IDEAS home Printed from https://ideas.repec.org/p/ags/aaea13/150567.html
   My bibliography  Save this paper

Measuring the Energy Savings from Tree Shade

Author

Listed:
  • Maher, Joe

Abstract

The energy savings from tree shade coincide with peak electricity demand during summer months, creating an opportunity for utilities to use tree protection policies as demand side management tools. We apply a quasi-experimental research design to identify the change in residential energy caused by tree removals using three unique micro-level datasets from Gainesville, Florida. These datasets include (i) a twelve year panel of monthly household electricity billing data for 30,000 homes serviced by Gainesville Regional Utility, (ii) city permit data that identify the timing and location of tree removals, and (iii) property appraisal data detailing structural building characteristics for each home. Results of a difference-in-difference model suggest that removing mature trees in urban setting significantly increases residential energy use. After a tree removal, households experience a 3 percent increase in average monthly utility consumption across the year. The treatment effect is largest during summer months, with an average electricity increase of 4 to 5 percent following a tree removal.

Suggested Citation

  • Maher, Joe, 2013. "Measuring the Energy Savings from Tree Shade," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150567, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea13:150567
    DOI: 10.22004/ag.econ.150567
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/150567/files/Maher_AAEA_P3348_TreeShade.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.150567?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. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
    2. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 524-546, December.
    3. Pandit, Ram & Laband, David N., 2010. "Energy savings from tree shade," Ecological Economics, Elsevier, vol. 69(6), pages 1324-1329, April.
    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. Rouhollahi, Mina & Whaley, David & Behrend, Monica & Byrne, Josh & Boland, John, 2022. "The role of residential tree arrangement: A scoping review of energy efficiency in temperate to subtropical climate zones," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    2. Arik Levinson, 2014. "How Much Energy Do Building Energy Codes Really Save? Evidence from California," NBER Working Papers 20797, National Bureau of Economic Research, Inc.

    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. Lucas A. Mariani & Jose Renato Haas Ornelas & Bernardo Ricca, 2023. "Banks’ Physical Footprint and Financial Technology Adoption," Working Papers Series 576, Central Bank of Brazil, Research Department.
    2. Benlagha, Noureddine & Hemrit, Wael, 2020. "Internet use and insurance growth: evidence from a panel of OECD countries," Technology in Society, Elsevier, vol. 62(C).
    3. Wang, Bo & Yu, Yunjun & Yang, Ziying & Zhang, Xiaomei, 2021. "Microfinance institutions and Peer-to-Peer lending: What does microfinance competition bring?," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    4. Ummad Mazhar & Ceyhun Elgin, 2013. "Environmental Regulation, Pollution and the Informal Economy," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 9, pages 62-81.
    5. Cerqua, Augusto & Urwin, Peter & Thomson, Dave & Bibby, David, 2020. "Evaluation of education and training impacts for the unemployed: Challenges of new data," Labour Economics, Elsevier, vol. 67(C).
    6. Anika Kreutzberg & Rowena Jacobs, 2020. "Improving access to services for psychotic patients: does implementing a waiting time target make a difference," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 703-716, July.
    7. Yugang He & Chunlei Wang, 2022. "Does Buddhist Tourism Successfully Result in Local Sustainable Development?," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    8. Chimere O. Iheonu, 2019. "Governance and Domestic Investment in Africa," Working Papers 19/001, European Xtramile Centre of African Studies (EXCAS).
    9. Suham Cahyono & Iman Harymawan & Khairul Anuar Kamarudin, 2023. "The impacts of tenure diversity on boardroom and corporate carbon emission performance: Exploring from the moderating role of corporate innovation," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2507-2535, September.
    10. Hamid Boustanifar & Everett Grant & Ariell Reshef, 2018. "Wages and Human Capital in Finance: International Evidence, 1970–2011 [Financial reform: what shakes it? What shapes it?]," Review of Finance, European Finance Association, vol. 22(2), pages 699-745.
    11. Okui, Ryo, 2009. "Testing serial correlation in fixed effects regression models based on asymptotically unbiased autocorrelation estimators," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2897-2909.
    12. Miguel García-Posada & Juan Mora-Sanguinetti, 2015. "Entrepreneurship and enforcement institutions: disaggregated evidence for Spain," European Journal of Law and Economics, Springer, vol. 40(1), pages 49-74, August.
    13. Sergio Afcha & Jose García-Quevedo, 2016. "The impact of R&D subsidies on R&D employment composition," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(6), pages 955-975.
    14. Zhao, Congyu & Wang, Jianda & Dong, Kangyin & Wang, Kun, 2023. "How does renewable energy encourage carbon unlocking? A global case for decarbonization," Resources Policy, Elsevier, vol. 83(C).
    15. Merino, José & Borja, Victor Hugo & Lopez, Oliva & Ochoa, José Alfredo & Clark, Eduardo & Petersen, Lila & Caballero, Saul, 2021. "Ivermectin and the odds of hospitalization due to COVID-19: evidence from a quasi-experimental analysis based on a public intervention in Mexico City," SocArXiv r93g4, Center for Open Science.
    16. Jing Wang & Gen Li & Kai-Lung Hui, 2022. "Monetary Incentives and Knowledge Spillover: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 68(5), pages 3549-3572, May.
    17. Lin, Boqiang & Omoju, Oluwasola E., 2017. "Focusing on the right targets: Economic factors driving non-hydro renewable energy transition," Renewable Energy, Elsevier, vol. 113(C), pages 52-63.
    18. Kelly, Scott & Shipworth, Michelle & Shipworth, David & Gentry, Michael & Wright, Andrew & Pollitt, Michael & Crawford-Brown, Doug & Lomas, Kevin, 2013. "Predicting the diversity of internal temperatures from the English residential sector using panel methods," Applied Energy, Elsevier, vol. 102(C), pages 601-621.
    19. Wheeler, P. Barrett, 2019. "Loan loss accounting and procyclical bank lending: The role of direct regulatory actions," Journal of Accounting and Economics, Elsevier, vol. 67(2), pages 463-495.
    20. Leduc, Elisabeth & Tojerow, Ilan, 2020. "Subsidizing Domestic Services as a Tool to Fight Unemployment: Effectiveness and Hidden Costs," IZA Discussion Papers 13544, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Environmental Economics and Policy; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy;
    All these keywords.

    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:ags:aaea13:150567. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.