环境类邻避设施对北京市住宅价格影响研究——以大型垃圾处理设施为例

doi:10.11821/dlyj020190689

Abstract

Abstract:

In recent years, with the expansion of cities, the distribution range of garbage disposal stations has gradually overlapped with urban living spaces, and affected the quality of residents' lives. In the past, people's perception of the problem of garbage sewers in Beijing came only from sensory impressions. In fact, garbage disposal sites and facilities only accounted for a small part of the “encirclement of the city”, but the scope of its impact on the living space is relatively large. The specific impact degree and scope need to be analyzed quantitatively to reach an objective conclusion. Taking the streets within the Sixth Ring Road of Beijing as the research scope, this paper analyzes the impact of waste treatment and transfer facilities on the housing price, as well as the spatial scope of the impact of waste treatment facilities on surrounding housing prices. On this basis, the impact range of Asuwei waste treatment center on the surrounding housing prices is analyzed. The results show that: (1) on average, large-scale waste treatment facilities in Beijing will affect the price of residential buildings within a distance of 6 km. This result is consistent with the previous results derived by scholars. There are 810 residential areas and nearly 700 thousand households in the affected area. (2) The impact of Asuwei waste treatment center on the surrounding housing prices reaches 14 km, which is far beyond the average impact range of waste treatment facilities and the protection distance specified in the construction standards.

Key words: waste treatment, NIMBY facilities, housing prices, spatial scope, Beijing

DANG Yi, YU Jianhui, ZHANG Wenzhong. The impact of NIMBY facilities on housing prices in Beijing: A case study of large waste disposal facilities[J].GEOGRAPHICAL RESEARCH, 2020, 39(8): 1769-1781.

