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A Sequential Malmquist-Luenberger Productivity Index

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  • Oh, Donhyun

    ()
    (CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology)

  • Heshmati, Almas

    ()
    (Technology Management, Economics and Policy Program, Seoul National 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 Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies in its series Working Paper Series in Economics and Institutions of Innovation with number 181.

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Length: 36 pages
Date of creation: 04 Jun 2009
Date of revision:
Handle: RePEc:hhs:cesisp:0181

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Postal: CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology, SE-100 44 Stockholm, Sweden
Phone: +46 8 790 95 63
Web page: http://www.infra.kth.se/cesis/
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Keywords: efficiency change; environmentally sensitive; productivity growth index; directional distance function; Malmquist-Luenberger; productivity index; productivity; sequential production; possibility set; technical change;

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  1. 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.
  2. 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.
  3. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
  4. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
  5. Tulkens, Henry & Vanden Eeckaut, Philippe, 1995. "Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects," European Journal of Operational Research, Elsevier, vol. 80(3), pages 474-499, February.
  6. 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.
  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. 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.
  9. 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.
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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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