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Analisi lessico testuale delle ordinanze del Commissario Delegato alla ricostruzione in Emilia-Romagna: un contributo alla legge nazionale su emergenza e ricostruzione

Pasquale Pavone and Margherita Russo ()

Center for the Analysis of Public Policies (CAPP) from Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi"

Abstract: In the three years after the 2012 earthquake in Emilia-Romagna, through the enactment of more than 350 ordinances, the Commissioner has structured interventions to cope with emergency and reconstruction. The intense law-making, essential to fill a legal vacuum, has enabled to overcome the uncertainties of the difficult phase of recovery. There is agreement among experts that a large number of those ordinances was due to the absence of national rules governing the urgent intervention in case of natural disasters. On the push of actions taken in Emilia-Romagna, the Italian Parliament has reopened the debate on a national law on emergency after natural disasters. Through a systematic content analysis of the corpus of ordinances issued in EmiliaRomagna, in this paper we propose a contribution in drafting a law on emergency. Two main strands of analysis have been developed. In the first one, an automatic text analysis, supported by Taltac2, has provided inputs for a factor analysis and a cluster analysis of the thematic areas covered by the ordinances. Four main topics have been singled out: grant criteria and contributions; management of allocation of resources; urgent works for municipalities, schools and churches buildings; interventions to support population. Having associated each ordinance to one of the four topics, a temporal analysis of the issues addressed during the emergency and reconstruction phase highlights the sequence of actions that were undertaken in Emilia. In a second step, the set of terms characterizing each cluster it is used to obtain a redefinition of disjunctive classification towards a fuzzy multi-class.

Keywords: automatic classification; legislative corpus; clustering and network analysis; Law Making; Data Collection, Data analysis, computer software (search for similar items in EconPapers)
JEL-codes: K4 K39 C81 C88 R58 (search for similar items in EconPapers)
Pages: pages 28
Date: 2015-11
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