Skip to main content Accessibility help
×
  • Cited by 6
Publisher:
Cambridge University Press
Online publication date:
May 2021
Print publication year:
2021
Online ISBN:
9781108767798

Book description

Coevolution in economic systems plays a key role in the dynamics of contemporary societies. Coevolution operates when, considering several evolving realms within a socioeconomic system, these realms mutually shape their respective innovation, replication and/or selection processes. The processes that emerge from coevolution should be analyzed as being globally codetermined in dynamic terms. The notion of coevolution appears in the literature on modern innovation economics since the neo-Schumpeterian inception four decades ago. In this Element, these antecedents are drawn on to formally clarify and develop how the coevolution notion can expand the analytical and methodological scope of evolutionary economics, allowing for further unification and advance of evolutionary subfields.

References

Acemoglu, D. and Robinson, J. A. (2012). Why Nations Fail: The Origins of Power, Prosperity and Poverty. New York: Crown Publishing Group.
Adner, R. and Kapoor, R. (2010). Value creation in innovation ecosystems: How the structure of technological interdependence affects firm performance in new technology generations. Strategic Management Journal, 31(3), 306333.
Aghion, P. and Griffith, R. (2005). Competition and Growth. Cambridge, MA: MIT Press.
Aghion, P. and Howitt, P. (1998). Endogenous Growth Theory. Cambridge, MA: MIT Press.
Agrawal, R. (2018). Built: The Hidden Stories behind Our Structures. London: Bloomsbury Publishing.
Almudi, I. and Fatas-Villafranca, F. (2018). Promotion and co-evolutionary dynamics in contemporary capitalism. Journal of Economic Issues, 52(1), 80102.
Almudi, I., Fatas-Villafranca, F., Fernandez, C., Potts, J. and Vazquez, F. J. (2020). Absorptive capacity in a two-sector neo-Schumpeterian model: a new role for innovation policy. Industrial and Corporate Change, 29(2), 507531.
Almudi, I., Fatas-Villafranca, F. and Izquierdo, L. R. (2012). Innovation, catch-up and leadership in science-based industries. Industrial and Corporate Change, 21(2), 345375.
Almudi, I., Fatas-Villafranca, F. and Izquierdo, L. R. (2013). Industry dynamics, technological regimes and the role of demand. Journal of Evolutionary Economics, 23, 10731098.
Almudi, I., Fatas-Villafranca, F., Izquierdo, L. R. and Potts, J. (2017). The economics of utopia: A co-evolutionary model of ideas, citizenship and socio-political change. Journal of Evolutionary Economics, 27, 629662.
Almudi, I., Fatas-Villafranca, F., Jarne, G. and Sanchez, J. (2020). An evolutionary growth model with banking activity. Metroeconomica, 71(2), 392430.
Almudi, I., Fatas-Villafranca, F., Potts, J. and Thomas, S. (2018). Absorptive capacity of demand in sports innovation. Economics of Innovation and New Technology, 27(3), 115.
Almudi, I., Fatas-Villafranca, F. and Sanchez, J. (2016). A formal discussion of the Sarewitz-Nelson rules. Economics of Innovation and New Technology, 25, 714730.
Arrow, K. J. (1962a). Economic welfare and the allocation of resources for invention. 609–626. In Nelson, Richard R. (ed.), The Rate and Direction of Inventive Activity. Princeton: Princeton University Press.
Arrow, K. J. (1962b). The economic implications of learning by doing. Review of Economic Studies, 29(1), 155173.
Bloch, H. and Metcalfe, J. S. (2018). Innovation, creative destruction and price theory. Industrial and Corporate Change, 27(1), 113.
Bush, V. (1945). Science the Endless Frontier. Washington, DC: US Government Printing Office.
Bushan, B. (2017). Springer Handbook of Nanotechnology. Berlin: Springer.
Camprubi, L. (2014). Engineers and the Making of the Francoist Regime. Cambridge, MA: MIT Press.