Figures/Tables 10

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References 35

[1]	Ohare M. Not on my block you don't: Facility siting and the strategic importance of compensation. Public Policy. 1977,24(4):407-458.
[2]	吴云清, 翟国方, 李莎莎 . 邻避设施国内外研究进展. 人文地理, 2012,27(6):7-12.
	[ Wu Yunqing, Zhai Guofang, Li Shasha . Progress in research of NIMBY facility home and abroad. Human Geography, 2012,27(6):7-12.]
[3]	李永展, 何纪芳 . 台北地方生活圈都市服务设施之邻避效果. 都市与计划, 1996,23(1):95-116.
	[ Li Yongzhan, He Jifang . The neighborhood effect of urban service facilities in local life circle. Urban and Planning, 1996,23(1):95-116.]
[4]	裴军 . 城市环境污染的现状、原因及对策建议. 中国科技论坛, 2009, (2):98-102.
	[ Pei Jun . Current situation, reasons and countermeasure suggestions of urban environmental pollution. Forum on Science and Technology in China, 2009, (2):98-102.]
[5]	张启蒙, 张越 . 垃圾处理设施周边居民风险感知与邻避行为倾向研究. 环境科学与管理, 2017,42(2):1-4.
	[ Zhang Qimeng, Zhang Yue . Risk perception and NIMBY behavior of waste treatment plant neighboring residents. Environmental Science and Management, 2017,42(2):1-4.]
[6]	周丽旋, 彭晓春, 关恩浩 , 等. 垃圾焚烧设施公众“邻避”态度调查与受偿意愿测算. 生态经济, 2012,37(12):174-177.
	[ Zhou Lixun, Peng Xiaochun, Guan Enhao , et al. Public NIMBY attitude survey and WTA estimate of waste incineration facility. Ecological Economy, 2012,37(12):174-177.]
[7]	Che Y, Yang K, Jin Y, et al. Residents' concerns and attitudes toward a municipal solid waste landfill: Integrating a questionnaire survey and GIS techniques. Environmental Monitoring and Assessment, 2013,185(12):10001-10013. doi: 10.1007/s10661-013-3308-y pmid: 23793647
[8]	Ho M. H. Determinants of cross-border tenure choice decision. Habitat International, 2006,30(1):144-156.
[9]	Colwell P F. A primer on piecewise parabolic multiple regression analysis via estimations of Chicago CBD land prices. The Journal of Real Estate Finance and Economics, 1998,17(1):87-97.
[10]	Clapp J M, Kim H J, Gelfand A E. Predicting spatial patterns of house prices using LPR and bayesian smoothing. Real Estate Economics, 2010,30(4):505-532.
[11]	Asabere P K, Huffman F E. Thoroughfares and apartment values. Social Science Electronic Publishing, 1996,12(1):9-16.
[12]	Haurin D R, Brasington D M. School quality and real house prices: Inter- and intrametropolitan effects. Journal of Housing Economics, 1996,5(4):351-368. doi: 10.1006/jhec.1996.0018
[13]	杨尚 . 城市教育配套对住宅价格的影响研究. 浙江: 浙江大学硕士学位论文, 2013.
	[ Yang Shang . Research on the influence of urban education package on housing price. Zhejiang: Master Dissertation of Zhejiang University, 2013.]
[14]	Bateman I J, Day B, Lake I, et al. The effect of road traffic noise on residential property values: A literature review and hedonic pricing study. Transport Research, 2001,12(2):95-106.
[15]	夏宾, 张彪, 谢高地 , 等. 北京建城区公园绿地的房产增值效应评估. 资源科学, 2012,34(7):1347-1353.
	[ Xia Bin, Zhang Wei, Xie Gaodi , et al. The value-added effect of park green space on residential property in Beijing. Resources Science, 2012,34(7):1347-1353.]
[16]	吴文佳, 张晓平, 李媛芳 , 等. 北京市景观可达性与住宅价格空间关联. 地理科学进展, 2014,33(4):488-498.
	[ Wu Wenjia, Zhang Xiaoping, Li Yuanfang , et al. Spatial correlation analysis of landscape accessibility and residential housing price in Beijing. Progress in Geography, 2014,33(4):488-498.]
[17]	石忆邵, 张蕊 . 大型公园绿地对住宅价格的时空影响效应: 以上海市黄兴公园绿地为例. 地理研究, 2010,29(3):510-520.
	[ Shi Yishao, Zhang Rui . Temporal-spatial impact effects of large-scale parks on residential prices: Exemplified by the Huangxing Park in Shanghai. Geographical Research, 2010,29(3):510-520.]
[18]	Kain J F, Quigley J M. Measuring the value of housing quality. Publications of the American Statistical Association, 1970,65(330):532-548.
[19]	温海珍, 贾生华 . 市场细分与城市住宅特征价格分析. 浙江大学学报: 人文社会科学版, 2006,36(2):155-161.
	[ Wen Haizhen, Jia Shenghua . Market segment and hedonic price analysis of urban housing. Journal of Zhejiang University: Humanities and Social Sciences, 2006,36(2):155-161.]
[20]	周沁, 郭江涛, 高晓晖 . 市场细分下上海市二手房特征价格分析. 经济师, 2017, (10):52-54.
	[ Zhou Qin, Guo Jiangtao, Gao Xiaojun . Analysis of the characteristics of second-hand housing in Shanghai under market segmentation. China Economist, 2017, (10):52-54.]
[21]	张维阳, 李慧, 段学军 . 城市轨道交通对住宅价格的影响研究: 以北京市地铁一号线为例. 经济地理, 2012,32(2):46-51.
	[ Zhang Weiyang, Li Hui, Duan Xuejun . The impacts of rail transit on property values: The case of No.1 line in Beijing. Economic Geography, 2012,32(2):46-51.]
[22]	何剑华, 郑思齐 . 新建地铁能提升住宅价格吗?: 以北京地铁13号线为例. 城市开发, 2004, (11):36-38.
	[ He Jianhua, Zheng Siqi . Can the new subway increase the housing price?: Take Beijing Metro Line 13 as an example. Urban Development, 2004, (11):36-38.]
[23]	陈庚, 朱道林, 苏亚艺 , 等. 大型城市公园绿地对住宅价格的影响: 以北京市奥林匹克森林公园为例. 资源科学, 2015, (11):36-38.
	[ Chen Geng, Zhu Daolin, Su Yayi , et al. The effects of large-scale urban park green spaces on residential prices exemplified by Olympic Forest Park in Beijing. Resources Science, 2015, (11):36-38.]
[24]	温海珍, 张凌, 彭鲁凤 . 杭州市住宅价格空间分异: 基于特征价格的两维度分析. 中国土地科学, 2010,24(2):51-56.
	[ Wen Haizhen , Zhang Ling and Peng Lufeng. Spatial variation of housing prices in Hangzhou city: Two-dimensional analysis based on hedonic prices. China Land Science, 2010,24(2):51-56.]
[25]	Zheng S, Sun W, Wang R. Land supply and capitalization of public goods in housing prices: Evidence from Beijing. Journal of Regional Science, 2014,54(4):550-568.
[26]	Fack G, Grenet J. When do better schools raise housing prices? Evidence from Paris public and private schools. Journal of Public Economics, 2010,94(1):59-77.
[27]	陈力 . 城市固废处置设施对周边住宅价格的影响. 上海: 华东师范大学硕士学位论文, 2018.
	[ Chen Li . Influence of urban solid waste disposal facilities on surrounding housing prices. Shanghai: Master Dissertation of East China Normal University, 2018.]
[28]	吴运娟, 张冶 . 北大蓝旗营集资建房购房实证研究. 城市开发, 1999, (4):35-37.
	[ Wu Yunjuan, Zhang Ye . An empirical study on the housing purchase of blue banner camp of Peking University. Urban Development, 1999, (4):35-37.]
[29]	檀灵慧, 裘椒朵, 王若仙 . 邻避设施对不动产价值影响研究: 以杭州市中泰乡九峰垃圾焚烧发电厂为例. 特区经济, 2017, (4):37-39.
	[ Tan Linghui, Qi Jiaoduo, Wang Ruoxian . Adjacent to avoid impact on real estate value as well as their compensation mechanism research: Hangzhou Zhongtai township nine peaks garbage incineration power plant as an example. Special Economic Zone, 2017, (4):37-39]
[30]	Davis L W. The effect of power plants on local housing values and rents. Review of Economics and Statistics, 2011,93(4):1391-1402.
[31]	Currie J, Davis L, Greenstone M, et al. Environmental health risks and housing values: Evidence from 1, 600 toxic plant openings and closings. American Economic Review, 2015,105(2):678-709. pmid: 27134284
[32]	Hite D, Chern W, Hitzhusen F, et al. Property-value impacts of an environmental disamenity: The case of landfills. The Journal of Real Estate Finance and Economics, 2001,22(2):185-202.
[33]	Eshet T, Baron M G, Shechter M, et al. Measuring externalities of waste transfer stations in Israel using hedonic pricing. Waste Management, 2007,27(5):614-625. doi: 10.1016/j.wasman.2006.03.021 pmid: 16759843
[34]	陈佛保, 郝前进 . 环境市政设施的邻避效应研究: 基于上海垃圾中转站的实证分析. 城市规划, 2013,312(8):72-78.
	[ Chen Fobao, Hao Qianjin . NIMBY effects caused by environmental facilities: A case study on waste transfer stations in Shanghai. City Planning Review, 2013,312(8):72-78.]
[35]	Wolverton A. Effects of socio-economic and input-related factors on polluting plants' location decisions. The BE Journal of Economic Analysis & Policy, 2009,9(1):1-32.

