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Productivity decline in Australian coal mining

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  • C. Lovell
  • J. Lovell

Abstract

A recent Australian Productivity Commission Staff Working Paper has estimated a 25 % decline in value added total factor productivity in Australian coal mining over the period 2000/2001–2006/2007. The decline coincides with a period of rapidly increasing global demand for, and price of, coal, which has made it economically feasible to mine coal that was previously uneconomic. This “digging deeper” hypothesis is plausible, although our initial surprise at the magnitude of the estimated decline has motivated our investigation of productivity in Australian coal mining, its financial implications and its likely causes. We begin by applying the Staff Working Paper methodology to revised data to estimate the magnitude of the decline. This exercise shrinks the estimated magnitude of the decline to 21 %. We continue by applying an alternate methodology to the revised data to re-estimate the magnitude of the decline. This exercise generates no further change to the estimated rate of decline. We then compare estimates of the decline obtained from value added and gross output frameworks, and we find a considerable shrinkage in the estimated productivity decline that highlights the importance of the Domar factor in productivity measurement. We continue by exploring the financial consequences of the productivity decline. We conclude by joining the search for sources of the productivity decline. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • C. Lovell & J. Lovell, 2013. "Productivity decline in Australian coal mining," Journal of Productivity Analysis, Springer, vol. 40(3), pages 443-455, December.
  • Handle: RePEc:kap:jproda:v:40:y:2013:i:3:p:443-455
    DOI: 10.1007/s11123-013-0340-4
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    References listed on IDEAS

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    1. John W. Kendrick, 1961. "Productivity Trends in the United States," NBER Books, National Bureau of Economic Research, Inc, number kend61-1, March.
    2. Vernon Topp & Leo Soames & Dean Parham & Harry Bloch, 2008. "Productivity in the Mining Industry: Measurement and Interpretation," Staff Working Papers 0807, Productivity Commission, Government of Australia.
    3. Olli-Pekka Hilmola, 2006. "As currency changes matter: improving the control of profitability and productivity in manufacturing companies," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 1(4), pages 321-338.
    4. Chang-Tai Hsieh, 2002. "What Explains the Industrial Revolution in East Asia? Evidence From the Factor Markets," American Economic Review, American Economic Association, vol. 92(3), pages 502-526, June.
    5. Harold Barger & Sam H. Schurr, 1944. "Employment in Mining," NBER Chapters, in: The Mining Industries, 1899–1939: A Study of Output, Employment, and Productivity, National Bureau of Economic Research, Inc.
    6. Bert M. Balk, 2010. "An Assumption‐Free Framework For Measuring Productivity Change," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 224-256, June.
    7. Simon Zheng & Harry Bloch, 2014. "Australia’s mining productivity decline: implications for MFP measurement," Journal of Productivity Analysis, Springer, vol. 41(2), pages 201-212, April.
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    Cited by:

    1. De Valck, Jeremy & Williams, Galina & Kuik, Swee, 2021. "Does coal mining benefit local communities in the long run? A sustainability perspective on regional Queensland, Australia," Resources Policy, Elsevier, vol. 71(C).
    2. Ahmad, Shabbir & Steen, John & Ali, Saleem & Valenta, Rick, 2023. "Carbon-adjusted efficiency and technology gaps in gold mining," Resources Policy, Elsevier, vol. 81(C).

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    More about this item

    Keywords

    Coal mining; Productivity; Price recovery; Profitability; D24; L71; C43;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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