Cantner, U., Savin, I. and Vannuccini, S. (2019). Replicator dynamics in value chains: Explaining some puzzles of market selection. Industrial and Corporate Change, 28(3), 589611.
Chai, A. and Baum, C. (eds.) (2019). Demand, Complexity and Long-Run Economic Evolution. Cham: Springer Nature.
Ciarli, T., Lorentz, A., Valente, M. and Savona, M. (2019). Structural changes and growth regimes. Journal of Evolutionary Economics, 29(1), 119176.
Cohen, W. M. and Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128152.
Davidson, S., De Filippi, P. and Potts, J. (2018). Blockchains and the economic institutions of capitalism. Journal of Institutional Economics, 14(4), 639658.
Delli Gatti, D., Fagiolo, G., Gallegati, M., Richiardi, M. and Russo, A. (2018). Agent-Based Models in Economics. New York: Cambridge University Press.
Denzau, A. T. and North, D. C. (2000). Shared mental models: Ideologies and institutions. 23–46. In Lupia, A., McCubbins, M. and Popkin, S. L. (eds.), Elements of Reason. New York. Cambridge University Press.
Dewey, J. (1927). The Public and Its Problems. Athens, OH: Swallow Press.
Dollimore, D. and Hodgson, G. M. (2014). Four essays on economic evolution: An introduction. Journal of Institutional Economics, 24(1), 110.
Dopfer, K. (ed.) (2005). The Evolutionary Foundations of Economics. Cambridge: Cambridge University Press.
Dopfer, K. and Potts, J. (2008). The General Theory of Economic Evolution. London: Routledge.
Dosi, G. and Orsenigo, L. (1988). Coordination and transformation: An overview of structures, behaviours and change in evolutionary environments. In Dosi, G., Freeman, C., Nelson, R. R., Silverberg, G. and Soete, L. (eds.), Technical Change and Economic Theory, 1337. London: Pinter.
Dosi, G., Fagiolo, G., Napoletano, M. and Roventini, A. (2013). Income distribution, credit and fiscal policies in an agent-based Keynesian model. Journal of Economic Dynamics and Control, 37(8), 15981625.
Dosi, G., Freeman, C., Nelson, R. R., Silverberg, G. and Soete, L. (eds.) (1988). Technical Change and Economic Theory. London: Pinter.
Dosi, G. and Grazzi, M. (2010). On the nature of technologies. Cambridge Journal of Economics, 34(1), 173184.
Dosi, G., Marengo, L. and Fagiolo, G. (2005). Learning in evolutionary environments. In Dopfer, K. (ed.), The Evolutionary Foundations of Economics, 255338. Cambridge: Cambridge University Press.
Dosi, G. and Nelson, R. R. (2010). Technical change and industrial dynamics as an evolutionary processes. In Hall, B. H. and Rosenberg, N. (ed.), Handbook of the Economics of Innovation, 51–127. Amsterdam: Elsevier.
Dosi, G. and Nuvolari, A. (2020). Introduction: Chris Freeman’s History, Coevolution and economic growth. An affectionate reappraisal. Industrial and Corporate Change, 29(4), 10211034.
Dosi, G., Pereira, M. and Virgillito, M. E. (2017). The footprint of evolutionary processes of learning and selection upon the statistical properties of industrial dynamics. Industrial and Corporate Change, 26(2), 187210.
Dosi, G. and Roventini, A. (2019). More is different and complex! The case for agent-based macroeconomics. Journal of Evolutionary Economics, 29(1), 137.
Earl, P. and Potts, J. (2013). The creative instability hypothesis. Journal of Cultural Economics, 37(2), 153173.
Earl, P. and Potts, J. (2016). The management of creative vision and the economics of creative cycles. Management and Decision Economics, 37(7), 474484.
Fatas-Villafranca, F., Férnández-Márquez, C. M. and Vázquez, F. J. (2019). Consumer social learning and industrial dynamics. Economics of Innovation and New Technology, 28(2), 119141.
