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Can Technology Solve the Principal-Agent Problem? Evidence from China's War on Air Pollution

Michael Greenstone, Guojun He, Ruixue Jia and Tong Liu

American Economic Review: Insights, 2022, vol. 4, issue 1, 54-70

Abstract: We examine the introduction of automatic air pollution monitoring to counter suspected tampering at the local level, a central feature of China's "war on pollution." Exploiting 654 regression discontinuity designs based on city-level variation in the day that monitoring was automated, we find an immediate and lasting increase of 35 percent in reported PM10 concentrations post-automation. Moreover, automation's introduction increased online searches for face masks and air filters, which are strong predictors of purchases. Overall, our findings suggest that the biased and imperfect information prior to automation led to suboptimal investments in defensive measures, plausibly imposing meaningful welfare costs.

JEL-codes: D82 O13 P28 Q53 Q55 Q58 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (28)

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DOI: 10.1257/aeri.20200373

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