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Substitution elasticities between capital, labour, material, electricity and fossil fuels in German producing and service sectors

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  • Koschel, Henrike

Abstract

In this paper, substitutional relationships between capital, labour, material, electricity, and fossil fuels in German producing and service sectors are estimated using a translog cost function. Estimates are based on a pooled time-series cross-sectional data sample for the period 1978-90 and nearly 50 sectors reported by the national account statistics. Results indicate that, except for the service sectors, own-price elasticities of all factor demands are below 0.5 (in absolute terms). In terms of the Morishima elasticity of substitution, labour and capital are substitutes in all sectors. Labour is generally a substitute for electricity, but not for fossil fuels. Results also support the hypothesis of capitalenergy substitutability and that the German economy is characterised by a nonhomothetic, non-constant-returns-to-scale production function. Substitution elasticities between input aggregates are estimated based on the nesting structure which underlies the computable general equilibrium model GEM-E3. Testing for weak homothetic separability restrictions, however, yields that input aggregation is allowed only in particular cases. Simulations with the GEM-E3 model demonstrate that the impacts of an ecological tax reform respond to a variation of substitution elasticities, but, all in all, the model proves to be relatively stable within a plausible range of values.

Suggested Citation

  • Koschel, Henrike, 2000. "Substitution elasticities between capital, labour, material, electricity and fossil fuels in German producing and service sectors," ZEW Discussion Papers 00-31, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:5314
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    3. Radoslaw Stefanski, 2014. "Structural Transformation and the Oil Price," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 484-504, July.
    4. Marek Antosiewicz & Piotr Lewandowski & Jan Witajewski-Baltvilks, 2016. "Input vs. Output Taxation—A DSGE Approach to Modelling Resource Decoupling," Sustainability, MDPI, Open Access Journal, vol. 8(4), pages 1-17, April.
    5. Radoslaw Stefanski, 2014. "Structural Transformation and the Oil Price," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 484-504, July.
    6. Jean Mercenier & Maria Teresa Alvarez Martinez & Andries Brandsma & Francesco Di Comite & Olga Diukanova & d'Artis Kancs & Patrizio Lecca & Montserrat Lopez-Cobo & Philippe Monfort & Damiaan Persyn & , 2016. "RHOMOLO-v2 Model Description: A spatial computable general equilibrium model for EU regions and sectors," JRC Research Reports JRC100011, Joint Research Centre.
    7. Meng, Sam & Siriwardana, Mahinda & McNeill, Judith & Nelson, Tim, 2018. "The impact of an ETS on the Australian energy sector: An integrated CGE and electricity modelling approach," Energy Economics, Elsevier, vol. 69(C), pages 213-224.
    8. Lucas Bretschger & Lin Zhang & Roger Ramer, 2012. "Economic effects of a nuclear-phase out policy: A CGE analysis," CER-ETH Economics working paper series 12/167, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.

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