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An agent-based stock-flow consistent model of the sustainable transition in the energy sector

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  • Ponta, Linda
  • Raberto, Marco
  • Teglio, Andrea
  • Cincotti, Silvano

Abstract

Major structural changes to the current fossil-fuel based economic system are needed in order to address the climate change challenge. To this purpose, effective Renewable Energy Sources (RES) support policies, along with concrete efforts towards the improvement of energy efficiency, have been adopted in many countries. One of these policies is the feed-in-tariff (FiT) mechanism, according to which electricity produced by RES is sold at guaranteed prices (feed-in tariffs), which are higher than market ones, for fixed periods of time. In this paper, we investigate how to foster a sustainability transition of the energy system towards an economically and ecologically sustainable growth path by using an enriched version of the Eurace model. Eurace has been enriched by including an energy sector where electricity is demanded by domestic producers and is supplied by a fossil-fuel based power producer as well as a renewable-energy based one. Both power producers undertake pricing and capacity investment decisions based on the price of imported fossil fuel and feed-in tariff government policy. In particular, we investigate how the economy is affected by the fiscal costs of financing the feed-in tariff mechanism and by the benefits of lower fossil fuels imports, in order to devise the policy with the best cost-benefit trade-off for the macroeconomy as a whole. Results show that the feed-in-tariff policy is effective in fostering the sustainability transition of the energy sector and that it increases the level of investments in the economy with a slightly positive impact on the unemployment rates. Moreover, we observe that its financing costs do not impact government finances in a relevant way. On the other hand, the higher level of investments occurs at the expense of the production of consumption goods, therefore with a negative impact for the living standards, at least according to the perspective of a consumerist society. However, if factors like better employment rates and the reduced GHG emissions are also taken into account, along with consumption, by an appropriate preference function, the final outcome on well-being should be probably deemed as favourable.

Suggested Citation

  • Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:73183
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    References listed on IDEAS

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    1. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    2. Sarah Wolf & Franziska Schütze & Carlo C. Jaeger, 2016. "Balance or Synergies between Environment and Economy—A Note on Model Structures," Sustainability, MDPI, vol. 8(8), pages 1-11, August.
    3. Eugenio Caverzasi & Antoine Godin, 2015. "Post-Keynesian stock-flow-consistent modelling: a survey," Cambridge Journal of Economics, Oxford University Press, vol. 39(1), pages 157-187.
    4. repec:hal:spmain:info:hdl:2441/5qr7f0k4sk8rbq4do5u6v70rm0 is not listed on IDEAS
    5. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    6. Lipp, Judith, 2007. "Lessons for effective renewable electricity policy from Denmark, Germany and the United Kingdom," Energy Policy, Elsevier, vol. 35(11), pages 5481-5495, November.
    7. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    8. Couture, Toby & Gagnon, Yves, 2010. "An analysis of feed-in tariff remuneration models: Implications for renewable energy investment," Energy Policy, Elsevier, vol. 38(2), pages 955-965, February.
    9. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-32.
    10. Philippe Menanteau & Dominique Finon & Marie-Laure Lamy, 2003. "Prices versus quantities :environmental policies for promoting the development of renewable energy," Post-Print halshs-00480457, HAL.
    11. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2012. "Macroprudential Policies in an Agent-Based Artificial Economy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 205-234.
    12. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2019. "Macroeconomic implications of mortgage loan requirements: an agent-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 7-46, March.
    13. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.
    14. J. Doyne Farmer & Paolo Patelli & Ilija I. Zovko, 2003. "The Predictive Power of Zero Intelligence in Financial Markets," Papers cond-mat/0309233, arXiv.org, revised Feb 2004.
    15. Burke, M. & Craxton, M. & Kolstad, C.D. & Onda, C. & Allcott, H. & Baker, E. & Barrage, L. & Carson, R. & Gillingham, K. & Graff-Zivin, J. & Greenstone, M. & Hallegatte, S. & Hanemann, W.M. & Heal, G., 2016. "Opportunities for advances in climate change economics," ISU General Staff Papers 3565, Iowa State University, Department of Economics.
    16. Robert S. Pindyck, 2017. "The Use and Misuse of Models for Climate Policy," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(1), pages 100-114.
    17. Jackson, Tim & Victor, Peter A., 2015. "Does credit create a ‘growth imperative’? A quasi-stationary economy with interest-bearing debt," Ecological Economics, Elsevier, vol. 120(C), pages 32-48.
    18. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2012. "The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    19. Teglio, Andrea & Mazzocchetti, Andrea & Ponta, Linda & Raberto, Marco & Cincotti, Silvano, 2019. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 59-83.
    20. Butler, Lucy & Neuhoff, Karsten, 2008. "Comparison of feed-in tariff, quota and auction mechanisms to support wind power development," Renewable Energy, Elsevier, vol. 33(8), pages 1854-1867.
    21. Menanteau, Philippe & Finon, Dominique & Lamy, Marie-Laure, 2003. "Prices versus quantities: choosing policies for promoting the development of renewable energy," Energy Policy, Elsevier, vol. 31(8), pages 799-812, June.
    22. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
    23. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2012. "Debt, deleveraging and business cycles: An agent-based perspective," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-49.
    24. Armon Rezai & Sigrid Stagl, 2016. "Ecological Macreconomics: Introduction and Review," Ecological Economics Papers ieep9, Institute of Ecological Economics.
    25. Alberto Russo & Luca Riccetti & Mauro Gallegati, 2016. "Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 25-47, March.
    26. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    27. Fouquet, Doerte & Johansson, Thomas B., 2008. "European renewable energy policy at crossroads--Focus on electricity support mechanisms," Energy Policy, Elsevier, vol. 36(11), pages 4079-4092, November.
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    More about this item

    Keywords

    sustainability transition; energy sector; feed-in tariff; agent-based modelling;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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