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姓名 沈晋輝(Jin-Hui Shen)  查詢紙本館藏   畢業系所 產業經濟研究所
論文名稱 空氣汙染對於房價的影響-以桃園重劃區為例
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摘要(中) 隨著科技的進步和工業化的日益發展,伴隨著的是每年空氣汙染的加劇。根據
世界衛生組織的報告,空氣汙染已經是人類健康威脅的主因之一。目前桃園市產
業蓬勃發展、工作機會充沛、再加上相對合宜的房價,使得桃園市家庭戶數大幅
增加。因為人口的遷入,重劃區變成人們居住的一大選擇。
本研究主要探討桃園市(桃園區、中壢區、平鎮區、觀音區、龍潭區)空氣汙染
對房地產價格的影響,並分為重劃區與非重劃區兩大類。本文使用資料為 2017
年 1 月至 2021 年 12 月間環境保護署、內政部地政司不動產交易實價登錄、交通
部中央氣象局資料,在桃園市政府地政局網站上的資料得知各個重劃區重劃後的
地號,利用地籍圖資網路便民服務系統查詢實際的路段及門牌號,於實價登錄資
料中進行篩選,得到重劃區有效樣本 11,148 筆以及非重劃區有效樣本 33,543 筆。
有鑒於空氣汙染與房價之間存在內生性問題,因此使用降雨量作為工具變數,
並利用二階段最小平方法(2SLS)進行估計。實證結果發現於 2SLS 模型重劃區樣
本下,空氣品質指標(AQI)、二氧化硫(SO2)、一氧化碳(CO)、臭氧(O3)、懸浮微
粒(PM10)、細懸浮微粒(PM2.5)、二氧化氮(NO2)皆對房地產價格呈現負向影響,
當上述七種空氣污染物濃度上升 1ppb 或 1μg/m3
,房地產單價會下降新臺幣
46.8576 至 4195.2 元;而在非重劃區樣本下,皆對房地產單價產生不顯著的影響。
可以得知重劃區相較於非重劃區而言,其環境因素對於房價的影響較大。
本文建議建商競投重劃區土地時多加注意選址附近的地勢風向及周遭區域發
展,因為空氣品質很大程度上影響著房價。另外,因應重劃區的快速發展,政府
應多加完善現有的空氣汙染法規從總量上減少污染源。同時,建議行政機關設立
重劃區時考慮地理位置及空氣品質、妥善規劃重劃區的軌道運輸與共乘交通、以
及健全重劃區的生活機能以減少跨區移動。
摘要(英) With the advancement of science and technology and the increasing degree of
industrialization, it is accompanied by worsening air pollution every year. According
to the World Health Organization, air pollution is presented as one of the main human
health threats. At present, Taoyuan City′s booming industries, abundant job
opportunities, and relatively affordable housing prices have led to a substantial
increase in the number of households. Due to the migration of people, rezoned areas
have become a major choice for people to live in.
This study mainly discusses the impact of air pollution on real estate prices in
Taoyuan City (Taoyuan District, Zhongli District, Pingzhen District, Guanyin District,
and Longtan District), and divides into rezoned areas and non-rezoned areas. The data
used in this article is from January 2017 to December 2021 from the Environmental
Protection Administration, the real estate transaction registration of the Department of
Land Administration, and the Central Weather Bureau. Information presented on the
website of Department of Land Administration, Taoyuan reports the rezoned land
numbers in each rezoned area, using the cadastral map information network
convenience service system to query the actual road sections and house numbers, and
screening them in the real-price registration data to obtain 11,148 valid samples in
rezoned and 33,543 valid samples in non-rezoned areas.
In view of the endogeneity problem between air pollution and housing prices,
rainfall was used as an instrumental variable in two-stage least squares method (2SLS)
for estimation. The empirical results found that under the 2SLS model rezoned
samples, Air Quality Index (AQI), Sulfur Dioxide (SO2), Carbon Monoxide (CO),
Ozone (O3 ), Particulate Matters (PM10 ), Fine Particulate Matters (PM2.5 ) and
Nitrogen Dioxide (NO2) have a negative impact on real estate prices. When the
concentration of the above seven air pollutants increases rises by 1 ppb or 1 μg/m3
,
the unit price of real estate will drop by NT$46.8576 to NT$4195.2. However, in
non-rezoned areas, the effects were found to be insignificant. It can be seen that
compared to non-rezoned areas, environmental factors have a greater impact on
housing prices in rezoned areas.
This article recommends that real estate developers pay more attention to the
terrain and wind direction near the site and the development of surrounding areas
when bidding for rezoned land, because air quality substantially affects housing prices.
In addition, in response to the rapid development of rezoning, the government should
improve the existing air pollution regulations to reduce the total amount of pollution
sources. At the same time, it is recommended that administrative agencies should
consider geographic location and air quality when setting up rezoned areas, properly
ii
plan rail transportation and shared modes of transportation in rezoned areas, and
improve the living functions of rezoned areas to reduce cross-regional movements.
關鍵字(中) ★ 重劃區
★ 房價
★ 空氣汙染
★ 降雨量
★ 工具變數
關鍵字(英) ★ Rezoning
★ Housing Prices
★ Air Pollution
★ Rainfall
★ Instrumental Variables
論文目次 目錄
摘 要 .....................................................................................................................i
ABSTRACT...................................................................................................................ii
誌謝 .............................................................................................................................iv
圖目錄 .........................................................................................................................vi
表目錄 ........................................................................................................................vii
第一章:緒論 ..............................................................................................................1
1.1 研究背景與動機 .............................................................................................1
1.2 研究目的 .........................................................................................................4
1.3 研究範圍 .........................................................................................................4
1.4 研究架構 .........................................................................................................5
第二章、桃園重劃區與房地產市場現況 ................................................................12
2.1 桃園重劃區概況 ...........................................................................................12
2.2 桃園市房地產市場概況 ...............................................................................13
第三章:文獻回顧 ....................................................................................................15
3.1 影響房價的因素 ...........................................................................................15
3.2 重劃區對於住房市場影響相關研究 ...........................................................16
3.3 空氣汙染對於房價影響相關研究 ...............................................................17
3.4 工具變數 .......................................................................................................18
第四章、資料與變數 ................................................................................................18
4.1 實價登錄資料 ...............................................................................................18
4.2 空氣品質資料 ...............................................................................................20
4.3 降雨量資料 ...................................................................................................21
4.4 模型中變數之介紹 .......................................................................................22
第五章、模型設定 ....................................................................................................22
5.1 普通最小平方法 (Ordinary Least Squares, OLS)........................................22
5.2 二階最小平方法 (Two-stage Least Squares, 2SLS)....................................23
5.3 D-W-H 檢定 (Durbin–Wu–Hausman Test) ..................................................24
第六章、實證結果 ....................................................................................................25
6.1 敘述性統計 ...................................................................................................25
6.2 OLS 及 2SLS 實證結果 ...............................................................................30
第七章、結論 ............................................................................................................41
7.1 研究結論 .......................................................................................................41
7.2 研究意涵 .......................................................................................................41
7.3 研究建議與限制 ...........................................................................................42
參考文獻 ....................................................................................................................44
附錄 ............................................................................................................................48
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指導教授 蔡栢昇(Bo-Sheng Cai) 審核日期 2022-8-10
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