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題名 節能燈具選擇的行為效果模型
Energy-saving of Lighting on choosing behavior作者 林佳欣
Lin, Chia Hsin貢獻者 蕭代基
Shaw, Dai Gee
林佳欣
Lin, Chia Hsin關鍵詞 實驗設計
離散選擇
LED燈具
隨機效用
條件式羅吉特
多項式羅吉特日期 2016 上傳時間 9-Aug-2016 11:59:17 (UTC+8) 摘要 為了節能減碳延緩暖化，在政策推行發展出多樣節能產品，然而失敗的產品不勝枚舉，令人困惑的是，節能產品能省下能源費用又能減少溫室氣體排放，有上述好處，為何普及性不高呢？其中原因可能來自代理問題、產品非完全替代或者新產品的未知風險等等。本研究用台灣節能照明市場為例子，運用離散選擇模型與問卷調查的方式，以台灣網路人口為母體，進行問卷，樣本大小為972份。分析結果發現選擇燈具的行為顯著的受價格、電費、壽命、光線效果影響，其中壽命對燈具的選擇最不具影響力，社經背景、LED燈具認知與環境態度對選擇的偏好都有顯著的影響，現在與未來不選用LED燈具者受光線效果影響。此外，所得高者與環境關心者採用LED燈具機率較高。光線效果的邊際願付價格約為194元，壽命為0.014元。當LED燈具價格下跌50％時，我們預測住宅照明每年溫室氣體可以減少排放量約2.21％（10,366,000公斤）。為了協助提升LED市場滲透率，提出下列政策建議：首先，鼓勵研發光線更柔和的LED燈罩；其次，廣宣LED燈的節能訊息。 參考文獻 一、中文文獻工業技術研究院，2015。家庭用電消費調查研究.台灣電力公司，2016 。「104年下半年台灣電力公司電價表」取自http://www.taipower.com.tw。台灣電力公司，2016 。「每月住宅及小商店實際用電情形」取自http://www.taipower.com.tw。飛利浦公司官網，2016。「Product Catalog」取自http://www.lighting.philips.com/main/prof。財團法人中華經濟研究院，2011。「台灣溫室氣體減量成本曲線」期末報告 。財團法人台灣綜合研究院，2010。「住商部門能源消費調查」 。 財團法人台灣網路資訊中心，2015。「2015 年台灣寬頻網路使用調查報告」。高士欽，2013。「LED燈具光衰驗證技術介紹」，『量測資訊』。152（7），30-32。 國家發展委員會，2015。「網路沉迷研究」報告。黃佳文、陳裕清、黃釋緯、楊豐碩、陳詩豪、林穎毅、林兩進，2010。「全面淘汰白熾燈政策對臺灣用電影響之研究」，『 台電工程月刊』。742 （6），96-117。 經濟部能源局，2016。「103年我國電力排放係數」取自 http://web3.moeaboe.gov.tw。萬鍾汶、林妙瓀，2010。「消費者專業背景對基因改造產品願付價值之分析」，『生物產業科技管理叢刊』。1（2），63-91。簡育德，2012。「LED量測標準與民生安全專輯前言」，『量測資訊』。147（9）二、英文文獻Abrahamse, Wokje, & Steg, Linda. (2011). Factors related to household energy use and intention to reduce it: The role of psychological and socio-demographic variables. Human Ecology Review, 18(1), 30-40. Alpizar, Francisco, Carlsson, Fredrik, & Martinsson, Peter. (2003). Using choice experiments for non-market valuation. ECONOMIC ISSUES-STOKE ON TRENT-, 8(1), 83-110. Alvarez, R. Michael, & Nagler, Jonathan. (1998). When Politics and Models Collide: Estimating Models of Multiparty Elections. American Journal of Political Science, 42(1), 55-96. doi:10.2307/2991747Anderson, Simon P, De Palma, Andre, & Thisse, Jacques François. (1992). Discrete choice theory of product differentiation: MIT press.Auspurg, Katrin, & Hinz, Thomas. (2014). Factorial survey experiments (Vol. 175): Sage Publications.Batsell, Richard R. (1980). Consumer resource allocation models at the individual level. Journal of Consumer Research, 78-87. Batsell, Richard R, & Lodish, Leonard M. (1981). A model and measurement methodology for predicting individual consumer choice. Journal of Marketing Research, 1-12. Berry, Steven T. (1994). Estimating Discrete-Choice Models of Product Differentiation. The RAND Journal of Economics, 25(2), 242-262. doi:10.2307/2555829Bunch, David S, Louviere, Jordan J, & Anderson, Don. (1996). A comparison of experimental design strategies for multinomial logit models: The case of generic attributes. University of California Davis Graduate School of Management Working Paper, 11-96. Carías Vega, Dora, & Alpízar, Francisco. (2011). Choice Experiments in Enviromental Impact Assessment: The Toro 3 Hydroelectric Project and the Recreo Verde Tourist Center in Costa Rica. Retrieved from Carson, Richard T, Louviere, Jordan J, Anderson, Donald A, Arabie, Phipps, Bunch, David S, Hensher, David A, . . . Swait, Joffre. (1994). Experimental analysis of choice. Marketing letters, 5(4), 351-367. Cochran, William G. (1953). Sampling techniques. 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國立政治大學
經濟學系
