Environmental Quality and Real Estate

Increasing demand for greenness

Conceptual model

Using the EKC model, PM10 data cross 85 cities in China from the year 2003 to 2012, we estimate that the “turning point” in an EKC model for Chinese cities is 13,000 US dollars. In this model we controlled by population, manufacturing share and precipitation level. Out of the 85 cities in the dataset, there were 33 cities in 2012 that have passed the turning point.

We find that when income and education attainment level increase in cities, their citizens’ demands for risk reduction, health and quality of life, also increase. Using revealed preference in the housing market and self-protective behaviors, we illustrate the demand for quality of life is increasing among Chinese urban citizens.

 

Revealed preference evidences in the housing market

By studying the impact of air pollution on housing prices, we observe that people’s demand for clean air is capitalized in the housing market. 

Our study of land and residential property market in Beijing, using the classic hedonic housing price model and the new housing transaction data, proves that public goods adds a premium to housing prices. The significant factor includes proximity to universities, as well as better air quality, which gives evidence that people are willing to pay more for clean air and the access to quality educational resources. Also, considering the cross-boundary effect of air pollution, we use instrument variables and find that a decrease in imported neighbor pollution by 10 percent will accompany with a 0.76% increase in local home prices. Cities with higher ambient pollution levels have lower housing prices. Through the years, the capitalization for quality non-market amenities kept rising.

Energy consumption is another concern regarding environmental attributes

The floor area of new residential buildings certified by the Chinese Green Building Label system only account for 0.8% of the floor space under construction in 2013. The incentive for developers to build green housing largely depend on homebuyers’ willingness to pay. As residential utility rate is relatively low in China, it gives little incentives for purchasing green buildings. However, our empirical study suggests that there are people who are willing to pay extra for green housing.

We examine the role of information of building performance in affecting homebuyers’ decision and willingness to pay in green buildings. Through a treatment experiment, our study suggests that homebuyers have significantly higher willingness to pay for green housing if they acknowledge concrete information about the performance. The non-green residential group has a significant increase in their willingness to buy the green building. The price they were willing to pay was almost the same with those who already live in the green building. This result suggests that people have equal incentives to purchase green buildings if solid proof of better building performance is available.


Responses from the government

Government’s regulations and investment play a key role in mitigating environmental externalities. Our empirical studies suggest that cities’ environmental quality plays a role in local official’s political promotion.

The incentive for local official taking actions in environmental investments and regulations come from two directions: one being the central government, and another being the general public. In this sense, local officials are “sandwiched” by the central government and general public.

The incentive of the central government comes from three aspects. First, the demand for green amenities is increasing among middle-class urban residents.  Second, the central government is concerned with domestic energy security and they have the ambition to make China the world leader in the nascent clean energy technology market sector. Third, the central government wants to prove to the public, despite the fact that being a one-party political system, it is still legitimate. GDP growth is no longer the sole criteria for official’s promotion; the central government adds environmental performance as part of the checklist for government officials.

From economic side, since local government depends heavily on land sale revenue, they have the incentive, to raise land sale price. As land prices depend heavily on the quality of local amenities, they have the incentive to improve the environmental qualities of their cities.

Wealthier cities have fewer incentives to restrain environmental regulation goals, while more impoverished cities have to give priority to jobs and economic goals. Our studies show that in a city with higher per capita income and education attainment, the city government is more likely to make regulations and mitigate environmental pollutions. Cities rely on tourism are also more incentivized to keep environment clean. In our study, we also find that younger mayors have more incentives to implement environmental regulations. Older mayors, may have little incentive to get promoted, or they find the comfort zone to stay with their established networks. On the contrary, young mayors are more ambitious in getting promoted in the political system, so they stick to the guidelines from central government.

Air Pollution + Real Estate

Does air pollution from neighboring cities affect local real estate values?

Evidence from Chinese cities.

Urban air pollution in China can originate from within the city and outside the city.

 

Air pollution ‘imports’ (cross boundary externalities) from neighboring cities have major public health and quality of life consequences. Certain households may be willing to pay higher housing prices for cleaner air.

