Copper recycling and scrap availability
Section snippets
Modeling secondary copper production
A common specification for modeling secondary copper production—used for example by Fischer et al. (1972), Vial, 1988, Vial, 2004, and Valencia (2005)—assumes that secondary copper production (QSt) depends on the real price of refined copper (Pt), the available old scrap (At), the lagged value of the secondary copper production (QSt−1), and a disturbance term (εt) as shown in Eq. (1)
The price of refined copper (Pt) is included for the usual reasons. Since the supply of
Data
The 40 years of data covering the period 1966–2005 used to estimate Eq. (4) are shown in Table 1. The price of refined copper was converted into real (2005) dollars using the US Producer Price Index (IMF, 2006).
Like Valencia (2005), we have estimated annual old scrap flows using the method of Slade (1980). She estimates the percentage of total copper consumption used by the construction, transport, consumer durables, electrical and electronic, and industrial machinery sectors and the average
Results
The coefficients of Eq. (4) estimated using Ordinary Least Squares are shown in Table 4 under the first column headed OLS. As expected, the estimates for β1, β2, and β3 are all positive. The first and third coefficients are statistically greater than zero (using a one-tailed test) at the 5% probability level, and the second at the 8% level. In addition, as expected, all three estimates are less than 1. The estimate for β1 suggests that a 1% increase in price promotes a 0.107% increase in
Conclusions and implications
The secondary industry accounts for only a small share (less than 20%) of total copper production. In addition, the industry contains many small and secretive firms, making comprehensive and reliable data difficult to obtain. For these and other reasons, economists and others have devoted relatively little time to studying secondary producers. While this is now changing due in part to the growing concerns about the environment and sustainability, there is still much that we do not understand
Acknowledgments
The authors are grateful to Roderick G. Eggert and Claudio Valencia for their helpful comments.
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