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Social Justice: Disparities in Average Earnings across Portuguese Municipalities

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  • Vítor João Pereira Domingues Martinho

    (Polytechnic Institute of Viseu (IPV), Agricultural School (ESAV) and CI&DETS, Viseu 3504-510, Portugal
    Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real 5000-801, Portugal)

Abstract

An ever-ongoing discussion these days involves the disparities in monthly earnings across different genders, geographical locations, levels of education, economic sectors, and skills and careers, with various economic and social consequences. In fact, in a framework such as that in which we live in nowadays (with pertinent concerns about economic and social convergences across several indicators), investigating these disparities would be interesting in order to complement the basis that is considered for the design of social policies. There are few studies considering the approaches here developed for this topic. The objective of this study is to analyse the disparities in the average monthly earnings received by employees across Portuguese mainland municipalities over the period 2004–2012, considering as additional analysis criteria geographical location, gender, levels of qualification, levels of education, economic sectors, professional activities, and further qualifications. For this both a cluster and factor analysis were considered to better identify municipalities with similar characteristics and correlations among variables. The results show that the disparities in the monthly average earnings between the Portuguese municipalities are related to three indexes associated with gender, qualifications, and chosen professions. The findings presented are specific to the Portuguese framework; however, the approaches developed in this study may be applied in other contexts to explore the dynamics related with the topic of social justice.

Suggested Citation

  • Vítor João Pereira Domingues Martinho, 2019. "Social Justice: Disparities in Average Earnings across Portuguese Municipalities," Social Sciences, MDPI, vol. 8(4), pages 1-17, April.
  • Handle: RePEc:gam:jscscx:v:8:y:2019:i:4:p:125-:d:224412
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    References listed on IDEAS

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    1. Tappeiner, Gottfried & Hauser, Christoph & Walde, Janette, 2008. "Regional knowledge spillovers: Fact or artifact?," Research Policy, Elsevier, vol. 37(5), pages 861-874, June.
    2. Rosalia Castellano & Gennaro Punzo & Antonella Rocca, 2018. "The generational perspective of gender gap in wages and education in southern Europe," Review of Social Economy, Taylor & Francis Journals, vol. 76(2), pages 227-258, April.
    3. Dorel N Manitiu & Giulio Pedrini, 2016. "Urban smartness and sustainability in Europe. An assessment of environmental, social and cultural domains," European Planning Studies, Taylor & Francis Journals, vol. 24(10), pages 1766-1787, October.
    4. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2017. "Structure of the labour market and wage inequality: evidence from European countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2191-2218, September.
    5. Laura de Dominicis & Raymond J.G.M. Florax & Henri L.F. de Groot, 2013. "Regional clusters of innovative activity in Europe: are social capital and geographical proximity key determinants?," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2325-2335, June.
    6. Perugini, Cristiano & Pompei, Fabrizio, 2016. "Employment protection and wage inequality within education groups in Europe," Journal of Policy Modeling, Elsevier, vol. 38(5), pages 810-836.
    7. Tim Goedemé, 2013. "How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(1), pages 89-110, January.
    8. J.M. Batista-Foguet & J. Fortiana & C. Currie & J.R. Villalbí, 2004. "Socio-economic Indexes in Surveys for Comparisons between Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 67(3), pages 315-332, July.
    9. Elizabeth Garnsey & Paul Heffernan, 2005. "High-technology clustering through spin-out and attraction: The Cambridge case," Regional Studies, Taylor & Francis Journals, vol. 39(8), pages 1127-1144.
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