Arbeitspapier

Emissions from Military Training: Evidence from Australia

Environmental research related to military activities and warfare is sparse and fragmented by discipline. Although achieving military objectives will likely continue to trump any concerns related to the environment during active conflict, military training during peacetime has environmental consequences. This research aims to quantify how much pollution is emitted during regular military exercises which has implications for climate change. Focusing on major military training exercises conducted in Australia, we assess the impact of four international exercises held within a dedicated military training area on pollution levels. Leveraging high-frequency data, we employ a machine learning algorithm in conjunction with program evaluation techniques to estimate the effects of military training activities. Our main approach involves generating counterfactual predictions and utilizing a "prediction-error" framework to estimate treatment effects by comparing a treatment area to a control area. Our findings reveal that these exercises led to a notable increase in air pollution levels, potentially reaching up to 25% relative to mean levels during peak training hours.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 16889

Klassifikation
Wirtschaft
Large Data Sets: Modeling and Analysis
Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
Climate; Natural Disasters and Their Management; Global Warming
Thema
machine learning
military emissions
military training
pollution

Ereignis
Geistige Schöpfung
(wer)
Lee, Wang-Sheng
Tran, Trang My
Ereignis
Veröffentlichung
(wer)
Institute of Labor Economics (IZA)
(wo)
Bonn
(wann)
2024

Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Lee, Wang-Sheng
  • Tran, Trang My
  • Institute of Labor Economics (IZA)

Entstanden

  • 2024

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