Towards sustainable crop protection in agriculture: A framework for research and policy

Agricultural Systems, Journal Year: 2024, Volume and Issue: 219, P. 104037 - 104037

Published: June 20, 2024

Language: Английский

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Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning

Ecological Modelling, Journal Year: 2024, Volume and Issue: 489, P. 110609 - 110609

Published: Jan. 22, 2024

Computational models have been used to investigate farmers' decision outcomes, yet classical economics assumptions prevail, while learning processes and adaptive behaviour are overlooked. This paper advances the conceptualisation, modelling understanding of learning-by-doing social learning, two key in (co-)management literature. We expand a pre-existing agent-based model (ABM) an agricultural social-ecological system, RAGE (Dressler et al., 2018). endow human agents with capabilities, we study impact their strategies on economic, ecological outcomes. Methodologically, contribute under-explored area behaviour. Results show that who employ better match decisions conditions than those do not. Imitating type successful further improves Different suited different goals. report under which becomes dominant population mixed approaches.

Language: Английский

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Quantifying the importance of farmers' behavioral factors in ex-ante assessments of policies supporting sustainable farming practices

Ecological Economics, Journal Year: 2024, Volume and Issue: 224, P. 108303 - 108303

Published: July 31, 2024

Behavioral factors have been identified to determine farmers' uptake of the adoption sustainable farming practices. However, coherent consideration empirically behavioral in ex-ante model-based policy assessments is still rare. This study presents an agent-based modelling framework that integrates empirical data on cognitive, social, and dispositional characteristics. Using this framework, we test quantify impact including agricultural policies aimed at promoting Thereby, apply same compare effectiveness results-based payments for climate change mitigation measures precision technologies two Swiss case studies. Our results indicate cognitive (e.g., reluctance change) reduce practices by 20–70% compared simulations using income maximization as underlying decision-making concept. In contrast, social can increase up 40%. We conclude allows improve context addition, these approaches highlight importance instruments complement traditional economic measures, such public support creation networks.

Language: Английский

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Action‐ versus results‐based policy designs for agricultural climate change mitigation

Applied Economic Perspectives and Policy, Journal Year: 2023, Volume and Issue: 46(3), P. 1010 - 1037

Published: May 17, 2023

Abstract Reducing agricultural greenhouse gas (GHG) emissions is key to achieve overall climate policy goals. Effective and efficient instruments are needed incentivize farmers' adoption of on‐farm change mitigation practices. We compare action‐ results‐based designs for GHG reduction in agriculture account heterogeneous behavioral characteristics such as individual farming preferences, reluctance social interactions. An agent‐based bio‐economic modeling approach used simulate total reduction, governmental spending farm‐level marginal abatement cost Swiss dairy beef cattle farms under both designs. find that associated with the compared depends on benefits considered measures well farmers. More precisely, if farmers reluctant change, additional incentives increase a win‐win measure. In case, targeting payment particular measure (action‐based design) instead paying uniform amount abated (results‐based can lower mitigation. Farm‐level reducing payments independent measures. Moreover, we preferences substantially hence potential farms.

Language: Английский

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A behavioural agent-based modelling approach for the ex-ante assessment of policies supporting precision agriculture

Ecological Economics, Journal Year: 2023, Volume and Issue: 212, P. 107936 - 107936

Published: July 11, 2023

Precision agriculture technologies can help reduce nitrogen losses and the associated negative environmental impacts. As adoption rate of such in small-scale farming systems is still low, additional policy measures are required to support their broader application. We provide an ex-ante assessment (payments for reduced nitrogen, subsidy technology or area subsidies) incentivize sensing site-specific fertilization with a specific focus on farmers' behavioural characteristics as reluctance change individual perception measures. combine bio-economic optimization model data from choice experiment, survey, census agent-based modelling framework. simulate impact decisions Swiss wheat production. Simulations suggest that same level reduction results-based payment (paying farmers nitrogen) 1.5 times more cost-efficient than area-based subsidies use. Our results also considering how perceive costs benefits decreases potential input by ∼20%. conclude disregarding factors instrument may result significant overestimation effect.

