Mineral endowment, labor productivity, and comparative advantage in mining

Aydın, Hamit; Tilton, John E.

doi:10.1016/s0928-7655(00)00026-9

Cited by 32 publications

(20 citation statements)

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“…Metal mining industry statistics can be found on Dale Jorgenson's Web site, in the KLEM data set (http://post.economics.harvard.edu/faculty/jorgenson/ data/35klem.html). Discussion of the U.S. copper industry can be found in Aydin and Tilton (2000), which shows that the doubling of U.S. copper labor productivity in the 1980s had little to do with closing inefficient mines. 21 According to my estimate, the U.S. industry experienced a smaller increase in materials productivity than the Canadian industry did, in part because of what are likely conservative assumptions I made in estimating the U.S. increase (see App.…”

Section: Increased Competition Met By Huge Productivity Gainsmentioning

confidence: 99%

What Determines Productivity? Lessons from the Dramatic Recovery of the U.S. and Canadian Iron Ore Industries Following Their Early 1980s Crisis

Schmitz

2005

Journal of Political Economy

220

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Section: Increased Competition Met By Huge Productivity Gainsmentioning

confidence: 99%

What Determines Productivity? Lessons from the Dramatic Recovery of the U.S. and Canadian Iron Ore Industries Following Their Early 1980s Crisis

Schmitz

2005

Journal of Political Economy

220

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“…5 Introducing trade costs can emphasize the spatial dimension of the model. The METRO model can also be extended by introducing technical progress, which is not negligible in the long run (Aydin and Tilton, 2000;Garcia et al, 2001). Not least, the model can be calibrated to a large number of other metals.…”

Section: Discussionmentioning

confidence: 99%

The Metal Resources (METRO) Model. A Dynamic Partial Equilibrium Model for Metal Markets Applied to Rare Earth Elements

Pothen

2013

SSRN Journal

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Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW. Extensive sensitivity analyses indicate their robustness. Acknowledgements I am deeply indebted to

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“…For example, Holtfrerich, Wirtschaftsgeschichte , pp. 155–71; Gillingham, Industry and politics , p. 5; Landes, Wealth , p. 450; Parnell, Organized capitalism , p. 29; Poth, Stellung , pp. 32–46.…”

mentioning

confidence: 99%

“…For example, Aydin and Tilton, ‘Mineral endowment’; Ellerman, Stoker, and Berndt, ‘Sources’; Garcia, Knights, and Tilton, ‘Labor productivity’; Tilton, ‘Mineral endowment’, pp. 240–2.…”

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Did closures do any good? Labour productivity, mine dynamics, and rationalization in interwar Ruhr coal mining

Jopp

2016

The Economic History Review

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Throughout the late 1920s, German coal mining saw an exceptional surge in labour productivity, led by the performance of the Ruhr coal mines. It is commonly accepted in the relevant literature that the economy-wide 'rationalization boom' explains that pattern. This study tests the related hypothesis that 'negative rationalization', in the form of a massive wave of mine closures over the period 1924-9, played a significant role in stimulating aggregate labour productivity in the Ruhr coal district. Using an original dataset for the totality of Ruhr coal mines, the causes of productivity change over the broader period 1913-38 are identified, using the decomposition method of Foster, Haltiwanger, and Krizan. Results suggest that labour productivity was driven largely by improvements at individual mines, attributable to the intensified mechanization of underground operations. In sharp contrast, turnover effects were marginal, overall, compared to the effects stemming from the producer dynamics among surviving mines. Thus, the practical productivity implications of mine closures during the rationalization boom are negligible and overrated in the literature. These findings indicate the necessity of testing the relative importance of 'negative rationalization' in the form of plant closures in other branches of the Weimar economy. * Author's Affiliation: University of Regensburg. † I would like to thank Mark Spoerer, two anonymous referees, and the editor for invaluable suggestions for improvement of the original manuscript. 1

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Mineral endowment, labor productivity, and comparative advantage in mining

Cited by 32 publications

References 5 publications

What Determines Productivity? Lessons from the Dramatic Recovery of the U.S. and Canadian Iron Ore Industries Following Their Early 1980s Crisis

What Determines Productivity? Lessons from the Dramatic Recovery of the U.S. and Canadian Iron Ore Industries Following Their Early 1980s Crisis

The Metal Resources (METRO) Model. A Dynamic Partial Equilibrium Model for Metal Markets Applied to Rare Earth Elements

Did closures do any good? Labour productivity, mine dynamics, and rationalization in interwar Ruhr coal mining

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