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A Sequential Malmquist-Luenberger Productivity Index

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  • Oh, Donghyun

    ()
    (Royal Institute of Technology, Stockholm)

  • Heshmati, Almas

    ()
    (Jönköping University, Sogang University)

Abstract

This study proposes an alternative methodology for measuring environmentally sensitive productivity growth. The rationale of this methodology is to consider the features of technology appropriately by excluding a spurious technical regress based on the macroeconomic perspective. In order to consider this condition and to develop an alternative index, a directional distance function and the concept of the successive sequential production possibility set are combined. With this combination, the conventional Malmquist-Luenberger productivity index is modified to give the alternative sequential environmentally sensitive productivity index. This proposed index is employed in measuring productivity growth and its decomposed components of OECD countries for the period 1970-2003. We distinguish two main empirical findings. First, even though the components of the conventional Malmquist-Luenberger productivity index and the proposed index are different, the developments of productivity are similar. Second, unlike in previous studies, the efficiency change is the main contributor to the earlier study period, whereas the effect of technical change has prevailed over time.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 4199.

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Length: 27 pages
Date of creation: May 2009
Date of revision:
Publication status: published as 'A sequential Malmquist–Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology ' in: Energy Economics, 2011, 32 (6), 1345 - 1355
Handle: RePEc:iza:izadps:dp4199

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Keywords: sequential production possibility set; Malmquist-Luenberger productivity index; productivity; environmentally sensitive productivity growth index; directional distance function; efficiency change; technical change;

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References

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  1. TULKENS, Henry & VANDEN EECKAUT, Philippe, 1993. "Non-Parametric Efficiency, Progress and Regress Measures for Panel Data : Methodological Aspects," CORE Discussion Papers 1993016, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
  3. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
  4. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
  5. Fare, Rolf & Grosskopf, Shawna & Weber, William L., 2006. "Shadow prices and pollution costs in U.S. agriculture," Ecological Economics, Elsevier, vol. 56(1), pages 89-103, January.
  6. William L. Weber & Bruce Domazlicky, 2001. "Productivity Growth and Pollution in State Manufacturing," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 195-199, February.
  7. Pasurka, Carl Jr., 2006. "Decomposing electric power plant emissions within a joint production framework," Energy Economics, Elsevier, vol. 28(1), pages 26-43, January.
  8. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
  9. Ramanathan, Ramakrishnan, 2005. "An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa," Energy, Elsevier, vol. 30(15), pages 2831-2842.
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Cited by:
  1. Kabata, Tshepelayi, 2011. "The US Agriculture Greenhouse Emissions and Environmental Performance," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103427, Agricultural and Applied Economics Association.

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