Article

Linking urban air pollution with residents' willingness to pay for greenspace: A choice experiment study in Beijing

Details

Citation

Liu Z, Hanley N & Campbell D (2020) Linking urban air pollution with residents' willingness to pay for greenspace: A choice experiment study in Beijing. Journal of Environmental Economics and Management, 104, Art. No.: 102383. https://doi.org/10.1016/j.jeem.2020.102383

Abstract
This study investigates the nexus between urban air pollution and residents’ preferences for greenspace. The two environmental issues could be linked through people’s general tastes for environmental amenities helping to determine residential location choice, implying that residents of heavily-polluted neighbourhoods may care less about environmental amenities in general, including greenspace. Alternatively, high pollution levels could force people to reduce their local outdoor activities and thereby devalue urban greenspace as local recreational resources. Finally, residents of severely-polluted areas may derive additional benefits from greenspace as trees can enhance air quality. To examine these issues, we undertook choice experiment surveys in Beijing to elicit willingness to pay (WTP) for three types of greenspace: a neighbourhood park near respondents’ homes, a city park in central Beijing and a national park outside the city. We then used air pollution data to help explain the spatial heterogeneity in WTP. Neighbourhood parks provide direct air purification services for communities nearby, and our results indeed suggest that respondents exposed to higher pollution levels have higher WTP for a new neighbourhood park. However, we failed to find evidence of a significant effect of pollution on WTP for a new city park or a new national park.

Keywords
Greenspace; Urban air pollution; Spatial heterogeneity of preferences; Choice experiment; Willingness to pay; Mixed logit model; Instrumental variable

Journal
Journal of Environmental Economics and Management: Volume 104

StatusPublished
Publication date30/11/2020
Publication date online10/09/2020
Date accepted by journal02/09/2020
URLhttp://hdl.handle.net/1893/31776
PublisherElsevier BV
ISSN0095-0696

People (1)

People

Professor Danny Campbell

Professor Danny Campbell

Professor, Economics