IDEAS home Printed from https://ideas.repec.org/p/udf/wpaper/2018047.html
   My bibliography  Save this paper

“Industria 4.0†: la valutazione d’impatto nel settore manifatturiero

Author

Listed:
  • Martina Capuano

Abstract

Il working paper ha come obiettivo quello di mostrare l’applicazione del moltiplicatore dell’output di Leontief nell’economia moderna come modo per stimare l’output potenzialmente producibile dalle imprese a seguito del Piano “Industria 4.0†. Nel lavoro viene proposta una applicazione matematica del modello di Leontief utile per valutare l’impatto che la policy avrà sulle industrie manifatturiere italiane grazie ai moltiplicatori dell’output calcolati a partire dalla tavola simmetrica Input - Output (SIOT) per l’anno 2013 da noi ottenuta dalle tavole supply and use dell’ISTAT.

Suggested Citation

  • Martina Capuano, 2018. "“Industria 4.0†: la valutazione d’impatto nel settore manifatturiero," Working Papers 2018047, University of Ferrara, Department of Economics.
    • Handle: RePEc:udf:wpaper:2018047
    as

    Download full text from publisher

    File URL: http://out.economia.unife.it/uploads/dip_deit/quaderni/2018047.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Skolka, Jiri, 1989. "Input-output structural decomposition analysis for Austria," Journal of Policy Modeling, Elsevier, vol. 11(1), pages 45-66.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alexandre Messa, 2012. "Structural Change in The Brazilian Economy in The 2000s," Discussion Papers 1770, Instituto de Pesquisa Econômica Aplicada - IPEA.
    2. Wolfgang Britz & Roberto Roson, 2019. "G-RDEM: A GTAP-Based Recursive Dynamic CGE Model for Long-Term Baseline Generation and Analysis," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 4(1), pages 50-96, June.
    3. Fernando Bermejo & Raúl del Pozo & Pablo Moya, 2021. "Main Factors Determining the Economic Production Sustained by Public Long-Term Care Spending in Spain," IJERPH, MDPI, vol. 18(17), pages 1-18, August.
    4. Lucas Wilfried Hahn-de-Castro, 2016. "Cambios en la producción sectorial de las regiones colombianas: Un análisis de descomposición estructural," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 10(2), pages 149-181, December.
    5. Hong, Jae Pyo & Byun, Jeong Eun & Kim, Pang Ryong, 2016. "Structural changes and growth factors of the ICT industry in Korea: 1995–2009," Telecommunications Policy, Elsevier, vol. 40(5), pages 502-513.
    6. Y. Ali, M. Ciaschini & R. Pretaroli & F. Severini & C. Socci, 2014. "Economic relevance of Tourism industry: the Italian case," Working Papers 72-2014, Macerata University, Department of Finance and Economic Sciences, revised Dec 2015.
    7. Alex R. Hoen & Machiel Mulder, 2003. "A decomposition analysis of the emission of CO2," ERSA conference papers ersa03p151, European Regional Science Association.
    8. Wolfgang Koller & Robert Stehrer, 2010. "Trade Integration, Outsourcing And Employment In Austria: A Decomposition Approach," Economic Systems Research, Taylor & Francis Journals, vol. 22(3), pages 237-261.
    9. Jianping Zha & Rong Fan & Yao Yao & Lamei He & Yuanyuan Meng, 2021. "Framework for accounting for tourism carbon emissions in China: An industrial linkage perspective," Tourism Economics, , vol. 27(7), pages 1430-1460, November.
    10. Alex Hoen & Machiel Mulder, 2003. "Explaining Dutch emissions of CO2; a decomposition analysis," CPB Discussion Paper 24.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Mette Wier, 1998. "Sources of Changes in Emissions from Energy: A Structural Decomposition Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 10(2), pages 99-112.
    12. Martin Lábaj & Karol Morvay & Martin Hudcovský, 2015. "Labour Elasticity in V4 countries: Structural decomposition analysis," Department of Economic Policy Working Paper Series 009, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    13. Wier, Mette & Hasler, Berit, 1999. "Accounting for nitrogen in Denmark--a structural decomposition analysis," Ecological Economics, Elsevier, vol. 30(2), pages 317-331, August.
    14. Michel Lioussis & Mònica Serrano, 2022. "Services trade contribution on global income generation (2000 - 2014) Abstract: This paper investigates the contribution of services trade to the variation of global income generation for the period o," UB School of Economics Working Papers 2022/423, University of Barcelona School of Economics.
    15. Rohman, Ibrahim Kholilul & Bohlin, Erik, 2014. "Decomposition analysis of the telecommunications sector in Indonesia: What does the cellular era shed light on?," Telecommunications Policy, Elsevier, vol. 38(3), pages 248-263.
    16. Martin Hudcovský & Martin Lábaj & Karol Morvay, 2017. "Employment Growth and Labour Elasticity in V4 Countries: Structural Decomposition Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(4), pages 422-437.
    17. Schluter, Gerald E. & Lee, Chinkook, 1996. "Changing Food Consumption Patterns, Their Effect On The U.S. Food System, 1972-1987: An Input-Output Perspective," Journal of Food Distribution Research, Food Distribution Research Society, vol. 27(2), pages 1-8, July.
    18. Rose, Adam, 1995. "Input-output economics and computable general equilibrium models," Structural Change and Economic Dynamics, Elsevier, vol. 6(3), pages 295-304, August.
    19. Magacho, Guilherme R. & McCombie, John S.L. & Guilhoto, Joaquim J.M., 2018. "Impacts of trade liberalization on countries’ sectoral structure of production and trade: A structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 70-77.
    20. Guilhoto, Joaquim J.M. & Hewings, Geoffrey J.D. & Sonis, Michael & Jiemin, Guo, 2001. "Research Note: Economic Structural Change Over Time: Brazil and the United States Compared," MPRA Paper 42539, University Library of Munich, Germany.

    More about this item

    Keywords

    Industry 4.0; impact evaluation; manufacturing industry; input – output tables; Leontief multiplier;
    All these keywords.

    JEL classification:

    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:udf:wpaper:2018047. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Alberto Benati (email available below). General contact details of provider: https://edirc.repec.org/data/deferit.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.