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Looking for Regional Convergence: Evidence from the Italian Case with Multivariate Adaptive Regression Splines

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Decision Economics: In the Tradition of Herbert A. Simon's Heritage (DCAI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 618))

Abstract

This paper examines the role of data mining analysis in explaining the Italian regional dualism with the aim of suggesting economic policies to fill the existing socio-economic gaps. We analyze the 2004–2014 period exploiting the capacity of MARS model in finding relationships among data. In Italy, the presence of a North-South divide is well-known for decades and present for several social and economic aspects. Recent studies prove that strong differences exist also in the regional human capital. Thus, we search for the causes of the local differences, also considering the entrepreneurial vitality and the international trade leverage. Among several variables, MARS is useful in showing the actual determinants on which to intervene. This is possible by comparing regions grouped homogeneously into clusters using recent data. MARS results are used for policy suggestions with the aim of filling the income gap.

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Authors and Affiliations

  1. Department of Philosophical, Pedagogical and Economic-Quantitative Sciences, Section of Economics and Quantitative Methods, University of Chieti-Pescara, Pescara, Italy

    Iacopo Odoardi & Edgardo Bucciarelli

  2. National Foundation of Accountants - Economics and Statistical Office, Rome, Italy

    Fabrizio Muratore

  3. Department of Economics, National Chengchi University, Taipei, Taiwan

    Shu-Heng Chen

Authors
  1. Iacopo Odoardi
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  2. Fabrizio Muratore
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  3. Edgardo Bucciarelli
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  4. Shu-Heng Chen
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Corresponding author

Correspondence to Iacopo Odoardi .

Editor information

Editors and Affiliations

  1. Department of Philosophical, Pedagogical, and Economic-Quantitative Sciences, Section of Economics and Quantitative Methods, University of Chieti-Pescara, Pescara, Italy

    Edgardo Bucciarelli

  2. Department of Economics, National Chengchi University, Taipei, Taiwan

    Shu-Heng Chen

  3. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    Juan M. Corchado

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Odoardi, I., Muratore, F., Bucciarelli, E., Chen, SH. (2018). Looking for Regional Convergence: Evidence from the Italian Case with Multivariate Adaptive Regression Splines. In: Bucciarelli, E., Chen, SH., Corchado, J. (eds) Decision Economics: In the Tradition of Herbert A. Simon's Heritage. DCAI 2017. Advances in Intelligent Systems and Computing, vol 618. Springer, Cham. https://doi.org/10.1007/978-3-319-60882-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-60882-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60881-5

  • Online ISBN: 978-3-319-60882-2

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