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The effects of resource depletion on coal mining productivity

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  • Rodriguez, Xose Anton
  • Arias, Carlos

Abstract

The Solow Residual has a direct interpretation as a measure of technical change under perfect competition and constant returns to scale. When these conditions do not hold, the residual has to be appropriately adjusted in order to be considered correct measure of technical change. We argue that in extractive industries the Solow Residual is also affected by the continuous depletion of a non-renewable resource. Therefore, we provide a new decomposition of the Solow Residual for extractive industries in which the level of reserves is likely to affect extraction costs. Our empirical results illustrate the role played by the depletion of reserves in the measurement of productivity of coal mining in Spain.
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  • Rodriguez, Xose Anton & Arias, Carlos, 2008. "The effects of resource depletion on coal mining productivity," Energy Economics, Elsevier, vol. 30(2), pages 397-408, March.
    • Handle: RePEc:eee:eneeco:v:30:y:2008:i:2:p:397-408
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    1. Harris, DeVerle P., 1993. "Mineral resource stocks and information," Handbook of Natural Resource and Energy Economics, in: A. V. Kneese† & J. L. Sweeney (ed.), Handbook of Natural Resource and Energy Economics, edition 1, volume 3, chapter 21, pages 1011-1076, Elsevier.
    2. Atanu Saha & C. Richard Shumway & Hovav Talpaz, 1994. "Joint Estimation of Risk Preference Structure and Technology Using Expo-Power Utility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(2), pages 173-184.
    3. Luis Orea & David Roibás & Alan Wall, 2004. "Choosing the Technical Efficiency Orientation to Analyze Firms' Technology: A Model Selection Test Approach," Journal of Productivity Analysis, Springer, vol. 22(1), pages 51-71, July.
    4. James Hartley, 2000. "Does the Solow Residual Actually Measure Changes in Technology?," Review of Political Economy, Taylor & Francis Journals, vol. 12(1), pages 27-44.
    5. McFadden, Daniel, 1978. "Cost, Revenue, and Profit Functions," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 1, chapter 1, McMaster University Archive for the History of Economic Thought.
    6. Bhavani Shankar & Carl H. Nelson, 1999. "Joint Risk Preference-Technology Estimation with a Primal System: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 241-244.
    7. BARTEN, Anton P., 1969. "Maximum likelihood estimation of a complete system of demand equations," LIDAM Reprints CORE 34, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
    9. Basu, Susanto & Fernald, John G., 2002. "Aggregate productivity and aggregate technology," European Economic Review, Elsevier, vol. 46(6), pages 963-991, June.
    10. Epple, Dennis & Londregan, John, 1993. "Strategies for modeling exhaustible resource," Handbook of Natural Resource and Energy Economics, in: A. V. Kneese† & J. L. Sweeney (ed.), Handbook of Natural Resource and Energy Economics, edition 1, volume 3, chapter 22, pages 1077-1107, Elsevier.
    11. Thijs ten Raa & Pierre Mohnen, 2009. "Neoclassical Growth Accounting and Frontier Analysis: A Synthesis," World Scientific Book Chapters, in: Input–Output Economics: Theory And Applications Featuring Asian Economies, chapter 19, pages 347-370, World Scientific Publishing Co. Pte. Ltd..
    12. S Reinhard & G Thijssen, 2000. "Nitrogen efficiency of Dutch dairy farms: a shadow cost system approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(2), pages 167-186, June.
    13. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    14. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
    15. John R. Livernois, 1988. "Estimates of Marginal Discovery Costs for Oil and Gas," Canadian Journal of Economics, Canadian Economics Association, vol. 21(2), pages 379-393, May.
    16. ?gel de la Fuente, "undated". "On The Determinants Of Cost Performance And The Decomposition Of Returns To Scale Measures In The Presence Of Quasi-Fixed Inputs. A Comment On Morrison And Schwartz (1996) And Related Work," UFAE and IAE Working Papers 445.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    17. Berndt, Ernst R. & Hesse, Dieter M., 1986. "Measuring and assessing capacity utilization in the manufacturing sectors of nine oecd countries," European Economic Review, Elsevier, vol. 30(5), pages 961-989, October.
    18. Blair, Roger D. & Lusky, Rafael, 1975. "A note on the influence of uncertainty on estimation of production function models," Journal of Econometrics, Elsevier, vol. 3(4), pages 391-394, November.
    19. Subal C. Kumbhakar, 2002. "Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 8-22.
