IDEAS home Printed from https://ideas.repec.org/p/frz/wpaper/wp2022_24.rdf.html
   My bibliography  Save this paper

Incorporating Hydrological Variability into a Hydro-economic Input-Output Model. An application to Tuscany

Author

Listed:
  • Gino Sturla
  • Benedetto Rocchi

Abstract

The recent work of Rocchi and Sturla (2021) estimates the economic pressure on water resources in Tuscany using an input-output (IO) model with an average hydrology. The present work considers the inter-annual hydrologic variability, which has an effect on both the supply and demand of water and, therefore, on the extended water exploitation index (EWEI). A multivariate hydrological model is built to generate synthetical annul series of precipitation, evapotranspiration, runoff and groundwater recharge. The interaction between hydrology and the economy generates two endogenous effects in the model: i) changes in water withdrawals and discharges coefficients in the agricultural industry due to variations in precipitation and evapotranspiration, and ii) changes in water requirements for dilution coefficients in all discharging industries due to variations in runoff and groundwater recharge. Based on Monte Carlo simulations, the inter-annual variability of the extended demand and the feasible supply of water are calculated for the Tuscan economy. The cumulative probability distribution of the EWEI indicator is confronted to the scarcity thresholds proposed in the literature. A methodology to incorporate the intra-annual variation of both the extended demand and the feasible supply is also proposed, obtaining the probability distribution of the EWEI for the critical month, as a more accurate indicator of water scarcity.

Suggested Citation

  • Gino Sturla & Benedetto Rocchi, 2022. "Incorporating Hydrological Variability into a Hydro-economic Input-Output Model. An application to Tuscany," Working Papers - Economics wp2022_24.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  • Handle: RePEc:frz:wpaper:wp2022_24.rdf
    as

    Download full text from publisher

    File URL: https://www.disei.unifi.it/upload/sub/pubblicazioni/repec/pdf/wp24_2022.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Input-output; hydrological variability; agriculture; water quality; Montecarlo simulations; water exploitation; Tuscany.;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - 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:frz:wpaper:wp2022_24.rdf. 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: Giorgio Ricchiuti (email available below). General contact details of provider: https://edirc.repec.org/data/defirit.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.