Complexity theory and activity theory9/24/2023 ![]() ![]() R., Hartmann, D., Aristarán, M., Mendoza, M. Relatedness and technological change in cities: the rise and fall of technological knowledge in US metropolitan areas from 1981 to 2010. Mapping knowledge space and technological relatedness in US cities. Skill relatedness and firm diversification. How do regions diversify over time? Industry relatedness and the development of new growth paths in regions. Linking economic complexity, institutions, and income inequality. The building blocks of economic complexity. & Bar-Yam, Y.) 451–457 (Springer International Publishing, 2018). in Unifying Themes in Complex Systems IX (eds Morales, A. The product space conditions the development of nations. Complex landscapes in economic geography. The Origins of Order: Self-Organization and Selection in Evolution (Oxford Univ. Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Univ. Artificial adaptive agents in economic theory. The Origin of Wealth: Evolution, Complexity, and the Radical Remaking of Economics (Harvard Business School Press, 2006). Relatedness metrics can be unpacked into multiple channels (such as industry, occupation and location-specific knowledge) to understand the drivers of regional diversification.īeinhocker, E. Measures of economic complexity explain and predict international and regional variations in income, economic growth, income inequality, gender inequality and greenhouse emissions.Įconomic complexity methods have been validated by studies at multiple geographic scales (from countries to cities) and a variety of economic activities (products, industries, occupations, patents, research papers). Measures of relatedness - which estimate the affinity between economies and activities - anticipate changes in specialization patterns and explain labour market outcomes, such as income loss and unemployment.Įconomic complexity measures are reduced-dimensionality representations of specialization matrices that explain the geography of hundreds of economic activities. Economic complexity involves the use of machine learning and network techniques to predict and explain the economic trajectories of countries, cities and regions.
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