臺灣博碩士論文加值系統

本研究為利用決策樹中的Cubist迴歸樹做為不動產特徵方程式之估計模式，研究結果顯示Cubist迴歸樹設計符合不動產資料之特性，並且許多文獻研究結果發現其配適及預測能力相較於複迴歸模型皆較為有效率。
本研究將以高雄市2018年住宅大樓之房地產資料為研究對象，依照行政區、總樓層數、屋齡、建物移轉面積、每平方公尺價格、車位面積及類型做為參考資料，將資料進行分析後得出在當商圈繁榮指數越高時，住宅大樓的抗跌效果越佳且經濟環境指數越高，其交易增值與Cubist迴歸樹推算出來之估計增值之間的差別越大。當進行不同的投資風險組合時，可以利用迴歸樹優秀的估計能力與真實價格進行比對，提出穩定的風險組合。
在實務上運用於房地產業者或仲介業者進行評估風險及組合不動產估算高雄市房價之參考工具。

This study chose the Cubist regression tree from the decision tree as the estimated model of the real estate hedonic regression. The result demonstrated that the design of the Cubist regression tree conformed to the characteristic of data of the real estate. Many results of the literature discovered that compared with the multiple regression model, the goodness of fit and the predictive ability of the Cubist regression tree were more efficient.

In studying, research chose the real estate data of the residential building of Kaohsiung City in 2018 as investigative objects, on the basis of the administrative area, the total number of floors, the ages of buildings, the building shifting area, the price per square meter, the parking space and the type. The result proved that the higher the prosperity index of commercial district is, the better the anti-falling effect of the residential building is. When the economic environment index is high, the difference between the increased value of its transaction and the increased value which was predicted by the Cubist regression tree is greater. We can utilize the excellent ability of the regression tree to contrast the estimated value with the real value and propose the stable risk portfolio when we consider different risk-investment portfolios.

In practice, the Cubist regression tree could be viewed as instrument. Real estate agents can employ it to assess the risk and the value of the building of Kaohsiung City.

摘要 i
ABSTRACT ii
致謝 iii
圖目錄 vi
表目錄 vii
第一章 緒論 1
1.1研究背景 1
1.2研究動機 1
1.3研究目的 2
1.4 研究流程圖 4
第二章 文獻探討 5
2.1不動產 5
2.1.1不動產的定義及相關法規 5
2.1.2不動產市場 6
2.1.3不動產定義與市場特性 8
2.2不動產估價理論 8
2.2.1消費者理論 9
2.2.2特徵價格理論 9
2.2.3價值理論 9
2.3不動產與特徵價格理論 10
2.4 Cubist迴歸樹之定義 11
2.5不動產風險 12
2.6房地產投資風險分析 14
2.7當前我國不動產投資市場面臨的主要投資風險 14
第三章 研究方法 17
3.1 研究模型-Cubist迴歸樹模型 17
3.3 研究對象與變數選取 20
3.3.1研究對象 20
3.3.2變數選取 20
第四章 研究結果與分析 27
4.1研究分析 27
4.2 敘述性統計 31
4.3變數表現 33
4.4研究結果 34
第五章 研究限制與建議 35
5.1 研究建議 35
5.2研究限制 36
參考文獻 37
中文文獻 37
英文文獻 37

中文文獻
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