Agent-based modeling of the diffusion of environmental innovations — An empirical approach

By Nina Schwarz, A. Ernst. 2009

316 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/0d79876027843a1dd490ab7ca8b222a782bffe2d

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Citations in the corpus

An agent‐based model of farmer decision‐making and water quality impacts at the watershed scale under markets for carbon allowances and a second‐generation biofuel crop (2011, methodology): “The diffusion of the technology was also characterized by dividing the farmers into groups, with each group willing to adopt the technology only after a characteristic percentage of the population had done so. [18] Other examples of ABM applied to innovation diffusion include Schwarz and Ernst [200”
Environmental Policy Theory Given Bounded Rationality and Other-regarding Preferences (2011, background): “Similarly, Schwarz and Ernst (2009) combine empirical data with agent-based modeling in studying the diffusion of water-saving innovations in Germany.”
Transition failure: Understanding continuity in the automotive industry (2012, background): “The sources of such path dependency are thus at least partly in the social realm of the market or social behaviours in what might be termed cultural lock-in [42] — factors that equally are influential on the rate of diffusion of innovations [43].”
Agent-based simulation of innovation diffusion: a review (2011, methodology): “Schwarz and Ernst (2009) use TPB as a framework to model consumers’ decisions to adopt or reject water-saving innovations using two different kinds”
Theoretical foundations of human decision-making in agent-based land use models - A review (2017, background): “…de ﬁ ned as „ … the perceived ease or dif ﬁ culty of performing the behaviour re ﬂ ecting past experiences as well as anticipated impediments and obstacles ” (Ajzen, 1991, p. 188) which has been successfully exploited in an ABM describing the diffusion of technology (Schwarz and Ernst, 2009).”
Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics (2009, background): “More generally, the understanding of why some environmental technologies (or policies promoting them) fail or succeed, requires an understanding of the social dynamics underlyingpreference change, including suchmechanisms as peer pressure, imitation, status, conformity, etcetera [25].”
Middle-range theories of land system change (2018, background): “of planned behavior (Schwarz and Ernst, 2009), and theories from behavioral economics (Nyborg et al.”
Modeling The Diffusion Of Residential Photovoltaic Systems In Italy: An Agent-based Simulation (2013, methodology): “7 Source: Own illustration communication network thanks to a multi-attribute utility function (Zhao et al., 2011) weighted by adopter preferences according to different socio-economic classes (Schwarz and Ernst, 2009).”