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 search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. 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.
    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. 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.
    7. 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.
    8. 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.
    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. 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.
    2. 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.
    3. 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.
    4. Milazzo, Liselle, 2023. "From Home to Hogsmeade: A phenomenological study of liminoidity in media tourism," Annals of Tourism Research, Elsevier, vol. 103(C).
    5. 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.
    6. 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.
    7. 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.
    8. Kononovicius, Aleksejus, 2021. "Supportive interactions in the noisy voter model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    9. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    10. repec:spo:wpmain:info:hdl:2441/53r60a8s3kup1vc9l564k4686 is not listed on IDEAS
    11. 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.
    12. 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.
    13. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    14. Mishael Milaković & Simone Alfarano & Thomas Lux, 2010. "The small core of the German corporate board network," Computational and Mathematical Organization Theory, Springer, vol. 16(2), pages 201-215, June.
    15. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    16. Wang, Chengjin & Gao, Yudong & Li, Honggang, 2021. "Information interaction, behavioral synchronization and asset market volatility," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    17. Rahi, Joe El & Weeber, Marc P. & Serafy, Ghada El, 2020. "Modelling the effect of behavior on the distribution of the jellyfish Mauve stinger (Pelagia noctiluca) in the Balearic Sea using an individual-based model," Ecological Modelling, Elsevier, vol. 433(C).
    18. Lux, Thomas & Alfarano, Simone, 2016. "Financial power laws: Empirical evidence, models, and mechanisms," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 3-18.
    19. Eric Brouillat & Maïder Saint Jean, 2020. "Mind the gap: Investigating the impact of implementation gaps on cleaner technology transition," Post-Print hal-03490256, HAL.
    20. Gunter M. Schutz & Fernando Pigeard de Almeida Prado & Rosemary J. Harris & Vladimir Belitsky, 2007. "Short-time behaviour of demand and price viewed through an exactly solvable model for heterogeneous interacting market agents," Papers 0801.0003, arXiv.org, revised Jun 2009.
    21. 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.

    More about this item

    Keywords

    Elderly; Museum pass; Engagement policies; Agent-based model;
    All these 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.