Macro-economic analysis of green growth policies: the role of finance and technical progress in Italian green growth

  • Leonidas Paroussos
  • Kostas FragkiadakisEmail author
  • Panagiotis Fragkos


The transition to a low-carbon economy is a complex process that, from a technical perspective, requires coordination of different market players, significant technology advancements and sufficient financial resources. The transition to a low-carbon energy system is a capital intensive process. Different technological options at different scales and different time frames will be required for the successful transition to a low-carbon energy system. The economic impact on countries that transform their energy system depends on a multitude of factors including their energy system profile, the access to low-cost financial resources, whether they are market leaders in the production of clean energy technology and their ability to assimilate knowledge that is produced elsewhere. In this study, we use a large scale applied CGE model to compute the macroeconomic implications of the investments required to reduce by 76% as compared to 1990 levels the GHG emissions of the Italian energy system within a context of global concerted GHG mitigation action. The focus of the analysis has been on the Italian economy and energy system as Italy is both an equipment manufacturer, its energy system is largely based on fossil fuels and its financial system is currently under pressure following the elevation of public debt and deficits. The model-based results suggest that the Italian economy can benefit from the low-carbon transition in the coming decades in case Italian firms and households have access to low-cost financial resources, Italian manufacturers acquire market shares in the production of clean energy technologies and technological progress is rapid driven by innovation and economies of scale. The average annual GDP growth of Italy in the period 2015–2050 can be 1.3% in the case that Italy reduces drastically its GHG emissions and the associated cumulative expenditures sum up to one trillion euro.


Funding information

This research received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 642018 (“GREEN-WIN” project).


