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The Role of Environmental Factors in Growth Accounting: A Nonparametric Analysis

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  • Jeon, Byung M.

    (Rice U)

  • Sickles, Robin

Abstract

This paper explores a relatively new methodology, the directional distance function method, to analyze productivity growth. The method explicitly evaluates the role undesirable outputs of the economy, such as carbon dioxide and other green-house gases, have on the frontier production process which we specify as a piece-wise linear and convex boundary function. We decompose productivity growth into efficiency change (catching up) and technology change (innovation). We test the statistical significance of the estimates using recently developed bootstrap methods. We also explore implications for growth of total factor productivity in the OECD and Asian economies.

Suggested Citation

  • Jeon, Byung M. & Sickles, Robin, 2001. "The Role of Environmental Factors in Growth Accounting: A Nonparametric Analysis," Working Papers 2001-08, Rice University, Department of Economics.
    • Handle: RePEc:ecl:riceco:2001-08
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    File URL: http://www.ruf.rice.edu/~econ/papers/2001papers/08Jeon.pdf
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    References listed on IDEAS

    as
    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
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    Cited by:

    1. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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