We explored the role of neighboring pollution on local real estate prices.

 
 

We use data from 85 Chinese cities and looked at their PM10 concentration and city-level variables, such as income and economic activity. Cross-boundary pollution spillovers was used as an instrumental variable to provide more credible estimates.

 

The willingness to pay for clean air increases about 2.8x if the average resident gets a higher income. Households in larger cities (first-tier) are 3x more willing to pay for clean air.

We find that a decrease in pollution from neighboring cities significantly increases local home prices.

The Chinese urban population is enjoying increased income and the average urbanite is increasingly well educated. Such households are likely to be more willing to pay more to protect their health and thus willing to pay more to avoid urban air pollution. 

We find that there is a higher willingness to pay for clean air in larger and richer Chinese cities.

 

The hukou system (housing registration system) constraint on labor mobility is likely to be further phased out. Before, workers could only work in a city if they were registered to a local hukou. After the phasing out, with a higher degree of free mobility, people can migrate to cities with a better quality of life. This mobility and higher quality of life will be reflected in higher capitalization in real estate prices.​

We find that cities with higher entrance barrier have lower clean air price premiums. This is consistent with the theory that real estate prices in cities with barriers to entry are not as affected by 'imported' air pollution from neighboring cities.

Our results imply that public policies that reduce cross-boundary pollution flows between cities will simultaneously improve public health in the destination cities and lead to higher real estate prices.

 

Team

Siqi Zheng

MIT Sustainable Urbanization Lab, Department of Urban Studies and Planning, 

Center for Real Estate​

Matthew Kahn

Johns Hopkins University and NBER

Yuming Fu
National University of Singapore

Jing Cao
Tsinghua University

Hongyu Liu
Tsinghua University

Cong Sun
Shanghai University of Economics and Finance

 

Publications

Nam, K., Ou, Y. & Zheng, S. (2021). Impacts of Air Pollution on Urban Housing Prices in China. Journal of Housing and the Built Environment, forthcoming.

Deng, H., Sun, W., Yip, S. & Zheng, S. (2020). Household Income Inequality Aggravates High-Temperature Exposure Inequality in Urban China. Journal of Environmental Management, 275, 111224.

Sun, W., Zhang, X., Li, H., Wu, J., & Zheng, S. (2018). Environmental ideology and household energy conservation in Beijing. Journal of cleaner production, 195, 1600-1608.

Zheng, S., & Kahn, M. E. (2017). A new era of pollution progress in urban China?. Journal of Economic Perspectives, 31(1), 71-92.

Yang, Z., Fan, Y., & Zheng, S. (2016). Determinants of household carbon emissions: Pathway toward eco-community in Beijing. Habitat International, 57, 175-186.

Zhang, L., Sun, C., Liu, H., & Zheng, S. (2016). The role of public information in increasing homebuyers' willingness-to-pay for green housing: Evidence from Beijing. Ecological Economics, 129, 40-49.

Zheng, S., Kahn, M. E., Sun, W., & Luo, D. (2014). Incentives for China's urban mayors to mitigate pollution externalities: The role of the central government and public environmentalism. Regional Science and Urban Economics, 47, 61-71.

Zheng, S., Cao, J., Kahn, M. E., & Sun, C. (2014). Real estate valuation and cross-boundary air pollution externalities: evidence from Chinese cities. The Journal of Real Estate Finance and Economics, 48(3), 398-414.

Zheng, S., Kahn, M. E., & Liu, H. (2010). Towards a system of open cities in China: Home prices, FDI flows and air quality in 35 major cities. Regional Science and Urban Economics, 40(1), 1-10.

Zheng, S., Fu, Y., & Liu, H. (2009). Demand for urban quality of living in China: evidence from cross-city land rent growth. Journal of Real Estate Finance and Economics, 38(3), 194-213.

Zheng, S., & Kahn, M. E. (2008). Land and residential property markets in a booming economy: New evidence from Beijing. Journal of Urban Economics, 63(2), 743-757.

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Green and healthy buildings