電動二輪車特徵價格模型實證分析;Hedonic Price Analysis of the Electric Scooter in Taiwan

NCUIR > School of Management at National Central University > Executive Master of Industrial Economics > Electronic Thesis & Dissertation > Item 987654321/77353

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/77353

Title:	電動二輪車特徵價格模型實證分析;Hedonic Price Analysis of the Electric Scooter in Taiwan
Authors:	蔡佩珍;Tsai, Pei-Jen
Contributors:	產業經濟研究所在職專班
Keywords:	電動二輪車;gogoro;換電式系統;充電基礎設施;電動機車;電動自行車;electric scooter;gogoro;battery swap system;charging infrastructure;electric motorcycle;electric bike
Date:	2018-07-10
Issue Date:	2018-08-31 14:34:45 (UTC+8)
Publisher:	國立中央大學
Abstract:	本篇論文主要探討影響台灣電動二輪車訂價之背後因素，以及對價格造成的實質影響力與貢獻度。本研究自行建構2017年電動二輪車的車款資料為研究樣本，參考過去電動車技術與市場面的特徵因子之文獻探討，建構出一個完整的研究框架，主要探究哪些車輛特性是影響電動二輪車價格的關鍵因子，過程中依照樣本特性設計為控制因子，選用功能面的特徵因素設計作為虛擬變數，進一步探討關鍵特徵是否發生變化，最後將蒐集到車輛特性進行全體特徵之實證分析。首先使用Hedonic Price方法，研究發現續航里程、爬坡度、馬力會隨著廠商提供性能越佳而電動二輪車訂價越高，與過去實證文獻一致，然而採用電動自行車價格較無競爭力，且充電時間越長，使用支配性越低訂價越低。再來使用FGLS的估計方法，過程中加入不同的控制因子，結果指出關鍵特徵要素對電動二輪車價格仍然為1%顯著之影響力，不容輕忽。本研究也發現在新型防爆技術、鋰電池與水冷式散熱的功能特徵，對於電動二輪車價格有顯著的貢獻度，對比於關鍵特徵對價格有較高的實質貢獻力。本文實證發現：關鍵特徵變量在電動二輪車不同的模型之下，對於價格都存在著影響力，而功能特徵在價格貢獻度上存有較高的傾向。 ;This thesis mainly discusses about the factors, actual impacts, and contribution behind the pricing strategy of electric scooter in Taiwan. This study research sample uses the data of an electric scooter model in 2017, by referencing past studies of electric scooter’s marketing and technology characteristics, to constitute a complete research framework. It is mainly to discuss which characteristics are the ctual key factors to affect the pricing of electric scooter. Sample characteristics are designed into control factors during the process, while optional functions were designed into dummy variables, to further discuss if changes occurred to the key characteristic, and to finally analysis these characteristics data. First, by using the Hedonic Price method, the study shows that the better performances provided, such as cruising range, climbing ability and horsepower, the pricing of an electric scooter would increase accordingly, and is consistent to the previous studies, while pricing are uncompetitive when longer the charging times and lower the dominance is, therefore the pricing are lower. Secondly, when using Feasible Generalized Least Squares method, by adding different control factors during the process, the result still shows key characteristics still holds 1% of significant influence on the pricing of electric scooter. This study also discovers that some technical functions such as lithium-ion battery, water cooling system, and explosion protective technology, contributes significantly to the pricing of electric bicycle, even when compare to the key factors. The study shows: the key factor variables under different models of electric scooter, showing its influence to the pricing, and functional characteristics also shows great contribution to the pricing.
Appears in Collections:	[Executive Master of Industrial Economics] Electronic Thesis & Dissertation

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