A methodological approach to assess the contribution of risk management to resilience of EU farming systems

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The development of this methodological approach was inspired by the need to address the challlenges and risks facing the agricultural sector in Europe. Diverse and heterogeneous risks are inherent in European agriculture, especially those concerning environmental factors leading to losses in production, such as extreme climatic conditions, local weather extreme events and crop/animal diseases, most of them exacerbated by global climate warming. But there are also risks related to changes in trade policy, changing social preferences and market behaviours (i.e. volatility of prices, financial and macroeconomic factors, competition and connections to other sectors). Production losses and unfavourable market prices may unfold into a farms’ unfavourable income fluctuations, and as a final consequence, the farm closure. Unpredictable price movements, foremost changes in volatility, also discourage farmers to invest in productivity improvements that, in the long run, might improve the farm profitability and resilience.

 

Risk management becomes a necessary strategy for improving the ability of farming systems to cope with these economic, social, environmental and institutional challenges. The main assumption is that promoting and applying risk management strategies strengthen farming systems’ resilience.

The methodological approach has a two fold aim: i) to assess whether and to what extent risk management enables/constrains farming system resilience and ii) to address how risk management enables/constrains farming system resilience.

 

To achieve these objectives, a multi-stakeholder approach was followed considering two different regional scales:

  1. at the local level to involve stakeholders with experience and knowledge at the farming system level. For this purpose focus groups were held in 11 case study regions (11 farming systems) across Europe;
  2. at the European level to engage the participation of the stakeholders with experience and knowledge at the European level. A dedicated virtual co-creation platform was developed to enable the on-line participation of EU stakeholders across Europe.

 

As a result of this multi-stakeholder approach, more than 600 ideas on improving risk management strategies and 500 ideas explaining the risk management contribution to resilience have been provided by more than 80 stakeholders across Europe. Ideas were coded and categorised to reach conclusions on how to improve risk management and on the role of different actors in this context.

Relevance for monitoring and evaluation of the CAP

This methodological approach is very relevant for the ex ante and ex post evaluations.

For the ex ante, it can be used to assess the potential effects of risk management strategies on the resilience of farming systems and guide the selection of risk management interventions or the definition of the selection criteria or targeting mechanisms for risk management interventions that can maximise resilience.

For the ex post, it can be used to analyse the actions of different actors involved in risk management activities and how they have influenced resilience. It can help for the reflection of programme implementation and help to assess how risk management activities/tools have contributed to the resilience of farming systems.

 

The approach is a qualitative holistic approach that can be replicated in any context/region:

  • Multi-actor, inclusive of representatives of all relevant stakeholders at the case study level and EU level. It considers the roles and views of farmers, their associations, banks and financial institutions, cooperatives and value-chain actors.
  • Offers a heterogeneous view of EU agriculture, including different sectors, Member States, climates and institutional development.
  • Addresses policy multi-scales, considering the EU level and the national/regional levels of each case study.
  • Combines risk perceptions materialised as long-term pressures with expected shocks, giving the analysis a time dimension.
Last modification date: 
09/12/2021