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Balancing demand-pull and supply-push measures to support renewable electricity in Europe

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  • Albrecht, Johan
  • Laleman, Ruben
  • Vulsteke, Elien

Abstract

Increasing the share of renewable energy is deemed essential to reduce the carbon intensity of the current electricity mix. The promotion of renewable energy technologies should thus be as effective and efficient as possible. Therefore, support schemes should explicitly consider the balance between demand-pull (e.g. production subsidies) and supply-push efforts (public RD&D investments). In this paper we estimate the deployment costs for renewable generation technologies between 2005 and 2030 in the EU-27. Then, we relate our findings to public RD&D expenditures (2005–2010) on these technologies. Based on several “lags” between RD&D spending and market impact, we obtained cumulative pull/push ratios between 100 and 190 for wind technologies and between 80 and 210 for PV. For solid biomass, pull/push ratios are lower, in a range of 60–120. The imbalance for biogas is much larger; the cumulative pull/push ratio for biogas is about 700 in the ‘5 year lag’ case and about 1200 in the other cases (10 yr. lag or more).

Suggested Citation

  • Albrecht, Johan & Laleman, Ruben & Vulsteke, Elien, 2015. "Balancing demand-pull and supply-push measures to support renewable electricity in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 267-277.
    • Handle: RePEc:eee:rensus:v:49:y:2015:i:c:p:267-277
    DOI: 10.1016/j.rser.2015.04.078
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    1. Abdmouleh, Zeineb & Alammari, Rashid A.M. & Gastli, Adel, 2015. "Review of policies encouraging renewable energy integration & best practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 249-262.
    2. Miketa, Asami & Schrattenholzer, Leo, 2004. "Experiments with a methodology to model the role of R&D expenditures in energy technology learning processes; first results," Energy Policy, Elsevier, vol. 32(15), pages 1679-1692, October.
    3. Pizer, William A. & Popp, David, 2008. "Endogenizing technological change: Matching empirical evidence to modeling needs," Energy Economics, Elsevier, vol. 30(6), pages 2754-2770, November.
    4. Gregory F. Nemet & Erin Baker, 2009. "Demand Subsidies Versus R&D: Comparing the Uncertain Impacts of Policy on a Pre-commercial Low-carbon Energy Technology," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 49-80.
    5. Frondel, Manuel & Ritter, Nolan & Schmidt, Christoph M., 2008. "Germany's solar cell promotion: Dark clouds on the horizon," Energy Policy, Elsevier, vol. 36(11), pages 4198-4204, November.
    6. Haas, Reinhard & Panzer, Christian & Resch, Gustav & Ragwitz, Mario & Reece, Gemma & Held, Anne, 2011. "A historical review of promotion strategies for electricity from renewable energy sources in EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1003-1034, February.
    7. Rout, Ullash K. & Blesl, Markus & Fahl, Ulrich & Remme, Uwe & Voß, Alfred, 2009. "Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model," Energy Policy, Elsevier, vol. 37(11), pages 4927-4942, November.
    8. Kwon, Tae-hyeong, 2015. "Rent and rent-seeking in renewable energy support policies: Feed-in tariff vs. renewable portfolio standard," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 676-681.
    9. Clarke, Leon & Weyant, John & Birky, Alicia, 2006. "On the sources of technological change: Assessing the evidence," Energy Economics, Elsevier, vol. 28(5-6), pages 579-595, November.
    10. Kahouli-Brahmi, Sondes, 2009. "Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach," Ecological Economics, Elsevier, vol. 68(4), pages 1195-1212, February.
    11. Jamasb, Tooraj & Nuttall, William J. & Pollitt, Michael, 2008. "The case for a new energy research, development and promotion policy for the UK," Energy Policy, Elsevier, vol. 36(12), pages 4610-4614, December.
    12. Reboredo, Juan C., 2015. "Renewable energy contribution to the energy supply: Is there convergence across countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 290-295.
    13. Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
    14. Richard G. Newell, 2010. "The role of markets and policies in delivering innovation for climate change mitigation," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(2), pages 253-269, Summer.
    15. Nemet, Gregory F., 2009. "Demand-pull, technology-push, and government-led incentives for non-incremental technical change," Research Policy, Elsevier, vol. 38(5), pages 700-709, June.
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