Thursday, December 3, 2015

OxCARRE's Chiara Ravetti at VoxEU:China, information and air pollution

OxCARRE's Chiara Ravetti [] together with co-authors Yana Jin, Mu Quan, Zhang Shiqiu and Timothy Swanson write on

China, information and air pollution
Many cities in China have notoriously high levels of air pollution. Given its tight control over the media, the Chinese government has a high degree of control over public information about air quality. This column explores the government’s incentive to downplay the seriousness of pollution spikes. Households that rely exclusively on public media are found to engage in less self-protective behaviours. This could lead to substantial public health costs in the long run that might otherwise have been avoided.
Read on at VoxEU [], based on a full paper:

A dragon eating its own tail: public information about pollution in China

This paper examines how a government that controls both public information and pollution emissions can exercise discretion in its choice of pollution signals, and thus influence pollution responses in the population. We develop a model of the government’s optimal decision about pollution emissions and information about them, and we apply its results in the context of the information distortions and the adaptation choices of households in Beijing, China. We proceed in three stages. First, we use a simple signal extraction model to motivate why a government may choose to distort information about pollution. Then, we perform a time series analysis on air pollution announcements, to test empirically if the information signal in Beijing is biased when compared to an alternative measure from the US Embassy. This analysis indicates that public information is systematically modified, as predicted by our model. Finally, using data from an original household survey, we examine the effect of the distorted public signal on agents’ behavior, and find that those who rely on public media controlled by the government are significantly less responsive to pollution peaks, demonstrating the impact of governmental control over information.
Available here []

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