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Are denser cities greener? Evidence from China, 2000–2010

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  • Rui Wang
  • Quan Yuan

Abstract

Whether a city develops into a more compact one with a higher density or a more sprawling one may affect multiple aspects of the urban environment, including ecosystem health, greenhouse gas emissions, and quality of life. Using panel data gathered from China's cities from 2000 to 2010, we take advantage of the significant variation in the temporal change of density across cities to estimate the relationship between gross urban population density and multiple indicators of urban greenness. Fixed‐effects estimates support the widely held belief that density improves air quality and reduces the per capita carbon footprint. Results also suggest that higher density reduces the growth of road infrastructure and vehicle ownership and promotes walking. While density often translates into proximity and accessibility, higher density does reduce a city's per capita urban park and green space. This study strengthens the urban policy and planning literature with much needed longitudinal evidence. Our overall findings support higher density as opposed to lower density urban development in China.

Suggested Citation

  • Rui Wang & Quan Yuan, 2017. "Are denser cities greener? Evidence from China, 2000–2010," Natural Resources Forum, Blackwell Publishing, vol. 41(3), pages 179-189, August.
  • Handle: RePEc:wly:natres:v:41:y:2017:i:3:p:179-189
    DOI: 10.1111/1477-8947.12131
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    1. Mindali, Orit & Raveh, Adi & Salomon, Ilan, 2004. "Urban density and energy consumption: a new look at old statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(2), pages 143-162, February.
    2. Lisa Schweitzer & Jiangping Zhou, 2010. "Neighborhood Air Quality, Respiratory Health, and Vulnerable Populations in Compact and Sprawled Regions," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 363-371.
    3. Lichtenberg, Erik & Ding, Chengri, 2009. "Local officials as land developers: Urban spatial expansion in China," Journal of Urban Economics, Elsevier, vol. 66(1), pages 57-64, July.
    4. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    5. 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.
    6. Ng, Wei-Shiuen & Schipper, Lee & Chen, Yang, 2010. "China Motorization Trends: New Directions for Crowded Cities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(3), pages 5-25.
    7. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    8. Ingram, Gregory K. & Zhi Liu, 1997. "Motorization and the provision of roads in countries and cities," Policy Research Working Paper Series 1842, The World Bank.
    9. Brownstone, David & Golob, Thomas F., 2009. "The impact of residential density on vehicle usage and energy consumption," Journal of Urban Economics, Elsevier, vol. 65(1), pages 91-98, January.
    10. Kenworthy, Jeffrey R. & Laube, Felix B., 1999. "Patterns of automobile dependence in cities: an international overview of key physical and economic dimensions with some implications for urban policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 691-723.
    11. Reid Ewing & Fang Rong, 2008. "The impact of urban form on U.S. residential energy use," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 1-30, January.
    12. Chattopadhyay Sudip & Taylor Emily, 2012. "Do Smart Growth Strategies Have a Role in Curbing Vehicle Miles Traveled? A Further Assessment Using Household Level Survey Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-29, September.
    13. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
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    1. Wang, Jie & Zhang, Yuzhen & Zhang, Xiaoling & Song, Mengqiao & Ye, Jianping, 2023. "The spatio-temporal trends of urban green space and its interactions with urban growth: Evidence from the Yangtze River Delta region, China," Land Use Policy, Elsevier, vol. 128(C).

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