IDEAS home Printed from https://ideas.repec.org/p/rtv/ceisrp/494.html
   My bibliography  Save this paper

A Human Capital Index for the Italian Provinces

Author

Abstract

Good health conditions and high quality education are crucial for children development and for their future contribution to the society. Human capital has been recognized as one of the crucial engines of economic growth. Nonetheless, it is often hard to establish a metric that allows to monitor its evolution and contribute to assess the effects of policies. In Italy, the use of such an index at national level may not be enough to have a clear picture of the human capital conditions. Socio-economic characteristics and public services are highly heterogeneous across the Country. There is, therefore, good ground to believe that also the human capital presents substantial differences across the Italian Provinces. To take such a high heterogeneity into consideration, we develop a Human Capital Index for Italy disaggregated at provincial level. The results show very large differences across Italian Provinces in terms of human capital, mostly driven by the variation in the quality of educational. Strikingly, the differences among Italian Provinces span a range that goes from best performers among high income countries to middle and low income countries. Finally, we classify the Italian Provinces in three main clusters according to their HCI and show how the clusters differ in terms of several socio-economic characteristics.

Suggested Citation

  • Alessandra Pasquini & Furio Camillo Rosati, 2020. "A Human Capital Index for the Italian Provinces," CEIS Research Paper 494, Tor Vergata University, CEIS, revised 17 Jun 2020.
  • Handle: RePEc:rtv:ceisrp:494
    as

    Download full text from publisher

    File URL: https://ceistorvergata.it/RePEc/rpaper/RP494.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Miles Corak, 2013. "Income Inequality, Equality of Opportunity, and Intergenerational Mobility," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 79-102, Summer.
    2. Filmer, Deon & Rogers, Halsey & Angrist, Noam & Sabarwal, Shwetlena, 2020. "Learning-adjusted years of schooling (LAYS): Defining a new macro measure of education," Economics of Education Review, Elsevier, vol. 77(C).
    3. Blane, D., 1995. "Social determinants of health--socioeconomic status, social class, and ethnicity," American Journal of Public Health, American Public Health Association, vol. 85(7), pages 903-905.
    4. Kraay,Aart C., 2018. "Methodology for a World Bank Human Capital Index," Policy Research Working Paper Series 8593, The World Bank.
    5. Giuseppe Folloni & Giorgio Vittadini, 2010. "Human Capital Measurement: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 248-279, April.
    6. Patrinos,Harry Anthony & Angrist,Noam, 2018. "Global Dataset on Education Quality : A Review and Update (2000-2017)," Policy Research Working Paper Series 8592, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Darlington Agbonifi & Daniele Cufari & Riccardo Magnani & Francesco Pecci & Federico Perali & Pasquale Lucio Scandizzo, 2023. "The Intra and Multi-Regional Impact of a Local PNRR Project using a Multi-Regional SAM Model of Italy," Working Papers 15, SITES.
    2. Touhami Abdelkhalek & Dorothée Boccanfuso, 2022. "Human Capital Index (HCI) – from uncertainty to robustness of comparisons," Applied Economics, Taylor & Francis Journals, vol. 54(28), pages 3246-3260, June.
    3. Barbara Dañska-Borsiak, 2023. "Human capital convergence in European NUTS 2 regions," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(2), pages 367-392, June.
    4. Darlington Agbonifi, 2023. "The dynamic approach of modelling regional recovery investment policies using environmentally-extended SAM Matrix," Working Papers 04/2023, University of Verona, Department of Economics.

    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. Guriev, Sergei & Treisman, Daniel, 2020. "A theory of informational autocracy," Journal of Public Economics, Elsevier, vol. 186(C).
    2. Touhami Abdelkhalek & Dorothée Boccanfuso, 2022. "Human Capital Index (HCI) – from uncertainty to robustness of comparisons," Applied Economics, Taylor & Francis Journals, vol. 54(28), pages 3246-3260, June.
    3. Ángel de la Fuente & Rafael Doménech, 2024. "Cross‐country data on skills and the quality of schooling: A selective survey," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 3-26, February.
    4. Demirgüç-Kunt, Asli & Torre, Iván, 2022. "Measuring human capital in middle income countries," Journal of Comparative Economics, Elsevier, vol. 50(4), pages 1036-1067.
    5. Crawfurd, Lee, 2021. "Accounting for repetition and dropout in contemporaneous cross-section learning profiles: Evidence from Rwanda," International Journal of Educational Development, Elsevier, vol. 85(C).
    6. Azevedo,Joao Pedro Wagner De & Goldemberg,Diana & Montoya,Silvia & Nayar,Reema & Rogers,F. Halsey & Saavedra,Jaime & Stacy,Brian William, 2021. "Will Every Child Be Able to Read by 2030 ? Defining Learning Poverty and Mapping the Dimensions of the Challenge," Policy Research Working Paper Series 9588, The World Bank.
    7. Campbell, Susanna G. & Üngör, Murat, 2020. "Revisiting human capital and aggregate income differences," Economic Modelling, Elsevier, vol. 91(C), pages 43-64.
    8. Michele Raitano & Francesco Vona & Claudia Vittori, 2015. "The effect of parental background along the son's earnings distribution : does one model fit for all?," Working Papers hal-03459749, HAL.
    9. Veenstra, Gerry & Vanzella-Yang, Adam, 2022. "Interactions between parental and personal socioeconomic resources and self-rated health: Adjudicating between the resource substitution and resource multiplication theories," Social Science & Medicine, Elsevier, vol. 292(C).
    10. Francesco Andreoli & Eugenio Peluso, 2016. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," Working Papers 21/2016, University of Verona, Department of Economics.
    11. Teixeira, Aurora A.C. & Tavares-Lehmann, Ana Teresa, 2014. "Human capital intensity in technology-based firms located in Portugal: Does foreign ownership matter?," Research Policy, Elsevier, vol. 43(4), pages 737-748.
    12. Naguib, Costanza, 2019. "Estimating the Heterogeneous Impact of the Free Movement of Persons on Relative Wage Mobility," Economics Working Paper Series 1903, University of St. Gallen, School of Economics and Political Science.
    13. Chong Lu, 2022. "The effect of migration on rural residents’ intergenerational subjective social status mobility in China," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3279-3308, October.
    14. Jeremy Greenwood & Nezih Guner & Guillaume Vandenbroucke, 2017. "Family Economics Writ Large," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1346-1434, December.
    15. Sauro Mocetti & Giacomo Roma & Enrico Rubolino, 2022. "Knocking on Parents’ Doors: Regulation and Intergenerational Mobility," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 525-554.
    16. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    17. Neidhöfer, Guido & Serrano, Joaquín & Gasparini, Leonardo, 2018. "Educational inequality and intergenerational mobility in Latin America: A new database," Journal of Development Economics, Elsevier, vol. 134(C), pages 329-349.
    18. Eunkyung Lee & Yeosun Yoon, 2022. "Heading Up or Stuck Down Here? The Effect of Perceived Economic Mobility on Subjective Social Status and Brand Identification," SAGE Open, , vol. 12(3), pages 21582440221, September.
    19. Dang, Hai-Anh H. & Serajuddin, Umar, 2020. "Tracking the sustainable development goals: Emerging measurement challenges and further reflections," World Development, Elsevier, vol. 127(C).
    20. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.

    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

    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:rtv:ceisrp:494. 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: Barbara Piazzi (email available below). General contact details of provider: https://edirc.repec.org/data/csrotit.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.