A measure of economic development for regions is proposed in the form of a multicomponent index. This measure is composed of the following aspects: technology, infrastructure, human capital and social capital and defied by an array of indicators. Such a measure has significant advantages over the most commonly used indicator of GDP per capita. The statistical data based on which it is built are freely available and with a much shorter time lag than GDP at the regional level. This indicator makes it possible to depict economic factors behind long-run economic growth as well as to include less measurable factors such as social change, environmental degradation, etc. On the one hand, the proposed indicator comprises symptoms of the quality of life, and on the other hand, it includes factors which are essential for long-run economic growth and productivity. The authors show usefulness of such an indicator for policy formulation, which is rarely pointed out in the case of other indexes and is especially important at a time when long-run economic growth, and also development, in high-developed countries is endangered. The authors also discuss some general aspects of constructing indexes of economic development for regions, e.g., the often omitted problem of inclusion of cyclical indicators in the indexes of development. Empirical analysis of the proposed indicator is made for the NUTS-2 regions of Poland for the years 2009–2011.
The purpose of this study is to identify the determinants of innovation of enterprises in the Regional Innovation System context. We analyse factors that determine regional innovation in a less developed region, taking the Podkarpackie region in Poland as our empirical counterpart. We examine how the EU economic policy instruments influence the innovation of enterprises within the context of the Regional Innovation Systems. We propose a model for the implementation of innovations and test our hypotheses based on the data drawn from the period of 2011–2014. The paper provides insights on a rather successful story from Poland. We posit that enterprises use only specific public policy instruments and that companies’ demand for innovation-supporting instruments changes, reacting to the business cycle phase and to financial incentives.
The scale and structure of EU funds are one of the key determinants of Cohesion Policy impacts on socio-economic regional development, along with the magnitude of the Keynesian multiplier mechanism, spill-over elasticities, initial stocks of infrastructure, or human and physical capital. The aim of the paper is to analyze how changes in forecasts of Cohesion Policy public financial resources (available in NDPs & NSRFs) affect a counterfactual analysis of the Cohesion Policy impacts on the Polish NUTS-2 regional economies. On the basis of the financial data from the Polish Ministry of Infrastructure and Development which were made available in the years 2008?2013, simulations were carried out for the period 2004?2020 using 16 macroeconomic HERMIN models for the Polish regions. The results show that yearly forecast errors of the EU funds at the regional level account for up to 229%, and the forecast errors of allocations of the EU funds amount even to 32%. The inaccuracy of the forecasts of the EU payments and their volatility considerably distort the results of macroeconomic research of the Cohesion Policy impacts on development processes – even by 88% in the case of the yearly results, and by 49% in the case of cumulative results.
