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  4. UNDERSTANDING MISSING DATA IN REAL-TIME POLLUTION MONITORING SYSTEM IN CHINA

UNDERSTANDING MISSING DATA IN REAL-TIME POLLUTION MONITORING SYSTEM IN CHINA

File(s)
Han_cornell_0058O_10639.pdf (5.05 MB)
Permanent Link(s)
https://doi.org/10.7298/j09j-7a81
https://hdl.handle.net/1813/67479
Collections
Cornell Theses and Dissertations
Applied Economics and Management MS Theses
Author
Han, Congyan
Abstract

Using both remote sensing data on air pollution and publicly reported hourly PM2.5 data from ground-level monitoring stations, this paper examines whether the quality of the publicly reported PM2.5 is affected by selective reporting whereby high-level hourly pollution readings are dropped in the reported data. Our analysis shows that the contemporaneous level of air pollution measured by the Aerosol Optical Depth (AOD) has a negative relationship with the frequency of data missing. This relation- ship is weaker in dirty cities measured by the average AOD during the sample period and is reversed in very dirty cities.

Date Issued
2019-08-30
Keywords
Economics
Degree Discipline
Applied Economics and Management
Degree Name
M.S., Applied Economics and Management
Degree Level
Master of Science
Type
dissertation or thesis

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