R居誌
JILL《R居誌》｜不動產知識，一聽就懂！ 用地政士的視角，把複雜的不動產議題講清楚、說明白，讓你聽得懂、用得上、不再被專業名詞繞暈。陪你把「地政＋不動產」這門學問，AI 轉譯成你的生活語言。用知識保護自己，從理解開始！ 部落格｜jie--wei.blogspot.com/ Powered by Firstory Hosting
| Publishes | Twice weekly | Episodes | 59 | Founded | 6 months ago |
|---|---|---|---|---|---|
| Language |  Korean | Categories | InvestingSociety & CultureBusiness | ||
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Latest Episodes
【不動產經濟學 系列8】
你的房價有一半是「垂直」決定的？
土地供給因總量固定，曲線呈垂直狀態，這是房價難以下降的根本原因。
但建築供給則受建造成本、缺工、材料價格等影響，具有相對彈性。
本集揭露當市場預期良好，建商會如何推案？當建造成本飆升，如何影響新案房價？
理解土地的稀缺性與建築供給的複雜性，讓你更精準判斷市場的買點與賣點。
JILL
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【不動產經濟學 系列7】
居住市郊、工作都心？大眾運輸如何重塑你的通勤模式與房價！
交通建設但若規劃不當，也可能導致城市低密度蔓延增加維護成本。
更要警惕過度依賴小汽車，將耗用高達50% 的土地用於道路和停車！
本集深入探討如何透過TOD 模式，避免交通建設帶來的隱形成本。
JILL
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【不動產經濟學 系列6】
高房價的解藥在哪裡？是交通，而不是土地本身！
土地供給不足導致房價飆升，但我們真的沒有土地嗎？
交通與基礎設施如何成為活化城市閒置資源的關鍵。
立即收聽，了解城市發展的底層邏輯，掌握土地供給動態平衡的關鍵。
JILL
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【不動產經濟學 系列5】
為什麼有些地段就是貴？
豪宅對鄰居是福還是禍？數據告訴你：是福！
關鍵在於區位（Location）和空間分佈不均。
本集將探討聚集經濟如何推升土地價值，以及如何運用空間計量模型，
精準評估鄰近區位對目標房產的真實影響。
JILL
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【不動產經濟學 系列4】
買房，究竟是為了居住，還是為了賺錢？
不動產兼具的「消費財」與「投資財」雙重屬性，讓房市變得複雜無比！
本集將解析房子如何滿足基本居住需求，同時又能抗通膨、提供租金收入和資本增值？
政策調控的兩難：政府如何平衡保障全民居住權與抑制市場投機行為？
更重要的是，告訴你進入房市必須面對的高交易成本、低流動性等主要風險！
JILL
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【不動產經濟學 系列3】
房產價值由區位環境 決定，但非預期結果如何引發市場失靈？
本集聚焦外部成本，探討噪⾳污染、空氣污染 及特定嫌惡設施 對房價造成的價格抑制效應。
同時也將分析優質學區 和捷運站周邊 的時間節約效益 如何形成顯著的房價溢價。
掌握這些空間特性，是進行理性投資決策 的關鍵一步。
JILL
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【不動產經濟學 系列2】
為什麼買賣房產總感覺「水很深」？
本集節目將拆解不動產市場的兩大核心機制：
由不可移動性形塑的區域性子市場，以及導致交易不公的資訊不對稱。
從捷運宅到「檸檬市場」效應，帶你抓住房價背後的獨特運作邏輯？
這是所有關心房價與交易效率的聽眾，必須了解的市場底層邏輯。
JILL
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【不動產經濟學 系列1】
買房是我們一輩子最大的一筆開銷，但這場「高價值」交易卻充滿挑戰：
它既不像買車能輕鬆比價，也沒有像股市一樣的集中報價可參考。
本集深度解析這場交易中，隱藏的資訊落差，為何房子的供給永遠慢半拍。
從不可移動、稀少性到高價值，不動產市場的獨特體質使其成為一個充滿挑戰與機會的領域。
理解這些經濟特性和市場限制，有助於您從容應對。
JILL
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Key Facts
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #164 |  Taiwan/Business/Investing |
Top Investing Podcasts
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Gender Skew | Location | Interests | |||
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| Professions | Age Range | Household Income | |||
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R居誌 launched 6 months ago and published 59 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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