Designing Just Transition Pathways: A Methodological Framework to Estimate the Impact of Future Scenarios on Employment in the French Dairy Sector

Aubert, Pierre; Gardin, Baptiste; Huber, Elise; Schiavo, Michele; Alliot, C.

doi:10.3390/agriculture11111119

Cited by 5 publications

(4 citation statements)

References 33 publications

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“…The framework developed by Aubert et al (2021) for the ecological transition of the French dairy sector is in line with these considerations. Based on the requirements of the French National Low Carbon Strategy the authors devised two different scenarios.…”

Section: Problematising Agricultural Digitalisation From a "Just Tran...mentioning

confidence: 76%

“…Despite this, the possible social implications and changes to farmers' and farmworkers' conditions and livelihoods driven by digital transformation are still poorly discussed. This, as noted by Aubert et al (2021), can be partly comprehended as a lack of ecological macroeconomics frameworks for the agro-industrial sector able to capture the socioeconomic impacts of the transformation needed to bring it back within planetary boundaries. As a reaction to this gap, recently, a burgeoning discussion on just transition (henceforth JT) in agriculture has been established (Blattner, 2020;Moilanen, Alasoini, 2023;Kaljonen et al, 2023), based on the idea that a fair transition process is one that does not leave behind farmers and farmworkers and the communities concerned.…”

Section: Problematising Agricultural Digitalisation From a "Just Tran...mentioning

confidence: 99%

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Agricultural digitalisation and just transition: a framework for the analysis

Benegiamo,

Corrado,

Fama

2023

rea

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Digital agriculture is generally depicted as a new technological frontier allowing both the efficiency and sustainability of the agri-food sector to be increased through the introduction of innovative “green” and cost-effective solutions. However, there is still little empirical evidence on the wider environmental and socio-economic implications of ongoing agricultural digitalisation processes. The paper makes the point that the digitalisation of agriculture is a political and ecological process representing an important element of the uneven and combined patterns of the capitalist development of agriculture. At the same time, the practices that inform agricultural digitalisation are shaped by social, economic and environmental factors that change according to the context. Starting from these premises, the authors propose a critical framework for equipping empirical research on digital agriculture with a more comprehensive understanding of local contexts, while also retaining a wider political economy perspective inspired by the concept of “just transition”.

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Section: Problematising Agricultural Digitalisation From a "Just Tran...mentioning

confidence: 76%

Section: Problematising Agricultural Digitalisation From a "Just Tran...mentioning

confidence: 99%

Agricultural digitalisation and just transition: a framework for the analysis

Benegiamo,

Corrado,

Fama

2023

rea

View full text Add to dashboard Cite

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“…Simulation can help makers to assess the impact of interventions aimed at enhancing sustainability and resilience and how these interventions can subsequently impact fairness in food value chains. Fairness considerations are integral to the success of sustainability transitions since sustainable food consumption policies and intervention tools require the engagement and acceptance of key stakeholders including FVC actors [100]. In addition, power asymmetries in FVCs may contribute to resistance to change by actors with more power in the system thus hampering more transformative change down the line [101].…”

Section: Discussionmentioning

confidence: 99%

Conceptual System Dynamics and Agent-Based Modelling Simulation of Interorganisational Fairness in Food Value Chains: Research Agenda and Case Studies

et al. 2022

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System dynamics and agent-based simulation modelling approaches have a potential as tools to evaluate the impact of policy related decision making in food value chains. The context is that a food value chain involves flows of multiple products, financial flows and decision making among the food value chain players. Each decision may be viewed from the level of independent actors, each with their own motivations and agenda, but responding to externalities and to the behaviours of other actors. The focus is to show how simulation modelling can be applied to problems such as fairness and power asymmetries in European food value chains by evaluating the outcome of interventions in terms of relevant operational indicators of interorganisational fairness (e.g., profit distribution, market power, bargaining power). The main concepts of system dynamics and agent-based modelling are introduced and the applicability of a hybrid of these methods to food value chains is justified. This approach is outlined as a research agenda, and it is demonstrated how cognitive maps can help in the initial conceptual model building when implemented for specific food value chains studied in the EU Horizon 2020 VALUMICS project. The French wheat to bread chain has many characteristics of food value chains in general and is applied as an example to formulate a model that can be extended to capture the functioning of European FVCs. This work is to be further progressed in a subsequent stream of research for the other food value chain case studies with different governance modes and market organisation, in particular, farmed salmon to fillet, dairy cows to milk and raw tomato to processed tomato.

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“…An agent-based modelling captures the autonomous and interacting decision-making behaviour of the supply chain actors, while discrete-event simulation (DES) is employed to model the various production processes within the chain. Future scenarios for structural changes needed for the sustainable transition of food systems are described in [11]. A modelling exercise is applied to assess their effects on employment at the farm and processing industry levels in the French dairy sector.…”

mentioning

confidence: 99%