IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0283277.html
   My bibliography  Save this article

Empirical investigation on how wellbeing-related infrastructure shapes economic growth: Evidence from the European Union regions

Author

Listed:
  • Larissa M Batrancea
  • Anca Nichita
  • Mehmet Ali Balcı
  • Ömer Akgüller

Abstract

One of the most important policies of the European Union is regional development, which comprises measures of enhancing economic growth and citizens’ living standards via strategic investment. Considering that economic growth and wellbeing are intertwined from the perspective of EU policies, this study examines the relationship between wellbeing-related infrastructure and economic growth in 212 NUTS 2 regional subdivisions across the members of Eu-28 during the period 2001–2020. We therefore analyzed data from 151 Western Europe regions and 61 Central and Eastern Europe regions by means of a panel data analysis with the first-difference generalized method of moments estimator. Our main interest was to determine the degree to which Western Europe regions responded to predictors as compared to Central and Eastern Europe regions. According to the empirical results, the predictors with the strongest influence for Western Europe regions were disposable household income, inter-regional mobility, housing indicator, labor force and participation. For Central and Eastern Europe regions, the largest impact was triggered by the housing indicator, internet broadband access and air pollution. In addition, we determined a relational weighted multiplex between all variables of interest by using dynamic time warping and we introduced topological measures in a multilayer multiplex model for both regional subsamples.

Suggested Citation

  • Larissa M Batrancea & Anca Nichita & Mehmet Ali Balcı & Ömer Akgüller, 2023. "Empirical investigation on how wellbeing-related infrastructure shapes economic growth: Evidence from the European Union regions," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-28, April.
    • Handle: RePEc:plo:pone00:0283277
    DOI: 10.1371/journal.pone.0283277
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0283277
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0283277&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0283277?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
    ---><---

    References listed on IDEAS

    as
    1. Antonio Ciccone & Marek Jarociński, 2010. "Determinants of Economic Growth: Will Data Tell?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 222-246, October.
    2. Ehsan Masood, 2022. "GDP is getting a makeover — what it means for economies, health and the planet," Nature, Nature, vol. 611(7935), pages 224-226, November.
    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. Antonio Ciccone & Marek Jarociński, 2010. "Determinants of Economic Growth: Will Data Tell?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 222-246, October.
    2. Yin‐Wong Cheung & Eiji Fujii, 2014. "Exchange Rate Misalignment Estimates—Sources Of Differences," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 19(2), pages 91-121, March.
    3. Jan Babecky & Tomas Havranek, 2013. "Structural Reforms and Growth in Transition: A Meta-Analysis," William Davidson Institute Working Papers Series wp1057, William Davidson Institute at the University of Michigan.
    4. Jerven, Morten, 2016. "Discrepancies: Why Do GDP Growth Rates Differ?," Review of Agrarian Studies, Foundation for Agrarian Studies, vol. 6(01), July.
    5. Isis Gaddis & Stephan Klasen, 2014. "Economic development, structural change, and women’s labor force participation:," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(3), pages 639-681, July.
    6. León-González, Roberto & Montolio, Daniel, 2015. "Endogeneity and panel data in growth regressions: A Bayesian model averaging approach," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 23-39.
    7. Hasan, Iftekhar & Horvath, Roman & Mares, Jan, 2020. "Finance and wealth inequality," Journal of International Money and Finance, Elsevier, vol. 108(C).
    8. Ley, Eduardo & Steel, Mark F.J., 2012. "Mixtures of g-priors for Bayesian model averaging with economic applications," Journal of Econometrics, Elsevier, vol. 171(2), pages 251-266.
    9. Olivier Damette & Mathilde Maurel & Michael A. Stemmer, 2016. "What does it take to grow out of recession? An error-correction approach towards growth convergence of European and transition countries," Post-Print halshs-01318131, HAL.
    10. Aart Kraay & Norikazu Tawara, 2013. "Can specific policy indicators identify reform priorities?," Journal of Economic Growth, Springer, vol. 18(3), pages 253-283, September.
    11. Christian Daude & Arne Nagengast & Jose Ramon Perea, 2016. "Productive capabilities: An empirical analysis of their drivers," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(4), pages 504-535, June.
    12. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    13. Brück, Tilman & Xu, Guo, 2012. "Who gives aid to whom and when? Aid accelerations, shocks and policies," European Journal of Political Economy, Elsevier, vol. 28(4), pages 593-606.
    14. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    15. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    16. repec:zbw:bofrdp:urn:nbn:fi:bof-201508211364 is not listed on IDEAS
    17. Jan Babecky & Tomas Havranek, 2014. "Structural reforms and growth in transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 22(1), pages 13-42, January.
    18. Johnson, Simon & Larson, William & Papageorgiou, Chris & Subramanian, Arvind, 2013. "Is newer better? Penn World Table Revisions and their impact on growth estimates," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 255-274.
    19. Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
    20. Andros Kourtellos, 2011. "Modeling parameter heterogeneity in cross-country regression models," University of Cyprus Working Papers in Economics 11-2011, University of Cyprus Department of Economics.
    21. N. R. Ramírez-Rondán & Marco E. Terrones & Andrea Vilchez, 2020. "Does financial sector development affect the growth gains from trade openness?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(3), pages 475-515, August.

    More about this item

    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:plo:pone00:0283277. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.