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EN
In this paper, we test empirically for the increasing returns-based agglomeration and investigate the impact of the economic integration with the European Union on regional wage inequalities in Poland. In our study, we use the wage data for 16 Polish regions over the period of 1995-2009. Our results are consistent with the predictions of the core-periphery models of the New Economic Geography. In particular, we find that wages decrease as one moves away from the Mazowiecki capital region, as well as from the border with Germany.
EN
The main goal of the EU regional policy is obtaining cohesion. However, development strategies differ in terms of investment concentration. The paper presents the theoretical models of the regional policy, illustrated with a case study of Polish strategies. Using the spatial interactions model, the range of the diffusion of economic incentives was estimated. A dynamic analysis of 1996–2017 NUTS4 panel data enabled the assessment of the results of development strategies. The outcome was confirmed with the L-moments analysis of entrepreneurship distribution over time. The method covered the period of the highest efficiency of the cohesion policy. The author also made an attempt to mark out factors responsible for the failure of the smart policy in Poland. 
PL
Dążenie do spójności stanowi podstawę polityki regionalnej Unii Europejskiej. Kolejne edycje strategii rozwojowych różnią się jednak między sobą obszarami koncentracji inwestycji. W pracy dokonano przeglądu teoretycznych modeli polityki regionalnej oraz określono główne obszary zainteresowania kolejnych strategii spójnościowych na przykładzie Polski. Za pomocą ekonometrycznego modelu interakcji przestrzennych wyznaczono przestrzenny zasięg dyfuzji bodźców rozwojowych z centrów na peryferia. Dynamiczna analiza danych dla lat 1996–2017 pozwoliła na empiryczną ocenę realizacji strategii rozwojowych w Polsce, a jej wyniki potwierdziła analiza L-momentów rozkładu przedsiębiorczości. Wyznaczono okres najwyższej skuteczności polityki spójności. Podjęto również próbę wytypowania obszarów odpowiedzialnych za brak skuteczności polityki opartej na metodologii smart.
EN
Scholarly collaboration is relatively well described quantitatively on the macro level thanks to the analyses of large bibliographic databases. At the same time, there are known limitations of the bibliometric approaches to studying collaboration in science. We argue that in order to improve our understanding of social processes operating in science it is necessary to take a more in-depth look: (1) identify kinds of actors that are recognized as potential partners in collaboration, (2) what features of collaborative relations are considered crucial for engaged actors, (3) what kinds of structures of networks composed of collaboration relations actors are embedded in, and what PSR202-02factors influence these structures. With 30 individual in-depth interviews (IDI) with Polish scholars we gathered detailed information about individual collaborations that allowed us to analyze collaborative ties from individual perspective and map respondent-centered networks of collaboration. Scholars identify individuals as well as teams or institutions as collaborators. They also distinguish symmetric and asymmetric collaborations. Structures of respondent-centered collaboration networks are affected by (a) leadership strategies of team principals (especially whether teams are built around positions or individuals); (b) institutional location (by making establishing external collaborations easier for scientists from bigger institutions); (c) scientific degree and recent changes in financing of science (as young scientists receive more freedom from usual organizational hierarchies by receiving substantial grants).
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