效率,並以Malmquist生產力指數衡量其效率變遷。此外,本研究透過碳揭露 (Carbon Disclosure Project, CDP) 之問卷尋找影響二氧化碳排量與二氧化碳排放減量的要素。
研究結果如下:
1. 2008-2010年的各企業生產力衰退的比例較高。
2. 2008-2010年,具生產力進步DMU的產業包括非必須消費品業、工業及材料業。
3. 連續三年具有效率DMU數排名前三高的產業是金融業和能源業,連續三年具有效率DMU排名最後兩名的產業是工業和公用事業。
4. 對企業實際二氧化碳排放量/減量有顯著影響的要素是企業是否評估或提供誘因機制給因應氣候變遷的管理階層來達到溫室氣體排放目標。
摘要(英) Global warming has been concerned in recent years. The Kyoto Protocol adopted in 1997 and 2009 United Nations Climate Change Conference have shown continuing concern about climate change. One of the factor of climate change is carbon dioxide emissions. Since production activities accompany emissions of carbon dioxide , therefore, to understand the carbon dioxide emissions of major business or industrial is a topic worthy of concern and research.
Existing literature mainly focus on specific industries or countries, rather than discuss productivity of different industries at the same time. This research attempts to use Global 500 as the research object, the carbon dioxide emissions as undesirable output, and apply the Data envelopment analysis (DEA) to compare the efficiency different industries. Also, this research apply Malmquist Productivity Index to measure the efficiency change of industries in the period of 2008 to 2010. Furthermore, by questionnaires of Carbon Disclosure Project , this study find the factor influences carbon dioxide emissions and reduction of carbon dioxide emissions.
關鍵字(中) ★ Malmquist生產力指數
★ 二氧化碳排放量
★ 資料包絡分析法
關鍵字(英) ★ carbon dioxide emissions
★ DEA
★ Malmquist Productivity Index
論文目次 中文摘要 i
英文摘要 ii
目錄 iii
圖目錄 v
表目錄 vi
第一章 緒論 1
1.1研究背景與動機 1
1.2研究目的 2
1.3研究流程 2
第二章 文獻回顧 3
第三章 研究方法 7
3.1研究模型 7
3.1.1資料包絡分析法(DEA) 7
3.1.2 考慮非意欲產出的SBM模型 9
3.2生產力變動 10
3.2.1 Nonparametric Malmquist productivity index 10
3.2.2 Catch-up 效果 11
3.2.3 Frontier-shift 效果 12
3.2.4 Malmquist Index 12
3.3Mane-whitney U test 13
3.4資料來源與變數 14
第四章 研究結果 16
4.1全球500大企業績效變遷 16
4.1.1不考慮碳排放量 16
4.1.2考慮碳排放量 18
4.2全球500大企業績效變遷—按產業別 20
4.2.1不考慮碳排放 20
4.2.2考慮碳排放 20
4.3 全球500大企業績效比較—按產業別 22
4.4影響企業二氧化碳排放量/減量的要素 25
第五章 結論與建議 26
5.1研究結論 26
5.2建議 27
5.3 未來研究方向 27
文獻 28
附錄 32
附錄一 研究對象公司名稱(I) 32
附錄二 全DMU catch-up 效果 34
附錄三 全DMU Frontier-shift 效果 35
附錄四 全DMU Malmquist值 36
附錄五 10大產業的效率變遷 37
附錄五 10大產業的效率變遷(續) 38
附錄六 考慮二氧化碳排放量的DMU效率值(2008) 39
附錄七 考慮二氧化碳排放量的DMU效率值(2009) 40
附錄八 考慮二氧化碳排放量的DMU效率值(2010) 41
附錄九 不考慮二氧化碳排放量的DMU效率值(2008) 42
附錄十 不考慮二氧化碳排放量的DMU效率值(2009) 43
附錄十一 不考慮二氧化碳排放量的DMU效率值(2010) 44
附錄十二 研究對象公司名稱(II) 45
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指導教授 張東生、蕭嬋
(Dong-Shang Chang、Chan Hsiao)
審核日期 2011-6-30
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