Participatory techniques are widely recognized as essential in addressing the challenges of agri-environmental policy and decision-making. Furthermore, it is well known that stakeholder analysis and social network analysis are useful methods in the identification of actors that are involved in a system and the connections between them. To identify key stakeholders and improve the transfer of information from national-to farm-level, we compared a stakeholder analysis with farmer-centric networks for primary productivity, carbon regulation and biodiversity through the case study of Latvia. Farmer-centric networks show a higher number of stakeholders communicating on the topic of primary productivity network comparing to other topics. We found three pathways for improving knowledge transfer in agri-environmental governance: horizontal strengthening of farming community, horizontal strengthening of policy departments, and vertical strengthening between policy departments and farmers. The first step is to ensure that policy-makers have a common understanding of the results that should be achieved. The second step is the transfer of know-how between farmers to develop new solutions. The third step is the training of advisers in the land multifunctionality and the strengthening of communication and knowledge transfer between policy departments and farmers in order to jointly achieve the desired direction at that national level. Long-term cooperation between many stakeholders, including knowledge transfer, the development and implementation of solutions, and monitoring are essential in order to adequately address global societal challenges. The application of our mixed methods approach to elucidate pathways for improved governance of knowledge and information is of direct relevance to other jurisdictions seeking to transition towards multifunctional and sustainable land management.

The European Green Deal policy will significantly affect the resilience and development of agriculture, which will be determined by the 2021–2027 Common Agricultural Policy (CAP) reforms, entering into force in 2023. Therefore, the European Commission determines that at least 25% of the direct payments should be earmarked for eco-schemes, while 35% of the funding for rural development should be allocated to climate and environmental support measures. Support payments constitute a significant part of farmers’ income and guide their decision-making for production development. Therefore, the goal of the research was set by analysing the existing CAP support payment system in 2019 to determine the possible impact of the reform envisaged for 2023 on farms of various specialisations and sizes in Latvia. The analysis revealed that in Latvia in 2019, 83% of the total number of farms received support, the amount of the support was EUR 5616 per year per farm on average, and within the Single Area Payment Scheme (SAPS), the support was higher by 24%. Among the funding recipient farms, the support accounted for 28% of the farms’ income, calculated per 1 hectare. The detailed calculations carried out indicate that the possible base support payments as a result of the CAP 2023 reform are expected to be higher specifically in cattle breeding and dairy farming, which may contribute to even greater greenhouse gas (GHG) emissions in the future and thus reduce the likelihood of achieving the goals of the European Green Deal policy.

Organic farming represents a paradigm that emphasises a balance between production and environmental sustainability. In the European Union (EU), organic farming has evolved into a global production system with harmonised standards and increasing market demand. Compared with conventional agriculture, it produces greater environmental benefits. The European Green Deal and the Farm to Fork (F2F) strategy highlight the role of organic farming in achieving the EU’s climate and environmental goals, aiming to use at least 25% of the total agricultural area for organic farming by 2030. This research assesses the contributions of Member States towards achieving the objectives of the European Green Deal and F2F strategy and increasing the number of organic farming areas in the future. The research assessed the performance of EU Member States during the period of 2018–2022 and for the projected period up to 2030, using indicators outlined in the Common Agricultural Policy (CAP) Strategic Plan. EU Member States were classified by their historical growth in organic farming areas and their required future performance to meet targets. The results showed that the increase in organic farming areas across the EU is a sign of a shift towards more sustainable farming, although performance varied among Member States. Overall, performance tended to improve in seventeen Member States, remained stable in nine, and declined in only one.

Agriculture in the 21st century faces complex global challenges, including rising food demand, resource depletion, and climate change. These pressures, however, also create opportunities to foster sustainability, enhance resource efficiency, and reduce reliance on synthetic pesticides. In response, the European Union (EU) adopted the European Green Deal in 2019, aiming for climate neutrality by 2050. The Farm to Fork (F2F) strategy sets a specific target: reducing chemical pesticide usage and its related risks by half by 2030. This study aims to assess the overall situation in the EU and the Member States' contributions to achieving the F2F objective of reducing pesticide use as well as risks at the policy level. A novel methodological approach was developed to assess Member State performance using a set of EU-defined indicators – such as Harmonised Risk Indicators (HRI 1 and HRI 2), pesticide sales data from Eurostat and FAOSTAT – and to classify countries into contribution-based groups. Findings reveal progress at the EU level: pesticide sales have declined and HRI 1 has dropped, but HRI 2 has increased. Significant variation among Member States was observed, highlighting the need for tailored policy actions. The study provides an innovative framework and practical insights for policymakers and stakeholders working toward sustainable agricultural transitions in the EU.

Today’s global food system (including production, transportation, processing, packing, storage, retail sale, consumption, losses and waste) provides income to more than a billion people all over the world and makes up a significant part of many countries’ economies. The 21st century’s food systems that bring food from “farm to fork” face various challenges, including a shortage of agricultural land and water, competition with the energy industry, changes in consumption preferences, a rising global population, negative effects of climate change, etc. Therefore, many countries are working on creating various models to function as an important decision support system tool for policymakers, farmers and other stakeholders. Various agricultural sector models see particularly extensive use in the European Union (EU), determining the impact of the Common Agricultural Policy (CAP) and helping to create future development scenarios. This is why a special model adapted to the national conditions, called LASAM (Latvian Agricultural Sector Analysis Model), was created in Latvia, making it possible to use historical data on the development of agricultural sectors, medium-term price projections for agricultural products in the EU, changes in support policy, as well as the necessity for the resources used to project the long-term (up to 2050) development of agriculture. The LASAM model covers the crop sector, the animal sector and the overall socioeconomic development, as well as the growth of organic farming and greenhouse gas (GHG) emissions. This paper discusses the main objectives achieved in developing a decision support tool and presenting the research results: LASAM was used to prepare projections of the possible development of Latvia’s principal sectors of agriculture until 2050, considering the necessity to reduce GHG emissions, made available through the LASAM web application. Given that the projection data obtained by LASAM are public, they can be used (1) for national policy making in rural business development, which affects the development of the economy as a whole; and (2) internationally, to compare the projections made in Latvia with those obtained through various agricultural sector models and projected development trends.