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Increase in domestic electricity consumption from particulate air pollution

Author

Listed:
  • Pan He

    (Tsinghua University
    Cardiff University)

  • Jing Liang

    (University of Maryland)

  • Yueming (Lucy) Qiu

    (University of Maryland)

  • Qingran Li

    (Duke University)

  • Bo Xing

    (Salt River Project)

Abstract

Accurate assessment of environmental externalities of particulate air pollution is crucial to the design and evaluation of environmental policies. Current evaluations mainly focus on direct damages resulting from exposure, missing indirect co-damages that occur through interactions among the externalities, human behaviours and technologies. Our study provides an empirical assessment of such co-damages using customer-level daily and hourly electricity data of a large sample of residential and commercial consumers in Arizona, United States. We use an instrumental variable panel regression approach and find that particulate matter air pollution increases electricity consumption in residential buildings as well as in retail and recreation service industries. Air pollution also reduces the actual electricity generated by distributed-solar panels. Lower-income and minority ethnic groups are disproportionally impacted by air pollution and pay higher electricity bills associated with pollution avoidance, stressing the importance of incorporating the consideration of environmental justice in energy policy-making.

Suggested Citation

  • Pan He & Jing Liang & Yueming (Lucy) Qiu & Qingran Li & Bo Xing, 2020. "Increase in domestic electricity consumption from particulate air pollution," Nature Energy, Nature, vol. 5(12), pages 985-995, December.
    • Handle: RePEc:nat:natene:v:5:y:2020:i:12:d:10.1038_s41560-020-00699-0
    DOI: 10.1038/s41560-020-00699-0
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    Cited by:

    1. M. Tamilselvan & Srinivasan Palamalai & Magesh Kumar & Bipasha Maity & Nidhi Agrawal, 2022. "Electricity Demand and CO Emissions during the COVID-19 Pandemic: The Case of India," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 161-169, May.
    2. Guo, Zhifeng & O'Hanley, Jesse R. & Gibson, Stuart, 2022. "Predicting residential electricity consumption patterns based on smart meter and household data: A case study from the Republic of Ireland," Utilities Policy, Elsevier, vol. 79(C).
    3. Liang, Jing & Qiu, Jiehong & Wang, Xiangrui & Wu, Jikai & Yang, Sansi & Zhou, You, 2024. "Examining energy inequality: The impact of household wealth on heterogeneous response to temperatures," Energy Policy, Elsevier, vol. 190(C).
    4. Balcilar, Mehmet & Usman, Ojonugwa & Ike, George N., 2023. "Operational behaviours of multinational corporations, renewable energy transition, and environmental sustainability in Africa: Does the level of natural resource rents matter?," Resources Policy, Elsevier, vol. 81(C).
    5. Xingchi Shen & Yueming Lucy Qiu & Pengfei Liu & Anand Patwardhan, 2022. "The Effect of Rebate and Loan Incentives on Residential Heat Pump Adoption: Evidence from North Carolina," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(3), pages 741-789, July.
    6. Xialing Sun & Rui Zhang & Geyi Wang, 2022. "Spatial-Temporal Evolution of Health Impact and Economic Loss upon Exposure to PM 2.5 in China," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    7. Choi, Jongwoo & Lee, Il-Woo & Cha, Suk-Won, 2022. "Analysis of data errors in the solar photovoltaic monitoring system database: An overview of nationwide power plants in Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    8. Seung Min Kim & Kenneth Gillingham, 2024. "Air Pollution and Solar Energy: Evidence from Wildfires," CESifo Working Paper Series 10948, CESifo.
    9. Song, Zhe & Liu, Jia & Yang, Hongxing, 2021. "Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review," Applied Energy, Elsevier, vol. 298(C).
    10. Minseok Jang & Hyun Cheol Jeong & Taegon Kim & Dong Hee Suh & Sung-Kwan Joo, 2021. "Empirical Analysis of the Impact of COVID-19 Social Distancing on Residential Electricity Consumption Based on Demographic Characteristics and Load Shape," Energies, MDPI, vol. 14(22), pages 1-15, November.

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