Details
| Original language | English |
|---|---|
| Qualification | Doctor rerum politicarum |
| Awarding Institution | |
| Supervised by |
|
| Date of Award | 20 Apr 2022 |
| Place of Publication | Hannover |
| Publication status | Published - 2022 |
Abstract
Keywords
- Decision-making, Agent-based Modelling, Adoption von Innovationen, Agentenbasierte Modellierung, Innovation Adoption, Agricultural Innovations, Entscheidungsfindung, Landwirtschaftliche Innovationen, Agroforstsysteme, Agroforestry
Sustainable Development Goals
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Hannover, 2022. 146 p.
Research output: Thesis › Doctoral thesis
}
TY - BOOK
T1 - Simulating Human Behaviour in Social-Ecological Systems
T2 - Farmers’ Adoption of Agricultural Innovations
AU - Nöldeke, Beatrice Christa Eleonore
N1 - Doctoral thesis
PY - 2022
Y1 - 2022
N2 - The agricultural sector faces major challenges to produce sufficient food for the world’s rising population. Addressing these challenges requires a transformation towards sustainable agriculture. Although sustainable agricultural practices such as agroforestry provide various benefits, small-scale farmers’ uptake of such practices can be very low in certain regions. Consequently, interventions are required that support farmers’ implementation and raise low adoption rates. Small-scale farmers’ adoption of sustainable agricultural practices and the underlying decision-processes constitute the core of this thesis. Overall, the thesis aims to support policy-makers in developing and implementing effective measures that encourage farmers to adopt innovative sustainable practices. The specific objectives are (1) to identify efficient information seeding strategies to disseminate agricultural knowledge within social networks, (2) compare common behavioural approaches to explain farmers’ adoption decisions, (3) identify intrinsic drivers based on the Theory of Planned Behaviour and evaluate the effectiveness of non-economic policy interventions targeting intrinsic motivational factors, and (4) assess the interrelated human-environmental consequences of farmers’ adoption decisions under different climate scenarios.
AB - The agricultural sector faces major challenges to produce sufficient food for the world’s rising population. Addressing these challenges requires a transformation towards sustainable agriculture. Although sustainable agricultural practices such as agroforestry provide various benefits, small-scale farmers’ uptake of such practices can be very low in certain regions. Consequently, interventions are required that support farmers’ implementation and raise low adoption rates. Small-scale farmers’ adoption of sustainable agricultural practices and the underlying decision-processes constitute the core of this thesis. Overall, the thesis aims to support policy-makers in developing and implementing effective measures that encourage farmers to adopt innovative sustainable practices. The specific objectives are (1) to identify efficient information seeding strategies to disseminate agricultural knowledge within social networks, (2) compare common behavioural approaches to explain farmers’ adoption decisions, (3) identify intrinsic drivers based on the Theory of Planned Behaviour and evaluate the effectiveness of non-economic policy interventions targeting intrinsic motivational factors, and (4) assess the interrelated human-environmental consequences of farmers’ adoption decisions under different climate scenarios.
KW - Decision-making
KW - Agent-based Modelling
KW - Adoption von Innovationen
KW - Agentenbasierte Modellierung
KW - Innovation Adoption
KW - Agricultural Innovations
KW - Entscheidungsfindung
KW - Landwirtschaftliche Innovationen
KW - Agroforstsysteme
KW - Agroforestry
U2 - 10.15488/12098
DO - 10.15488/12098
M3 - Doctoral thesis
CY - Hannover
ER -