(Re)scheduling Pollution Exposure: The Case of Surgery Schedules

Jialin Huang, Jianwei Xing and Eric Zou

No 28708, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Many human activities can be strategically timed around forecastable natural hazards to mute their impacts. We study air pollution shock mitigation in a high-stakes healthcare setting: hospital surgery scheduling. Using newly available inpatient surgery records from a major city in China, we track post-surgery survival for over 1 million patients, and document a significant increase of hospital mortality among those who underwent surgeries on days with high particulate matter pollution. This effect has two special features. First, pollution on the surgery day, rather than exposure prior to hospitalization, before or after the surgery, is primarily explanatory of the excess mortality. Second, a small but high-risk group – elderly patients undergoing respiratory or cancer operations – bears a majority of pollution’s damages. Based on these empirical findings, we analyze a model of hospital surgery scheduling. For over a third of the high-risk surgeries, there exists an alternative, lower-pollution day within three days such that moving the surgery may lead to a Pareto improvement in survival.

JEL-codes: C44 I18 O13 Q53 (search for similar items in EconPapers)
Date: 2021-04
New Economics Papers: this item is included in nep-cna, nep-env and nep-hea
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Published as Jialin Huang & Jianwei Xing & Eric Yongchen Zou, 2023. "(Re)scheduling pollution exposure: The case of surgery schedules," Journal of Public Economics, vol 219.

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