'Effortless Perfection:' Do Chinese Cities Manipulate Air Pollution Data?

By Dalia Ghanem, Junjie Zhang. 2014

507 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e0e06fbd0bdd477745d2ec791887f3214d052407

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In Economics and Econometrics

Citations in the corpus

Can Technology Solve the Principal-Agent Problem? Evidence from China’s War on Air Pollution (2020, unknown): “In particular, Chen et al. (2012) and Ghanem and Zhang (2014) document the unsmoothness in the distribution of air quality data and reveal that the data are manipulated at a critical threshold (Air Pollution Index=100).”
From Fog to Smog: the Value of Pollution Information (2019, background): “Recent research has found evidence of widespread manipulation of the API data (Andrews, 2008; Chen et al., 2012; Ghanem and Zhang, 2014; Greenstone et al., 2019).”
Air Quality and Manufacturing Firm Productivity: Comprehensive Evidence from China (2017, unknown): “Third, ground-based pollution data is potentially subject to human manipulation (Andrews, 2008; Ghanem and Zhang, 2014) while the satellite data is not.”
Happiness in the Air: How Does a Dirty Sky Affect Mental Health and Subjective Well-being? (2017, methodology): “11 If the government indeed manipulates the API data when air quality is extremely bad as suggested by Chen et al. (2012) and Ghanem and Zhang (2014), using the official API data tends to underestimate the true impact of air pollution.”
Brain drain: The impact of air pollution on firm performance (2020, background): “Some studies suggest that city governments manipulate AQI data at the margin of 100 to win the “blue-sky” award (a blue-sky day is defined as a day with an AQI below 100) (Ghanem and Zhang, 2014).”
The effects of license plate-based driving restrictions on air quality: Theory and empirical evidence (2017, background): “The credibility of China’s API data has been questioned (Andrews, 2008, Ghanem and Zhang, 2014), but Chen et al. (2013) do not find any evidence of gaming of the API in Beijing.”
Air pollution and defensive expenditures: Evidence from particulate-filtering facemasks (2017, unknown): “To address the concern that air pollution data may be manipulated by local authorities (Ghanem and Zhang, 2014), we obtained the PM2.”
Temperature Effects on Productivity and Factor Reallocation: Evidence from a Half Million Chinese Manufacturing Plants (2018, methodology): “To address this, we use visibility as a proxy for air pollution since we do not have national Chinese daily air pollution data (Ghanem and Zhang, 2014).”
The Effect of Air Pollution on Migration: Evidence from China (2017, unknown): “Importantly, the accuracy of early disclosed data has been put into question and recent papers suggest political motives behind the attempts to conceal high concentrations from official records (Ghanem and Zhang, 2014).”