The aim of this paper is to present the first 16 coherent regional input-output tables for Poland, together with the methodology applied to their regionalization from the national level. On the basis of the tables – especially the use and trade tables aggregated to the 19 NACE sections – the structure as well as intra- and inter-regional trade is presented for all 16 NUTS2 regions. Based on the example of the R & D sector, the usefulness of the tables as an analytical tool is confirmed. Like in network analysis, the authors present the links and exchanges of this sector with other sectors of the regional economies in individual voivodships and between them. The regional input-output tables together with their methodology presented here is the first attempt, to the best knowledge of the authors, to publish methodologically coherent 16 input-output tables at NUTS2 level for Poland. They path the way for further research in such directions as: higher regional and sectoral disaggregation, application of the tables to the analysis of different regional economic policies in Poland, and for international comparisons.
Endogenous growth theories presume knowledge plays the key role in economic growth (1). Yet, new economic geography along with empirical findings suggest the possibility of divergence occurring in development processes (2). Combining (1) and (2) indicates the importance of studying knowledge factors’ distribution. To obtain the fully fledged picture of a given economy one shall go beyond simply analyzing knowledge factors but include also their spatial location. The article touches upon this issue. It is devoted to Germany and examines three territorial and administrative levels: one referring to former country division (DDR & BRD), the second relating to NUTS 1 (16 Bundesländer) and third represented by 41 Regierungsbezirke (NUTS 2). Results are obtained by investigating 5 factors (e.g. expenditure on R&D, human resources in S&T, patent applications) and applying 4 measures (Gini, Rosenbluth, Ellison–Glaeser and Herfindahl–Hirschman Coefficients). This paper is meant to supplement earlier studies as well as a good starting point for further research devoted to country’s knowledge landscape.