Fatas-Villafranca, F., Jarne, G. and Sanchez, J. (2009). Industrial leadership in science-based industries: A co-evolution model. Journal of Economic Behavior and Organization, 72(1), 390407.
Fatas-Villafranca, F., Jarne, G. and Sanchez, J. (2012). Innovation, cycles and growth. Journal of Evolutionary Economics, 22(2), 207233.
Fatas-Villafranca, F., Jarne, G. and Sanchez, J. (2014). Stock and mobility of researchers and industrial leadership. Metroeconomica, 65(1), 95122.
Fatas-Villafranca, F., Sanchez, J. and Jarne, G. (2008). Modeling the co-evolution of national industries and institutions. Industrial and Corporate Change, 17(1), 65108.
Fatas-Villafranca, F., Saura, D. and Vazquez, F. J. (2007). Emulation, prevention and social interaction in consumption dynamics. Metroeconomica, 58(4), 582608.
Fatas-Villafranca, F., Saura, D. and Vazquez, F. J. (2009). Diversity, persistence and chaos in consumption patterns. Journal of Bioeconomics, 11(1), 4363.
Fatas-Villafranca, F., Saura, D. and Vazquez, F. J. (2011). A dynamic model of public opinion formation. Journal of Public Economic Theory, 13(3), 417441.
Fernández-Márquez, C. M., Fatas-Villafranca, F. and Vázquez, F. J. (2017a). Endogenous demand and demanding consumers: A computational approach. Computational Economics, 49(2), 307323.
Fernández-Márquez, C. M., Fatas-Villafranca, F. and Vázquez, F. J. (2017b). A computational consumer-driven market model: statistical properties and the underlying industry dynamics. Computational and Mathematical Organization Theory, 23(3), 319346.
Foray, D., David, P. and Hall, B. (2009). Smart specialization: The concept. In Knowledge for Growth. Brussels: European Commission.
Foster, J. and Metcalfe, J. S. (eds.) (2001). Frontiers of Evolutionary Economics. Cheltenham: Edward Elgar.
Freeman, C. (1987). Technology Policy and Economic Performance: Lessons from Japan. London: Pinter.
Freeman, C. (1988). Introduction. In Dosi, G., Freeman, C., Nelson, R. R., Silverberg, G. and Soete, L. (eds.), Technical Change and Economic Theory, 18. London: Pinter.
Gilboa, I. (ed.) (2004). Uncertainty in Economic Theory. London: Routledge.
Gordon, R. (2012). Is US economic growth over? Faltering innovation confronts the six headwinds. NBER Working Paper No. 18315.
Haldane, A. G. and Turrell, A. E. (2019). Drawing in different disciplines: Macroeconomic agent-based models. Journal of Evolutionary Economics, 29(1), 3966.
Hodgson, G. M. (2015). Conceptualizing Capitalism. Chicago. University of Chicago Press.
Hodgson, G. M. (2019). Evolutionary Economics: Its Nature and Future. Elements in Evolutionary Economics. Cambridge: Cambridge University Press.
Hodgson, G. M. and Knudsen, T. (2010). Darwin’s Conjecture. Chicago: University of Chicago Press.
Hofbauer, J. and Sigmund, K. (1998). Evolutionary Games and Population Dynamics. Cambridge: Cambridge University Press.
Jacobides, M. G., Cennamo, C. and Gawer, A. (2018). Toward a theory of ecosystems. Strategic Management Journal, 39(8), 22552276.
Kahneman, D. (2003). Maps of bounded rationality: Psychology for behavioral economics. American Economic Review, 93, 14491475.
Lippmann, W. (1922). Public Opinion. New York: Simon & Schuster.
Lipsey, R. G. (2018). A Reconsideration of the Theory of Non-linear Scale Effects. Elements in Evolutionary Economics. Cambridge: Cambridge University Press.
Lundvall, B. A. (1992). National Systems of Innovation: Toward a Theory of Innovation and Interactive Learning. London: Pinter.
Luppia, A., McCubbins, M. and Popkin, S. (eds.) (2000). Elements of Reason: Cognition, Choice and the Bounds of Rationality. New York: Cambridge University Press.
