| 摘要(英) |
The purpose of this paper is to verify the impact of the back-office business backflow from the Sino-US trade war on the housing prices in Xitun District, Nantun District and Beitun District of Taichung City, so as to explore the impact of trade changes between China and the United States on the growth or reduction of regional housing prices. The influence of width. The data in this paper is used for six years, and the research period is from January to December . The research object is the housing prices in Xitun District, Beitun District and Nantun District of Taichung City.
This paper analyzes the influence of the total samples of Xitun District, Beitun District and Nantun District on real estate prices before and after the return of Taiwanese businessmen and housing characteristics; Individual samples are taken as the influence of Taiwanese businessmen returning and housing characteristics on real estate prices, in order to discuss whether there will be different house price increases due to different regional development characteristics after Taiwanese businessmen return.
From now on, the influence of the calculation results is the settlement platform of merchants in the China Association; the overall impact of Taichung City′s trade is affected by the influence of the flow of Taiwanese businessmen, which is positive to the effect of no Taiwanese businessmen′s query effect; 14.3% of the Beitun District samples, Beitun District was affected by Influenced by Taiwanese businessmen, Binantun District was affected by Taiwan′s influence by 6%. With the influence of prices and prices in Beitun District, housing prices and housing prices in Beitun District increased by 6%. The housing price in Xitun District increased by 3.3%, compared with 10.1%. We can understand the influence and overall influence of Taiwanese businessmen on Taichung area. |
| 參考文獻 |
中文參考文獻
1. 張金鶚、范垂爐(1993) 房地產真實交易價格之研究
2. 李志祥(1994)臺北市容積獎勵對都更房地產價格之影響 ─特徵價格法之應用
3. 洪得洋、林祖嘉(1998) 臺北市捷運系統與道路寬度對房屋價格影響之研究
4. 李月華(2000) 臺北市住宅價格模式之研究
5. 李泓見、張金鶚、花敬群(2006) 臺北都會區不同住宅類型價差之研究
6. 陳慧潔(2007) 住宅大樓價格因素之探討
7. 張詠晴(2009) 「優良小學學區對房價影響之研究」碩士論文，中國文化大學建築及都市計畫研究所
8. 黎佳貞(2011) 從貨幣政策看房價之變動趨勢-以臺北市為例
9. 陳忠廉(2013) 捷運對場站周邊房地價格之影響-『以臺北市捷運南港線為例』
英文參考文獻
1. Court, A. T. (1939). Hedonic Price Indexes with Automotive Examples. in:The Dynamics of Automobile Demand. General Motors, New York.
2. Kain, J.F. and J.M. Quigley (1970), Measuring the value of housing quality, Journal of the American Statistical Association , 65, 532-548.
3. Bowen, W.M., B.A. Mikelbank and B.M. Prestegaard (2001), Theoretical and empirical considerations regarding space in hedonic housing price model application, Growth and Change, 32(4), 466-490.
4. Söderberg, B., (2002), “A note on the hedonic model specification for income properties”, pp. 157-180 in Real Estate Valuation Theory, edited by Ko Wang, Wolverton and Marvin L., Boston: Springer.
5. Tse, Raymond Y. C. (2002) “Estimating Neighbourhood Effects in House Prices: Towards a New Hedonic Model Approach,” Urban Stumortuarys. 39(7): 1165-1180.
6. Wooldridge, J.M. (2003), Introductory econometrics: A modern approach. 2nd edition, Thomson Learning, South-Western.
7. Laurice, J. and R. Bhattacharya (2005), Prediction performance of a hedonic pricing model for housing, The Appraisal Journal, 73(2), 198-209.
8. Sirmans, G. S., David A. Macpherson and Emily N. Zietz. (2005) “The Composition of Hedonic Pricing Models,” Journal of Real Estate Literature. 13(1): 3-43. |
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