IDEAS home Printed from https://ideas.repec.org/a/kap/enreec/v86y2023i1d10.1007_s10640-023-00792-4.html
   My bibliography  Save this article

Assessing Macro-economic Effects of Climate Impacts on Energy Demand in EU Sub-national Regions

Author

Listed:
  • Gabriele Standardi

    (CMCC@Ca’Foscari Centro Euro-Mediterraneo Sui Cambiamenti Climatici Università Cà Foscari
    RFF-CMCC European Institute on Economics and the Environment (EIEE))

  • Shouro Dasgupta

    (CMCC@Ca’Foscari Centro Euro-Mediterraneo Sui Cambiamenti Climatici Università Cà Foscari
    RFF-CMCC European Institute on Economics and the Environment (EIEE)
    London School of Economics and Political Science (LSE))

  • Ramiro Parrado

    (CMCC@Ca’Foscari Centro Euro-Mediterraneo Sui Cambiamenti Climatici Università Cà Foscari
    RFF-CMCC European Institute on Economics and the Environment (EIEE))

  • Enrica Cian

    (CMCC@Ca’Foscari Centro Euro-Mediterraneo Sui Cambiamenti Climatici Università Cà Foscari
    RFF-CMCC European Institute on Economics and the Environment (EIEE)
    Ca’ Foscari University of Venice)

  • Francesco Bosello

    (CMCC@Ca’Foscari Centro Euro-Mediterraneo Sui Cambiamenti Climatici Università Cà Foscari
    RFF-CMCC European Institute on Economics and the Environment (EIEE)
    Ca’ Foscari University of Venice)

Abstract

European policy makers are increasingly interested in higher spatial representations of future macro-economic consequences from climate-induced shifts in the energy demand. Indeed, EU sub-national level analyses are currently missing in the literature. In this paper, we conduct a macro-economic assessment of the climate change impacts on energy demand at the EU sub-national level by considering twelve types of energy demand impacts, which refer to three carriers (petroleum, gas, and electricity) and four sectors (agriculture, industry, services, and residential). These impacts have been estimated using climatic data at a high spatial resolution across nine Shared Socioeconomic Pathway (SSP) and Representative Concentration Pathway (RCP) combinations. The impacts feed into a Computable General Equilibrium model, whose regional coverage has been extended to the sub-national NUTS2 and NUTS1 level. Results show that negative macroeconomic effects are not negligible in regions located in Southern Europe mainly driven by increased energy demand for cooling. By 2070, we find negative effects larger than 1% of GDP, especially in SSP5-RCP8.5 and SSP3-RCP4.5 with a maximum of − 7.5% in Cyprus. Regarding regional differences, we identify economic patterns of winners and losers between Northern and Southern Europe. Contrasting scenario combinations, we find that mitigation reduces adverse macro-economic effects for Europe up to a factor of ten in 2070, from 0.4% GDP loss in SSP5-RCP8.5 to 0.04% in SSP2-RCP2.6.

