Since its EU accession, Poland has invested strongly in the development of fast road transport network. As a result, the total length of modern, high-speed roads has increased from around 500 km in 2005 to over 3000 km in 2015. Yet, while the positive impact of transport infrastructure investment on overall accessibility is unquestionable there are no studies that assess its influence on economic development of particular regions. This paper applies a regional dynamic CGE model to measure the effects of big transport infrastructure investments in Polish NUTS2 regions. We use data on both investment spending and accessibility improvement (expressed as a reduction in transport margins) in order to distinguish between possible short and long term impacts. We find that there exist significant disparities in the impact between regions with high share of major road infrastructure investment undertaken by private investors and the ones that relied fully on public funding. In the case of the former, the lack of analyzed investment would lead to relatively significant decrease in real GDP or average employment. In the case of the latter, the impact of major road infrastructure investment is almost negligible.

This paper analyzes regional price differentials in Poland at the NUTS-2 and NUTS-3 levels. It applies unique raw-price data and calculates regional purchasing power parity (PPP) deflators for the 16 NUTS-2 regions. It then estimates PPP deflators for the 66 NUTS-3-level regions by applying the multiple imputation approach. Finally, it verifies whether these are intra- or interregional price inequalities that have a greater influence on the overall price inequality level. It is found that the price levels are significantly higher than the average in the better-developed regions and lower in the lagging ones. It is also found that it is the intra- rather than the interregion differentials that influence more the overall inequality level.

Spatial CGE models rely on detailed multiregional input–output (MRIO) tables. This paper compares two different approaches to compiling MRIO tables for Austria – an algorithm-based approach that regionalizes national input–output tables (IOT) and generates trade estimates using a predefined set of regional variables (i.e. Horridge’s algorithm), and a hybrid approach that uses as much regional and interregional data as possible. We investigate whether we observe differences in CGE simulation results that use them. Results from an aggregate simulation are surprisingly similar. So the algorithmic approach is, in fact, effective in making an MRIO from a national IOT. But noticeable differences appear at the sectoral level. They seem mainly due to differences in calibration rather than in regionalization.

The impact of European Union accession on regional income convergence within the Visegrad countries. Regional Studies. This paper applies regional dynamic computable general equilibrium (CGE) models to simulate the growth of regional per-capita income within the Visegrad group of countries. It shows how regional income differentials would evolve in the Czech Republic, Hungary, Poland and Slovakia if they did not join the European Union. We find that all regions would grow at a slower pace without European Union membership and that the European Union structural policies play a key role here. Finally, we prove the impact of accession on the evolution of regional income inequalities, although its magnitude differs significantly between countries.

This paper reconsiders the relationship between individual wages and regional market access. We focus on Poland – a country that has experienced profound changes in market accessibility over the last two decades, first as a consequence of European Union accession in 2004, and second as a result of the unprecedented development of the major road transport network. Using data over the period 2000–15 we find that the positive relationship between wages and regional market access disappears after 2004. At the same time, individual wages begin to be positively correlated with the market potential of Poland’s main trading partners.