Multi-agent Modeling of Economic Innovation Dynamics and Its Implications for Analyzing Emission Impacts

Beckenbach, Frank; Briegel, Ramón

doi:10.1007/978-3-7908-2601-2_14

Cited by 6 publications

(6 citation statements)

References 30 publications

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“…andMansfield (1963). Another variante is rational choice models (see e.g Beckenbach, 2010)in Rennings, 1999) supports this evidence: Almost 80% of innovative companies contribute to environmental innovations.…”

mentioning

confidence: 79%

Foreign direct investments, energy efficiency, and innovation dynamics

Erdem

2012

Miner Econ

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mentioning

confidence: 79%

Foreign direct investments, energy efficiency, and innovation dynamics

Erdem

2012

Miner Econ

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“…In addition, we omitted papers that use models already described by studies in our sample and that analyze the same types of policies. As a result, of the following three pairs of related studies, we included only the first of each pair in the sample: Beckenbach et al (2018) and Beckenbach and Briegel (2010), Gerst, Wang, Roventini, et al (2013), Gerst, Wang, and Borsuk (2013), and Richstein et al (2014) and Chappin et al (2017). Our search procedure started in September 2018 and finished in January 2019.…”

Section: Search and Selection Of Studiesmentioning

confidence: 99%

A review of agent‐based modeling of climate‐energy policy

Castro

Drews

Exadaktylos

et al. 2020

WIREs Climate Change

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Agent‐based models (ABMs) have recently seen much application to the field of climate mitigation policies. They offer a more realistic description of micro behavior than traditional climate policy models by allowing for agent heterogeneity, bounded rationality and nonmarket interactions over social networks. This enables the analysis of a broader spectrum of policies. Here, we review 61 ABM studies addressing climate‐energy policy aimed at emissions reduction, product and technology diffusion, and energy conservation. This covers a broad set of instruments of climate policy, ranging from carbon taxation, and emissions trading through adoption subsidies to information provision tools such as smart meters and eco‐labels. Our treatment pays specific attention to behavioral assumptions and the structure of social networks. We offer suggestions for future research with ABMs to answer neglected policy questions. This article is categorized under: Climate Economics > Economics of Mitigation

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“…There are few sufficiently sophisticated agentbased models to deal with all these three aspects. Beckenbach and Briegel (2010), for example, limit themselves to the study of a generic production process, which is decomposed across different but not well-specified sectors. In a Schumpeterian setting, growth is triggered by firms' innovation and imitation strategies, and emission dynamics depends on two exogenous parameters governing the diffusion of lowcarbon innovations and their quality.…”

Section: Macro-climate Abmsmentioning

confidence: 99%

Complexity and the Economics of Climate Change: A Survey and a Look Forward

Balint

Lamperti

Mandel

et al. 2017

Ecological Economics

137

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We provide a survey of the micro and macro economics of climate change from a complexity science perspective and we discuss the challenges ahead for this line of research. We identify four areas of the literature where complex system models have already produced valuable insights: (i) coalition formation and climate negotiations, (ii) macroeconomic impacts of climate-related events, (iii) energy markets and (iv) diffusion of climate-friendly technologies. On each of these issues, accounting for heterogeneity, interactions and disequilibrium dynamics provides a complementary and novel perspective to the one of standard equilibrium models. Furthermore, it highlights the potential economic benefits of mitigation and adaptation policies and the risk of underestimating systemic climate change-related risks.

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Multi-agent Modeling of Economic Innovation Dynamics and Its Implications for Analyzing Emission Impacts

Cited by 6 publications

References 30 publications

Foreign direct investments, energy efficiency, and innovation dynamics

Foreign direct investments, energy efficiency, and innovation dynamics

A review of agent‐based modeling of climate‐energy policy

Complexity and the Economics of Climate Change: A Survey and a Look Forward

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