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Modelling the effects of climate change on economic growth: a Bayesian Structural Global Vector Autoregressive approach

Author

Listed:
  • Maryam Ahmadi

    (Fondazione Eni Enrico Mattei)

  • Chiara Casoli

    (Fondazione Eni Enrico Mattei)

  • Matteo Manera

    (Fondazione Eni Enrico Mattei and Department of Economics, Management and Statistics – DEMS, University of Milano-Bicocca)

  • Daniele Valenti

    (Fondazione Eni Enrico Mattei and Department of Environmental Science and Policy – DESP, University of Milano)

Abstract
The identification of the effects of climate shocks on economic growth is central to design effective policies aiming at managing the future global climate change challenge. In this study, we investigate the effects of temperature and precipitation shocks on economic growth across different countries by means of a new methodology, namely a Bayesian Structural Global VARX model. This setup accommodates economic interpretation of the shocks and accounts for crosssectional spillovers among countries, as well as endogeneity of the climate variables with respect to the economy. Results show a high degree of heterogeneity, with some economies positively and some others negatively affected by climate shocks. In contrast with a consistent strand of the literature, according to which hot and poor countries bear the heaviest burden, we show that climate shocks may have severe effects for the economic growth of rich and cold countries as well. Furthermore, accounting for trade interdependence across countries, we document that, in response to unexpected temperature and precipitation shocks, some economies benefit from interconnections, while some others are damaged, depending on some key structural characteristics as the import-export mix, the relevant trade partners network and the level of economic development.

Suggested Citation

  • Maryam Ahmadi & Chiara Casoli & Matteo Manera & Daniele Valenti, 2022. "Modelling the effects of climate change on economic growth: a Bayesian Structural Global Vector Autoregressive approach," Working Papers 2022.46, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2022.46
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    References listed on IDEAS

    as
    1. Richard S J Tol, 2018. "The Economic Impacts of Climate Change," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 4-25.
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    Cited by:

    1. Pratik Thakkar & Kausik Gangopadhyay & Rupayan Pal, 2023. "Temperature shock and economic growth: Does spillover effect hurt more?," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2023-014, Indira Gandhi Institute of Development Research, Mumbai, India.
    2. Emanuele Bacchiocchi & Andrea Bastianin & Graziano Moramarco, 2024. "Macroeconomic Spillovers of Weather Shocks across U.S. States," Working Papers 2024.09, Fondazione Eni Enrico Mattei.
    3. Paulo M. M. Rodrigues & Mirjam Salish & Nazarii Salish, 2024. "Saving for sunny days: The impact of climate (change) on consumer prices in the euro area," Papers 2401.03740, arXiv.org.

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    More about this item

    Keywords

    Climate econometrics; Bayesian Structural VARs; Identification theory; Global VARs;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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