Abstract:This article argues that the neoclassical era in economics has ended and is being replaced by a new era. What best characterizes the new era is its acceptance that the economy is complex, and thus that it might be called the complexity era. The complexity era has not arrived through a revolution. Instead, it has evolved out of the many strains of neoclassical work, along with work done by less orthodox mainstream and heterodox economists. It is only in its beginning stages. The article discusses the work that … Show more
“…Jeżeli kwestia poszukiwania nowego paradygmatu w ekonomii stanowi obecnie przedmiot szczególnego zainteresowania wykazywanego w szeregu publikacji naukowych (m.in. Beinhocker, 2006;Wojtyna, 2008;Jakimowicz, 2010;Roubini, Mihm, 2010;Holt, Rosser, Colander 2011;Mączyńska, 2011), to według jakich kryteriów należy definiować to pojęcie? Z reguły w kontekście pojęcia paradygmat dokonuje się odwołania do fundamentalnej pracy Kuhna The Structure of Scientific Revolutions.…”
Section: Koncepcja Paradygmatu Badań Rynku Nieruchomościunclassified
“…Jeżeli kwestia poszukiwania nowego paradygmatu w ekonomii stanowi obecnie przedmiot szczególnego zainteresowania wykazywanego w szeregu publikacji naukowych (m.in. Beinhocker, 2006;Wojtyna, 2008;Jakimowicz, 2010;Roubini, Mihm, 2010;Holt, Rosser, Colander 2011;Mączyńska, 2011), to według jakich kryteriów należy definiować to pojęcie? Z reguły w kontekście pojęcia paradygmat dokonuje się odwołania do fundamentalnej pracy Kuhna The Structure of Scientific Revolutions.…”
Section: Koncepcja Paradygmatu Badań Rynku Nieruchomościunclassified
“…6 The case that parts (at least) of the economy should be analysed as a complex system has also been made (see e.g. Ormerod, 1998;Mandelbrot & Hudson, 2008;Gabaix, 2009;Holt, Rosser, & Colander, 2010;Kirman, 2011;Arthur, 2013 matic way to exogenous, non-economic variables. It is not a stimulus-response model, but rather a largely self-driven one.…”
: A theory for a phenomenon needs to explain its main empirical features. In the case of modern economic growth, these include the times and places where it has occurred, its magnitude, the distinction between cutting-edge and catch-up growth, and the uniformity of the growth process despite major cultural and institutional heterogeneity. I summarise the historical record to characterise the explanandum, then review the main theoretical perspectives. I find that most leading theories fail to explain the main observed features of modern economic growth. In particular, the magnitude of growth and other key characteristics suggest the need for a systems analysis. An implication is that the economy is driven by interacting economic forces, rather than being merely reactive to external non-economic influences such as preferences and technology.
“…In this sense, complexity science provides new insights into the study of economic processes that are complex, self-organising and adaptive, with specific and with interconnected components or sectors, at both national and international scale (Holt et al 2011;Markose 2005;Rosser 1999). For example, global supply chains are characterised by interrelated organisations, resources and processes that create and deliver products and services to consumers in countries around the world.…”
Trade flows are characterised by interdependent economic networks such as the global supply chain, international bilateral agreements, trans-national credit, and foreign direct investments, as well as non-economic components (i.e. infrastructures, cultural ties and spatial barriers). We construct an Interdependent Multi-layer Model (IMM), which is rooted in the theoretical concept of spatial interaction, in order to identify the links within these networks and trace their impacts on trade flows. In our aim to investigate horizontal and vertical interdependency among networks we calibrate the interaction model (IMM) for a set of 40 countries, and thereafter examine the influence of shocks such as economic downturns upon the interdependent networks, which in our model are represented as economic, socio-cultural and physical layers. Most importantly, the model allows us to understand the propagation of cascading effects (both positive and negative) at national and global scales.
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