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Title: | 天氣變化對房價的影響—以台灣各縣市為例 The Influence of Weather Changes on Housing Price-Evidence from Counties and Cities in Taiwan |
Authors: | 劉素芬 Liou, Su-Fen |
Contributors: | 黃智聰 Huang, Jr-Tsung 劉素芬 Liou, Su-Fen |
Keywords: | 天氣 房價 空間計量經濟學 Weather Housing Price Spatial Econometrics |
Date: | 2023 |
Issue Date: | 2023-09-01 14:45:04 (UTC+8) |
Abstract: | 人類生活與環境密不可分,環境與生活更是息息相關,居住環境受到人類與自然因素交互作用影響,時至今日面臨環境、社會以及經濟快速變遷下,房市發展因素日益複雜,近幾年的氣候環境變遷,世界各國紛紛提倡淨零碳排,間接影響生活消費習慣,而購屋亦為消費之一環,所需資金龐大,非屬一般性消費財,故民眾在購屋時會格外謹慎,除考量房屋本身條件、家庭結構或大環境等因素外,亦同時考慮周遭居住環境及品質。 台灣因海島氣候及其特殊地理位置,加以北迴歸線穿越,使島內各區天氣型態容有差異,無論是雨量、日照、溫度或濕度等主要天氣指標均顯有不同,如將該等指標按WHO就居住環境定義中有關舒適性(comfort)之理論基礎觀察,天氣指標之變化程度倘可歸屬於環境特質,將間接影響民眾生活及居住品質,故理論上對於房價有應有一定程度之影響。 本研究係選取2011年至2021年間天氣變化對房價的影響,透過Moran’s I檢定結果數據顯示,房價分布具有正向空間自我相關,存在空間聚集效應。並採取空間自我迴歸模型固定效果,經實證研究結果顯示平均溫度、每戶家庭可支配所得、老年人口比率、一般生育率及都市計畫已建闢公園比率與房價產生顯著的正向影響;而最高與最低氣溫差、雨量、前一年空屋率、刑案發生率、教育科學文化支出比率、每萬人口病床數及道路里程密度則對房價無顯著影響。 Human life and the environment are inextricably linked, and the environment is closely related to human life. The living environment is influenced by the interaction of both human and natural factors. In today`s rapidly changing environment, society, and economy, the development of the housing market is becoming increasingly complex. In recent years, with the climate and environmental changes, countries around the world have advocated for net zero carbon emissions, which has indirectly affected consumer habits and the purchase of homes is also part of consumption. Moreover, as it requires a huge amount of funding and is not considered a general consumer product, people are particularly cautious when buying a house. In addition to considering factors such as the condition of the house itself, family structure, or the overall environment, they also take into account the quality of the surrounding living environment. Due to Taiwan`s island climate and unique geographical location, as well as the fact that it is crossed by the Tropic of Cancer, there are differences in the weather patterns in various regions of the island. The main weather indicators, such as rainfall, sunshine, temperature, and humidity, all show significant differences. If we observe these indicators based on the theoretical foundation of comfort in the WHO`s definition of living environment, the degree of variation in weather indicators can be attributed to environmental characteristics, indirectly affecting people`s lives and living quality. Therefore, in theory, it should have a certain degree of impact on housing prices. This study selected the period from 2011 to 2021 to examine the impact of weather changes on housing prices. The data showed positive spatial autocorrelation and spatial clustering effects in the housing price distribution, as revealed by the Moran`s I test. A fixed-effects spatial autoregressive model was adopted, and the empirical results showed that average temperature, disposable income per household, proportion of elderly population, general fertility rate, and the ratio of urban park area already developed had a significant positive impact on housing prices. On the other hand, temperature difference between the highest and lowest points, rainfall, vacancy rate for the previous year, crime rate, ratio of education, science and cultural expenditure, hospital beds per 10,000 population, and road density had no significant impact on housing prices. |
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Description: | 碩士 國立政治大學 行政管理碩士學程 110921007 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0110921007 |
Data Type: | thesis |
Appears in Collections: | [行政管理碩士學程(MEPA)] 學位論文
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