  1. Adenle AA, Manning DT, Arbiol J (2017) Mitigating climate change in Africa: barriers to financing low-carbon development. World Dev 100:123–132CrossRefGoogle Scholar
  2. Babatunde KA, Begum RA, Said FF (2017) Application of computable general equilibrium (CGE) to climate change mitigation policy: a systematic review. Renew Sust Energ Rev 78:61–71CrossRefGoogle Scholar
  3. Ben Caldecott, (2016) Introduction to special issue: stranded assets and the environment. Journal of Sustainable Finance & Investment 7(1):1-13Google Scholar
  4. Capros P, Van Regemorter D, Paroussos L, Karkatsoulis P, Fragkiadakis C, Tsani S, Charalampidis I, Revesz T (2013) GEM-E3 Model Documentation. JRC Working Papers JRC83177Google Scholar
  5. Chaturvedi V, Clarke L, Edmonds J, Calvin K, Kyle P (2014) Capital investment requirements for greenhouse gas emissions mitigation in power generation on near term to century time scales and global to regional spatial scales. Energy Econ 46:267–278CrossRefGoogle Scholar
  6. Ciscar J-C, Rising J, Kopp R, Feyen L (2019) Assessing future climate change impacts in the EU and the USA: insights and lessons from two continental-scale projects. Environ Res Lett ISSN 1748-9326Google Scholar
  7. Clarke L, Jiang K, Akimoto K, Babiker M, Blanford G, Fisher-Vanden K, Hourcade J-C, Krey V et al (2014) Chapter 6 - Assessing transformation pathways. In: Climate Change 2014: Mitigation of Climate Change. IPCC Working Group III Contribution to AR5. Cambridge University PressGoogle Scholar
  8. Cohen G, Jalle, JT, Loungani P, Marto R, Wang G, (2019) Decoupling of emissions and GDP: Evidence from aggregate and provincial Chinese data. Energy Economics 77:105–118Google Scholar
  9. Deutch J (2017) Decoupling economic growth and carbon emissions. Joule 1(1):3–5CrossRefGoogle Scholar
  10. Directorate-General for Economic and Financial Affairs (European Commission): The 2015 ageing report: economic and budgetary projections for the 28 EU Member States (2013–2060). European Economy 3. May 2015. BrusselsGoogle Scholar
  11. Egli F, Steffen B, Schmidt TS (2018) A dynamic analysis of financing conditions for renewable energy technologies. Nat Energy 3(12):1084–1092CrossRefGoogle Scholar
  12. Flaherty M, Gevorkyan A, Radpour S, Semmler W (2017) Financing climate policies through climate bonds—a three stage model and empirics. Res Int Bus Financ 42:468–479CrossRefGoogle Scholar
  13. Fragkos P, Paroussos L, Capros P, Boeve S, Sach T (2017) Job creation related to renewables, technical report to DGENER, ASSET project, Accessed 08/2019
  14. Fraunhofer ISE, 2016. Photovoltaics report. Freiburg, Germany: Fraunhofer Institute for Solar Energy Systems (ISE).Google Scholar
  15. IEA (2013). Global EV Outlook, Understanding the Electric Vehicle Landscape to 2020, April, France.Google Scholar
  16. ITRPV and VDMA (2017). International Technology Roadmap for Photovoltaic 2016 Results. Eight Edition. Germany.Google Scholar
  17. Karkatsoulis P , Kouvaritakis N, Paroussos L, Fragkos P, Capros P (2014) Modification of GEM-E3 technological innovation module. SIMPATIC Working Paper No.18Google Scholar
  18. Kober T, Summerton P, Pollitt H, Chewpreecha U, Ren X, Wills W, Octaviano C, McFarland J, Beach R, Cai Y, Calderon S, Fisher-Vanden K, Rodriguez AML (2016) Macroeconomic impacts of climate change mitigation in Latin America: a cross-model comparison. Energy Econ 56:625–636CrossRefGoogle Scholar
  19. Kriegler E, Tavoni M, Aboumahboub T, Luderer G, Calvin K, Demaere G, Krey V, Riahi K, Rösler H, Schaeffer M, Van Vuuren DP (2013) What does the 2°C target imply for a global climate agreement in 2020? The limits study on Durban Platform scenarios, climate change economics (CCE), World Scientific Publishing Co Pte. Ltd., vol. 4(04), pages 1–30Google Scholar
  20. Kriegler E, Riahi K, Bauer N, Schwanitz VJ, Petermann N, Bosetti V, Marcucci A, Otto S, Paroussos L, Rao S, Currás TA, Ashina S, Bollen J, Eom J, Hamdi-Cherif M, Longden T, Kitous A, Méjean A, Sano F, Schaeffer M, Wada K, Capros P, van Vuuren DP, Edenhofer O (2015) Making or breaking climate targets: the AMPERE study on staged accession scenarios for climate policy. Technol Forecast Soc Chang 90:24–44CrossRefGoogle Scholar
  21. Lee SJ, Liu LQ, Stebunovs V (2017) Risk taking and interest rates: evidence from decades in the global syndicated loan market. IMFGoogle Scholar
  22. Mayer T, Kreyenberg D, Wind J, Braun F, (2012) Feasibility study of 2020 target costs for PEM fuel cells and lithium-ion batteries: A two-factor experience curve approach. International Journal of Hydrogen Energy 37(19):14463–14474Google Scholar
  23. Mauleón I, (2016) Photovoltaic learning rate estimation: Issues and implications. Renewable and Sustainable Energy Reviews 65:507–524Google Scholar
  24. McGlade C, Ekins P (2015) 'The geographical distribution of fossil fuels unused when limiting global warming to 2°C', Nature 517Google Scholar
  25. Mercure J-F, Pollitt H, Edwards NR, Holden PB, Chewpreecha U, Salas P, Lam A, Knobloch F, Vinuales JE (2018a) Environmental impact assessment for climate change policy with the simulation-based integrated assessment model E3ME-FTT-GENIE. Energ Strat Rev 20:195–208CrossRefGoogle Scholar
  26. Mercure J-F, Pollitt H, Viñuales JE, Edwards NR, Holden PB, Chewpreecha U, Salas P, Sognnaes I, Lam A, Knobloch F (2018b) Macroeconomic impact of stranded fossil fuel assets. Nat Clim Chang 8(7):588–593CrossRefGoogle Scholar
  27. Mercure J-F, Knobloch F, Pollitt H, Paroussos L, Scrieciu SS, Lewney R (2019) Modelling innovation and the macroeconomics of low-carbon transitions: theory, perspectives and practical use. Climate PolicyGoogle Scholar
  28. Nagelhout and Ros (2009). Elektrisch autorijden Evaluatie van transities op basis van systeemopties. Report 500083010. PBL. The NetherlandsGoogle Scholar
  29. Nykvist B, Nilsson M, (2015) Rapidly falling costs of battery packs for electric vehicles. Nature Climate Change 5(4):329–332Google Scholar
  30. OECD (2015) The economic consequences of climate changeGoogle Scholar
  31. Paroussos L, Fragkos P, Vrontisi Z, Fragkiadakis K, Pollitt H, Lewney R, Chewpreecha U (2017) R&D and technology spillovers of clean energy technologies: a case study on the influence of early action and spillover effects on the competitiveness impacts of climate and energy policies. DG-Energy technical reportGoogle Scholar
  32. Paroussos L, Fragkiadakis K, Mandel A Jochen P, Hinkel J, Vrontisi Z (2019) Climate clubs: the macro-economic benefits of international cooperation on climate policy. Nat Clim ChangeGoogle Scholar
  33. Parry I, Shang B, Wingender P, Vernon N, Narasimhan T (2016) Climate mitigation in China: which policies are most effective? IMF working paper no. 16/148. Available at SSRN: Accessed 08/2018
  34. Partner O, Allen D, Sawyerr F (2017) Review of capital costs for electricity generation technologies. Energy – Environmental economics, Technical CommitteeGoogle Scholar
  35. Rezai A, Taylor L, Foley D (2018) Economic growth, income distribution, and climate change. Ecol Econ 146:164–172CrossRefGoogle Scholar
  36. Rogelj J, Popp A, Calvin KV, Luderer G, Emmerling J, Gernaat D, Fujimori S, Strefler J, Hasegawa T, Marangoni G, Krey V, Kriegler E, Riahi K, van Vuuren DP, Doelman J, Drouet L, Edmonds J, Fricko O, Harmsen M, Havlík P, Humpenöder F, Stehfest E, Tavoni M (2018) Scenarios towards limiting global mean temperature increase below 1.5°C. Nat Clim Chang 8:325–332CrossRefGoogle Scholar
  37. Rubin ES, Azevedo IML, Jaramillo P, Yeh S, (2015) A review of learning rates for electricity supply technologies. Energy Policy 86:198-218Google Scholar
  38. ​Sachs, J., 2014. Climate change and intergenerational well-being. In: Lucas, B., Willi, S. (Eds.), The Oxford Handbook of the Macroeconomics of GlobalWarming. Oxford University Press, Oxford, pp. 248–259.Google Scholar

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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.E3-ModellingAthensGreece

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