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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/95225


    題名: 桃園市重劃區與舊城區房地產特徵價格研究;A Study on the Characteristic Prices of Real Estate in Urban Renewal and Old Town Areas of Taoyuan City
    作者: 施柏佑;Shih, Po-Yu
    貢獻者: 產業經濟研究所
    關鍵詞: 特徵價格研究;房地產;桃園市;重劃區
    日期: 2024-07-09
    上傳時間: 2024-10-09 16:27:38 (UTC+8)
    出版者: 國立中央大學
    摘要: 本研究探討了台灣桃園市重劃區與非重劃區對房地產價格的影響,分析範圍涵蓋 2012 年至
    2023 年的房地產交易數據,並使用多元線性迴歸模型進行實證分析。研究結果顯示,重劃區
    內的房地產價格顯著高於非重劃區,特別是在基礎設施較完善和未來發展潛力大的區域,這
    種差異尤為明顯。在研究範圍內,重劃區的房地產價格受益於較新的設施、更好的地理位置
    以及區域發展計劃的推動。相較之下,非重劃區因基礎設施和公共服務相對落後,房價增長
    較慢。此外,研究發現建築面積、房屋結構、屋齡、樓層高度和靠近交通樞紐等因素均對房
    價有顯著影響。
    根據實證結果,研究提出了幾項建議。首先,政策制定者應重點發展重劃區,加強基礎設施
    建設,以推動房價增長和區域發展。同時,需平衡發展與環境保護,確保新建交通設施不對
    周邊居民生活造成過大影響。其次,房地產開發商在重劃區開發新項目時可以考慮提供完善
    的公共設施和良好的生活環境,以吸引更多購房者。應將目光投向具有潛力的重劃區,利用
    未來發展帶來的增值空間。最後,潛在購房者和投資者應關注重劃區房產,因其具有較高的
    增值潛力,特別是靠近交通樞紐和綠地的房產。此外,可以多加關注房屋結構和功能配置,
    選擇既滿足生活需求又具備增值潛力的房產。
    未來研究應集中於以下幾個方向:首先,研究重劃區長期發展對房價的持續影響,並評估政
    策變動對市場的影響。其次,將更多社會經濟變數納入模型,如居民收入、教育水平和社區
    安全等,以全面理解影響房價的因素。再者,結合地理資訊系統(GIS)進行空間分析,探
    索地理位置對房價的更精細影響。最後,將桃園市的研究結果與其他城市進行比較,探討不
    同城市間重劃區發展對房價的異同,提供更具普遍性的結論和建議。;This study investigates the impact of urban renewal areas versus non-renewal areas on real estate
    prices in Taoyuan City, Taiwan. The analysis covers real estate transaction data from 2012 to 2023,
    employing multiple linear regression models for empirical analysis. The results indicate that real estate
    prices in urban renewal areas are significantly higher than those in non-renewal areas, particularly in
    regions with better infrastructure and greater future development potential.
    Within the scope of this study, real estate prices in urban renewal areas benefit from newer facilities,
    better locations, and the impetus of regional development plans. In contrast, non-renewal areas experience
    slower price growth due to relatively underdeveloped infrastructure and public services. Additionally, the
    study finds that factors such as building area, house structure, age of the property, floor height, and
    proximity to transportation hubs significantly influence property prices.
    Based on the empirical results, the study offers several recommendations. Firstly, policymakers
    should focus on developing urban renewal areas by enhancing infrastructure to promote price growth and
    regional development. It′s also essential to balance development with environmental protection, ensuring
    that new transportation facilities do not excessively impact the lives of nearby residents. Secondly, real
    estate developers should consider providing comprehensive public facilities and a good living
    environment when developing new projects in urban renewal areas to attract more buyers. Developers
    should target potential urban renewal areas to leverage the appreciation space brought by future
    development. Lastly, potential homebuyers and investors should focus on properties in urban renewal
    areas, as they have higher appreciation potential, especially those near transportation hubs and green
    spaces. Additionally, attention should be given to house structure and functionality to choose properties
    that meet living needs and have appreciation potential.
    Future research should focus on the following directions: Firstly, investigating the long-term impact
    of urban renewal on property prices and assessing the impact of policy changes on the market. Secondly, incorporating more socioeconomic variables into the model, such as household income, education levels,and community safety, to comprehensively understand the factors influencing property prices. Thirdly, combining Geographic Information Systems (GIS) for spatial analysis to explore the finer impacts of location on property prices. Finally, comparing the research results of Taoyuan City with other cities to explore the similarities and differences in the impact of urban renewal development on property prices across different cities, providing more general conclusions and recommendations.
    顯示於類別:[產業經濟研究所] 博碩士論文

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