IDEAS home Printed from https://ideas.repec.org/p/lie/dpaper/9.html

Global temperature, R&D expenditure, and growth

Author

Listed:
  • Michael Donadelli

    (Faculty of Economics and Business Administration and Research Center SAFE, Goethe University Frankfurt)

  • Patrick Grüning

    (Center for Excellence in Finance and Economic Research (CEFER), Bank of Lithuania, and Faculty of Economics and Business Administration, Vilnius University)

  • Marcus Jüppner

    (Deutsche Bundesbank, and Faculty of Economics and Business Administration, Goethe University Frankfurt)

  • Renatas Kizys

    (Faculty of Business and Law, University of Portsmouth)

Abstract

We shed new light on the macroeconomic effects of rising temperatures. In the data, a shock to global temperature dampens research and development (R&D) expenditure growth. This novel empirical evidence is rationalised within a stochastic endogenous growth model. In the model, Temperature shocks undermine economic growth via a drop in R&D. Moreover, temperature risk generates welfare costs of 13.50% of lifetime utility. The government can offset these welfare costs by subsidizing investment with 1.02% or R&D expenditure with 0.52% of total public spending, respectively. Alternatively, it can levy a lump-sum tax on households which finances 0.64% of total public spending.

Suggested Citation

  • Michael Donadelli & Patrick Grüning & Marcus Jüppner & Renatas Kizys, 2018. "Global temperature, R&D expenditure, and growth," Bank of Lithuania Discussion Paper Series 9, Bank of Lithuania.
    • Handle: RePEc:lie:dpaper:9
    as

    Download full text from publisher

    File URL: https://www.lb.lt/en/publications/no-9-michael-donadelli-patrick-gruning-marcus-juppner-renatas-kizys-global-temperature-r-d-expenditure-and-growth
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Hu, Haiqing & Wei, Wei & Chang, Chun-Ping, 2022. "Examining the impact of extreme temperature on green innovation in China: Evidence from city-level data," Energy Economics, Elsevier, vol. 114(C).
    3. Sheng, Xin & Gupta, Rangan & Çepni, Oğuzhan, 2022. "The effects of climate risks on economic activity in a panel of US states: The role of uncertainty," Economics Letters, Elsevier, vol. 213(C).
    4. Söderberg, Magnus & Vesterberg, Mattias, 2023. "How demand uncertainty influences electricity network prices under revenue-cap regulation: The case of Sweden," Energy Economics, Elsevier, vol. 127(PB).
    5. Lyu, Zhuoyang & Yu, Li & Liu, Chen & Ma, Tiemeng, 2024. "When temperatures matter: Extreme heat and labor share," Energy Economics, Elsevier, vol. 138(C).
    6. Parsley, David & Popper, Helen, 2024. "Climate change salience and international equity returns," Journal of Economic Behavior & Organization, Elsevier, vol. 226(C).
    7. Foglia, Matteo & Plakandaras, Vasilios & Gupta, Rangan & Ji, Qiang, 2025. "Long-span multi-layer spillovers between moments of advanced equity markets: The role of climate risks," Research in International Business and Finance, Elsevier, vol. 74(C).
    8. Sheng, Xin & Gupta, Rangan & Cepni, Oguzhan, 2022. "Persistence of state-level uncertainty of the United States: The role of climate risks," Economics Letters, Elsevier, vol. 215(C).
    9. Caporin, Massimiliano & Caraiani, Petre & Cepni, Oguzhan & Gupta, Rangan, 2025. "Predicting the conditional distribution of US stock market systemic Stress: The role of climate risks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 101(C).
    10. Ragulskis, Tautvydas & Kizys, Renatas & Darškuvienė, Valdonė & Misiūnas, Dalius, 2025. "Escaping green prison through evolutionary games for firms," Finance Research Letters, Elsevier, vol. 80(C).
    11. Rangan Gupta & Anandamayee Majumdar & Christian Pierdzioch & Onur Polat, 2024. "Climate Risks and Real Gold Returns over 750 Years," Forecasting, MDPI, vol. 6(4), pages 1-16, October.
    12. Jingdong Zhong, 2019. "Biased Technical Change, Factor Substitution, and Carbon Emissions Efficiency in China," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    13. Kejin Wu & Sayar Karmakar & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Stock Market Volatility Over a Century in an Emerging Market Economy: The Case of South Africa," Working Papers 202326, University of Pretoria, Department of Economics.
    14. Wang, Juan & Li, Jing & Zhang, Qingjun, 2021. "Does carbon efficiency improve financial performance? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 104(C).
    15. Sun, Yunpeng & Razzaq, Asif & Kizys, Renatas & Bao, Qun, 2022. "High-speed rail and urban green productivity: The mediating role of climatic conditions in China," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    16. Hu, Yiming & Liao, Hua, 2025. "High temperatures and national saving: Experience in the latest six decades," Energy Economics, Elsevier, vol. 145(C).
    17. ALBU Ada-Cristina & ALBU Lucian-Liviu, 2020. "The Impact Of Climate Change On Income Inequality. Evidence From European Union Countries," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 15(3), pages 223-235, December.
    18. Gerlagh, Reyer, 2023. "Climate, technology, family size; on the crossroad between two ultimate externalities," European Economic Review, Elsevier, vol. 152(C).
    19. Franziska Piontek & Matthias Kalkuhl & Elmar Kriegler & Anselm Schultes & Marian Leimbach & Ottmar Edenhofer & Nico Bauer, 2019. "Economic Growth Effects of Alternative Climate Change Impact Channels in Economic Modeling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1357-1385, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General

    Statistics

    Access and download statistics

    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:lie:dpaper:9. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Aurelija Proskute (email available below). General contact details of provider: https://edirc.repec.org/data/lbanklt.html .

    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.