IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v41y2014i5p767-769.html
   My bibliography  Save this article

Scaling: Lost in the Smog

Author

Listed:
  • Rémi Louf

    (Institut de Physique Théorique, Commissariat à l'Énergie Atomique, Saclay)

  • Marc Barthelemy

    (Institut de Physique Théorique, Commissariat à l'Énergie Atomique, Saclay, and Centre d'Analyse et de Mathématique Sociales, École des Hautes Études en Sciences Sociales)

Abstract

No abstract is available for this item.

Suggested Citation

  • Rémi Louf & Marc Barthelemy, 2014. "Scaling: Lost in the Smog," Environment and Planning B, , vol. 41(5), pages 767-769, October.
    • Handle: RePEc:sae:envirb:v:41:y:2014:i:5:p:767-769
    DOI: 10.1068/b4105c
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b4105c
    Download Restriction: no
    File URL: https://libkey.io/10.1068/b4105c?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Yanguang & Huang, Linshan, 2019. "Modeling growth curve of fractal dimension of urban form of Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1038-1056.
    2. Yu Sang Chang & Hann Earl Kim & Seongmin Jeon, 2019. "Do Larger Cities Experience Lower Crime Rates? A Scaling Analysis of 758 Cities in the U.S," Sustainability, MDPI, vol. 11(11), pages 1-16, June.
    3. Chunshan Zhou & Jing Chen & Shaojian Wang, 2018. "Does Migrant Status and Household Registration Matter? Examining the Effects of City Size on Self-Rated Health," Sustainability, MDPI, vol. 10(7), pages 1-15, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Zeyu & Tang, Yuhong & Shen, Hebin & Liu, Jiali & Hu, Zheng, 2024. "Threshold effects of Government digital development and land resource disparity on Urban carbon efficiency in China," Resources Policy, Elsevier, vol. 94(C).
    2. Carozzi, Felipe & Roth, Sefi, 2023. "Dirty density: Air quality and the density of American cities," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    3. Schünemann, Johannes & Trimborn, Timo, 2023. "Boosting taxes for boasting about houses? Status concerns in the housing market," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 120-143.
    4. Julie Anne Cronin & Don Fullerton & Steven Sexton, 2019. "Vertical and Horizontal Redistributions from a Carbon Tax and Rebate," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 6(S1), pages 169-208.
    5. Long Qian & Yunjie Zhou & Ying Sun, 2023. "Regional Differences, Distribution Dynamics, and Convergence of the Green Total Factor Productivity of China’s Cities under the Dual Carbon Targets," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    6. Morikawa, Masayuki, 2012. "Population density and efficiency in energy consumption: An empirical analysis of service establishments," Energy Economics, Elsevier, vol. 34(5), pages 1617-1622.
    7. Chegut, Andrea & Eichholtz, Piet & Kok, Nils, 2019. "The price of innovation: An analysis of the marginal cost of green buildings," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    8. Gudipudi, Ramana & Rybski, Diego & Lüdeke, Matthias K.B. & Zhou, Bin & Liu, Zhu & Kropp, Jürgen P., 2019. "The efficient, the intensive, and the productive: Insights from urban Kaya scaling," Applied Energy, Elsevier, vol. 236(C), pages 155-162.
    9. Guangyang Chen & Kai Dong & Shaonan Wang & Xiuli Du & Ronghua Zhou & Zhongwei Yang, 2022. "The Dynamic Relationship among Bank Credit, House Prices and Carbon Dioxide Emissions in China," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    10. QIN, Bo & WU, Jianfeng, 2015. "Does urban concentration mitigate CO2 emissions? Evidence from China 1998–2008," China Economic Review, Elsevier, vol. 35(C), pages 220-231.
    11. He, Xiaoping, 2022. "Energy effect of urban diversity: An empirical study from a land-use perspective," Energy Economics, Elsevier, vol. 108(C).
    12. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    13. Castells-Quintana, David & Dienesch, Elisa & Krause, Melanie, 2021. "Air pollution in an urban world: A global view on density, cities and emissions," Ecological Economics, Elsevier, vol. 189(C).
    14. Huang, Robert & Kahn, Matthew E., 2024. "An economic analysis of United States public transit carbon emissions dynamics," Regional Science and Urban Economics, Elsevier, vol. 107(C).
    15. Denant-Boemont, Laurent & Gaigné, Carl & Gaté, Romain, 2018. "Urban spatial structure, transport-related emissions and welfare," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 29-45.
    16. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    17. Gaigné, Carl & Riou, Stéphane & Thisse, Jacques-François, 2012. "Are compact cities environmentally friendly?," Journal of Urban Economics, Elsevier, vol. 72(2), pages 123-136.
    18. Fercovic, Juan & Gulati, Sumeet, 2016. "Comparing household greenhouse gas emissions across Canadian cities," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 96-111.
    19. Sun Meng & Wei Zhou & Jin Chen & Cheng Zhang, 2018. "A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis," Energy & Environment, , vol. 29(2), pages 260-280, March.
    20. Wu, Dong & Geng, Yong & Pan, Hengyu, 2021. "Whether natural gas consumption bring double dividends of economic growth and carbon dioxide emissions reduction in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:41:y:2014:i:5:p:767-769. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.