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    题名: 社會住宅包租代管對周遭租賃市場影響探討-以桃園市為例
    The Impact of “Project of Incentive for Privately-Owned Subsidized Housing Policy” on the Surrounding Rental Market: A Case Study of Taoyuan City
    作者: 趙昕聖
    Chao, Hsin-Sheng
    贡献者: 江穎慧
    Chiang, Ying-Hui
    趙昕聖
    Chao, Hsin-Sheng
    关键词: 租賃市場
    社會住宅包租代管
    居住品質
    空間延遲模型
    Rental market
    Project of Incentive for Privately-Owned Subsidized Housing Policy
    Living quality
    Spatial lag model
    日期: 2024
    上传时间: 2024-08-05 14:15:44 (UTC+8)
    摘要: 為了落實居住正義,並健全租賃市場發展,政府自2017年起推行「社會住宅包租代管計畫」,現今該政策已發展至第四期,並在各縣市存在許多媒合戶數。由於過去研究文獻較少探討該政策對於租賃市場的影響,因此本研究選擇以社宅包租代管媒合案件數最多之桃園市作為研究範圍,探討其政策對於當地租賃市場影響情形。
    本研究資料採用不動產租賃實價登錄與591私人租賃平台資料,從中探討社宅包租代管媒合物件特徵、空間分布與其熱區對於周遭私人租賃市場租金影響情形。透過資料敘述性統計整理與深度訪談發現社會住宅包租代管媒合物件擁有更多居住品質與居住安全;另外從案件空間點位發現社宅包租代管分布上相較於私人租賃市場更加分散,並非僅侷限存在於桃園區與中壢區。
    本研究建立空間延遲模型,發現社會住宅包租代管熱區對於周遭租賃市場租金會產生負向影響,反之私人租賃市場熱區則呈現正向影響,其中社宅包租代管熱區即使同為私人租賃市場熱區,同樣可對於周遭租賃市場租金產生負向影響。從深度訪談中得知由於近年社會住宅包租代管在租賃市場上釋出更多供給,根據供需理論,可促使私人租賃市場需求減少而造成租金下降。另一方面現今社會住宅包租代管普遍實價登錄情況下,承租戶較容易從公開資訊中得知成交物件資訊並推算當地租賃市場租金行情,從中避免私人租賃市場房東開出與當地市場租金相比價格偏高之物件,並藉此改善租賃市場長期存在資訊不透明問題。綜合上述,本研究發現桃園市社會住宅包租代管對於周遭私人租賃市場存在影響,並對於健全當地租賃市場存在幫助。
    To implement housing justice and develop the rental market, the government has been promoting the "Project of Incentive for Privately-Owned Subsidized Housing Policy" since 2017. This policy has now reached its fourth phase and has facilitated numerous cases in various cities. Since past research has rarely explored the impact of this policy on the rental market, this study focuses on Taoyuan City, which has the highest number of cases, to investigate the impact of the policy on the local rental market.
    This study uses data from the Real Estate Transaction Price Registration and the 591 private rental platform to explore the characteristics, spatial distribution, and the impact of “Project of Incentive for Privately-Owned Subsidized Housing Policy” hotspots on the surrounding private rental market rents. Through descriptive statistical analysis and in-depth interviews, it is found that “Project of Incentive for Privately-Owned Subsidized Housing Policy” cases offer better living quality and safety. Moreover, from the spatial points of the cases, it was found that the distribution of “Project of Incentive for Privately-Owned Subsidized Housing Policy” is more dispersed compared to the private rental market and is not limited to Taoyuan District and Zhongli District.
    The study establishes a spatial lag model, finding that the hotspots of “Project of Incentive for Privately-Owned Subsidized Housing Policy” negatively impact the surrounding rental market rents, whereas the hotspots of the private rental market show a positive impact. Even when a hotspot is both a “Project of Incentive for Privately-Owned Subsidized Housing Policy” area and a private rental market area, it can still negatively affect the surrounding rental market rents. In-depth interviews reveal that the increase in supply released by “Project of Incentive for Privately-Owned Subsidized Housing Policy” in recent years has reduced demand in the private rental market, leading to lower rents according to supply and demand theory. Additionally, with the prevalent registration of real prices in “Project of Incentive for Privately-Owned Subsidized Housing Policy”, tenants can easily access transaction information from public sources and estimate the local rental market prices, helping to avoid landlords in the private rental market setting prices significantly higher than the local market rent, thus improving the long-standing issue of information asymmetry in the rental market. In summary, this study finds that the “Project of Incentive for Privately-Owned Subsidized Housing Policy” in Taoyuan City has an impact on the surrounding private rental market and helps to improve the local rental market.
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    描述: 碩士
    國立政治大學
    地政學系
    111257014
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0111257014
    数据类型: thesis
    显示于类别:[地政學系] 學位論文

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