103258026資料來源 http://thesis.lib.nccu.edu.tw/record/#G0103258026 資料類型 thesis dc.contributor.advisor 蕭代基 zh_TW dc.contributor.advisor Shaw, Dai Gee en_US dc.contributor.author (Authors) 林佳欣 zh_TW dc.contributor.author (Authors) Lin, Chia Hsin en_US dc.creator (作者) 林佳欣 zh_TW dc.creator (作者) Lin, Chia Hsin en_US dc.date (日期) 2016 en_US dc.date.accessioned 9-Aug-2016 11:59:17 (UTC+8) - dc.date.available 9-Aug-2016 11:59:17 (UTC+8) - dc.date.issued (上傳時間) 9-Aug-2016 11:59:17 (UTC+8) - dc.identifier (Other Identifiers) G0103258026 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/99833 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 經濟學系 zh_TW dc.description (描述) 103258026 zh_TW dc.description.abstract (摘要) 為了節能減碳延緩暖化，在政策推行發展出多樣節能產品，然而失敗的產品不勝枚舉，令人困惑的是，節能產品能省下能源費用又能減少溫室氣體排放，有上述好處，為何普及性不高呢？其中原因可能來自代理問題、產品非完全替代或者新產品的未知風險等等。本研究用台灣節能照明市場為例子，運用離散選擇模型與問卷調查的方式，以台灣網路人口為母體，進行問卷，樣本大小為972份。分析結果發現選擇燈具的行為顯著的受價格、電費、壽命、光線效果影響，其中壽命對燈具的選擇最不具影響力，社經背景、LED燈具認知與環境態度對選擇的偏好都有顯著的影響，現在與未來不選用LED燈具者受光線效果影響。此外，所得高者與環境關心者採用LED燈具機率較高。光線效果的邊際願付價格約為194元，壽命為0.014元。當LED燈具價格下跌50％時，我們預測住宅照明每年溫室氣體可以減少排放量約2.21％（10,366,000公斤）。為了協助提升LED市場滲透率，提出下列政策建議：首先，鼓勵研發光線更柔和的LED燈罩；其次，廣宣LED燈的節能訊息。 zh_TW dc.description.tableofcontents 第一章 緒論 7第一節 研究背景與動機 7第二節、研究目的 9第三節、章節架構 10第二章 文獻回顧 11第一節、節能產品的機會成本 11第二節、離散選擇模型（discrete choice model）演變 12第三節、離散選擇設計 13第四節、實驗設計的統計效率 14第五節、國內外節能產品與行為選擇實證研究 15第三章 研究方法 17第一節、理論模型 17第四章、問卷設計與資料敘述 22第一節、問卷設計 22第二節、抽樣方法與範圍 27第三節、資料敘述 28第五章 迴歸結果 36第一節、模型結果討論 36第二節、選擇機率 41第六章 結論與建議 46文獻參考 47附錄一、資料代碼 54附錄二、樣本基本統計值 56附錄三、溫室氣體排放計算方式 57附錄四、問卷 58 zh_TW dc.format.extent 2463774 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0103258026 en_US dc.subject (關鍵詞) 實驗設計 zh_TW dc.subject (關鍵詞) 離散選擇 zh_TW dc.subject (關鍵詞) LED燈具 zh_TW dc.subject (關鍵詞) 隨機效用 zh_TW dc.subject (關鍵詞) 條件式羅吉特 zh_TW dc.subject (關鍵詞) 多項式羅吉特 zh_TW dc.title (題名) 節能燈具選擇的行為效果模型 zh_TW dc.title (題名) Energy-saving of Lighting on choosing behavior en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 一、中文文獻工業技術研究院，2015。家庭用電消費調查研究.台灣電力公司，2016 。「104年下半年台灣電力公司電價表」取自http://www.taipower.com.tw。台灣電力公司，2016 。「每月住宅及小商店實際用電情形」取自http://www.taipower.com.tw。飛利浦公司官網，2016。「Product Catalog」取自http://www.lighting.philips.com/main/prof。財團法人中華經濟研究院，2011。「台灣溫室氣體減量成本曲線」期末報告 。財團法人台灣綜合研究院，2010。「住商部門能源消費調查」 。 財團法人台灣網路資訊中心，2015。「2015 年台灣寬頻網路使用調查報告」。高士欽，2013。「LED燈具光衰驗證技術介紹」，『量測資訊』。152（7），30-32。 國家發展委員會，2015。「網路沉迷研究」報告。黃佳文、陳裕清、黃釋緯、楊豐碩、陳詩豪、林穎毅、林兩進，2010。「全面淘汰白熾燈政策對臺灣用電影響之研究」，『 台電工程月刊』。742 （6），96-117。 經濟部能源局，2016。「103年我國電力排放係數」取自 http://web3.moeaboe.gov.tw。萬鍾汶、林妙瓀，2010。「消費者專業背景對基因改造產品願付價值之分析」，『生物產業科技管理叢刊』。1（2），63-91。簡育德，2012。「LED量測標準與民生安全專輯前言」，『量測資訊』。147（9）二、英文文獻Abrahamse, Wokje, & Steg, Linda. (2011). Factors related to household energy use and intention to reduce it: The role of psychological and socio-demographic variables. Human Ecology Review, 18(1), 30-40. Alpizar, Francisco, Carlsson, Fredrik, & Martinsson, Peter. (2003). Using choice experiments for non-market valuation. ECONOMIC ISSUES-STOKE ON TRENT-, 8(1), 83-110. Alvarez, R. Michael, & Nagler, Jonathan. (1998). When Politics and Models Collide: Estimating Models of Multiparty Elections. American Journal of Political Science, 42(1), 55-96. doi:10.2307/2991747Anderson, Simon P, De Palma, Andre, & Thisse, Jacques François. (1992). Discrete choice theory of product differentiation: MIT press.Auspurg, Katrin, & Hinz, Thomas. (2014). Factorial survey experiments (Vol. 175): Sage Publications.Batsell, Richard R. (1980). Consumer resource allocation models at the individual level. Journal of Consumer Research, 78-87. Batsell, Richard R, & Lodish, Leonard M. (1981). 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