Suggested Citation

  • Gabriele Standardi & Shouro Dasgupta & Ramiro Parrado & Enrica Cian & Francesco Bosello, 2023. "Assessing Macro-economic Effects of Climate Impacts on Energy Demand in EU Sub-national Regions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 173-201, October.
  • Handle: RePEc:kap:enreec:v:86:y:2023:i:1:d:10.1007_s10640-023-00792-4
    DOI: 10.1007/s10640-023-00792-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10640-023-00792-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10640-023-00792-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. James E. Anderson & Eric van Wincoop, 2003. "Gravity with Gravitas: A Solution to the Border Puzzle," American Economic Review, American Economic Association, vol. 93(1), pages 170-192, March.
    2. Enrica De Cian & Elisa Lanzi & Roberto Roson, 2007. "The Impact of Temperature Change on Energy Demand: A Dynamic Panel Analysis," Working Papers 2007.46, Fondazione Eni Enrico Mattei.
    3. Glyn Wittwer & Mark Horridge, 2010. "Bringing Regional Detail to a CGE Model using Census Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 229-255.
    4. Bazilian, Morgan & Rogner, Holger & Howells, Mark & Hermann, Sebastian & Arent, Douglas & Gielen, Dolf & Steduto, Pasquale & Mueller, Alexander & Komor, Paul & Tol, Richard S.J. & Yumkella, Kandeh K., 2011. "Considering the energy, water and food nexus: Towards an integrated modelling approach," Energy Policy, Elsevier, vol. 39(12), pages 7896-7906.
    5. Enrica Cian & Ian Sue Wing, 2019. "Correction to: Global Energy Consumption in a Warming Climate," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1415-1415, August.
    6. Jeffrey C Peters, 2016. "The GTAP-Power Data Base: Disaggregating the Electricity Sector in the GTAP Data Base," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 209-250, June.
    7. Parrado, Ramiro & De Cian, Enrica, 2014. "Technology spillovers embodied in international trade: Intertemporal, regional and sectoral effects in a global CGE framework," Energy Economics, Elsevier, vol. 41(C), pages 76-89.
    8. Roberto Roson & Martina Sartori, 2016. "Estimation of Climate Change Damage Functions for 140 Regions in the GTAP 9 Database," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(2), pages 78-115, December.
    9. McFarland, J. R. & Reilly, J. M. & Herzog, H. J., 2004. "Representing energy technologies in top-down economic models using bottom-up information," Energy Economics, Elsevier, vol. 26(4), pages 685-707, July.
    10. Mark Howells & H-Holger Rogner, 2014. "Assessing integrated systems," Nature Climate Change, Nature, vol. 4(4), pages 246-247, April.
    11. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    12. Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    13. Burniaux, Jean-March & Truong, Truong P., 2002. "Gtap-E: An Energy-Environmental Version Of The Gtap Model," Technical Papers 28705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
    15. Pilli-Sihvola, Karoliina & Aatola, Piia & Ollikainen, Markku & Tuomenvirta, Heikki, 2010. "Climate change and electricity consumption--Witnessing increasing or decreasing use and costs?," Energy Policy, Elsevier, vol. 38(5), pages 2409-2419, May.
    16. Enrica De Cian & Elisa Lanzi & Roberto Roson, 2013. "Seasonal temperature variations and energy demand," Climatic Change, Springer, vol. 116(3), pages 805-825, February.
    17. Mideksa, Torben K. & Kallbekken, Steffen, 2010. "The impact of climate change on the electricity market: A review," Energy Policy, Elsevier, vol. 38(7), pages 3579-3585, July.
    18. Andrea BONFIGLIO, 2008. "Evaluating Implications of Agricultural Policies in a Rural Region through a CGE Analysis," Working Papers 328, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    19. McCallum, John, 1995. "National Borders Matter: Canada-U.S. Regional Trade Patterns," American Economic Review, American Economic Association, vol. 85(3), pages 615-623, June.
    20. Hanoch, Giora, 1971. "CRESH Production Functions," Econometrica, Econometric Society, vol. 39(5), pages 695-712, September.
    21. Enrica Cian & Ian Sue Wing, 2019. "Global Energy Consumption in a Warming Climate," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 365-410, February.
    22. Gunnar Eskeland & Torben Mideksa, 2010. "Electricity demand in a changing climate," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(8), pages 877-897, December.
    23. Beckman, Jayson & Hertel, Thomas & Tyner, Wallace, 2011. "Validating energy-oriented CGE models," Energy Economics, Elsevier, vol. 33(5), pages 799-806, September.
    24. Schaeffer, Roberto & Szklo, Alexandre Salem & Pereira de Lucena, André Frossard & Moreira Cesar Borba, Bruno Soares & Pupo Nogueira, Larissa Pinheiro & Fleming, Fernanda Pereira & Troccoli, Alberto & , 2012. "Energy sector vulnerability to climate change: A review," Energy, Elsevier, vol. 38(1), pages 1-12.
