The Sardinian regional operational programme 2007-2013 concerning the European Regional Development Fund (ERDF) (2007-2013 ROP-ERDF) respects the rules of the ERDF on the investments for territorial cohesion since it promotes their regional geographic concentration. These investments are evenly shared between large- and medium-size urban areas, and disadvantaged zones, as defined above. This paper analyzes the investment policies implemented by the Sardinian Region through the 2000-2006 ERDF-based part of the Regional Operational Programme (2000-2006 ROP-ERDF), in order to assess their effectiveness, in terms of expense efficiency, for urban areas and disadvantaged zones. The assessment of the expenditure efficiency of the 2000-2006 ROP-ERDF is very important to address the policies of the 2007-2013 ROP-ERDF in terms of geographic concentration. This essay develops a territorial taxonomy of the Sardinian cities based on the expenditure efficiency through a data mining technique, the Rough-Set Analysis (RSA). The essay proposes an analytical and interpretive approach which could be easily exported in other public planning processes, in order to define policies for territorial cohesion. This paper has four sections. The introductory section discusses a general framework for the territorial cohesion strategy of Sardinia. The second section defines a territorial taxonomy of the Sardinian cities referred to expense efficiency. This taxonomy is represented by means of a geographic information system. The third section analyzes, through statistics and data-mining, the expense efficiency phenomenon, and identifies some rules concerning correlations between expense efficiency and other regional geographic variables. The fourth section discusses the results, puts in evidence how important the intermix of geographical information systems and data-mining can be to analyze and represent the geography of the expenditure efficiency, and provides indications for future research.
Urban development in the context of the strategy for regional development of Sardinia, Italy
ZOPPI, CORRADO;LAI, SABRINA
2009-01-01
Abstract
The Sardinian regional operational programme 2007-2013 concerning the European Regional Development Fund (ERDF) (2007-2013 ROP-ERDF) respects the rules of the ERDF on the investments for territorial cohesion since it promotes their regional geographic concentration. These investments are evenly shared between large- and medium-size urban areas, and disadvantaged zones, as defined above. This paper analyzes the investment policies implemented by the Sardinian Region through the 2000-2006 ERDF-based part of the Regional Operational Programme (2000-2006 ROP-ERDF), in order to assess their effectiveness, in terms of expense efficiency, for urban areas and disadvantaged zones. The assessment of the expenditure efficiency of the 2000-2006 ROP-ERDF is very important to address the policies of the 2007-2013 ROP-ERDF in terms of geographic concentration. This essay develops a territorial taxonomy of the Sardinian cities based on the expenditure efficiency through a data mining technique, the Rough-Set Analysis (RSA). The essay proposes an analytical and interpretive approach which could be easily exported in other public planning processes, in order to define policies for territorial cohesion. This paper has four sections. The introductory section discusses a general framework for the territorial cohesion strategy of Sardinia. The second section defines a territorial taxonomy of the Sardinian cities referred to expense efficiency. This taxonomy is represented by means of a geographic information system. The third section analyzes, through statistics and data-mining, the expense efficiency phenomenon, and identifies some rules concerning correlations between expense efficiency and other regional geographic variables. The fourth section discusses the results, puts in evidence how important the intermix of geographical information systems and data-mining can be to analyze and represent the geography of the expenditure efficiency, and provides indications for future research.
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