English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 50123/85142 (59%)
造訪人次 : 7899975      線上人數 : 56
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/102298


    題名: 企業營運的效率性整合環境投資的評估
    其他題名: Operational efficiency integrating the evaluation of environmental investment
    作者: 郭惠雯;Kuo, Hui-Wen
    貢獻者: 淡江大學會計學系碩士班
    郭樂平
    關鍵詞: 管理效率;中小企業;碳強度;資料包絡分析法;Management Efficiency;Small and Medium Enterprises (SMEs);carbon intensity (carbon-intensive);Data Envelopment Analysis (DEA)
    日期: 2014
    上傳時間: 2015-05-04 09:52:17 (UTC+8)
    摘要:   由於全球對氣候變遷減緩意識的興起,企業環境責任逐漸為社會大眾所重視。因此,本研究以「低碳經濟永續」的觀點,探討各類型管理者是否有效率的回應氣候變遷減緩,並朝向低碳企業邁進。本研究以日經500以及S&P Japan中小型指數成分股中的142間日本企業為研究樣本,透過資料包絡分析法,結合考量經濟永續與環境永續建立實證模式,從2008年至2012年,逐年觀察日本各類型企業的經理人在承諾減排期間之管理效率差異。
      研究結果顯示,以管理效率觀點而言,在非危急時期,中小非環境敏感企業的管理者表現最好,然而,面臨外在環境改變,企業營運的效率性整合環境投資評估時,大型非環境敏感企業的管理者反而表現較好,顯示大型企業面臨危機與承擔環境責任的整體能力,有時會超越中小非環境敏感企業。然而,中小型環境敏感企業的經理人,在承擔環境責任並兼顧經濟永續時,其管理效率表現最差。
      從單一指標─碳強度及環保支出預算來看,中小非環境敏感企業的經理人在資源運用與控制相對較優,反而是大型環境敏感企業的經理人則未善用資源降低實質總排碳量。
      本研究主要貢獻除了納入中小企業為研究範疇,補強中小企業相關實證文獻之缺口外,同時也提供證據說明何種日本企業的管理者已採用有效率的方式回應氣候變遷減緩之承諾並兼顧經濟永續,做為未來投資決策之依據。
      With the rise of global awareness of climate change mitigation, corporate environmental responsibility has been increasingly valued by the community. In light of this, this study examined the concept of sustainable low-carbon economy, exploring how various types of managers efficiently respond to climate change mitigation, and their efforts towards managing a low-carbon enterprise. The sample for the study is comprised of 142 Japanese firms from different industries listed in the Nikkei 500 and the S & P Japan SME index between 2008 and 2012.This research adopted the data envelopment analysis (DEA) method which combines sustainable economy and sustainable environment through a empirical analysis in order to observe the Japanese managers’ ability of fulfilling their commitments to reducing annual carbon emissions and their performance differences in management efficiency.
      The results show that regarding the performance in management efficiency, small and medium enterprises (SME) in the non-environmentally sensitive industries performed the best in the period of stable economy. However, when facing a volatile economy, large-scale enterprises in the non-sensitive industries performed better compared to their SME counterparts in operational efficiency integrated with the evaluation of environmental investment. In order words, the comprehensive ability of large-scale enterprises to solve crises and shoulder corporate environmental responsibility was better than that of SME in the non-sensitive industries. However, the management of SME in the environmentally sensitive industries performed the worst in management efficiency pertaining to maintaining sustainable economic growth and taking environmental responsibility.
      Based on these indicators, carbon intensity (carbon-intensive) and environmental expenditure budget, SME in the non-sensitive industries outperformed their counterparts in utilizing and controlling resources. Contrarily, the managers of large-scale enterprises in the non-sensitive industries did not efficiently use resources to reduce total carbon emissions.
      These findings has major contribution to filling the gap in empirical studies by incorporating small and medium enterprises as a research subject and also to providing evidence of how different types of Japanese coporate management were committed to reducing carbon emissions effectively while pursuing economic sustainability.Last but not least, this research can certainly help industries plan futures policies.
    顯示於類別:[會計學系暨研究所] 學位論文

    文件中的檔案:

    檔案 大小格式瀏覽次數
    index.html0KbHTML126檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