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We apply a B‐VAR technique to 28 high‐income countries and 11 Euro area countries in 1999–2019 to analyze the causal relationships between centralization of capital measured in terms of network control and solvency conditions represented by the difference between GDP growth and interest rate. Results show a relationship that goes in two directions. First of all, divergent solvency conditions lead to an average increase in capital centralization and its greater convergence between countries. In turn, an average increase in capital centralization and its greater convergence produces a convergence of solvency conditions between countries. These outcomes are consistent for both groups of high‐income countries and Euro area countries. Finally, in the group of high‐income countries, we also note that an average deterioration in solvency conditions leads to a convergence of capital centralization between countries. [ABSTRACT FROM AUTHOR]

This paper investigates the effects of a retreat from global economic integration on the European regional production network for the period 2000–2010. We find that production has become increasingly fragmented, although the degree of heterogeneity across regions is substantial. This heterogeneity is also present in the direct and indirect effects of three different deglobalisation scenarios that we simulate. Our results show that deglobalisation generates winners and losers. Specifically, two groups of regions emerge; regions that would benefit from a return to a less integrated world, and regions that would instead gain from a strengthening of the European production network. [ABSTRACT FROM AUTHOR]

Several studies highlight that the method and the object of analysis of Agent‐Based models are in various respects in stark contrast to the prevailing neoclassical paradigm and therefore should be included in the traditions of alternative economic thought. In this paper, however, we show that distinctive features of the neoclassical theory can be found in most of the AB literature. Through a systematic review of most cited academic papers published in the period 1996–2019 and dedicated to Agent‐Based models, we show that a "neoclassical influence" can be detected in 61% of papers, while only 39% do not have links with the mainstream neoclassical approach. We also note that after the "great recession" started in 2008 the neoclassical influences on AB literature decline to a significant extent. [ABSTRACT FROM AUTHOR]