名称	包括垃圾处理设施	总处理能力（t/天）	居民投诉微博数（条）
阿苏卫垃圾处理中心	阿苏卫垃圾焚烧厂、阿苏卫垃圾卫生填埋场、阿苏卫垃圾综合处理厂	6600	899
高安屯垃圾处理中心	高安屯垃圾焚烧厂、朝阳垃圾焚烧中心、高安屯垃圾卫生填埋场	4400	367
南宫垃圾处理中心	南宫垃圾堆肥厂、南宫生活垃圾焚烧厂	3000	172
丰台垃圾处理中心	丰台餐厨厨余垃圾处理厂、丰台区循环经济产业园残渣填埋场、丰台湿解厂	2900	41

编号	名称	设计处理能力（t/天）	所在区县	类型
1	高安屯垃圾焚烧厂	1600	朝阳区	焚烧
2	朝阳垃圾焚烧中心	1800	朝阳区	焚烧
3	海淀区循环经济产业园再生能源发电	1800	海淀区	焚烧
4	鲁家山垃圾焚烧厂	3000	门头沟区	焚烧
5	南宫生活垃圾焚烧厂	1000	大兴区	焚烧
6	阿苏卫垃圾焚烧厂	3000	昌平区	焚烧
7	丰台餐厨厨余垃圾处理厂	300	丰台区	生化
8	丰台湿解厂	600	丰台区	生化
9	董村垃圾综合处理厂	300	通州区	生化
10	阿苏卫垃圾综合处理厂	1600	昌平区	生化
11	南宫垃圾堆肥厂	2000	大兴区	生化
12	高安屯垃圾卫生填埋场	1000	朝阳区	卫生填埋
13	六里屯垃圾卫生填埋场	1500	海淀区	卫生填埋
14	丰台区循环经济产业园残渣填埋场	2000	丰台区	卫生填埋
15	阿苏卫垃圾卫生填埋场	2000	昌平区	卫生填埋
16	马家楼分选转运站	980	丰台区	转运
17	小武基大型固废分选转运站	980	朝阳区	转运
18	大屯转运站	1500	朝阳区	转运
19	五路居转运站	1500	海淀区	转运
20	石景山垃圾转运站	500	石景山区	转运

