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Energy Substitutability in Canadian Manufacturing: Econometric Estimation with Bootstrap Confidence Intervals

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  • Yazid DISSOU
  • Reza GHAZAL

Abstract

This study provides estimates of the price and Morishima substitution elasticities between energy and non-energy inputs in two Canadian energy-intensive manufacturing industries: Primary Metal and Cement. The elasticities are estimated using annual industry-level KLEM data (1961- 2003) and relying on two flexible functional forms: the Translog and the Symmetric Generalized McFadden (SGM) cost functions. In addition to the point estimates, the confidence intervals of the elasticities are computed using single- and double-bootstrap resampling techniques. For both industries, the estimation results suggest that capital, labour, material and energy are pairwise substitutes and that energy is the most substitutable input. However, the low magnitudes of the estimated elasticities do not seem to offer great flexibility to these industries to adapt to high increases in energy prices.
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  • Yazid DISSOU & Reza GHAZAL, 2009. "Energy Substitutability in Canadian Manufacturing: Econometric Estimation with Bootstrap Confidence Intervals," EcoMod2009 21500025, EcoMod.
    • Handle: RePEc:ekd:000215:21500025
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    2. Zachlod-Jelec, Magdalena & Boratynski, Jakub, 2016. "How large and uncertain are costs of 2030 GHG emissions reduction target for the European countries? Sensitivity analysis in a global CGE model," MF Working Papers 26, Ministry of Finance in Poland.
    3. Siddiqui, Muhammad Shahid, 2015. "Environmental taxes and international spillovers: The case of a small open economy," Energy Economics, Elsevier, vol. 48(C), pages 70-80.
    4. Bin Xu & Lin Boqiang, 2023. "Investigating the Determinants of the Growth of the New Energy Industry: Using Quantile Regression Approach," The Energy Journal, , vol. 44(2), pages 241-258, March.
    5. Hussain, Jakir & Bernard, Jean-Thomas, 2017. "Regional productivity convergence: An analysis of the pulp and paper industries in U.S., Canada, Finland, and Sweden," Journal of Forest Economics, Elsevier, vol. 28(C), pages 49-62.
    6. Thompson, Alexi, 2013. "An almost ideal supply system estimate of US energy substitution," Energy Economics, Elsevier, vol. 40(C), pages 813-818.
    7. Hritonenko, Natali & Yatsenko, Yuri, 2012. "Energy substitutability and modernization of energy-consuming technologies," Energy Economics, Elsevier, vol. 34(5), pages 1548-1556.
    8. Jakir Hussain & Jean-Thomas Bernard, 2016. "Flexible Functional Forms and Curvature Conditions: Parametric Productivity Estimation in Canadian and U.S. Manufacturing Industries," Working Papers 1612e, University of Ottawa, Department of Economics.

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    More about this item

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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