The Greenness of China: Household Carbon Dioxide Emissions and Urban Development
China urbanization is associated with both increases in per-capita income and greenhouse gas emissions. This paper uses micro data to rank 74 major Chinese cities with respect to their household carbon footprint. We find that the "greenest" cities based on this criterion are Huaian and Suqian while the "dirtiest" cities are Daqing and Mudanjiang. Even in the dirtiest city (Daqing), a standardized household produces only one-fifth of that in America's greenest city (San Diego). We find that the average January temperature is strongly negatively correlated with a city's household carbon footprint, which suggests that current regional economic development policies that bolster the growth of China's northeastern cities are likely to increase emissions. We use our city specific income elasticity estimates to predict the growth of carbon emissions in China's cities.
|Date of creation:||Dec 2009|
|Date of revision:|
|Publication status:||published as Siqi Zheng & Rui Wang & Edward L. Glaeser & Matthew E. Kahn, 2011. "The greenness of China: household carbon dioxide emissions and urban development," Journal of Economic Geography, Oxford University Press, vol. 11(5), pages 761-792, September.|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
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- Auffhammer, Maximilian & Carson, Richard T., 2007.
"Forecasting the Path of China's CO2 Emissions Using Province Level Information,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt6d28j8rg, Department of Agricultural & Resource Economics, UC Berkeley.
- Auffhammer, Maximilian & Carson, Richard T., 2008. "Forecasting the path of China's CO2 emissions using province-level information," Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 229-247, May.
- Auffhammer, Maximilian & Carson, Richard Taylor, 2004. "Forecasting the path of China's CO2 emissions using province level information," CUDARE Working Paper Series 0971, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy, revised 2007.
- Alberto F. Ades & Edward L. Glaeser, 1995. "Trade and Circuses: Explaining Urban Giants," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 195-227.
- Douglas Holtz-Eakin & Thomas M. Selden, 1992.
"Stoking the Fires? Co2 Emissions and Economic Growth,"
NBER Working Papers
4248, National Bureau of Economic Research, Inc.
- Holtz-Eakin, Douglas & Selden, Thomas M., 1995. "Stoking the fires? CO2 emissions and economic growth," Journal of Public Economics, Elsevier, vol. 57(1), pages 85-101, May.
- Edward L. Glaeser & Matthew E. Kahn, 2008.
"The Greenness of Cities: Carbon Dioxide Emissions and Urban Development,"
NBER Working Papers
14238, National Bureau of Economic Research, Inc.
- Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
- Nicholas Stern, 2008. "The Economics of Climate Change," American Economic Review, American Economic Association, vol. 98(2), pages 1-37, May.
- Alexander Pfaff & Shubham Chaudhuri & Howard Nye, 2004. "Household Production and Environmental Kuznets Curves – Examining the Desirability and Feasibility of Substitution," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 27(2), pages 187-200, February.
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