    20. Lau, Lawrence J., 1976. "A characterization of the normalized restricted profit function," Journal of Economic Theory, Elsevier, vol. 12(1), pages 131-163, February.
    21. Luis Orea, 2002. "Parametric Decomposition of a Generalized Malmquist Productivity Index," Journal of Productivity Analysis, Springer, vol. 18(1), pages 5-22, July.
    22. Bert Balk, 2003. "The Residual: On Monitoring and Benchmarking Firms, Industries, and Economies with Respect to Productivity," Journal of Productivity Analysis, Springer, vol. 20(1), pages 5-47, July.
    23. Chambers, Robert G, 1983. "Scale and Productivity Measurement under Risk," American Economic Review, American Economic Association, vol. 73(4), pages 802-805, September.
    24. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235, September.
    25. Rafael Cuesta, 2000. "A Production Model With Firm-Specific Temporal Variation in Technical Inefficiency: With Application to Spanish Dairy Farms," Journal of Productivity Analysis, Springer, vol. 13(2), pages 139-158, March.
    26. John T. Cuddington & Diana L. Moss, 2001. "Technological Change, Depletion, and the U.S. Petroleum Industry," American Economic Review, American Economic Association, vol. 91(4), pages 1135-1148, September.
    27. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-465, May.
    28. Charles R. Hulten & Edwin R. Dean & Michael J. Harper, 2001. "New Developments in Productivity Analysis," NBER Books, National Bureau of Economic Research, Inc, number hult01-1.
    29. Jose Emilio Bosca & Javier Escriba & Maria Jose Murgui, 2004. "Total Factor Productivity Growth in Spanish Regions: Effects of Quasi-fixed and External Factors and Varying Capacity Utilization," Regional Studies, Taylor & Francis Journals, vol. 38(6), pages 587-601.
    30. Pickering, Andrew, 2008. "The oil reserves production relationship," Energy Economics, Elsevier, vol. 30(2), pages 352-370, March.
    31. Morrison, Catherine J & Schwartz, Amy Ellen, 1996. "State Infrastructure and Productive Performance," American Economic Review, American Economic Association, vol. 86(5), pages 1095-1111, December.
    32. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    33. H. Alan Love & Steven T. Buccola, 1991. "Joint Risk Preference-Technology Estimation with a Primal System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 765-774.
    34. Kulshreshtha, Mudit & Parikh, Jyoti K., 2002. "Study of efficiency and productivity growth in opencast and underground coal mining in India: a DEA analysis," Energy Economics, Elsevier, vol. 24(5), pages 439-453, September.
    35. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.
    36. OW Maietta, 2000. "The decomposition of cost inefficiency into technical and allocative components with panel data of Italian dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(4), pages 473-495, December.
    37. Morrison, Catherine J, 1992. "Unraveling the Productivity Growth Slowdown in the United States, Canada and Japan: The Effects of Subequilibrium, Scale Economies and Markups," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 381-393, August.
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    3. Rodríguez, Xosé A. & Arias, Carlos & Rodríguez-González, Ana, 2015. "Physical versus economic depletion of a nonrenewable natural resource," Resources Policy, Elsevier, vol. 46(P2), pages 161-166.
    4. John E. Tilton, 2013. "Cyclical and Secular Determinants of Productivity in the Copper, Aluminum, Iron Ore, and Coal Industries," Working Papers 2013-11, Colorado School of Mines, Division of Economics and Business.
    5. Tsakiridis, Andreas & Hanrahan, Kevin & Breen, James & Wallace, Michael & O’Donoghuea, Cathal, 2016. "Feed substitution and economies of scale in Irish beef production systems," 149th Seminar, October 27-28, 2016, Rennes, France 244769, European Association of Agricultural Economists.
    6. Ediger, Volkan Ş. & Berk, Istemi & Ersoy, Mücella, 2015. "An assessment of mining efficiency in Turkish lignite industry," Resources Policy, Elsevier, vol. 45(C), pages 44-51.
    7. Villena, Marcelo & Greve, Fernando, 2018. "On resource depletion and productivity: The case of the Chilean copper industry," Resources Policy, Elsevier, vol. 59(C), pages 553-562.
    8. Sam Mitra, 2019. "Depletion, technology, and productivity growth in the metallic minerals industry," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 32(1), pages 19-37, April.
    9. Rodríguez, Xosé A. & Loureiro, Maria L. & Arias, Carlos, 2021. "Measuring productivity in the extractive industries. Evidence from Spanish fluorite mining," Resources Policy, Elsevier, vol. 73(C).
    10. 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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