Farmers' land‐use decision‐making: A dynamical modelling approach that integrates qualitative knowledge about social norms into a quantitative model
Abstract The concept of the homo oeconomicus is often used to model human behaviour in economic contexts. However, other factors like tradition or the preference to comply with social norms can play a role in decision‐making processes. To emphasize the need for incorporating non‐pecuniary values in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-08-01
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| Series: | People and Nature |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/pan3.10480 |
| _version_ | 1797755584654606336 |
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| author | Irina Vortkamp Frank M. Hilker |
| author_facet | Irina Vortkamp Frank M. Hilker |
| author_sort | Irina Vortkamp |
| collection | DOAJ |
| description | Abstract The concept of the homo oeconomicus is often used to model human behaviour in economic contexts. However, other factors like tradition or the preference to comply with social norms can play a role in decision‐making processes. To emphasize the need for incorporating non‐pecuniary values in economic models, we use data for participation in several agri‐environment schemes (AES) in Europe and show that dynamical patterns can not be simulated by models using the homo oeconomicus concept. The presented data show gradually increasing participation levels in AES even if payment levels are constant. Furthermore, low participation levels are sometimes observed despite appropriate incentive schemes. We propose and investigate a dynamic mathematical model to implement social norms in farmers' land‐use decision‐making in the face of AES. This socio‐economic model can help to explain the variety of observed behavioural patterns. It can generate multistable dynamics regarding the level of AES participation in the long‐term. We further assume that informative campaigns can modify farmers' perception of norms. Campaigns can have a stabilizing effect if strong enough. The attempt of this work is to gain a better understanding of how the integration of social human behaviour in economic models affects simulation patterns. Read the free Plain Language Summary for this article on the Journal blog. |
| first_indexed | 2024-03-12T17:48:23Z |
| format | Article |
| id | doaj.art-3aa549a59bbb42fea55b8dd2e5db1834 |
| institution | Directory Open Access Journal |
| issn | 2575-8314 |
| language | English |
| last_indexed | 2024-03-12T17:48:23Z |
| publishDate | 2023-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | People and Nature |
| spelling | doaj.art-3aa549a59bbb42fea55b8dd2e5db18342023-08-03T10:26:58ZengWileyPeople and Nature2575-83142023-08-01541147115910.1002/pan3.10480Farmers' land‐use decision‐making: A dynamical modelling approach that integrates qualitative knowledge about social norms into a quantitative modelIrina Vortkamp0Frank M. Hilker1Institute of Environmental Systems Research and Institute of Mathematics Osnabrück University Osnabrück GermanyInstitute of Environmental Systems Research and Institute of Mathematics Osnabrück University Osnabrück GermanyAbstract The concept of the homo oeconomicus is often used to model human behaviour in economic contexts. However, other factors like tradition or the preference to comply with social norms can play a role in decision‐making processes. To emphasize the need for incorporating non‐pecuniary values in economic models, we use data for participation in several agri‐environment schemes (AES) in Europe and show that dynamical patterns can not be simulated by models using the homo oeconomicus concept. The presented data show gradually increasing participation levels in AES even if payment levels are constant. Furthermore, low participation levels are sometimes observed despite appropriate incentive schemes. We propose and investigate a dynamic mathematical model to implement social norms in farmers' land‐use decision‐making in the face of AES. This socio‐economic model can help to explain the variety of observed behavioural patterns. It can generate multistable dynamics regarding the level of AES participation in the long‐term. We further assume that informative campaigns can modify farmers' perception of norms. Campaigns can have a stabilizing effect if strong enough. The attempt of this work is to gain a better understanding of how the integration of social human behaviour in economic models affects simulation patterns. Read the free Plain Language Summary for this article on the Journal blog.https://doi.org/10.1002/pan3.10480agri‐environment schemescampaignsmultistabilityutility function |
| spellingShingle | Irina Vortkamp Frank M. Hilker Farmers' land‐use decision‐making: A dynamical modelling approach that integrates qualitative knowledge about social norms into a quantitative model People and Nature agri‐environment schemes campaigns multistability utility function |
| title | Farmers' land‐use decision‐making: A dynamical modelling approach that integrates qualitative knowledge about social norms into a quantitative model |
| title_full | Farmers' land‐use decision‐making: A dynamical modelling approach that integrates qualitative knowledge about social norms into a quantitative model |
| title_fullStr | Farmers' land‐use decision‐making: A dynamical modelling approach that integrates qualitative knowledge about social norms into a quantitative model |
| title_full_unstemmed | Farmers' land‐use decision‐making: A dynamical modelling approach that integrates qualitative knowledge about social norms into a quantitative model |
| title_short | Farmers' land‐use decision‐making: A dynamical modelling approach that integrates qualitative knowledge about social norms into a quantitative model |
| title_sort | farmers land use decision making a dynamical modelling approach that integrates qualitative knowledge about social norms into a quantitative model |
| topic | agri‐environment schemes campaigns multistability utility function |
| url | https://doi.org/10.1002/pan3.10480 |
| work_keys_str_mv | AT irinavortkamp farmerslandusedecisionmakingadynamicalmodellingapproachthatintegratesqualitativeknowledgeaboutsocialnormsintoaquantitativemodel AT frankmhilker farmerslandusedecisionmakingadynamicalmodellingapproachthatintegratesqualitativeknowledgeaboutsocialnormsintoaquantitativemodel |