English  |  正體中文  |  简体中文  |  Items with full text/Total items : 70585/70585 (100%)
Visitors : 23126350      Online Users : 472
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/68537


    Title: 台灣市場智慧型手機之特徵價格;Hedonic Prices for Smart Phones in Taiwan Market
    Authors: 黃敬茹;Huang,Ching-Ju
    Contributors: 產業經濟研究所
    Keywords: 智慧型手機;特徵價格;台灣
    Date: 2015-07-06
    Issue Date: 2015-09-23 12:05:35 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 自從2007年6月蘋果(Apple)公司第一代的iphone手機上市後,各家廠商陸續推出各種功能和特性的智慧型手機,本研究欲分析智慧型手機功能和特性對其價格的影響,同時了解廠商的定價方式及消費者的願付價格,以在台灣發行的手機雜誌「手機GoGo」當作資料來源,及以「Sogi手機王」網站上的資料作為補充,研究期間為2007年8月至2014年9月,總共有七年的資料。
    本研究將模型分為兩部分,其中一部分模型是採用半對數形式的特徵價格模型,算出各特徵變數之平均邊際價格,而另一部分模型則是在縱橫資料下,比較一元固定效果模型、二元固定效果模型、一元隨機效果模型和二元隨機效果模型,探討模型中加入品牌ASUS和未加入品牌ASUS,對模型解釋力的差異,及造成這些差異的原因。
    在半對數形式的特徵價格模型中,對智慧型手機價格產生最大影響的是品牌特性和時間虛擬變數,其次為螢幕尺寸,加入品牌ASUS的智慧型手機資料,不論在一元固定效果模型、二元固定效果模型、一元隨機效果模型或二元隨機效果模型下的R^2皆小於未加入品牌ASUS的智慧型手機資料的模型,這表示加入品牌ASUS的智慧型手機資料,其特徵變數對模型的解釋力會下降,亦表示品牌ASUS其智慧型手機特性和價格之間的關聯性較不明確。
    ;Since the first generation of iphone was released on June 2007 by Apple Inc., the manufacturers have continually provided a variety of functions and features of smart phones. The aim of this paper is to analyze the effect of functions and features of smart phones to its prices and to understand how suppliers make prices and how much consumers are willing to pay. The data we use are from Cellphone GoGo magazine which is published in Taiwan, and Sogi website, over the period from August 2007 to September 2014.
    This paper is divided into two models. One is Hedonic Price Model of semi-log form, use this model to calculate the average marginal prices for every characteristic variables. The other model is under panel data estimation, compare one-way fixed effect model, two-way fixed effect model, one-way random effect model, and two-way random effect model, and discuss the differences between the model with brand ASUS and without brand ASUS.
    The results show that in the Hedonic Price Model of semi-log form, the maximum amount of parameters of hedonic price function related to the following variables respectively: brand, time dummy variables, and monitor size. In panel data model, no matter in one-way fixed effect model, two-way fixed effect model, one-way random effect model, or two-way random effect model, R^2 under the data with brand ASUS are smaller than the data without brand ASUS. It shows that the explanation of the characteristic variables will decrease under the data with brand ASUS. It also shows that the relationship between features of smart phones and its prices are unclear under the brand ASUS.
    Appears in Collections:[產業經濟研究所] 博碩士論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML540View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明