IDEAS home Printed from https://ideas.repec.org/a/fan/restre/vhtml10.3280-rest2007-003002.html
   My bibliography  Save this article

Analisi multivariate per la valutazione delle politiche di e-government nei Comuni dell'Emilia Romagna

Author

Listed:
  • Maria Adele Milioli
  • Sergio Zani
  • Marco Mancini
  • Dimitri Tartari
  • Andrea Cerioli

Abstract

Multivariate analysis for evaluation of e-government policies (by Marco Mancini, Maria Adele Milioli, Dimitri Tartari, Sergio Zani, Andrea Cerioli). Objectives Emilia-Romagna is a leading region in Europe on e-government applications. In this field it experienced the use of statistics as a key input to identify weak areas and to define policy priority. Thanks to the UnderStand project (European Regions UNDER way towards STANDard indicators for benchmarking information society) Emilia-Romagna has produced a set of indicators on ICT infrastructures, technology adoption, interactivity and quality of on-line public services, comparable at European level. This multivariate information is essential for the purpose of comparing local performances with respect to key e-government issues and for evaluating the impact of e-government policies. Major funding policies will be based on data gained through the UnderStand project, which need to be analyzed through integration of different data sources and application of appropriate multivariate statistical techniques. Methods and Results In this paper we present a cluster analysis of the municipalities of Emilia- Romagna, based on a set of back office and a set of front office indicators. Hierarchical and non-hierarchical clustering algorithms have been applied to each set of indicators to identify homogeneous groups of municipalities according to back and front office dimensions. The results have been compared to discover similarities between groups: the clusters of municipalities that are weak on ICT infrastructure and on interactivity of public services show good overlap and similarly for the strongest municipalities. Differences in e-government behaviour can be explained in terms of political and strategic attitudes. Conclusions The results of this paper show the importance of multivariate statistical methodology for the purpose of benchmarking the Information Society. Cluster analysis has been applied in the spirit of measuring for governing, as the ultimate goal of benchmarking is to provide policy makers with extensive information about the performance of e-government actions and policies.

Suggested Citation

  • Maria Adele Milioli & Sergio Zani & Marco Mancini & Dimitri Tartari & Andrea Cerioli, 2007. "Analisi multivariate per la valutazione delle politiche di e-government nei Comuni dell'Emilia Romagna," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2007(3), pages 7-24.
  • Handle: RePEc:fan:restre:v:html10.3280/rest2007-003002
    as

    Download full text from publisher

    File URL: http://www.francoangeli.it/riviste/Scheda_Rivista.aspx?IDArticolo=33036&Tipo=ArticoloPDF
    Download Restriction: Single articles can be downloaded buying download credits, for info: http://www.francoangeli.it/riviste/inglese_download_credit.asp

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:fan:restre:v:html10.3280/rest2007-003002. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Angelo Ventriglia). General contact details of provider: http://www.francoangeli.it/riviste/sommario.asp?IDRivista=142 .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.