Effects of Waste-to-Energy Plants on China’s Urbanization: Evidence from a Hedonic Price Analysis in Shenzhen

Sun, Chuanwang; Meng, Xiaochun; Peng, Shuijun

doi:10.3390/su9030475

Cited by 33 publications

(16 citation statements)

References 52 publications

(29 reference statements)

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“…YEAR is a significant and negative characteristic in the model and represents the age of the residential unit. This finding is consistent with those of studies in Shenzhen [64] and Beijing [26]. For housing unit building types in Beijing, the data showed that compared to slab and other building types, homebuyers dislike tower buildings.…”

Section: Impact Of Housing Characteristics On Housing Pricessupporting

confidence: 82%

Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing

Zhang

Dong

2018

IJGI

129

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Street greenery is a component of urban green infrastructure. By forming foundational green corridors in urban ecological systems, street greenery provides vital ecological, social, and cultural functions, and benefits the wellbeing of citizens. However, because of the difficulty of quantifying people's visual perceptions, the impact of street-visible greenery on housing prices has not been fully studied. Using Beijing, which has a mature real estate market, as an example, this study evaluated 22,331 transactions in 2014 in 2370 private housing estates. We selected 25 variables that were classified into three categories-location, housing, and neighbourhood characteristics-and introduced an index called the horizontal green view index (HGVI) into a hedonic pricing model to measure the value of the visual perception of street greenery in neighbouring residential developments. The results show that (1) Beijing's homebuyers would like to reside in residential units with a higher HGVI; (2) Beijing's homebuyers favour larger lakes; and (3) Beijing's housing prices were impacted by the spatial development patterns of the city centre and multiple business centres. We used computer vision to quantify the street-visible greenery and estimated the economic benefits that the neighbouring visible greenery would have on residential developments in Beijing. This study provides a scientific basis and reference for policy makers and city planners in road greening, and a tool for formulating street greening policy, studying housing price characteristics, and evaluating real estate values.

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Section: Impact Of Housing Characteristics On Housing Pricessupporting

confidence: 82%

Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing

Zhang

Dong

2018

IJGI

129

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“…WTE facilities can be seen as one kind of LULU (locally unwanted land use), of which the benefits are usually broadly distributed, while most of the costs tend to be localised [44,45]. WTE facilities face considerable and strong opposition from the local communities in which they are situated because they have potential negative impacts (e.g., smell and dioxin release) on local residents' environments, health, or even property [14,46]. Protests against incinerators, or antiincinerator campaigns, have been documented in many countries/regions worldwide [47,48].…”

Section: Public Opposition Riskmentioning

confidence: 99%

Identification of Risk Factors Affecting PPP Waste-to-Energy Incineration Projects in China: A Multiple Case Study

Liu

Sun

Xia

et al. 2018

Advances in Civil Engineering

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Waste-to-energy (WTE) incineration technologies are considered an effective solution for sustainable and efficient municipal solid waste (MSW) disposal in China, and the public-private partnership (PPP) arrangement has been widely used to construct and operate WTE incineration projects. However, PPP WTE incineration projects in China are affected by numerous risks due to the long concession period, various participants, and other factors commonly involved in PPPs, resulting in a number of failures. In light of the pivotal role that risk identification, analysis, and response play in the successful development of PPP WTE incineration projects, this paper presents a multiple case study to identify the risk factors involved in China by drawing on experience from the real-life risk events of 35 PPP WTE incineration plants. 18 risk factors are identified; the most critical of which being public opposition risk, environmental pollution risk, government decision-making risk, a defective legal and regulatory system, and MSW supply risk. The results of the study provide a solid foundation for the future risk analysis, risk allocation, and risk response of PPP WTE incineration projects, and shed light on performance improvement of the PPP WTE incineration projects as well as the development of the PPP WTE industry in China.

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“…Thus, land purchase is vital as one of the primary consideration factors for investors. In addition, the distance to the residential area from refuse incineration power plant should not only be in accordance with rules published, but get the permission of residents nearby [41].…”

Section: Analysis On the Decision Factors Of The Wte Plant Site Selecmentioning

confidence: 99%

Site Selection of Waste-to-Energy (WtE) Plant considering Public Satisfaction by an Extended VIKOR Method

Lei

et al. 2018

Mathematical Problems in Engineering

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Site selection of waste-to-energy (WtE) plant is critically important in the whole life cycle. Some research has been launched in the WtE plant site selection, but there is still a serious problem called Not In My Back Yard (NIMBY) effect that needs to be solved. To solve the problem, an improved multigroup VIKOR method is proposed to choose the optimal site and compromised sites. In the proposed method, the public satisfaction is fully considered where the public is invited as an evaluation group far more than creating general indicators to represent the public acceptance. First of all, an elaborate criteria system is built to evaluate site options comprehensively and the weights of criteria are identified by Analytic Hierarchy Process (AHP) method. Then, the interval 2-tuple linguistic information is adopted to assess the ratings for the established criteria. The interval 2-tuple linguistic ordered weighted averaging (ITL-OWA) operator is utilized to aggregate the opinions of evaluation committee while the opinions of the public are aggregated using weighted average operator. Finally, a case from south China which shows the computational procedure and the effectiveness of the proposed method is proved. Last but not least, a sensitivity analysis is conducted by comparing the results with different weights of evaluation group assessments.

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Effects of Waste-to-Energy Plants on China’s Urbanization: Evidence from a Hedonic Price Analysis in Shenzhen

Cited by 33 publications

References 52 publications

Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing

Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing

Identification of Risk Factors Affecting PPP Waste-to-Energy Incineration Projects in China: A Multiple Case Study

Site Selection of Waste-to-Energy (WtE) Plant considering Public Satisfaction by an Extended VIKOR Method

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