Title: The LUISA-RHOMOLO combination for the evaluation of territorial impact of European policies
Authors: LAVALLE CARLODI COMITE FRANCESCOBATISTA E SILVA FILIPEDIUKANOVA OLGAVIZCAINO MARIA PILARBARANZELLI CLAUDIAPINTO NUNES NOGUEIRA DIOGO VASCOKOMPIL MERT
Publisher: ERSA Congress Proceedings
Publication Year: 2017
JRC N°: JRC107133
URI: https://az659834.vo.msecnd.net/eventsairwesteuprod/production-ersa-public/8dfdfed1157246d8b65ce8e9ab2316ea
http://publications.jrc.ec.europa.eu/repository/handle/JRC107133
Type: Articles in periodicals and books
Abstract: Recognition of the importance of the territorial dimension is at the core of the EU structural policies and has been since its inception. Public investments play an important role in affecting economic performance of regions by stimulating factor productivity improvements, productive capacity, capital accumulation, and creating complex spillover effects. Growth and job creation depend on the capacity to make the best use of all territorial assets and to build links with other territories to ensure that common assets are used in a coordinated and sustainable way. For example, the analysis of the national, regional and urban dimensions of Europe 2020 shows that the performance within a single Member State can vary widely. Recognizing the need to measure and to predict the impacts of public policies, European Commission (specifically DG REGIO and DG JRC) has developed a number of computable multi-regional models (LUISA, CAPRI, JRC-EU-TIMES, RHOMOLO, GEM-E3). These models differ in structure and underlying assumptions, and can be used individually in order to respond to specific policy questions. In this paper, we discuss the ways of interaction, data and projections exchange between two EU territorial assessment models: the LUISA and the RHOMOLO models which are at the core of the Knowledge Centre for Territorial Policies. Such interaction would permit to align the base year data and models' assumptions, improve models' database, enrich evaluation of policy impacts, and widen the area of models' applicability, thus allowing to answer many important policy questions of regional development at the NUTS2 level. The work presented in this paper is in progress hence results and considerations herein discussed are of preliminary nature.
JRC Directorate:Growth and Innovation

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