Number of the records: 1  

Modeling economic losses and greenhouse gas emissions reduction during the COVID-19 pandemic: Past, present, and future scenarios for Italy

  1. 1.
    0557754 - ÚFCH JH 2023 RIV NL eng J - Journal Article
    Cottafava, D. - Gastaldo, Michele - Quatraro, F. - Santhiá, C.
    Modeling economic losses and greenhouse gas emissions reduction during the COVID-19 pandemic: Past, present, and future scenarios for Italy.
    Economic Modelling. Roč. 110, MAY 2022 (2022), č. článku 105807. ISSN 0264-9993. E-ISSN 1873-6122
    Institutional support: RVO:61388955
    Keywords : Covid-19 * Greenhouse gas * Input output
    OECD category: Physical chemistry
    Impact factor: 4.7, year: 2022
    Method of publishing: Limited access

    Unprecedented nationwide lockdowns were adopted because of the COVID-19 pandemic. Understanding the socioeconomic impact of the past and future restrictions while assessing the resilience of a local economy emerged as a worldwide necessity. To predict the economic and environmental effects of the lockdowns, we propose a methodology based on the well-established input-output inoperability model, using Italy as a case study. By reconstructing the 2020 restrictions, we analyzed the economic losses and greenhouse gas emissions reductions, identifying the most economically impacted sectors because of the restrictions and the sectoral interdependencies and those avoiding most air emissions. We constructed four partial-lockdown scenarios by minimizing the economic losses for increasing restrictions to highlight the model's utility as a tool for policymaking. By revealing the most interconnected and, thus, crucial sectors, the simulated scenarios showcase how the restrictions can be selected to avoid sudden and unpredicted economic damage.

    Permanent Link: http://hdl.handle.net/11104/0331672

     
    FileDownloadSizeCommentaryVersionAccess
    0557754.pdf12.7 MBPublisher’s postprintrequire
     
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.