A. Relevance and sustainability context
A.1 Policy relevance
The employment rate and female employment rate are core socio-economic indicators that captures the bioeconomy's contribution to overall labor market performance and prosperity. Especially the female employment rate adds a critical gender-equity dimension to bioeconomy monitoring. In the context of national bioeconomy monitoring, these indicators are particularly relevant for the following reasons:
Economic Contribution and Value Creation:
The employment rate reflects the extent to which bioeconomy sectors—such as agriculture, forestry, fisheries, food and feed production, and bio-based industries—generate and sustain jobs. Tracking employment allows policymakers to assess whether the transition toward a bio-based economy delivers on its promise of creating new economic opportunities and maintaining existing ones. The female employment rate in particular indicates whether the benefits of the bioeconomy are distributed equitably across genders.
Structural Transformation:
As economies shift from fossil-based to bio-based production systems, monitoring employment helps identify structural changes across value chains. This is essential for anticipating skill needs, retraining requirements, wage structures, and potential job displacement in declining sectors versus job creation in emerging ones (e.g., biotechnology, bio-refineries, circular bioeconomy). Female employment is monitored to detect underrepresentation and to inform targeted policies to improve women's access to bioeconomy jobs, entrepreneurship, and leadership roles.
Regional and Rural Development:
Many activities in the bioeconomy are rooted in rural regions. Employment indicators reveal the role of the bioeconomy in balancing regional disparities, sustaining rural livelihoods and preventing the depopulation of areas dependent on the primary sector. Female employment is a key driver of household income diversification, community stability and social cohesion.
Both indicators connect strongly to the European framework for bioeconomy monitoring. The European Commission's Bioeconomy Strategy (2012, updated 2018 and 2025) explicitly emphasizes jobs and inclusive growth as central objectives. Employment indicators at the national level feed into and remain comparable with the EU-wide assessment of bioeconomy performance.
The Joint Research Centre (JRC) operates the EU Bioeconomy Monitoring System, which uses a hierarchy of objectives and indicators. Employment—including gender-disaggregated employment—is part of the socio-economic dimension that measures the bioeconomy's contribution to "jobs and growth" and to "inclusive and cohesive societies." National indicators should be harmonized with these categories to ensure consistency and cross-country comparability.
Using employment and female employment metrics that align with Eurostat definitions and JRC methodologies allows Member States to benchmark their national bioeconomy performance against EU averages and peer countries.
Aligning national indicators with European monitoring supports coherence between national bioeconomy strategies and overarching EU policy frameworks, including the European Green Deal, the Circular Economy Action Plan, and the Gender Equality Strategy.
A.2 Sustainability and / or comparative evaluation options
Employment data supports the "social pillar" of sustainability. It enables policymakers to ensure that the bioeconomy transition is inclusive and that economic growth is decoupled from resource overuse while still providing decent work.
The employment rate and female employment rate indicators play an important role in the comprehensive sustainability assessment of the bioeconomy, particularly within its social dimension. While much of bioeconomy monitoring traditionally emphasizes environmental and economic aspects, employment-based indicators ensure that the social pillar of sustainability is adequately represented. They allow policymakers to evaluate whether bioeconomic growth translates into decent, stable, and inclusive employment, rather than merely maximizing output or resource efficiency at the expense of social welfare. From a comparative evaluation perspective, these indicators offer several valuable options:
Temporal Comparison (Trend Analysis)
Tracking employment and female employment over time enables long-term trends to be identified, revealing whether the bioeconomy transition is generating sustained employment gains, or if progress on gender equality is stagnating, accelerating or reversing. Aspects such as wages, qualifications and age can also be used to analyse employment structures over time.
Sectoral Comparison
Disaggregating employment data across different bioeconomy sub-sectors (e.g., agriculture, forestry, bio-based industry, biotechnology) allows for the identification of which sectors are most labor-intensive, most dynamic, or most gender-imbalanced—thereby informing targeted interventions.
Regional Comparison
Comparing employment indicators across regions highlights spatial disparities and helps assess whether the bioeconomy contributes to balanced territorial development and cohesion.
International and European Benchmarking
When aligned with harmonized definitions (e.g., Eurostat, JRC), these indicators enable robust cross-country comparisons, allowing a nation to benchmark its bioeconomy's social performance against EU averages and peer Member States. This supports evidence-based policy learning and the exchange of best practices across Europe.
B. Data availability
B.1 Stage of development
Established indicators, based on national statistics.
B.2 Data sources
Statistik der Bundesagentur für Arbeit: https://statistik.arbeitsagentur.de/DE/Navigation/Statistiken/Fachstatistiken/Beschaeftigung/Beschaeftigte/Beschaeftigte-Nav.html
EUROSTAT: Labour Force Survey, Employment by sex, age, and economic activity (lfsa_egan_22d_custom)
B.3 Coverage over time and replicability
Statistik der Bundesagentur für Arbeit: Available in digital format since June 2014; monthly;
June and December important --> proposal: annual report of June-data
EUROSTAT: Available in digital format since 2016, annual
B.4 Coverage across scales and sectors; compatibility
Compatible to regional and European data (international scaling a little bit different); Clustering by economic sector
C. Considerations for operationalization
C.1 Feasibility: Fit for monitoring
The indicators are very robust and in case of the employment rate already in use. The female employment rate is fit for bioeconomy monitoring (methodologically sound, reliable).
Monitoring the size of the bioeconomy begins with identifying sectors and industries that rely entirely or partially on the processing and use of biomass. This selection may change over time if increasing amounts of fossil resources are substituted with bio-based ones. The sectoral bio-based shares applied to sectoral data on value added or employment must be identical. Statistical classifications should be further developed and updated in regular intervals to differentiate bio-based and fossil-based sectors and products.
C.2 Institutions
Statistik der Bundesagentur für Arbeit, EUROSTAT
C.3 Future prospects
Continuous monitoring guaranteed
C.4 Costs, considerations and reproducibility
Costs may be incurred for detailed analyses of biobased sectors at regional levels (wages, qualifications and age).
C.5 Potential for automation
Automatic data retrieval possible: API Statistik der Bundesagentur für Arbeit, EUROSTAT
C.6 Presentation options and breakdown / sub-indicator needs
Maps and diagrams are possible.
C.7 Potential for scenario integration
There is a potential for scenario integration in bioeconomy scenarios and modelling, e.g. using past trends.
C.8 Interlinkages and alignment with other monitoring activities
National statistic included in different indicators.