IDEAS home Printed from https://ideas.repec.org/a/spr/epolit/v37y2020i1d10.1007_s40888-019-00157-5.html
   My bibliography  Save this article

Widening the gap: the influence of ‘inner areas’ on income inequality in Italy

Author

Listed:
  • Giovanni Gallo

    (University of Modena and Reggio Emilia
    National Institute for Public Policies Analysis)

  • Francesco Pagliacci

    (University of Modena and Reggio Emilia
    Università di Padova)

Abstract

Using administrative municipality-level data on fiscal declarations, we estimate the influence of ‘inner areas’ in the income distribution across Italy. To do that, we apply influence function regressions methods developed by Firpo et al. (Econometrica 77(3):953–973, 2009) to examine to what extent rurality and inner areas affect income inequality measures. Results highlight that inner areas have a positive effect in the Gini index, and a negative one in mean and median income. These effects are stable, in terms of magnitude, from 2012 to 2015. They hold even when controlling socioeconomic characteristics and region-level fixed effects. Impacts turn out to vary across Italian macro-regions.

Suggested Citation

  • Giovanni Gallo & Francesco Pagliacci, 2020. "Widening the gap: the influence of ‘inner areas’ on income inequality in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(1), pages 197-221, April.
    • Handle: RePEc:spr:epolit:v:37:y:2020:i:1:d:10.1007_s40888-019-00157-5
    DOI: 10.1007/s40888-019-00157-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40888-019-00157-5
    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/s40888-019-00157-5?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. Paolo Acciari & Sauro Mocetti, 2012. "The geography of income inequality in Italy," Politica economica, Società editrice il Mulino, issue 3, pages 307-343.
    2. Simona Iammarino & Andrés Rodriguez-Pose & Michael Storper, 2019. "Regional inequality in Europe: evidence, theory and policy implications," Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 273-298.
    3. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    4. Duangkamon Chotikapanich & D. S. Prasada Rao & Kam Ki Tang, 2007. "Estimating Income Inequality In China Using Grouped Data And The Generalized Beta Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(1), pages 127-147, March.
    5. Lewis Dijkstra & Enrique Garcilazo & Philip McCann, 2015. "The effects of the global financial crisis on European regions and cities," Journal of Economic Geography, Oxford University Press, vol. 15(5), pages 935-949.
    6. Bertolini, Paola & Pagliacci, Francesco, 2017. "Quality of life and territorial imbalances. A focus on italian inner and rural areas," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(2), September.
    7. John A. Bishop & Feijun Luo & Xi Pan, 2006. "Economic Transition And Subjective Poverty In Urban China," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(4), pages 625-641, December.
    8. Anthony Shorrocks & Guanghua Wan, 2005. "Spatial decomposition of inequality," Journal of Economic Geography, Oxford University Press, vol. 5(1), pages 59-81, January.
    9. Chung Choe & Philippe Van Kerm, 2018. "Foreign Workers and the Wage Distribution: What Does the Influence Function Reveal?," Econometrics, MDPI, vol. 6(3), pages 1-26, September.
    10. Francesco Pagliacci, 2017. "Measuring EU Urban-Rural Continuum Through Fuzzy Logic," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 108(2), pages 157-174, April.
    11. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
    12. Andrew K. Copus, 2001. "From Core-periphery to Polycentric Development: Concepts of Spatial and Aspatial Peripherality," European Planning Studies, Taylor & Francis Journals, vol. 9(4), pages 539-552, June.
    13. Andrew Copus & Patricia C Melo & Stefan Kaup & Gergely Tagai & Panagiotis Artelaris, 2015. "Regional poverty mapping in Europe – Challenges, advances, benefits and limitations," Local Economy, London South Bank University, vol. 30(7), pages 742-764, November.
    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. Graziella Bonanno & Filippo Domma & Lucia Errico, 2022. "Income Inequality And Inner Areas. A Study On The Italian Case," Working Papers 202203, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    2. Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.

    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. Hwang, Seokchae & Choe, Chung & Choi, Koangsung, 2021. "Population ageing and income inequality," The Journal of the Economics of Ageing, Elsevier, vol. 20(C).
    2. Gianpaolo Basile & Aurora Cavallo, 2020. "Rural Identity, Authenticity, and Sustainability in Italian Inner Areas," Sustainability, MDPI, vol. 12(3), pages 1-22, February.
    3. Bonacini, Luca & Gallo, Giovanni & Scicchitano, Sergio, 2020. "All that glitters is not gold. Effects of working from home on income inequality at the time of COVID-19," GLO Discussion Paper Series 541, Global Labor Organization (GLO).
    4. Gallo, Giovanni & Sconti, Alessia, 2023. "How much financial literacy matters? A simulation of potential influences on inequality levels," GLO Discussion Paper Series 1266, Global Labor Organization (GLO).
    5. Giovanni Gallo & Alessia sconti, 2023. "Could financial education be a universal social policy? A simulation of potential influences on inequality levels," Center for the Analysis of Public Policies (CAPP) 0182, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    6. Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.
    7. Vinko Muštra & Blanka Šimundić & Zvonimir Kuliš, 2020. "Does innovation matter for regional labour resilience? The case of EU regions," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(5), pages 955-970, October.
    8. Wang, Zheng-Xin & Jv, Yue-Qi, 2023. "Revisiting income inequality among households: New evidence from the Chinese Household Income Project," China Economic Review, Elsevier, vol. 81(C).
    9. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    10. Cécile Couharde & Rémi Generoso, 2024. "Assessing the Impact of National Air Quality Standards on Agricultural Land Values: Insights from Corn and Soybean Regions," Working Papers hal-04503777, HAL.
    11. Martínez-Iriarte, Julián & Montes-Rojas, Gabriel & Sun, Yixiao, 2024. "Unconditional effects of general policy interventions," Journal of Econometrics, Elsevier, vol. 238(2).
    12. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    13. Juan Jung & Enrique López-Bazo & Matteo Grazzi, 2017. "“Internet and enterprise productivity:evidence from Latin America”," AQR Working Papers 201705, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    14. Cutrini, Eleonora & Mendez, Carlos, 2023. "Convergence clubs and spatial structural change in the European Union," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 167-181.
    15. Ivan Blečić & Arnaldo Cecchini & Emanuel Muroni & Valeria Saiu & Serafino Scanu & Giuseppe Andrea Trunfio, 2023. "Addressing Peripherality in Italy: A Critical Comparison between Inner Areas and Territorial Capital-Based Evaluations," Land, MDPI, vol. 12(2), pages 1-14, January.
    16. Schneck, Stefan, 2018. "The effect of self-employment on income inequality," Working Papers 05/18, Institut für Mittelstandsforschung (IfM) Bonn.
    17. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    18. GOH, Chor-ching & LUO, Xubei & ZHU, Nong, 2009. "Income growth, inequality and poverty reduction: A case study of eight provinces in China," China Economic Review, Elsevier, vol. 20(3), pages 485-496, September.
    19. Ekaterina Selezneva & Philippe Van Kerm, 2016. "A distribution-sensitive examination of the gender wage gap in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 21-40, March.
    20. Gergő Tóth & Zoltán Elekes & Adam Whittle & Changjun Lee & Dieter F. Kogler, 2022. "Technology Network Structure Conditions the Economic Resilience of Regions," Economic Geography, Taylor & Francis Journals, vol. 98(4), pages 355-378, August.

    More about this item

    Keywords

    Inner areas; Inequality; Unconditional quantile regressions; Poverty;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    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:epolit:v:37:y:2020:i:1:d:10.1007_s40888-019-00157-5. 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.