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Title A percolation model of eco-innovation diffusion: The relationship between diffusion, learning economies and subsidies
ID_Doc 32797
Authors Cantono, S; Silverberg, G
Title A percolation model of eco-innovation diffusion: The relationship between diffusion, learning economies and subsidies
Year 2009
Published Technological Forecasting And Social Change, 76, 4
DOI 10.1016/j.techfore.2008.04.010
Abstract An obstacle to the widespread adoption of environmentally friendly energy technologies such as stationary and mobile fuel cells is their high upfront costs. While much lower prices seem to be attainable in the future due to learning curve cost reductions that increase rapidly with the scale of diffusion of the technology, there is a chicken and egg problem, even when some consumers may be willing to pay more for green technologies. Drawing on recent percolation models of diffusion, we develop a network model of new technology diffusion that combines contagion among consumers with heterogeneity of agent characteristics. Agents adopt when the price falls below their random reservation price drawn from a lognormal distribution. but only when one of their neighbors has already adopted. Combining with a learning curve for the price as a function of the cumulative number of adopters, this may lead to delayed adoption for a certain range of initial conditions. Using agent-based simulations we explore when a limited subsidy policy can trigger diffusion that Would otherwise not happen. The introduction of a subsidy policy seems to be highly effective for a given high initial price level only for learning economies in a certain range. Outside this range, the diffusion of a new technology either never takes off despite the subsidies, or the subsidies are unnecessary. Perhaps not coincidentally, this range seems to correspond to the values observed for many successful innovations. (C) 2008 Elsevier Inc. All rights reserved.
Author Keywords Innovation diffusion; Learning economies; Percolation; Networks; Heterogeneous agents; Technology subsidies; Environmental technologies
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Social Science Citation Index (SSCI)
EID WOS:000265517500005
WoS Category Business; Regional & Urban Planning
Research Area Business & Economics; Public Administration
PDF http://collections.unu.edu/eserv/UNU:372/wp2008-025.pdf
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