特征	细分特征	变量名称	量化指标
建筑特征	楼房特征	房龄	2019减去房产的建设年份
		建筑类型	塔楼/板楼/塔板结合/平房
		层数	所在楼房总层数
	房屋特征	所在楼层	地下室/底层/低楼层/中楼层/高楼层/顶层
		朝向	朝北/无朝北（是否有朝北房间）
		房屋数量	住宅房间总数
		装修情况	毛坯/简装/精装
		总面积	房屋总面积
		房屋结构	平层/跃层
区位特征	交通便捷程度	地铁站路网距离	住房到最近地铁站的路网距离
	交通便捷程度	公交站路网距离	住房到最近公交站的路网距离
	区域中心程度	CBD距离	住房到CBD的直线距离
	区域中心程度	环线范围	住房所处的环线范围
	经济背景	街道写字楼个数	住房所在街道写字楼个数
	经济背景	区县GDP	住房所在区县2017年的GDP
邻里特征	邻避设施	垃圾处理及转运设施距离	住房到最近大型垃圾处理设施的距离
		医院路网距离	住房到最近二乙级及以上医院路网距离
		铁路距离	住房到最近铁路的直线距离
		机场距离	住房到最近机场的直线距离
	便民设施	超市路网距离	住房到最近超市路网距离
		商场路网距离	住房到最近大商场的路网距离
		中小学路网距离	住房到最近重点中小学的路网距离
		宗教场所路网距离	住房到最近清真寺/教堂/寺庙的路网距离
		公园路网距离	住房到最近公园的路网距离

特征	细分特征	变量名称		标准化系数	显著性
建筑特征	楼房特征	房龄		-0.13	0.000^***
		层数		0.049	0.000^***
		建筑类型（参照类：板楼）	塔楼	-0.142	0.000^***
			平房	0.008	0.000^***
			塔板结合	-0.038	0.000^***
	房屋特征	所在楼层（参照类：中楼层）	地下室	-0.065	0.000^***
			底层	0.014	0.000^***
			低楼层	-0.007	0.000^***
			高楼层	-0.011	0.000^***
			顶层	-0.046	0.000^***
		朝向（参照类：无朝北房间）	有朝北房间	0.025	0.000^***
		房屋数量（参照类：1间）	2间	0.039	0.000^***
			3间	0.085	0.000^***
			4间	0.128	0.000^***
			5间	0.137	0.000^***
			6间	0.078	0.000^***
			7间	0.043	0.000^***
			8间	0.025	0.000^***
		装修情况（参照类：毛坯）	简装	-0.009	0.304
		装修情况（参照类：毛坯）	精装	0.05	0.000^***
		总面积		-0.225	0.000^***
		房屋结构（参照类：平层）	跃层	0.023	0.000^***
区位特征	交通便捷度	地铁站路网距离		-0.008	0.086^*
	交通便捷度	公交站路网距离		0.012	0.000^***
	中心程度	CBD距离		-0.139	0.000^***
	中心程度	环线范围		-0.449	0.000^***
	经济背景	街道写字楼个数		0.124	0.000^***
	经济背景	区县GDP		0.195	0.000^***
邻里特征	邻避设施	垃圾处理及转运设施距离		0.099	0.000^***
		医院路网距离		0.118	0.000^***
		铁路距离		0.078	0.000^***
		机场距离		0.145	0.000^***
	便民设施	超市路网距离		0.031	0.000^***
		商场路网距离		-0.063	0.000^***
		重点中小学路网距离		-0.167	0.000^***
		宗教场所路网距离		-0.017	0.000^***
		公园路网距离		-0.048	0.000^***

区间编号	所在区间（对照组：>9;单位：km）	标准化系数	显著性
1	0~3	-0.013	0.000^***
2	3~5	-0.011	0.000^***
3	5~6	-0.005	0.039^**
4	6~7	-0.003	0.304
5	7~9	-0.003	0.327

The impact of NIMBY facilities on housing prices in Beijing: A case study of large waste disposal facilities

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区间编号	所在区间（对照组：>15;单位：km）	标准化系数	显著性
1	0~9	-0.162	0.000^***
2	9~10	-0.128	0.000^***
3	10~11	-0.101	0.000^***
4	11~12	-0.079	0.000^***
5	12~13	-0.059	0.000^***
6	13~14	-0.036	0.000^***
7	14~15	-0.004	0.184

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