IDEAS home Printed from https://ideas.repec.org/a/spr/italej/v11y2025i1d10.1007_s40797-024-00270-w.html
   My bibliography  Save this article

Better Late than Never: Promoting Cultural Consumption Among the Elderly

Author

Listed:
  • Alessio Emanuele Biondo

    (University of Catania)

  • Flavia Coda Moscarola

    (University of Eastern Piedmont)

  • Roberto Zanola

    (University of Eastern Piedmont)

Abstract

Cultural activities are greatly beneficial to older individuals but, unfortunately, many still face significant barriers that limit their ability to enjoy the arts. To tackle this issue, we have analysed data from an Italian audience development and engagement program for seniors, which was implemented at local level. By using an agent-based model, we discuss the potential effectiveness of audience development policies before implementation. Our research shows that social policies aimed at promoting cohesion and creating personal relationships can significantly increase the success of such initiatives. Moreover, our findings underline the importance of implementing targeted policies and engaging key individuals to ensure that older people can access and enjoy cultural activities.

Suggested Citation

  • Alessio Emanuele Biondo & Flavia Coda Moscarola & Roberto Zanola, 2025. "Better Late than Never: Promoting Cultural Consumption Among the Elderly," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 11(1), pages 313-340, March.
  • Handle: RePEc:spr:italej:v:11:y:2025:i:1:d:10.1007_s40797-024-00270-w
    DOI: 10.1007/s40797-024-00270-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40797-024-00270-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40797-024-00270-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Lim, Sungkyu & Seetaram, Neelu & Hosany, Sameer & Li, Matthew, 2023. "Consumption of pop culture and tourism demand: Through the lens of herding behaviour," Annals of Tourism Research, Elsevier, vol. 99(C).
    2. Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
    3. Herbert Dawid & Michael Neugart, 2011. "Agent-based Models for Economic Policy Design," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 44-50.
    4. Leonardo Bargigli & Gabriele Tedeschi, 2013. "Major trends in agent-based economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 211-217, October.
    5. Mihaela Ghența & Aniela Matei & Luise Mladen-Macovei & Elen-Silvana Bobârnat, 2022. "Factors Associated with the Participation of Older Adults in Cultural and Sports Activities," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
    6. Ateca-Amestoy, Victoria & Serrano-del-Rosal, Rafael & Vera-Toscano, Esperanza, 2008. "The leisure experience," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(1), pages 64-78, February.
    7. van der Vaart, Elske & Johnston, Alice S.A. & Sibly, Richard M., 2016. "Predicting how many animals will be where: How to build, calibrate and evaluate individual-based models," Ecological Modelling, Elsevier, vol. 326(C), pages 113-123.
    8. Alfarano, Simone & Milakovic, Mishael, 2009. "Network structure and N-dependence in agent-based herding models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(1), pages 78-92, January.
    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. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    2. Kai Jäger, 2013. "Sources of Franco-German corporate support for the euro: The effects of business network centrality and political connections," European Union Politics, , vol. 14(1), pages 115-139, March.
    3. Kai Jäger, 2017. "Studies on Issues in Political Economy since the Global Financial Crisis," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 71, April.
    4. Jørgen Vitting Andersen & Ioannis Vrontos & Petros Dellaportas & Serge Galam, 2014. "Communication impacting financial markets," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00982959, HAL.
    5. David Vidal-Tomás & Simone Alfarano, 2020. "An agent-based early warning indicator for financial market instability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 49-87, January.
    6. Aaron D. Wood & Charles F. Mason & David Finnoff, 2025. "The development of OPEC: an evolutionary game theory and agent-based modeling approach," SN Business & Economics, Springer, vol. 5(7), pages 1-18, July.
    7. Milazzo, Liselle, 2023. "From Home to Hogsmeade: A phenomenological study of liminoidity in media tourism," Annals of Tourism Research, Elsevier, vol. 103(C).
    8. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    9. repec:spo:wpecon:info:hdl:2441/53r60a8s3kup1vc9l5643ehjk is not listed on IDEAS
    10. Xiong, Hang & Payne, Diane & Kinsella, Stephen, 2016. "Peer effects in the diffusion of innovations: Theory and simulation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 1-13.
    11. Grimm, Volker & Berger, Uta, 2016. "Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue," Ecological Modelling, Elsevier, vol. 326(C), pages 177-187.
    12. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2019. "Monetary policy and large crises in a financial accelerator agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 42-58.
    13. Emna Mnif & Anis Jarboui & M. Kabir Hassan & Khaireddine Mouakhar, 2020. "Big data tools for Islamic financial analysis," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 10-21, January.
    14. Peralta, Antonio F. & Khalil, Nagi & Toral, Raúl, 2020. "Ordering dynamics in the voter model with aging," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 552(C).
    15. Noeldeke, Beatrice & Winter, Etti & Ntawuhiganayo, Elisée Bahati, 2022. "Representing human decision-making in agent-based simulation models: Agroforestry adoption in rural Rwanda," Ecological Economics, Elsevier, vol. 200(C).
    16. Kononovicius, Aleksejus, 2021. "Supportive interactions in the noisy voter model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    17. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    18. repec:spo:wpmain:info:hdl:2441/53r60a8s3kup1vc9l564k4686 is not listed on IDEAS
    19. Nicolas Cofre & Magdalena Mosionek-Schweda, 2023. "A simulated electronic market with speculative behaviour and bubble formation," Papers 2311.12247, arXiv.org.
    20. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    21. Alfarano Simone & Milakovic Mishael, 2012. "Identification of Interaction Effects in Survey Expectations: A Cautionary Note," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-23, October.
    22. Michele Vodret & Iacopo Mastromatteo & Bence Tóth & Michael Benzaquen, 2023. "Microfounding GARCH models and beyond: a Kyle-inspired model with adaptive agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 599-625, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • Z1 - Other Special Topics - - Cultural Economics
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

    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:spr:italej:v:11:y:2025:i:1:d:10.1007_s40797-024-00270-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.