Aspiration adaptation, poverty, and agricultural management: An agent-based modelling study

Authors

Teeuwen, Aleid Sunniva

Meyer, Markus A.

Mekonnen, Daniel Ayalew

Teferi, Ermias Tesfaye

Wassie, Solomon Bizayehu

Date Issued

Language

en

Type

Conference Paper

Access Rights

Limited Access

Usage Rights

Copyrighted; all rights reserved

Metadata

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Citation

Teeuwen, A.S.; Dou, Y.; Meyer, M.A.; Mekonnen, D.A.; Teferi, E.T.; Wassie, S.B.; Nelson, A. (2024) Aspiration adaptation, poverty, and agricultural management: An agent-based modelling study. In: Elsenbroich, C.; Verhagen, H. (eds.) Advances in Social Simulation. ESSA 2023. Springer Proceedings in Complexity. Cham (Switzerland): Springer. p. 217-233. ISBN: 978-3-031-57784-0

Permanent link to cite or share this item

https://hdl.handle.net/10568/151767

DOI

https://doi.org/10.1007/978-3-031-57785-7_17

Author ORCID identifiers

Ermias Teferi https://orcid.org/0000-0003-2279-7666

Contributes to SDGs

SDG 1 - No poverty

SDG 2 - Zero hunger

SDG 3 - Good health and well-being

SDG 10 - Reduce inequalities

SDG 17 - Partnerships for the goals

AGROVOC Keywords

poverty reduction; agricultural policies; households; technology adoption; household consumption; agricultural technology; behavioural responses; aspiration dynamics

Subjects

AGRICULTURE; GOVERNANCE; MODELING; POLICY

Organizations Affiliated to the Authors

Wageningen University & Research; International Center for Tropical Agriculture; Bahir Dar University; University of Twente; University of Applied Sciences Appollon; Anhalt University of Applied Sciences

CGIAR Action Areas

Systems Transformation

CGIAR Impact Areas

Nutrition, health and food security

Collections

Alliance Bioversity CIAT Conference Papers, Abstracts, and Proceedings
Alliance Research Lever 1: Food Environment and Consumer Behavior