Agent-Based Analysis of Industrial Dynamics and Paths of Environmental Policy: The Case of Non-renewable Energy Production in Germany

Beckenbach, Frank; Daskalakis, Maria; Hofmann, David C.

doi:10.1007/s10614-017-9773-6

Cited by 8 publications

(11 citation statements)

References 41 publications

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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%

“…Important ones in the first group are emission reduction (e.g., Tang et al, 2017), energy use reduction more directly (Hicks & Theis, 2014), and adoption and diffusion of low‐carbon/energy technologies (e.g., Ernst & Briegel, 2017; Kowalska‐Pyzalska, 2016; Silvia & Krause, 2016). The second group has a variety of additional policy objectives, such as reducing fossil fuel use while maintaining social welfare (Nannen & van den Bergh, 2010), reducing price volatility, total generation costs, and consumer expenditures (Richstein et al, 2014), economic efficiency (Beckenbach et al, 2018), or correcting market failures in the credit market (Monasterolo & Raberto, 2016). Other side‐objectives include minimizing distributive effects (Monasterolo & Raberto, 2018), encouraging employment (Rengs et al, 2020), maximizing long‐term benefits compared to short‐term costs (Ponta et al, 2016), or spurring technological innovation (Bleda & Valente, 2009; Isley et al, 2015).…”

Section: Climate Policies In the Reviewed Studiesmentioning

confidence: 99%

“…Safarzynska & van den Bergh, 2017a; 29. Beckenbach et al, 2018; 30. Isley et al, 2015; 31. van der Vooren & Brouillat, 2015; 32.…”

Section: Agents and Their Behavior In The Reviewed Studiesunclassified

“…Nonmarket interactions between firms tend to run through the channel of imitation: Heterogeneous firms explore different strategies and the most successful ones are imitated by the others (Beckenbach et al, 2018; Bleda & Valente, 2009; Gerst, Wang, Roventini, et al, 2013; Isley et al, 2015; Matsumoto, 2008; Rengs et al, 2020). For example, in Gerst, Wang, Roventini, et al (2013) and Beckenbach et al (2018), firms can split R&D expenditures between innovation and imitation. Both are considered to be risky strategies and not necessarily successful.…”

Section: Agents and Their Behavior In The Reviewed Studiesmentioning

confidence: 99%

“…Both are considered to be risky strategies and not necessarily successful. Imitation can be restricted only to happen between certain firms, depending on their technological similarity (Gerst, Wang, Roventini, et al, 2013) or their maturity (Beckenbach et al, 2018). Heterogeneous absorptive and imitation capacities across firms then influence the diffusion rate of a new low-carbon technology.…”

Section: Social Interactions and Networkmentioning

confidence: 99%

See 4 more Smart Citations

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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Section: Search and Selection Of Studiesmentioning

confidence: 99%

Section: Climate Policies In the Reviewed Studiesmentioning

confidence: 99%

“…Safarzynska & van den Bergh, 2017a; 29. Beckenbach et al, 2018; 30. Isley et al, 2015; 31. van der Vooren & Brouillat, 2015; 32.…”

Section: Agents and Their Behavior In The Reviewed Studiesunclassified

Section: Agents and Their Behavior In The Reviewed Studiesmentioning

confidence: 99%

Section: Social Interactions and Networkmentioning

confidence: 99%

See 3 more Smart Citations

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

Castro

Drews

Exadaktylos

et al. 2020

WIREs Climate Change

View full text Add to dashboard Cite

show abstract

Integrated sustainability policy assessment – an agent-based ecological-economic model

Geisendorf

Klippert

2022

J Evol Econ

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The paper proposes an agent-based evolutionary ecological-economic model that captures the link between the economy and the ecosystem in a more inclusive way than standard economic optimization models do. We argue that an evolutionary approach is required to understand the integrated dynamics of both systems, i.e. micro–macro feedbacks. In the paper, we illustrate that claim by analyzing the non-triviality of finding a sustainability policy mix as a use case for such a coupled system. The model has three characteristics distinguishing it from traditional environmental and resource economic models: (1) it implements a multi-dimensional link between the economic and the ecological system, considering side effects of production, and thus combines the analyses of environmental and resource economics; (2) following literature from biology, it uses a discrete time approach for the biological resource allowing for the whole range of stability regimes instead of artificially stabilizing the system, and (3) it links this resource system to an evolving, agent-based economy (on the basis of a Nelson-Winter model) with bounded rational decision makers instead of the standard optimization model. The policy case illustrates the relevance of the proposed integrated assessment as it delivers some surprising results on the effects of combined and consecutively introduced policies that would go unnoticed in standard models.

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Towards Better Computational Tools for Effective Environmental Policy Planning

Halkos

Tsilika

2019

Comput Econ

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Agent-Based Analysis of Industrial Dynamics and Paths of Environmental Policy: The Case of Non-renewable Energy Production in Germany

Cited by 8 publications

References 41 publications

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

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

Integrated sustainability policy assessment – an agent-based ecological-economic model

Towards Better Computational Tools for Effective Environmental Policy Planning

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