Suchergebnisse

This paper provides a non-technical overview of NEG models dealing with policy issues. Considered policy measures include alternative categories of public expenditure, international tax competition, unilateral actions of protection/liberalisation, and trade agreements. The implications of public intervention in two-region NEG models are discussed by unfolding the impact of policy measures on agglomeration/dispersion forces. Results are described in contrast with those obtained in standard non-NEG theoretical models. The high degree of abstraction limits the applicability of NEG models to real world policy issues. We discuss in some detail two extensions of NEG models to reduce this applicability gap: the cases of multi-regional frameworks and firm heterogeneity.

This study presents a new firm- and project-level dataset containing data on over two million projects co-funded by the EU structural and cohesion funds in 25 EU member states during the programming period 2007-2013. Information on individual beneficiary firms and institutions is linked with business data of Bureau van Dijk's ORBIS database. Moreover, text mining techniques are applied to categorise the EU cohesion policy projects into fifteen thematic categories. Stylised facts reveal substantial regional heterogeneity in the distribution of funds to certain projects and beneficiaries (with respect to their size or industry). Furthermore, regional funds distribution differs across less developed and higher-income as well as urban and rural regions. In an econometric analysis, we control for project and firm characteristics that we expect to determine the single project's value, which is confirmed by the results. Nevertheless, there remains unexplained variation in individual project volumes, which differs systematically across countries.

This study introduces a new firm-level dataset containing over two million projects co-funded by the European Union's (EU) structural and Cohesion funds in 25 EU member states in the multi-annual financial framework 2007-2013. Information on individual beneficiary firms and institutions published by regional authorities is linked with business data from Bureau van Dijk's ORBIS database. Moreover, we show how modern text mining techniques can be used to categorise EU funded projects into fifteen thematic categories proposed by the European Commission. A first analysis of the dataset reveals substantial heterogeneity of beneficiaries and projects across and within countries. While in the majority of lagging regions the largest project expenditure is dedicated to transportation and energy infrastructure, in most other regions the major part is assigned to innovation and technological development as well as business (including SME) support. In an econometric analysis we control for project and firm characteristics and find that the highest single project values are associated with older beneficiary firms that are larger in size. Furthermore, the projects with topmost expenditure are carried out in Dutch and British regions.