Language: Английский

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Does Social Learning Promote Farmers’ Cooperative Pest Control?—Evidence from Northwestern China

Agriculture, Journal Year: 2024, Volume and Issue: 14(10), P. 1749 - 1749

Published: Oct. 4, 2024

Pest management is pivotal for ensuring secure grain production and constitutes a fundamental strategy in combating pests that detrimentally affect supplies. Given the complexity dynamic nature of pests, it imperative farmers implement coordinated prevention control strategies. Such measures are essential to augment efficacy these efforts reduce risks posed by agricultural crops. This research involved survey 1205 households spanning three representative provinces Northwestern China. By employing an endogenous switching Probit model addressing sample selection bias, study investigates influence social learning on adoption cooperative pest strategies farmers. The findings indicate significantly enhances farmers’ measures. In counterfactual scenario, introducing previously unexposed would result 10.3% increase likelihood adopting practices. Additionally, factors such as health status household head, income level, size land under critical determinants participation learning. differential access scientific, accurate, systematic information, coupled with resource disparities among farmers, can partially account varying average treatment effects observed different methods propensity adopt Furthermore, plays crucial role fostering establishing trust facilitating consensus decision-making, enhancing dissemination information.

Language: Английский

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Farmers' perceptions of permanent grasslands and their intentions to adapt to climate change influence their resilience strategy

Renewable Agriculture and Food Systems, Journal Year: 2024, Volume and Issue: 39

Published: Jan. 1, 2024

Abstract Climate change will increase average temperatures and the frequency intensity of summertime droughts; those shifts in turn affect forage production grassland-based livestock farms. Farmers accordingly likely have to implement adaptation strategies cope with effects climate change. We hypothesized that farmers' resilience would depend on (i) their intention adapt change, which partly results from previous risk exposure, (ii) how they perceive values disvalues multi-species permanent grasslands (PGs), (iii) both aforementioned factors vary according geographical context each farm. carried out 15 semi-structured interviews dairy cattle farmers French Massif Central; farms were distributed along a range climatic topographic conditions. used Model Proactive Private Adaptation Change analyze individual process adaptation, Integrated Nature Futures Framework perception PGs, text analysis identify strategies. Nine felt already adapted or had plan place new adaptations future. observed straightforward relationships between these PGs choice strategy; varied, however, northern Central southern uplands highlighted considered be central adaption Conversely, lowlands mostly referred PGs; based temporary crops. Three believed posed significant risk, but foresaw little room maneuver. Despite acknowledging individuals did not intend use The final three change; reasoning stemmed either mindset fatalism acknowledged desire retire soon. Extreme events such as drought 2003 human intergenerational transmission farm can facilitate inhibit change-related adaptation. It is important take into account socio-psychological environmental when analyzing transition more change-resilient systems.

Language: Английский

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Mitigating greenhouse gas emissions on Dutch dairy farms. An efficiency analysis incorporating the circularity principle.

Agricultural Economics, Journal Year: 2023, Volume and Issue: 54(6), P. 819 - 837

Published: Oct. 30, 2023

Abstract Circular agriculture is vital to achieve a substantial reduction of greenhouse gas (GHG) emissions. Optimizing resources and land use are an essential circularity principle. The objective this article assess the extent which optimization can simultaneously reduce GHG emissions increase production on dairy farms. In addition, we explore potential under four different pathways. empirical application combines network Data Envelopment Analysis (DEA) with by‐production approach. This study focuses representative sample Dutch farms over period 2010–2019. Our results suggest that by both 5.1%. However, only 0.6% be attributed optimization. show average 25.3% total farm size should allocated cropland, 6.7% more than actual allocation. could reduced 11.79% without changing level inputs outputs. achieved catching up mitigation practices best performing peers.

Language: Английский

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Mitigating greenhouse gas emissions on Dutch dairy farms - integrated evidence from behavioural and efficiency models

Published: Jan. 1, 2024

Chapter 2 Dutch dairy farmers' adoption of climate mitigation measures -The role socio-psychological and socio-demographical factors 9 3 Mitigating greenhouse gas emissions on farms.An efficiency analysis incorporating the circularity principle 53 4 Socio-psychological socio-economic determinants environmental technical inefficiency for farming 85 5 2.1

Language: Английский

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Modeling adaptation strategies to climate change in prospect of agriculture

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 283 - 305

Published: Oct. 11, 2024

Language: Английский

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