Quantifying U.S. aluminum in-use stocks and their relationship with economic output

作者: Colin A. McMillan , Michael R. Moore , Gregory A. Keoleian , Jonathan W. Bulkley

DOI: 10.1016/J.ECOLECON.2010.08.005

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摘要: Abstract A dynamic material flow analysis model is developed to quantify aluminum in-use stocks and old scrap recycling recovery in the United States for period of 1900 2007. The total stock 2007 estimated as 93 million metric tons, which represents approximately 34% cumulative apparent consumption since 1900. Alternately, nearly 40% discarded has not been recycled domestic use U.S. or export foreign consumers. Statistical time series used explore relationship between results gross product (GDP). Unlike most previous studies economic activity, ignore statistical properties data detriment estimation inference, stationarity explicitly evaluated through unit root testing specification adjusted accordingly. annual percentage change GDP found have a large significant association with net additions stocks. Model sensitivity uncertainty are quantified application Fourier Amplitude Sensitivity Test alternate specifications lifetime probability density functions.

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