IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v71y2022i5p1543-1568.html
   My bibliography  Save this article

Environmental Engel curves: A neural network approach

Author

Listed:
  • Tullio Mancini
  • Hector Calvo‐Pardo
  • Jose Olmo

Abstract

Environmental Engel curves describe how households' income relates to the pollution associated with the services and goods consumed. This paper estimates these curves with neural networks using the novel dataset constructed in Levinson and O'Brien. We provide further statistical rigor to the empirical analysis by constructing prediction intervals obtained from novel neural network methods such as extra‐neural nets and MC dropout. The application of these techniques for five different pollutants allow us to confirm statistically that Environmental Engel curves are upward sloping, have income elasticities smaller than one and shift down, becoming more concave, over time. Importantly, for the last year of the sample, we find an inverted U shape that suggests the existence of a maximum in pollution for medium‐to‐high levels of household income beyond which pollution flattens or decreases for top income earners.

Suggested Citation

  • Tullio Mancini & Hector Calvo‐Pardo & Jose Olmo, 2022. "Environmental Engel curves: A neural network approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1543-1568, November.
    • Handle: RePEc:bla:jorssc:v:71:y:2022:i:5:p:1543-1568
    DOI: 10.1111/rssc.12588
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rssc.12588
    Download Restriction: no
    File URL: https://libkey.io/10.1111/rssc.12588?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. Burtraw, Dallas & Sweeney, Richard & Walls, Margaret, 2009. "The Incidence of U.S. Climate Policy: Alternative Uses of Revenues From a Cap-and-Trade Auction," National Tax Journal, National Tax Association;National Tax Journal, vol. 62(3), pages 497-518, September.
    2. Arik Levinson & James O’Brien, 2019. "Environmental Engel Curves: Indirect Emissions of Common Air Pollutants," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 121-133, March.
    3. Kevin A. Hassett & Aparna Mathur & Gilbert E. Metcalf, 2009. "The Incidence of a U.S. Carbon Tax: A Lifetime and Regional Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 155-178.
    4. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    5. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    6. Metcalf, Gilbert E., 1999. "A Distributional Analysis of Green Tax Reforms," National Tax Journal, National Tax Association, vol. 52(n. 4), pages 655-82, December.
    7. Corbett Grainger & Charles Kolstad, 2010. "Who Pays a Price on Carbon?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(3), pages 359-376, July.
    8. Metcalf, Gilbert E., 1999. "A Distributional Analysis of Green Tax Reforms," National Tax Journal, National Tax Association;National Tax Journal, vol. 52(4), pages 655-682, December.
    Full references (including those not matched with items on IDEAS)

    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. Arik Levinson & James O'Brien, 2015. "Environmental Engel Curves," NBER Working Papers 20914, National Bureau of Economic Research, Inc.
    2. Nils Ohlendorf & Michael Jakob & Jan Christoph Minx & Carsten Schröder & Jan Christoph Steckel, 2021. "Distributional Impacts of Carbon Pricing: A Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 1-42, January.
    3. Rausch, Sebastian & Metcalf, Gilbert E. & Reilly, John M., 2011. "Distributional impacts of carbon pricing: A general equilibrium approach with micro-data for households," Energy Economics, Elsevier, vol. 33(S1), pages 20-33.
    4. Fouquet, Roger & O'Garra, Tanya, 2022. "In pursuit of progressive and effective climate policies: Comparing an air travel carbon tax and a frequent flyer levy," Energy Policy, Elsevier, vol. 171(C).
    5. Nils Ohlendorf & Michael Jakob & Jan Christoph Minx & Carsten Schröder & Jan Christoph Steckel, 2018. "Distributional Impacts of Climate Mitigation Policies - a Meta-Analysis," Discussion Papers of DIW Berlin 1776, DIW Berlin, German Institute for Economic Research.
    6. Harding, Matthew & Kettler, Kyle & Lamarche, Carlos & Ma, Lala, 2023. "The (alleged) environmental and social benefits of dynamic pricing," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 574-593.
    7. Haan, Peter & Simmler, Martin, 2018. "Wind electricity subsidies — A windfall for landowners? Evidence from a feed-in tariff in Germany," Journal of Public Economics, Elsevier, vol. 159(C), pages 16-32.
    8. Frederick Ploeg, 2021. "Carbon pricing under uncertainty," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(5), pages 1122-1142, October.
    9. Martin Beznoska & Johanna Cludius & Viktor Steiner, 2012. "The Incidence of the European Union Emissions Trading System and the Role of Revenue Recycling: Empirical Evidence from Combined Industry- and Household-Level Data," Discussion Papers of DIW Berlin 1227, DIW Berlin, German Institute for Economic Research.
    10. Dorband, Ira Irina & Jakob, Michael & Kalkuhl, Matthias & Steckel, Jan Christoph, 2019. "Poverty and distributional effects of carbon pricing in low- and middle-income countries – A global comparative analysis," World Development, Elsevier, vol. 115(C), pages 246-257.
    11. van der Ploeg, Frederick & Rezai, Armon & Tovar Reanos, Miguel, 2022. "Gathering support for green tax reform: Evidence from German household surveys," European Economic Review, Elsevier, vol. 141(C).
    12. Thomas Douenne, 2018. "The vertical and horizontal distributive effects of energy taxes," Policy Papers 2018.05, FAERE - French Association of Environmental and Resource Economists.
    13. Justin Caron & Jefferson Cole & Richard Goettle & Chikara Onda & James Mcfarland & Jared Woollacott, 2018. "Distributional Implications Of A National Co2 Tax In The U.S. Across Income Classes And Regions: A Multi-Model Overview," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-32, February.
    14. Peter Haan & Martin Simmler, 2016. "Wind Electricity Subsidies = Windfall Gains for Land Owners? Evidence from Feed-In Tariff in Germany," Discussion Papers of DIW Berlin 1568, DIW Berlin, German Institute for Economic Research.
    15. Gonzalez, Fidel, 2012. "Distributional effects of carbon taxes: The case of Mexico," Energy Economics, Elsevier, vol. 34(6), pages 2102-2115.
    16. Don Fullerton & Holly Monti, 2010. "Can Pollution Tax Rebates Protect Low-Income Families? The Effects of Relative Wage Rates," NBER Working Papers 15935, National Bureau of Economic Research, Inc.
    17. Rausch Sebastian & Metcalf Gilbert E. & Reilly John M & Paltsev Sergey, 2010. "Distributional Implications of Alternative U.S. Greenhouse Gas Control Measures," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(2), pages 1-46, July.
    18. Feindt, Simon & Kornek, Ulrike & Labeaga, José M. & Sterner, Thomas & Ward, Hauke, 2021. "Understanding regressivity: Challenges and opportunities of European carbon pricing," Energy Economics, Elsevier, vol. 103(C).
    19. Fullerton, Don & Monti, Holly, 2013. "Can pollution tax rebates protect low-wage earners?," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 539-553.
    20. Upton, Gregory B. & Snyder, Brian F., 2017. "Funding renewable energy: An analysis of renewable portfolio standards," Energy Economics, Elsevier, vol. 66(C), pages 205-216.

    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:bla:jorssc:v:71:y:2022:i:5:p:1543-1568. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.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.