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A dragon eating its own tail: public control of air pollution information in China

Published online by Cambridge University Press:  09 November 2018

Chiara Ravetti*
Affiliation:
Polytechnic of Turin, Turin, Italy
Tim Swanson
Affiliation:
Graduate Institute of Geneva (IHEID), Geneva, Switzerland
Yana Jin
Affiliation:
The College of William and Mary, Williamsburg, Virginia, USA
Quan Mu
Affiliation:
The College of William and Mary, Williamsburg, Virginia, USA
Shiqiu Zhang
Affiliation:
Peking University, College of Environmental Sciences and Engineering, Beijing, China
*
*Corresponding author. E-mail: [email protected]

Abstract

This paper analyses the implications of government control over public information about air pollution. First, we model the incentives for a local government with control over the media to affect popular perception concerning pollution. We argue that biased announcements can influence the inflows of labour force in a municipality beyond economic factors. Then, we examine some evidence on information misreporting in the context of Beijing, China. We show that official air pollution announcements diverge systematically from an alternative source of information, provided by the US Embassy. The results point at a manipulation of popular perception consistent with the motives indicated in our model. Furthermore, using an original household survey, we examine whether the distorted public signal affects agents' behaviour. We find that households that depend upon government-controlled media are significantly less responsive to pollution peaks.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2018 

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References

Alberini, A and Krupnick, A (2000) Cost-of-illness and willingness-to-pay estimates of the benefits of improved air quality: Evidence from Taiwan. Land Economics 76, 3753.Google Scholar
Andrews, SQ (2008) Inconsistencies in air quality metrics: ‘Blue Sky’ days and PM10 concentrations in Beijing. Environmental Research Letters 3, 114.Google Scholar
Angeletos, GM and Pavan, A (2007) Efficient use of information and social value of information. Econometrica 75, 11031142.Google Scholar
Besley, T and Burgess, R (2002) The political economy of government responsiveness: theory and evidence from India. Quarterly Journal of Economics 117, 14151451.Google Scholar
Besley, T and Prat, A (2006) Handcuffs for the grabbing hand? Media capture and government accountability. American Economic Review 96, 720736.Google Scholar
Brunetti, A and Weder, B (2003) A free press is bad news for corruption. Journal of Public Economics 87, 18011824.Google Scholar
Bucovetsky, S. (1991) Asymmetric tax competition. Journal of Urban Economics 30, 167181.Google Scholar
Chang, D, Song, Y and Liu, B (2009) Visibility trends in six megacities in China 1973–2007. Atmospheric Research 94, 161167.Google Scholar
Chen, Y, Zhe, JG, Naresh, K and Guang, S (2012) Gaming in air pollution data? Lessons from China. The B.E. Journal of Economic Analysis and Policy 13, 143.Google Scholar
Chiquiar, D and Hanson, GH (2005) International migration, self-selection, and the distribution of wages: evidence from Mexico and the United States. Journal of Political Economy 113, 239281.Google Scholar
Djankov, S, McLeish, C, Nenova, T and Shleifer, A (2003) Who owns the media? Journal of Law and Economics 46, 341–81.Google Scholar
Dur, R and Swank, OH (2005) Producing and manipulating information. Economic Journal 115, 185199.Google Scholar
Gavazza, A and Lizzeri, A (2009) Transparency and economic policy. Review of Economic Studies 76, 10231048.Google Scholar
Ghanem, D and Zhang, J (2014) Effortless perfection: do Chinese cities manipulate air pollution data? Journal of Environmental Economics and Management 68, 203225.Google Scholar
Greene, WH (2012) Econometric Analysis, 7th ed. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Halvorsen, R and Palmquist, R (1980) The interpretation of dummy variables in semilogarithmic equations. American Economic Review 70, 474475.Google Scholar
Janeba, E and Osterloh, S (2013) Tax and the city – a theory of local tax competition. Journal of Public Economics 106, 89100.Google Scholar
Jia, R (2014) Pollution for promotion. Mimeo San Diego: University of California.Google Scholar
Kennedy, PW, Laplante, B and Maxwell, J (1994) Pollution policy: the role for publicly provided information. Journal of Environmental Economics and Management 26, 3143.Google Scholar
Liu, Z, Hu, B, Wang, L, Wu, F, Gao, W and Wang, Y (2015) Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study. Environmental Science and Pollution Research 22, 627–42.Google Scholar
Liu, C, Tsow, F, Zou, Y and Tao, N (2016) Particle pollution estimation based on image analysis. PLoS ONE 11 (2), e0145955.Google Scholar
McKenzie, D, Theoharides, C and Yang, D (2014) Distortions in the international migrant labor market: evidence from Filipino migration and wage responses to destination country economic shocks. American Economic Journal: Applied Economics 6, 4975.Google Scholar
Michalski, T and Stoltz, G (2013) Do countries falsify economic data strategically? Some evidence that they might. Review of Economics and Statistics 95, 591616.Google Scholar
Morris, S and Shin, HS (2002) Social value of public information. American Economic Review 92, 15211534.Google Scholar
Munshi, K and Rosenzweig, M (2016) Networks and misallocation: insurance, migration, and the rural-urban wage gap. American Economic Review 106, 4698.Google Scholar
Naso, P and Swanson, T (2017) Competition between governance units within a federal structure: impacts on migration and pollution. CIES Research Paper, forthcoming.Google Scholar
Pindyck, RS and Rubinfeld, DL (1998) Econometric Models and Economic Forecasts, 4th ed. New York: McGraw-Hill.Google Scholar
Ravetti, C, Swanson, T, Jin, YP, Quan, M and Shiquiu, Z (2014) A household survey of the cost of illness due to air pollution in Beijing, China. CIES Research Paper, No. 28.Google Scholar
Reporters Without Borders (2016), World press freedom index. Paris: RSF.Google Scholar
Stoerk, T (2016) Statistical corruption in Beijing's air quality data has likely ended in 2012. Atmospheric Environment 127, 365371.Google Scholar
Tang, X, Chen, W and Wu, T (2018) Do authoritarian governments respond to public opinion on the environment? evidence from china. International Journal of Environmental Research and Public Health 15, 266281.Google Scholar
Tiebout, C (1956) A pure theory of local expenditures. Journal of Political Economy 64, 416424.Google Scholar
WHO (2005) Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide. Global update 2005. Summary of risk assessment, World Health Organization.Google Scholar
Williams, A (2009) On the release of information by governments: causes and consequences. Journal of Development Economics 89, 124138.Google Scholar
Wilson, J (1995) Mobile labor, multiple tax instruments, and tax competition. Journal of Urban Economics 38, 333356.Google Scholar
Zheng, S and Kahn, ME (2013) Understanding China's urban pollution dynamics. Journal of Economic Literature 51, 731–72.Google Scholar
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