This paper analyzes the impact of the European Union's Cohesion Policy on firm growth in the programming period 2007-13 in seven European countries. Results show that Cohesion Policy support promotes firm growth in size (value added and employment) more than in productivity. However, even when the policy is the same and similar projects and beneficiaries are considered, its effectiveness varies across different territorial contexts, among but also within countries. In several cases, the impact of grants on firm growth is larger in regions with lower income or scant endowments of territorial assets, most likely because firms in those regions cannot rely on external assets.

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.

The widespread use of composite indices has often been motivated by their practicality to quantify qualitative data in an easy and intuitive way. At the same time, this approach has been challenged due to the subjective and partly ad hoc nature of computation, aggregation and weighting techniques as well as the handling of missing data. Partially ordered set (POSET) theory offers an alternative approach for summarizing qualitative data in terms of quantitative indices, which relies on a computation scheme that fully exploits the available information and does not require the subjective assignment of weights. The present paper makes the case for an increased use of POSET theory in the social sciences and provides a comparison of POSET indices and composite indices (from previous studies) measuring the "stringency" of fiscal frameworks using data from the OECD Budget Practices and Procedures survey (2007/08). JEL Codes. C43, H60, E02, E62