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Total Factor Productivity Growth, Technical Efficiency Change and Energy Input. An International Frontier Analysis

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  • Luis R Murillo-Zamorano
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    Abstract

    The main objective of this paper is to clarify the controversial role of energy in productivity growth. This is done by reconciling conventional approaches to the measurement of aggregated productivity growth with the microeconomic foundations provided by the energy economics and frontier productivity measurement literature. The use of Malmquist productivity indices allows us to broaden previous research by decomposing productivity growth into technological progress and technical efficiency change as well as analysing the relationship between energy and both sources of productivity change. By doing so, our findings are that energy indeed matters and that the consideration of technical efficiency contributes to a better understanding of both the temporal evolution and cross-country variability of aggregated productivity growth.

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    Paper provided by Department of Economics, University of York in its series Discussion Papers with number 03/09.

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    Handle: RePEc:yor:yorken:03/09

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    Keywords: Energy input; Total factor productivity growth; Technical efficiency change; Malmquist productivity growth indices.;

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Diewert, Erwin, 2007. "Index Numbers," Economics working papers diewert-07-01-03-08-17-23, Vancouver School of Economics, revised 31 Jan 2007.
    3. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    4. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    5. Baumol, William J, 1986. "Productivity Growth, Convergence, and Welfare: What the Long-run Data Show," American Economic Review, American Economic Association, vol. 76(5), pages 1072-85, December.
    6. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    7. Balk, Bert M, 1993. "Malmquist Productivity Indexes and Fisher Ideal Indexes: Comment," Economic Journal, Royal Economic Society, vol. 103(418), pages 680-82, May.
    8. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-38, December.
    9. Bernard, Andrew B & Jones, Charles I, 1996. "Technology and Convergence," Economic Journal, Royal Economic Society, vol. 106(437), pages 1037-44, July.
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