Malerba, F., Edquist, C. and Steinmueller, E. (eds.) (2004). Sectoral Systems of Innovation. New York: Cambridge University Press.
Malerba, F., Nelson, R. R., Orsenigo, L. and Winter, S. G. (2016). Innovation and the Evolution of Industries: History-Friendly Models. Cambridge: Cambridge University Press.
Markey-Towler, B. (2016). Law of the jungle: Firm survival and price dynamics in evolutionary markets. Journal of Evolutionary Economics, 26(3), 655696.
Markey-Towler, B. (2019). The competition and evolution of ideas in the market sphere: A new foundations for institutional theory. Journal of Institutional Economics, 15(1), 2748.
Martin, S. and Scott, J. (2000). The nature of innovation market failure and the design of public support for private innovation. Research Policy, 29(4), 437447.
Metcalfe, J. S. (1998). Evolutionary Economics and Creative Destruction. London: Routledge.
Metcalfe, J. S. (2010). Technology and economic theory. Cambridge Journal of Economics, 34(1), 153171.
Metcalfe, J. S., Foster, J. and Ramlogan, R. (2006). Adaptive economic growth. Cambridge Journal of Economics, 30(1), 732.
Montgomery, S. and Chirot, D. (2015). The Shape of the New. Princeton: Princeton University Press.
Muñoz, F. F., Encinar, M. I. and Cañibano, C. (2011). On the role of intentionality in evolutionary economic change. Structural Change and Economic Dynamics, 22(3), 193203.
Murmann, J. P. (2003). Knowledge and Competitive Advantage: The Coevolution of Firms, Technology and National Institutions. New York: Cambridge University Press.
Nelson, R. R. (1959). The simple economics of basic scientific research. Journal of Political Economy, 77, 297306.
Nelson, R. R. (ed.) (1962). The Rate and Direction of Inventive Activity. Princeton: Princeton University Press.
Nelson, R. R. (1982). The role of knowledge in R&D efficiency. Quarterly Journal of Economics, 97(3), 453470.
Nelson, R. R. (ed.) (1993). National Innovation Systems. Oxford: Oxford University Press.
Nelson, R. R. (1995). Recent evolutionary theorizing about economic change. Journal of Economic Literature, 33, 4890.
Nelson, R. R. (1988). Institutions supporting technical change in the United States. In Dosi, G., Freeman, C., Nelson, R. R., Silverberg, G. and Soete, L. (eds.), Technical Change and Economic Theory, 312–239. London: Pinter.
Nelson, R. R. (2008). Economic development from the perspective of evolutionary economic theory. Oxford Development Studies, 36(1), 921.
Nelson, R. R. (2012). Some features of research by economists foreshadowed by “The Rate and Direction of Inventive Activity.” In Lerner, J. and Stern, S. (eds.), The Rate and Direction of Inventive Activity Revisited, 3542. Chicago: University of Chicago Press.
Nelson, R. R. (2018). Modern Evolutionary Economics: An Overview. New York: Cambridge University Press.
Nelson, R. R. and Sampat, B. (2001). Making sense of institutions as a factor shaping economic performance. Journal of Economic Behavior and Organization, 44(1), 3154.
Nelson, R. R. and Winter, S. G. (1982). An Evolutionary Theory of Economic Change. Cambridge, MA: Harvard University Press.
North, D. C. (2005). Understanding the Process of Economic Change. Princeton: Princeton University Press.
Novak, M. (2018). Inequality: An Entangled Political Economy Perspective. London: Palgrave Macmillan.
Nowak, M. (2006). Evolutionary Dynamics. Cambridge, MA: Belknap Press.
Page, B. and Shapiro, R. Y. (1992). The Rational Public. Chicago: University of Chicago Press.
Potts, J. (2000). The New Evolutionary Microeconomics. Cheltenham: Edward Elgar.
Pretel, D. and Camprubi, L. (eds.) (2018). Technology and Globalization. Palgrave Studies in Economic History. London: Macmillan.
