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The Measurement of Capital and the Measurement of Productivity Growth and Efficiency in State Manufacturing

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  • Bruce R. Domazlicky

    (Department of Economics and Finance, Southeast Missouri State University, Cape Girardeau bdomazlicky@semo.edu)

  • William L. Weber

    (Department of Economics and Finance, Southeast Missouri State University, Cape Girardeau c645sse@semo.edu)

Abstract

No single way of measuring the capital stock has been agreed upon by regional researchers. The authors examine five methods that have been proposed for measuring the capital stock in state manufacturing. They discuss the properties of each of the five capital stock allocation methods and then estimate state efficiency levels and productivity growth rates during the period 1982 to 1996 for each of the five methods. Their findings indicate that efficiency levels are significantly different for states depending on which method of capital measurement is used. However, productivity growth rates do not appear to be as sensitive to capital measurement, averaging 2.5 to 3 percent annual rates for the period.

Suggested Citation

  • Bruce R. Domazlicky & William L. Weber, 2006. "The Measurement of Capital and the Measurement of Productivity Growth and Efficiency in State Manufacturing," International Regional Science Review, , vol. 29(2), pages 115-134, April.
    • Handle: RePEc:sae:inrsre:v:29:y:2006:i:2:p:115-134
    DOI: 10.1177/0160017606286273
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    References listed on IDEAS

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    1. Mullen, John K. & Williams, Martin, 1990. "Explaining total factor productivity differentials in urban manufacturing," Journal of Urban Economics, Elsevier, vol. 28(1), pages 103-123, July.
    2. Aberg, Yngve, 1973. "I. regional productivity differences in Swedish manufacturing," Regional and Urban Economics, Elsevier, vol. 3(2), pages 131-155, May.
    3. Domazlicky, Bruce R. & Weber, William, L., 1998. "Determinants of Total Factor Productivity, Technological Change, and Efficiency Differentials Among States, 1977-86," The Review of Regional Studies, Southern Regional Science Association, vol. 28(2), pages 19-34, Fall.
    4. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    5. Alicia H. Munnell, 1990. "How does public infrastructure affect regional economic performance?," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 34, pages 69-112.
    6. Gasper A. Garofalo & Steven Yamarik, 2002. "Regional Convergence: Evidence From A New State-By-State Capital Stock Series," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 316-323, May.
    7. Holtz-Eakin, Douglas, 1994. "Public-Sector Capital and the Productivity Puzzle," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 12-21, February.
    8. 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.
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