| 研究生: |
沈晋輝 Jin-Hui Shen |
|---|---|
| 論文名稱: |
空氣汙染對於房價的影響-以桃園重劃區為例 |
| 指導教授: |
蔡栢昇
Bo-Sheng Cai |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 產業經濟研究所 Graduate Institute of Industrial Economics |
| 論文出版年: | 2022 |
| 畢業學年度: | 110 |
| 語文別: | 中文 |
| 論文頁數: | 61 |
| 中文關鍵詞: | 重劃區 、房價 、空氣汙染 、降雨量 、工具變數 |
| 外文關鍵詞: | Rezoning, Housing Prices, Air Pollution, Rainfall, Instrumental Variables |
| 相關次數: | 點閱:17 下載:0 |
| 分享至: |
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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。
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.
一、中文文獻
行政院環境保護署 (2022)。空氣品質監測網,臺北市:行政院。
https://airtw.epa.gov.tw/cht/Information/Standard/AirQualityIndicator.aspx
行政院新聞傳播處 (2020)。空氣污染防制大作戰—保護國人健康,讓臺灣
環境永續,臺北市:行政
院。https://www.ey.gov.tw/Page/5A8A0CB5B41DA11E/23c411a0-1b2
0-42e7-9843-daf6cdedc61b
自由時報 (2020)。自由健康網。
https://health.ltn.com.tw/article/breakingnews/3450212
內政部地政司 (2022)。重劃業務市地重劃,臺北市:內政
部。https://www.land.moi.gov.tw/chhtml/content/71
陳雅玫(2019)。臺灣人口結構變化對房價之實證研究。南臺科技大學企業管理
系碩士論文,臺南市。https://hdl.handle.net/11296/d9mg6x
黃建豪(2014)。環境品質及生活機能對房價的影響—以高雄市資料為例,佛光
大學應用經濟學系碩士論文,宜蘭縣。https://hdl.handle.net/11296/9h62cc
郭志榮(2019)。市地重劃與人口密度對住宅大樓價格之研究。國立高雄科技大
學財務金融學院博士班博士論文,高雄市。https://hdl.handle.net/11296/jc77ab
何政憲(2011)。環境品質與房屋特性對房價的影響效果—以台北市為例。南華
大學環境管理研究所碩士論文,嘉義縣。https://hdl.handle.net/11296/ah2g2f
吳怡蘋(2020)。空氣汙染對房價的影響效果—以台中市為例。國立中興大學企
業管理學系所碩士論文,台中市。https://hdl.handle.net/11296/3z9jeb
Capozza, D. R., Hendershott, P. H., Mack, C., & Mayer, C. J. (2002). Determinants of
real house price dynamics. National Bureau of Economic Research, 15(3), 55-64.
Carriazo-Osorio, F. (2007). Impacts of Air pollution on property values: An economic
valuation for Bogota [Unpublished manuscript]. Colombia.
https://www.semanticscholar.org/paper/Impacts-of-Air-Pollution-on-Property-Va
lues-%3A-an-%2C-Carriazo-Osorio/a363a671d17f379399bac3f4a3bb96e0ea226
14b
Case, K. E., & Mayer, C. J. (1996). Housing price dynamics within a metropolitan
area. Regional Science and Urban Economics, 26(3-4), 387-407.
Chau, K. W., & Wong, S. K. (2014). Externalities of urban renewal: A real option
perspective. The Journal of Real Estate Finance and Economics, 48(3), 546-560.
Chay, K. Y., & Greenstone, M. (2005). Does air quality matter? Evidence from the
housing market. Journal of political Economy, 113(2), 376-424.
Chiarazzo, V., Coppola, P., Dell’Olio, L., Ibeas, A., & Ottomanelli, M. (2014). The
effects of environmental quality on residential choice location. Procedia-Social
and Behavioral Sciences, 162, 178-187.
Davidson, R., & MacKinnon, J. G. (1993). Estimation and inference in econometrics
(Vol. 63). Oxford University Press.
Fontenla, M., Goodwin, M. B., & Gonzalez, F. (2019). Pollution and the choice of
where to work and live within Mexico City. Latin American Economic
Review, 28(1), 1-17.
Galati, G., Teppa, F., & Alessie, R. J. (2011). Macro and micro drivers of house price
dynamics: An application to Dutch data. Social Science Research Network,
33(11), 15-38.
Hanna, B. G. (2007). House values, incomes, and industrial pollution. Journal of
Environmental Economics and Management, 54(1), 100-112.
Jacob, D. J., & Winner, D. A. (2009). Effect of climate change on air
quality. Atmospheric environment, 43(1), 51-63.
Jud, G. D., & Winkler, D. T. (2002). The dynamics of metropolitan housing
prices. The Journal of Real Estate Research, 23(1/2), 29-46.
Lavaine, E. (2013). The price of pollution and health: An hedonic approach. Health
Economics, 4(2), 15-22.
Levitt, S. D. (1997). The impact of federal spending on House election outcomes.
Journal of political Economy, 105(1), 30-53.
Li, J., Fang, W., Shi, Y., & Ren, C. (2021). Assessing economic, social and
environmental impacts on housing prices in Hong Kong: A time-series study of
2006, 2011 and 2016. Journal of Housing and the Built Environment, 5(2), 1-25.
Lu, J., & Lee, Y. (2022). Spatial effects of air pollution on the housing market:
Evidence from South Korea. Journal of Real Estate Research, 44(1), 131-150.
Mehta, P. (2008). The impact of urban regeneration on local housing markets–A case
study of Liverpool. The Journal of Real Estate Finance and Economics, 15(2),
14-20.
Palicki, S., & Rącka, I. (2016). Influence of urban renewal on the assessment of
housing market in the context of sustainable socioeconomic city development.
In Smart City 360° (pp. 851-860). Springer Nature.
Rao, C., & Ge, Y. (2015, November). Analysis of main influence factors for housing
prices. In 2015 International conference on Engineering Management,
Engineering Education and Information Technology (3th ed.). Atlantis Press.
Stock, J. H., & Watson, M. W. (2019). An econometric model of international
long-run growth dynamics (No. w26593). National Bureau of EconomicResearch.
Tang, M., & Niemeier, D. (2021). How does air pollution influence housing prices in
the Bay area? International Journal of Environmental Research and Public
Health, 18(22), 12195.
Zheng, S., Cao, J., Kahn, M. E., & Sun, C. (2014). Real estate valuation and
cross-boundary air pollution externalities: Evidence from Chinese cities. The
Journal of Real Estate Finance and Economics, 48(3), 398-414.