Consumption preferences and environmental externalities: A hedonic analysis of the housing market in Guangzhou

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Willingness-to-pay of public transport users for improvement in service quality (2008, methodology): “The HPM has been specifically used to estimate the environmental externalities, like traffic noise, air pollution, urban development, transport safety, and so on (see for example, Garrod and Willis, 1999; Freeman, 2003; Jim and Chen, 2007).”
A Big Data–Based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore (2018, background): “Jim and Chen (2007) employed hedonic pricing models to study house-buyers’ preference on outdoor environmental quality in Guangzhou, China.”
Ecosystem services and valuation of urban forests in China (2009, background): “A view of urban forests would increase housing price by 8.6% in urban areas (Jim and Chen, 2007).”
Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China (2016, background): “However, it was found that good outdoor environment, including green space provision, proximity to parks, and views of green space and water, carried significant hedonic values (Bond, Seiler, & Seiler, 2002; Jim & Chen, 2007; Lansford & Jones, 1995).”