IDEAS home Printed from https://ideas.repec.org/p/zbw/cawmdp/58.html
   My bibliography  Save this paper

The impact of low emission zones on PM10 levels in urban areas in Germany

Author

Listed:
  • Malina, Christiane
  • Fischer, Frauke

Abstract

High levels of particulate matter scaling less than 10 micrometers in diameter (PM10) in many urban areas have led to the introduction of binding PM10 limit values by the European Commission in 2005. Road transport in inner city areas is believed to be one of the main contributors to accumulated PM10 levels and, thus, is the focus of regulation. One of the strongest regulatory mechanisms to meet the new PM10 air quality standard is the introduction of low emission zones (LEZs) in Germany. This policy allows local authorities to define geographical areas in urban agglomerations as LEZs, into which vehicles that do not meet predetermined emission standards are prohibited from entering. This paper evaluates the effectiveness of LEZs on reducing PM10 levels in German cities. We employ a fixed effects panel data model to analyze the effects of LEZs on daily PM10 levels using data from 2000 to 2009. We take into account daily data for meteorological conditions and traffic volume. The results of the analysis reveal that the introduction of LEZs has significantly reduced daily PM10 levels in urban areas. We can also show that PM10 levels are significantly driven down further when LEZ standards in cities become more stringent over time.

Suggested Citation

  • Malina, Christiane & Fischer, Frauke, 2012. "The impact of low emission zones on PM10 levels in urban areas in Germany," CAWM Discussion Papers 58, University of Münster, Münster Center for Economic Policy (MEP).
    • Handle: RePEc:zbw:cawmdp:58
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/62130/1/722149417.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kenneth Y. Chay & Michael Greenstone, 2003. "The Impact of Air Pollution on Infant Mortality: Evidence from Geographic Variation in Pollution Shocks Induced by a Recession," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 1121-1167.
    2. John G. Fernald, 1999. "Roads to Prosperity? Assessing the Link between Public Capital and Productivity," American Economic Review, American Economic Association, vol. 89(3), pages 619-638, June.
    3. Maximilian Auffhammer & Ryan Kellogg, 2011. "Clearing the Air? The Effects of Gasoline Content Regulation on Air Quality," American Economic Review, American Economic Association, vol. 101(6), pages 2687-2722, October.
    4. Kenneth Y. Chay & Michael Greenstone, 2005. "Does Air Quality Matter? Evidence from the Housing Market," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 376-424, April.
    5. Auffhammer, Maximilian & Bento, Antonio M. & Lowe, Scott E., 2009. "Measuring the effects of the Clean Air Act Amendments on ambient PM10 concentrations: The critical importance of a spatially disaggregated analysis," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 15-26, July.
    6. Ozbay, Kaan & Ozmen-Ertekin, Dilruba & Berechman, Joseph, 2007. "Contribution of transportation investments to county output," Transport Policy, Elsevier, vol. 14(4), pages 317-329, July.
    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. Montero, José-María & Fernández-Avilés, Gema, 2015. "Functional Kriging Prediction of Pollution Series: The Geostatistical Alternative for Spatially-fixed Data/Predicción de series de contaminación mediante kriging funcional. La alternativa geoestadísti," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 33, pages 145-179, Enero.

    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. repec:mut:wpaper:58 is not listed on IDEAS
    2. Malina, Christiane & Scheffler, Frauke, 2015. "The impact of Low Emission Zones on particulate matter concentration and public health," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 372-385.
    3. Ross Levine & Chen Lin & Zigan Wang, 2018. "Pollution and Human Capital Migration: Evidence from Corporate Executives," NBER Working Papers 24389, National Bureau of Economic Research, Inc.
    4. Joshua Graff Zivin & Matthew Neidell, 2012. "The Impact of Pollution on Worker Productivity," American Economic Review, American Economic Association, vol. 102(7), pages 3652-3673, December.
    5. Matthew Gibson, 2019. "Regulation-Induced Pollution Substitution," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 827-840, December.
    6. Wolff, Hendrik, 2014. "Keep Your Clunker in the Suburb: Low Emission Zones and Adoption of Green Vehicles," IZA Discussion Papers 8180, Institute of Labor Economics (IZA).
    7. Courtney J. Ward, 2015. "It's an ill wind: The effect of fine particulate air pollution on respiratory hospitalizations," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(5), pages 1694-1732, December.
    8. Kang, Cheolmin & Ota, Mitsuru & Ushijima, Koichi, 2024. "Benefits of diesel emission regulations: Evidence from the World's largest low emission zone," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    9. Meng-jieu Chen, 2021. "The abatement of particulate matter 2.5 in Los Angeles County: a counterfactual evaluation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7063-7088, May.
    10. Grainger, Corbett A., 2012. "The distributional effects of pollution regulations: Do renters fully pay for cleaner air?," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 840-852.
    11. Zhenhua Chen & Kingsley Haynes, 2015. "Multilevel assessment of public transportation infrastructure: a spatial econometric computable general equilibrium approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 663-685, May.
    12. Coury, Michael & Falconer, Liam & La Nauze, Andrea, 2024. "Wildfire smoke and private provision of public air-quality monitoring," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
    13. Arthi, Vellore & Parman, John, 2021. "Disease, downturns, and wellbeing: Economic history and the long-run impacts of COVID-19," Explorations in Economic History, Elsevier, vol. 79(C).
    14. Janet Currie & Reed Walker, 2011. "Traffic Congestion and Infant Health: Evidence from E-ZPass," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 65-90, January.
    15. Colmer, Jonathan & Lin, Dajun & Liu, Siying & Shimshack, Jay, 2021. "Why are pollution damages lower in developed countries? Insights from high-Income, high-particulate matter Hong Kong," Journal of Health Economics, Elsevier, vol. 79(C).
    16. Kyle C. Meng, 2016. "Estimating Path Dependence in Energy Transitions," NBER Working Papers 22536, National Bureau of Economic Research, Inc.
    17. Zhenhua Chen & Kingsley E. Haynes, 2015. "Regional Impact of Public Transportation Infrastructure," Economic Development Quarterly, , vol. 29(3), pages 275-291, August.
    18. Kenneth Y. Chay & Michael Greenstone, 2005. "Does Air Quality Matter? Evidence from the Housing Market," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 376-424, April.
    19. Karen Clay & Margarita Portnykh & Edson Severnini, 2021. "Toxic Truth: Lead and Fertility," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(5), pages 975-1012.
    20. Christopher Hansman & Jonas Hjort & Gianmarco León, 2015. "Firms' Response and Unintended Health Consequences of Industrial Regulations," Working Papers 809, Barcelona School of Economics.
    21. Li, Jennifer (Jie) & Massa, Massimo & Zhang, Hong & Zhang, Jian, 2021. "Air pollution, behavioral bias, and the disposition effect in China," Journal of Financial Economics, Elsevier, vol. 142(2), pages 641-673.

    More about this item

    Keywords

    Particulate matter; low emission zones; panel data;
    All these keywords.

    JEL classification:

    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:cawmdp:58. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/camuede.html .

    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.