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Dynamic Analysis of Structural Change and Productivity Measurement

Author

Listed:
  • Førsund, Finn R.

    (Dept. of Economics, University of Oslo)

  • Hjalmarsson, Lennart

    (Department of Economics, University of Gothenburg)

Abstract

A dynamic analysis of structural change is reviewed based on a vintage model of substitutability between inputs including capital before investment, but no substitution possibilities after investment, and ex post production possibilities characterised by fixed input coefficients. Key elements in understanding structural change are the entering of capacity embodying new technology and exiting of capacity no longer able to yield positive quasi-rent. Three production function concepts are identified: the ex ante micro unit production function as relevant when investing in new capacity, the ex post micro production function, and the short-run industry production function giving the production possibilities at the industry level. Productivity measurement, taking these types of production functions into consideration, leads to different interpretations of productivity change than traditional approaches not being clear about which production function concept is used.

Suggested Citation

  • Førsund, Finn R. & Hjalmarsson, Lennart, 2008. "Dynamic Analysis of Structural Change and Productivity Measurement," Memorandum 27/2008, Oslo University, Department of Economics.
    • Handle: RePEc:hhs:osloec:2008_027
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    File URL: https://www.sv.uio.no/econ/english/research/unpublished-works/working-papers/pdf-files/2008/Memo-27-2008.pdf
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    References listed on IDEAS

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    1. Forsund, Finn R & Hjalmarsson, Lennart, 1979. "Generalised Farrell Measures of Efficiency: An Application to Milk Processing in Swedish Dairy Plants," Economic Journal, Royal Economic Society, vol. 89(354), pages 294-315, June.
    2. Torstein Bye & Erling Erling Holmoy, 2010. "Removing Policy-based Comparative Advantage for Energy Intensive Production: Necessary Adjustments of the Real Exchange Rate and Industry Structure," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 177-198.
    3. Dale W. Jorgenson, 1966. "The Embodiment Hypothesis," Journal of Political Economy, University of Chicago Press, vol. 74, pages 1-1.
    4. Eide, E, 1976. "Do New Factories Embody Potential Best Practice Technology?," Empirical Economics, Springer, vol. 1(2), pages 119-127.
    5. Diewert, W. Erwin & Fox, Kevin J., 2008. "On the estimation of returns to scale, technical progress and monopolistic markups," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 174-193, July.
    6. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    7. Forsund, Finn R & Jansen, Eilev S, 1983. " Technical Progress and Structural Change in the Norwegian Primary Aluminum Industry," Scandinavian Journal of Economics, Wiley Blackwell, vol. 85(2), pages 113-126.
    8. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    9. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (I): The Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 1, number fuss1978.
    10. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (II): Applications of the Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 2, number fuss1978a.
    11. Berg, Sigbjorn Atle & Forsund, Finn R & Jansen, Eilev S, 1992. " Malmquist Indices of Productivity Growth during the Deregulation of Norwegian Banking, 1980-89," Scandinavian Journal of Economics, Wiley Blackwell, vol. 94(0), pages 211-228, Supplemen.
    12. Forsund, Finn R & Hjalmarsson, Lennart & Summa, Timo, 1996. " The Interplay between Micro-Frontier and Sectoral Short-Run Production Functions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(3), pages 365-386.
    13. Fuss, Melvyn, 1978. "Factor Substitution in Electricity Generation: A Test of the Putty-Clay Hypothesis," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 2, chapter 7, McMaster University Archive for the History of Economic Thought.
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    Cited by:

    1. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    2. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.

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    More about this item

    Keywords

    Structural change; productivity measurement; putty-clay; ex ante production function; short-run industry production function;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L61 - Industrial Organization - - Industry Studies: Manufacturing - - - Metals and Metal Products; Cement; Glass; Ceramics

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