    25. Andrea Bonfiglio & Francesco Chelli, 2008. "Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input-Output Tables through a Monte Carlo Simulation," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 243-258.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Standardi, Gabriele & Cai, Yiyong & Yeh, Sonia, 2017. "Sensitivity of modeling results to technological and regional details: The case of Italy's carbon mitigation policy," Energy Economics, Elsevier, vol. 63(C), pages 116-128.
    2. Enrica De Cian & Ian Sue Wing, 2016. "Global Energy Demand in a Warming Climate," Working Papers 2016.16, Fondazione Eni Enrico Mattei.
    3. Enrica Cian & Ian Sue Wing, 2019. "Global Energy Consumption in a Warming Climate," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 365-410, February.
    4. Pérez-Blanco, C. D & Standardi, G., 2019. "Farm waters run deep: a coupled positive multi-attribute utility programming and computable general equilibrium model to assess the economy-wide impacts of water buyback," Agricultural Water Management, Elsevier, vol. 213(C), pages 336-351.
    5. Perez Blanco, C.D., 2018. "Waters run deep: A coupled Revealed Preference and CGE model to assess the economy-wide impacts of agricultural water buyback," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277028, International Association of Agricultural Economists.
    6. Antimiani, Alessandro & Costantini, Valeria & Paglialunga, Elena, 2015. "The sensitivity of climate-economy CGE models to energy-related elasticity parameters: Implications for climate policy design," Economic Modelling, Elsevier, vol. 51(C), pages 38-52.
    7. Alessandro Antimiani & Valeria Costantini & Elena Paglialunga, 2015. "An analysis of the sensitivity of a dynamic climate-economy CGE model (GDynE) to empirically estimated energy-related elasticity parameters," SEEDS Working Papers 0515, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Mar 2015.
    8. Eboli, Fabio & Parrado, Ramiro & Roson, Roberto, 2010. "Climate-change feedback on economic growth: explorations with a dynamic general equilibrium model," Environment and Development Economics, Cambridge University Press, vol. 15(5), pages 515-533, October.
    9. Parrado, Ramiro & De Cian, Enrica, 2014. "Technology spillovers embodied in international trade: Intertemporal, regional and sectoral effects in a global CGE framework," Energy Economics, Elsevier, vol. 41(C), pages 76-89.
    10. Esmedekh Lkhanaajav, 2016. "CoPS-style CGE modelling and analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-264, Victoria University, Centre of Policy Studies/IMPACT Centre.
    11. Alessandro Antimiani & Valeria Costantini & Anil Markandya & Chiara Martini & Alessandro Palma, 2014. "A dynamic CGE modelling approach for analyzing trade-offs in climate change policy options: the case of Green Climate Fund," Working Papers 2014-05, BC3.
    12. Enrica De Cian & Ramiro Parrado, 2012. "Technology Spillovers Embodied in International Trade: Intertemporal, regional and sectoral effects in a global CGE," Working Papers 2012.27, Fondazione Eni Enrico Mattei.
    13. Hong, Chanyoung & Yang, Heewon & Hwang, Wonsik & Lee, Jeong-Dong, 2014. "Validation of an R&D-based computable general equilibrium model," Economic Modelling, Elsevier, vol. 42(C), pages 454-463.
    14. Trotter, Ian M. & Bolkesjø, Torjus Folsland & Féres, José Gustavo & Hollanda, Lavinia, 2016. "Climate change and electricity demand in Brazil: A stochastic approach," Energy, Elsevier, vol. 102(C), pages 596-604.
    15. Zaki, Chahir, 2008. "Does Trade Facilitation Matter in Bilateral Trade?," Conference papers 331804, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    16. Campagnolo, Lorenza & De Cian, Enrica, 2022. "Distributional consequences of climate change impacts on residential energy demand across Italian households," Energy Economics, Elsevier, vol. 110(C).
    17. Bosello, Francesco & Roson, Roberto, 2006. "Climate Change, Energy Demand and Market Power in a General Equilibrium Model of the World Economy," Conference papers 331448, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    18. Lorenza Campagnolo & Carlo Carraro & Fabio Eboli & Luca Farnia & Ramiro Parrado & Roberta Pierfederici, 2018. "The Ex-Ante Evaluation of Achieving Sustainable Development Goals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 73-116, February.
    19. Kamel Almutairi & Greg Thoma & Alvaro Durand-Morat, 2018. "Ex-Ante Analysis of Economic, Social and Environmental Impacts of Large-Scale Renewable and Nuclear Energy Targets for Global Electricity Generation by 2030," Sustainability, MDPI, vol. 10(8), pages 1-25, August.
    20. Clora, Francesco & Yu, Wusheng, 2022. "GHG emissions, trade balance, and carbon leakage: Insights from modeling thirty-one European decarbonization pathways towards 2050," Energy Economics, Elsevier, vol. 113(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:enreec:v:86:y:2023:i:1:d:10.1007_s10640-023-00792-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.