Environmental regulation as a double-edged sword for housing markets: Evidence from the NOx Budget Trading Program

Sumit Agarwal, Yongheng Deng and Teng Li

Journal of Environmental Economics and Management, 2019, vol. 96, issue C, 286-309

Abstract: We investigate the effects of environmental regulations on housing markets using a quasi-experimental setting—the NOx Budget Trading Program (NBP). Hedonic theory predicts that house prices should rise as pollution levels decrease. However, environmental regulations may also affect labor markets, and thus housing demand. Employing a difference-in-differences framework, we find that house prices shifted up in the regulated areas with low manufacturing intensity, whereas in the areas with high manufacturing intensity, housing markets were weakened. We also find that in high-manufacturing-intensity areas, loan application volume declined, rejection rate augmented, and the probability of loan default increased.

Keywords: NOx Budget Trading Program; Air pollution; House prices; Manufacturing intensity (search for similar items in EconPapers)
JEL-codes: Q5 Q53 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0095069618304509
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jeeman:v:96:y:2019:i:c:p:286-309

DOI: 10.1016/j.jeem.2019.06.006

Access Statistics for this article

Journal of Environmental Economics and Management is currently edited by M.A. Cole, A. Lange, D.J. Phaneuf, D. Popp, M.J. Roberts, M.D. Smith, C. Timmins, Q. Weninger and A.J. Yates

More articles in Journal of Environmental Economics and Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().