Supporting policymakers in designing agricultural policy instruments: A participatory approach with a regional bioeconomic model in La Réunion (France)

Dupré, Marie; Blazy, Jean-Marc; Michels, Thierry; Gal, Pierre-Yves Le

doi:10.1016/j.landusepol.2020.105128

Cited by 6 publications

(3 citation statements)

References 38 publications

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“…The advantage of coupling these tools and integrating them through bioeconomic modeling is that aggregating disciplinary knowledge in a system approach highlights the emerging properties of increasingly complex agricultural systems. In the implementation of these approaches, it is important to involve stakeholders in exploring a wide range of options and finding transition scenarios that are feasible and socially acceptable (Dupré et al, 2021;Salvini et al, 2016).…”

Section: A Contribution To the "Redesign Approach" Of Agricultural Sy...mentioning

confidence: 99%

Designing scenarios for upscaling climate-smart agriculture on a small tropical island

Selbonne¹,

Guindé²,

Belmadani³

et al. 2022

Agricultural Systems

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Section: A Contribution To the "Redesign Approach" Of Agricultural Sy...mentioning

confidence: 99%

Designing scenarios for upscaling climate-smart agriculture on a small tropical island

Selbonne¹,

Guindé²,

Belmadani³

et al. 2022

Agricultural Systems

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“…To assess the trade-offs between economic and environmental performance in organic farming, many studies have applied bio-economic farm models [16][17][18][19][20][21][22][23][24][25][26][27][28]. As discussed by Janssen and van Ittersum [11] and Reidsma et al [12], mathematical programming with a single economic objective has been the most popular technique in these studies (e.g., [16]), although a few models have simultaneously addressed both economic and environmental objectives [19,21,22,26].…”

Section: Introductionmentioning

confidence: 99%

Combined Application of a Multi-Objective Genetic Algorithm and Life Cycle Assessment for Evaluating Environmentally Friendly Farming Practices in Japanese Rice Farms

Masuda

2023

Sustainability

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When organic practices may have negative environmental effects, understanding the trade-offs between the economic and environmental outcomes of organic agriculture is essential in its promotion. This paper examines whether organic rice was planted in Japanese rice farms using the combined application of a multi-objective genetic algorithm and life cycle assessment. A modeled farm with 30 hectares (ha) of paddy fields is constructed using information from an agricultural management handbook. The planted crops considered are environmentally friendly rice with reduced use of chemical fertilizers and synthetic pesticides, organic rice, conventional wheat, and conventional soybeans. A bio-economic farm model with both economic and environmental objectives is created. The Pareto-optimal solutions indicate that the planted area of organic rice is 2.3 ha, at best, in the modeled farm. The cultivation of organic rice is likely to be constrained compared with that of environmentally friendly rice, and even though it produces an increase in income, it does not necessarily exert positive effects on the environment. The findings suggest that when organic farming has negative impacts, countermeasures against problems that emerge through its practice should be included in the essential requirements for subsidization.

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“…The result is that there is normally significant variability and uncertainty within the computationally complex analyses presenting a challenge when integrating these models into the policy making process [7]. Dupre et al [19] highlight the lack of involvement in the construction and use models that can form a major part of such analyses. These difficulties are exacerbated when acknowledging that decision makers are time pressured and seldom have the luxury of long-term research [7].…”

Section: Introductionmentioning

confidence: 99%

Modelling plant health for policy

Jones

Kleczkowski

2020

Emerging Topics in Life Sciences

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Plant health is relatively poorly funded compared with animal and human health issues. However, we contend it is at least as complex and likely more so given the number of pests and hosts and that outbreaks occur in poorly monitored open systems. Modelling is often suggested as a method to better consider the threats to plant health to aid resource and time poor decision makers in their prioritisation of responses. However, like other areas of science, the modelling community has not always provided accessible and relevant solutions. We describe some potential solutions to developing plant health models in conjunction with decision makers based upon a recent example and illustrate how an increased emphasis on plant health is slowly expanding the potential role of modelling in decision making. We place the research in the Credibility, Relevance and Legitimacy (CRELE) framework and discuss the implications for future developments in co-construction of policy-linked models.

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Supporting policymakers in designing agricultural policy instruments: A participatory approach with a regional bioeconomic model in La Réunion (France)

Cited by 6 publications

References 38 publications

Designing scenarios for upscaling climate-smart agriculture on a small tropical island

Designing scenarios for upscaling climate-smart agriculture on a small tropical island

Combined Application of a Multi-Objective Genetic Algorithm and Life Cycle Assessment for Evaluating Environmentally Friendly Farming Practices in Japanese Rice Farms

Modelling plant health for policy

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