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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/131155


    Title: 褐地對周邊房價的影響分析
    The Effect of Brownfield on Surrounding Housing Prices
    Authors: 許芷涵
    Hsu, Chih-Han
    Contributors: 林左裕
    許芷涵
    Hsu, Chih-Han
    Keywords: 褐地
    房價
    特徵價格
    Spline迴歸
    分量迴歸
    Brownfield
    House prices
    Hedonic price model
    Spline regression
    Quantile regression
    Date: 2020
    Issue Date: 2020-08-03 18:06:35 (UTC+8)
    Abstract: 隨著科技日新月異與經濟發展，工商業以利潤為生產導向，產能增加的同時卻忽略對環境的外部成本。1990年代起環保意識抬頭，政府漸漸注重環境保護，因而陸續發現眾多汙染場址，惟汙染場址多已歷時甚久難以短期回復，故於2000年頒布施行「土壤及地下水污染整治法」，並開始有系統地調查、管制及整治。過去國內汙染研究大多著重空氣汙染，土地汙染文獻相對較少，且著重於環境工程以及對居民健康程度的影響或檢測分析，鮮少有褐地（brown field）對於不動產市場影響的相關研究。
    本研究採用內政部實價登錄交易資料及行政院環保署土壤及地下水列管場址資料圖資進行實證分析，並以特徵價格理論及Spline迴歸分析褐地對周圍房價的影響效果，再進一步以分量迴歸分析褐地對不同房價之影響差異，最後用交乘項分析褐地汙染嚴重程度對房價的影響。本研究實證顯示褐地確實對房價有顯著負面影響，主要影響範圍在4公里內，最遠影響範圍至8公里，住宅與褐地距離每增加1%，房屋價格將增加5.4%。此外，分量迴歸顯示褐地對高與低房價皆呈負向顯著關係，但與褐地1500公尺範圍外相比，1500公尺範圍內的高房價住宅約產生6.9%的跌價，低房價住宅僅1.3%的跌價，顯示房價較高的住宅所受到的衝擊較大。當住宅鄰近褐地為汙染較嚴重的整治場址時，朝場址方向每前進1%（27.44公尺），房屋總價將會下跌77.56萬元，但倘住宅鄰近的褐地為汙染較輕的控制場址時，朝著場址方向每前進1%（27.44公尺），房屋總價將會下跌40.87萬元。由此可知，汙染嚴重的整治場址與汙染較輕的控制場址相比，住宅若鄰近整治場址者對房價折損影響較大，惟隨著距離漸遠，汙染嚴重程度對房價的影響差距將會漸漸縮小至無差異。本研究釐清了褐地對周邊房價的負面外部性程度，可提供買賣雙方決策與政府相關政策方向之參考。
    With the rapid development of technology and economy, many business entities aim to make profits while ignore negative externalities to the environment. In recent years, the awareness of environmental protection has gradually risen. Nevertheless, the environment has been polluted so that it is difficult to remediate in the short term. Therefore, the Government of Taiwan promulgated the "Soil and Groundwater Pollution Remediation Act" in 2000 and began to systematically investigate, manage and carry out environmental remediation. In the past, relevant domestic studies mainly focused on air pollution. Not many studies concentrated on land pollution, and most of them were related to environmental engineering or how polluted lands influenced the health of surrounding residents. We therefore intend to examine the impact of brownfield on the house prices.
    Through the analysis of regression models, empirical results show that brownfield has a significantly negative impact on surrounding house prices. Further, high-price houses are more sensitive to the negative externalities of brownfield than low-price houses. Finally, houses adjacent to heavily polluted remediation sites have a greater value loss than those adjacent to less polluted control sites. Such difference of house price decrease will be gradually shorten and diminish as the distance increases. Results of this study clarifies the degree of the negative external impact of brownfield on the surrounding house prices, which provide precious suggestions to house buyers and sellers, as well as implications to policy making of governments.
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    王少芬、賴建模、楊詔凱、楊末雄，2003，「地下水的砷污染，烏腳病和其他相關的健康問題」，『化學』，61（3）：351-362。
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    二、英文參考文獻
    Aiken, L. S. and West, S. G., 1991, Multiple Regression: Testing and Interpreting Interactions, Newbury Park, CA: Sage.
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    De Vor, F. and De Groot, H., 2011, “The Impact of Industrial Sites on Residential Property Values: A Hedonic Pricing Analysis from the Netherlands”, Regional Studies, 45(5): 609-623.
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    Follain, J. R. and Malpezzi S., 1980, “Dissecting Housing Value and Rent”, Washington DC: The Urban Institute.
    Ihlanfeldt, K. R. and Taylor, L. O., 2004, “Externality Effects of Small Scale Hazardous Waste Sites: Evidence from Urban Commercial Property Markets”, Journal of Environmental Economics and Management, 47: 117-139.
    Kaufman, D. and Cloutier, N., 2006, “The Impact of Small Brownfields and Greenspaces on Residential Property Values”, the Journal of Real Estate Finance and Economics, 33(1): 19-30.
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    三、網頁參考文獻
    行政院環境保護署，2020，「業務專區－污染場址判定流程」，土壤及地下水汙染整治網。https://sgw.epa.gov.tw/Public/result/03，取用日期：2020年5月1日。
    The University of Sheffield Western, Professor Jeremy Dawson,“Interpreting interaction effects”, http://www.jeremydawson.co.uk/slopes.htm，取用日期：2020年5月1日。
    Description: 碩士
    國立政治大學
    地政學系
    106257024
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0106257024
    Data Type: thesis
    DOI: 10.6814/NCCU202000916
    Appears in Collections:[Department of Land Economics] Theses

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