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Socioeconomic spillovers of the 2016–2017 Italian earthquakes: a bi-regional inoperability model

Author

Listed:
  • Irfan Ahmed

    (Jazan University)

  • Claudio Socci

    (University of Macerata)

  • Rosita Pretaroli

    (University of Macerata)

  • Francesca Severini

    (University of Macerata)

  • Stefano Deriu

    (University of Macerata)

Abstract

In August and October 2016, and January 2017, Central Italy was shaken by four strong earthquakes followed by other earthquake swarms. These disruptive phenomena, besides bringing devastation in the territory directly involved, caused economic blackouts to important transactions among activities, with consequent different reactions in the economic performance of the whole country. Therefore, the overall economic impact of a disaster should encompass the complete representation of phenomenon, and requires an analytical framework to depict the circular flow of income in all its phases. In this perspective, the current study presents an evolution of the inoperability input–output model by introducing a new approach of bi-regional inoperability extended multisectoral model. This allows assessing the intra-regional and the inter-regional effects of the earthquakes in the production processes and in the institutional sectors disposable incomes of two Italian macro areas, the North-Centre and the South-Islands.

Suggested Citation

  • Irfan Ahmed & Claudio Socci & Rosita Pretaroli & Francesca Severini & Stefano Deriu, 2022. "Socioeconomic spillovers of the 2016–2017 Italian earthquakes: a bi-regional inoperability model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 426-453, January.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:1:d:10.1007_s10668-021-01446-5
    DOI: 10.1007/s10668-021-01446-5
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    References listed on IDEAS

    as
    1. Jan Oosterhaven, 2017. "On the limited usability of the inoperability IO model," Economic Systems Research, Taylor & Francis Journals, vol. 29(3), pages 452-461, July.
    2. Yasuhide Okuyama, 2014. "Disaster And Economic Structural Change: Case Study On The 1995 Kobe Earthquake," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 98-117, March.
    3. Maurizio Ciaschini & Andrea Karim El Meligi & Nicoleta Anca Matei & Rosita Pretaroli & Claudio Socci, 2015. "European Structural Funds and Labor Force Requirement in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 134-153, December.
    4. Geoffrey J. D. Hewings & Michael Sonis & Moss Madden & Yoshio Kimura (ed.), 1999. "Understanding and Interpreting Economic Structure," Advances in Spatial Science, Springer, number 978-3-662-03947-2.
    5. Eiji Yamamura, 2010. "Effects of Interactions among Social Capital, Income and Learning from Experiences of Natural Disasters: A Case Study from Japan," Regional Studies, Taylor & Francis Journals, vol. 44(8), pages 1019-1032.
    6. Maurizio Ciaschini & Claudio Socci, 2007. "Bi†Regional Sam Linkages: A Modified Backward And Forward Dispersion Approach," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 19(3), pages 233-254, November.
    7. -, 2003. "Handbook for estimating the socio-economic and environmental effects of disasters," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 2782 edited by Eclac.
    8. Adam Rose, 2004. "Economic Principles, Issues, and Research Priorities in Hazard Loss Estimation," Advances in Spatial Science, in: Yasuhide Okuyama & Stephanie E. Chang (ed.), Modeling Spatial and Economic Impacts of Disasters, chapter 2, pages 13-36, Springer.
    9. Claudio Socci & Maurizio Ciaschini & Andrea Karim El Meligi, 2014. "CO2 emissions and value added change: assessing the trade-off through the macro multiplier approach," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2014(2), pages 49-74.
    10. Elco E. Koks & Mark Thissen, 2016. "A Multiregional Impact Assessment Model for disaster analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(4), pages 429-449, October.
    11. Yoshio Kajitani & Hirokazu Tatano, 2014. "Estimation Of Production Capacity Loss Rate After The Great East Japan Earthquake And Tsunami In 2011," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 13-38, March.
    12. Irfan Ahmed & Claudio Socci & Francesca Severini & Qaiser Rafique Yasser & Rosita Pretaroli, 2018. "The structures of production, final demand and agricultural output: a Macro Multipliers analysis of the Nigerian economy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 691-739, December.
    13. Yasuhide Okuyama, 2007. "Economic Modeling for Disaster Impact Analysis: Past, Present, and Future," Economic Systems Research, Taylor & Francis Journals, vol. 19(2), pages 115-124.
    14. Yasuhide Okuyama & Michael Sonis & Geoffrey J. D. Hewings, 1999. "Economic Impacts of an Unscheduled, Disruptive Event: A Miyazawa Multiplier Analysis," Advances in Spatial Science, in: Geoffrey J. D. Hewings & Michael Sonis & Moss Madden & Yoshio Kimura (ed.), Understanding and Interpreting Economic Structure, chapter 6, pages 113-143, Springer.
    15. Sam Cole, 2004. "Geohazards in Social Systems: An Insurance Matrix Approach," Advances in Spatial Science, in: Yasuhide Okuyama & Stephanie E. Chang (ed.), Modeling Spatial and Economic Impacts of Disasters, chapter 6, pages 103-118, Springer.
    16. Mohan, Preeya S. & Ouattara, Bazoumana & Strobl, Eric, 2018. "Decomposing the Macroeconomic Effects of Natural Disasters: A National Income Accounting Perspective," Ecological Economics, Elsevier, vol. 146(C), pages 1-9.
    17. Irfan Ahmed & Claudio Socci & Francesca Severini & Rosita Pretaroli & Hassan Kasady Al Mahdi, 2020. "Unconventional monetary policy and real estate sector: a financial dynamic computable general equilibrium model for Italy," Economic Systems Research, Taylor & Francis Journals, vol. 32(2), pages 221-238, April.
    18. Andrea Karim El Meligi & Maurizio Ciaschini & Yousaf Ali Khan & Rosita Pretaroli & Francesca Severini & Claudio Socci, 2019. "The inoperability extended multisectoral model and the Role of Income Distribution: A U.K. Case Study," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(3), pages 617-631, September.
    19. Jan Oosterhaven & Johannes Többen, 2017. "Wider economic impacts of heavy flooding in Germany: a non-linear programming approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 404-428, October.
    20. Adam Rose & Dan Wei, 2013. "Estimating The Economic Consequences Of A Port Shutdown: The Special Role Of Resilience," Economic Systems Research, Taylor & Francis Journals, vol. 25(2), pages 212-232, June.
    21. Stéphane Hallegatte, 2008. "An adaptive regional input-output model and its application to the assessment of the economic cost of Katrina," Post-Print hal-00716550, HAL.
    22. Erik Dietzenbacher & Ronald E. Miller, 2015. "Reflections On The Inoperability Input--Output Model," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 478-486, December.
    23. Pyatt, F Graham & Round, Jeffery I, 1979. "Accounting and Fixed Price Multipliers in a Social Accounting Matrix Framework," Economic Journal, Royal Economic Society, vol. 89(356), pages 850-873, December.
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    More about this item

    Keywords

    Inoperability models; Income distribution; Social accounting matrix; Disaster impact analysis; Socioeconomic spillovers;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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