Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics

By A. Faber, Koen Frenken. 2009

180 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/fc943dacfd7e042e72f880eed64ed1b82f11b261

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Karoline S. Rogge
2. Tobias S. Schmidt
3. V. H. Hoffmann
4. Joern Hoppmann
5. Malte H. G. Schneider
6. R. Merrill
7. Jaume Freire-González
8. René Kemp

In Management Science and Operations Research

1. Karoline S. Rogge
2. Tobias S. Schmidt
3. W. McDowall
4. René Kemp
5. Malte H. G. Schneider
6. R. Norgaard
7. V. H. Hoffmann
8. M. Peters

Citations in the corpus

• The relationship between green supply chain management and performance: A meta-analysis of empirical evidences in Asian emerging economies (2017, background): “Particularly China, Taiwan, India, Malaysia, Indonesia, Thailand, and South Korea need to improve their supply chains in all aspects (Faber and Frenken, 2009; Lai and Wong, 2012; Woo et al., 2014).”
• The two faces of market support—How deployment policies affect technological exploration and exploitation in the solar photovoltaic industry (2013, background): “…deployment policies have been recommended to create niche markets for environmental technologies where these technologies can advance without standing in direct competition with established technological regimes (Faber and Frenken, 2009; Kemp et al., 1998; Smith et al., 2005; Unruh, 2002).”
• Coevolutionary ecological economics (2010, background): “…environmental institutions (Hodgson, 2010-this issue), lock-in barriers and transition policies for the adoption of environmental technologies (Safarzynska and van den Bergh, in press; van den Bergh, 2007; Faber and Frenken, 2009) or the potential evolution of greener corporations (Porter, 2006).”
• The foundations of the environmental rebound effect and its contribution towards a general framework (2016, methodology): “…agent based modelling 291 (ABM), which is based on computational and microscale models that allow to capture emerging 292 properties of complex and adaptive systems through the simulation of the actions and interactions of 293 autonomous agents (Billari et al., 2006; Faber and Frenken, 2009).”
• The effects of climate policy on the rate and direction of innovation: a survey of the EU ETS and the electricity sector (2012, background): “Evolutionary approaches to technological change can help to open this black box and improve our understanding of what fosters technological transitions (Faber and Frenken, 2009; Rennings, 2000).”
• Implementation of a multi-agent environmental regulation strategy under Chinese fiscal decentralization: An evolutionary game theoretical approach (2019, background): “EGT has been increasingly employed in evolutionary economics and environmental policies (Faber and Frenken, 2009).”
• Lock-in and path dependence: an evolutionary approach to eco-innovations (2014, background): “socio-technical systems (Faber and Frenken 2009; Rennings et al. 2013; Zeppini and van den Bergh 2011); others study the potential of specific alternative technologies alongside the dominant one to transform the dominant technological regime (Janssen”