IDEAS home Printed from https://ideas.repec.org/a/mul/jkrece/doi10.1446-116284y2024i2-3p267-284.html
   My bibliography  Save this article

A proposal to measure the impact of culture for sustainable development

Author

Listed:
  • Fabio Bacchini
  • Roberto Iannaccone
  • Pietro A. Valentino

Abstract

The importance of culture as a multifaceted concept in fostering both human well-being and development sustainability has been increasingly recognized in recent literature and policy discussions. However, while the connections between culture and well-being, and those between culture and sustainability, have been studied separately, there remains a need for a more integrated approach that examines these relationships simultaneously. Such an approach would enable for the development of more comprehensive definitions and indicators. Our objective is to contribute to this debate by proposing a methodology suited to exploring the interplay among culture, well-being and sustainable over time. According to the available data, we propose the estimation of both a panel model and a dynamic factor mode thereby extending previous analysis, mainly based on cross-sectional data. By broadening the empirical evidence, our study provides an important contribution toward a comprehensive framework able to describe the implicit connections among these three dimensions.

Suggested Citation

  • Fabio Bacchini & Roberto Iannaccone & Pietro A. Valentino, 2024. "A proposal to measure the impact of culture for sustainable development," Economia della Cultura, Società editrice il Mulino, issue 2-3, pages 267-284.
    • Handle: RePEc:mul:jkrece:doi:10.1446/116284:y:2024:i:2-3:p:267-284
    as

    Download full text from publisher

    File URL: https://www.rivisteweb.it/download/article/10.1446/116284
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.rivisteweb.it/doi/10.1446/116284
    Download Restriction: no
    ---><---

    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. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    2. Christian Bjørnskov & Axel Dreher & Justina Fischer, 2008. "Cross-country determinants of life satisfaction: exploring different determinants across groups in society," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 30(1), pages 119-173, January.
    3. Bacchini Fabio & Baldazzi Barbara & De Carli Rita & Di Biagio Lorenzo & Savioli Miria & Sorvillo Maria Pia & Tinto Alessandra, 2021. "The Evolution of the Italian Framework to Measure Well-Being," Journal of Official Statistics, Sciendo, vol. 37(2), pages 317-339, June.
    4. Fabio Bacchini & Pietro Antonio Valentino, 2020. "Culture for a sustainable development: from theory to evidence," Economia della Cultura, Società editrice il Mulino, issue 3-4, pages 413-424.
    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. Stefania Capecchi & Carmela Cappelli & Maurizio Curtarelli & Francesca Iorio, 2023. "Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(6), pages 5713-5735, December.
    2. Juan Jos� Echavarr�a & Andr�s gonz�lez & Enrique L�pez & Norberto Rodr�guez, 2012. "Choques internacionales reales y financieros y su impacto sobre la econom�a colombiana," Borradores de Economia 9884, Banco de la Republica.
    3. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    4. Oxana Babecka Kucharcukova & Jan Bruha, 2016. "Nowcasting the Czech Trade Balance," Working Papers 2016/11, Czech National Bank, Research and Statistics Department.
    5. Aye, Goodness & Gupta, Rangan & Hammoudeh, Shawkat & Kim, Won Joong, 2015. "Forecasting the price of gold using dynamic model averaging," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 257-266.
    6. Nagayasu, Jun, 2010. "Macroeconomic interdependence in East Asia," Japan and the World Economy, Elsevier, vol. 22(4), pages 219-227, December.
    7. Chang, Jinyuan & Chen, Song Xi & Chen, Xiaohong, 2015. "High dimensional generalized empirical likelihood for moment restrictions with dependent data," Journal of Econometrics, Elsevier, vol. 185(1), pages 283-304.
    8. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    9. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    10. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    11. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    12. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    13. Tomohiro Ando & Ruey S. Tsay, 2009. "Model selection for generalized linear models with factor‐augmented predictors," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(3), pages 207-235, May.
    14. Bjornskov, Christian & Dreher, Axel & Fischer, Justina AV & Schnellenbach, Jan, 2009. "On the relation between income inequality and happiness: Do fairness perceptions matter?," MPRA Paper 19494, University Library of Munich, Germany.
    15. Patrick Bajari & Victor Chernozhukov & Ali Hortaçsu & Junichi Suzuki, 2019. "The Impact of Big Data on Firm Performance: An Empirical Investigation," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 33-37, May.
    16. Bhuiyan, Muhammad Faress & Ivlevs, Artjoms, 2019. "Micro-entrepreneurship and subjective well-being: Evidence from rural Bangladesh," Journal of Business Venturing, Elsevier, vol. 34(4), pages 625-645.
    17. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    18. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    19. Brzoza-Brzezina, Michał & Kotłowski, Jacek, 2009. "Bezwzględna stopa inflacji w gospodarce polskiej," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2009(9), September.
    20. Wang, Lu & Zhou, Ruichao & Wu, Jianhong, 2021. "Determining the number of breaks in large dimensional factor models with structural changes," Economics Letters, Elsevier, vol. 199(C).

    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:mul:jkrece:doi:10.1446/116284:y:2024:i:2-3:p:267-284. 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: the person in charge (email available below). General contact details of provider: https://www.rivisteweb.it/ .

    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.