Pyka, A. (2017). Dedicated innovation systems to support the transformation towards sustainability. Journal of Open Innovation: Technology, Market, Complexity, 3(1), 27.
Pyrgidis, C. N. (2018). Railway Transportation Systems: Design, Construction and Operation. London: Taylor & Francis.
Rodrik, D. (2004). Industrial policy for the 21st century. Harvard University Working Paper No. RWP04-047.
Sandholm, W. (2010). Population Games and Evolutionary Dynamics. Cambridge, MA: MIT Press.
Sarewitz, D. and Nelson, R. R. (2008a). Three rules for technological fixes. Nature, 456, 871872.
Sarewitz, D. and Nelson, R. R. (2008b). Progress in know-how: Its origins and limits. Innovations: Technology, Governance, Globalization, 3(1), 101117.
Saviotti, P. P. and Pyka, A. (2004). Economic development by the creation of new sectors. Journal of Evolutionary Economics, 14(1), 135.
Saviotti, P. P. and Pyka, A. (2013). The coevolution of innovation, demand and growth. Economics of Innovation and New Technology, 22(5), 461482.
Schumpeter, J. A. (1942). Capitalism, Socialism and Democracy. New York: Harper & Row.
Shapiro, R. Y. and Jacobs, L. R. (1989). The relationship between public opinion and public policy. In Long, S. and (eds.), Political Behavior Annual, 1–50 . Boulder, CO: Westview.
Silverberg, G. and Soete, L. (eds.) (1994). The Economics of Growth and Technical Change. Aldershot: Edward Elgar.
Simon, H. (1955). A behavioural model of rational choice. Quarterly Journal of Economics, 69(1), 99118.
Simon, H. (1957). Models of Man. New York: Wiley.
Simon, H. (1991). Bounded rationality and organizational learning. Organization Science, 2(1), 125134.
Stachurski, J. (2016). A Primer in Econometric Theory. Cambridge, MA: MIT Press.
Stimson, J. A. (1991). Public Opinion in America: Moods, Cycles and Swings. Boulder, CO: Westview.
Trajtenberg, M. (2012). Can the Nelson-Arrow paradigm still be the beacon of innovation policy? In Lerner, J. and Stern, S. (eds.), The Rate and Direction of Inventive Activity Revisited, 679684. Chicago: University of Chicago Press.
Trevelyan, J. (1992). Robots for Shearing Sheep: Shear Magic. Oxford: Oxford University Press.
Urmetzer, S., Schlaile, M., Bogner, K., Muller, M. and Pyka, A. (2018). Exploring the dedicated knowledge base of a transformation towards a sustainable bioeconomy. Sustainability, 10(6), 1694.
Van den Bergh, J., Savin, I. and Drews, S. (2019). Evolution of opinions in the growth-vs-environment debate: Extended replicator dynamics. Futures, 109, 84100.
Vega-Redondo, F. (2007). Complex Social Networks. Cambridge: Cambridge University Press.
Weibull, J. W. (1995). Evolutionary Game Theory. Cambridge, MA: MIT Press.
Weidlich, W. (2006). Sociodynamics: A Systematic Approach to Mathematical Modeling in the Social Sciences. Mineola, NY: Dover Publications.
Wilson, D. S. and Kirman, A. (eds.) (2016). Complexity and Evolution. Cambridge, MA: MIT Press.
Winter, S. G. (1984). Schumpeterian competition in alternative technological regimes. Journal of Economic Behavior and Organization, 5(3), 287320.
Winter, S. G. (2014). The future of evolutionary economics: Can we break out from the beach headed? Journal of Institutional Economics, 10(4), 613644.
Witt, U. (2009). Novelty and the bounds of unknowledge in economics. Journal of Economic Methodology, 16(4), 361375.
Witt, U. (2014). The future of evolutionary economics: Why the modalities of explanation matter? Journal of Institutional Economics, 10(4), 645664.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(1), 333353.

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Book summary page views

Total views: 0 *
Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed.