The article analyzes the impact of the EU–Japan Economic Partnership Agreement (EPA) on Poland’s economy. The authors investigate the effects of a bilateral elimination of customs duties on the economy using the Computable General Equilibrium framework and the GTAP database. The impact of the bilateral elimination of customs duties on GDP, production, trade and social welfare in Poland is examined and compared with other countries and regions. According to the research results, the EPA will bring positive impact on many aspects of Polish economy, but the effects in some other areas may be negative. Positive production and trade results are expected in some sectors, such as meat and animal products, leather and processed food, but some other sectors, such as motor vehicles and transport equipment, electronics and machinery, may experience a drop in output and export volumes. Total export value gains for Poland are estimated to be about USD 135 million, but in most sectors production will decrease, which may cause a loss in the real GDP.

This paper assesses the economic impact of the Japan-EU Economic Partnership Agreement (JEEPA) on all EU member states as well as Japan. The novelty of this study is that it refers to all EU countries and provides an overview of the expected output effects of JEEPA for all member states in a detailed sectoral breakdown. This impact is investigated using the Computable General Equilibrium (CGE) framework. Calculations revealed that economic returns from JEEPA vary among the EU countries. Some of the more highly developed EU countries will experience beneficial effects from tariff reductions to a greater extent than others, while some of the newer, less-developed EU members will experience losses, caused by the lower competitiveness of these countries. Beneficial effects in the EU countries are expected mainly in the primary sector industries like meat and animal products, leather, grains, and crops; while in Japan, economic gains are expected in the motor vehicle and transport equipment industries. Despite the overall optimism accompanying the signing of the JEEPA, it is worth paying attention to the sectors that are expected to shrink as a result.

Polityka wsparcia finansowego dla rodzin z dziećmi znana pod nazwą „Rodzina 500+” ma wielu zwolenników, jak i przeciwników. Celem artykułu nie jest ocena słuszności tej polityki, a analiza jej skutków dla gospodarki za pomocą obliczeniowego modelu równowagi ogólnej (CGE – ang. Computable General Equilibrium). Na potrzeby tego badania skonstruowano i skalibrowano standardowy model CGE dla jednego kraju przy użyciu oprogramowania GAMS. Na podstawie przeprowadzonej analizy można sformułować następujące wnioski o wpływie wprowadzenia programu „Rodzina 500+” na polską gospodarkę. Transfery socjalne spowodują wzrost konsumpcji, produkcji krajowej i importu. W ramach domknięcia modelu, zakładającego wzrost deficytu budżetowego – skutki te są silniejsze w porównaniu z domknięciem zakładającym wzrost dochodów budżetowych. Wpływ na inwestycje jest negatywny. Jednak wyniki symulacji zależą od zasad domknięcia bloku kapitałowego. Przy domknięciu neoklasycznym zakłada się, że inwestycje dostosowują się do oszczędności, a zatem wzrost konsumpcji wiąże się ze spadkiem oszczędności i stąd ze spadkiem inwestycji. Przy domknięciu keynesowskim inwestycje nie są uzależnione od poziomu oszczędności, więc wzrost wydatków rządowych nie doprowadzi do spadku inwestycji.

The Sustainable Development Goals (SDGs) cover different human and planet well-being areas, and their achievement is interdependent. Which of the goals are crucial and leading in this process is a question that often arises. Quality education is considered a cornerstone for all the SDGs. On the other hand, gender equality is very connected with other goals, as most of them have gender-specific indicators. Quality education and gender equality are two of the SDGs in the social dimension that can reinforce the achievement of all other SDGs. However, quantitative research on the relationship between these two phenomena, taking into account other factors, is rarely taken in the literature. This article aims to fill this gap and investigate the nature of the interconnectedness of quality education and gender inequality in selected countries. We also examined other factors (i.e., economic, political, and cultural) that may influence the education level, gender equality problems, and the relationship between them. The methodology used in the research is the propensity score method, and the data cover 153 countries in the world. The results confirm the undisputable relationship between the level of education and gender equality but also identify other factors influencing the variables of interest. These are GDP per capita, level of democracy, and major religion, to name a few. The influence of these factors differs in strength and direction.

PurposeCoopetition is ubiquitous in the economy, but managing effectively this type of relationship between firms remains a challenge for many organizations. This paper investigates the coopetition within corporate groups and focus on factors that determine the simultaneous competition and cooperation between subsidiaries therein.Design/methodology/approachDrawing on a dataset of 121 corporate groups listed on the Warsaw Stock Exchange (WSE), this paper theoretically advances and empirically validates the impact of 18 factors which determine the coopetition relationship.FindingsThis study's findings confirm the importance of an organizational design among external and internal drivers of intrafirm coopetition. However, the role of an environmental uncertainty as a driver of intrafirm coopetition is not proven. Furthermore, the paper finds that internal determinants explain the phenomenon of coopetition between subsidiaries within a corporate group more than determinants related to the environment.Originality/valueThe paper contributes to the coopetition theory by empirical identification of drivers of intrafirm coopetition and advances the corporate groups studies by exploring internal relationships (cooperation and competition) and the determinants therein.