This research explores the systemic nature of competitiveness within the cereal sector of the European Union (EU) and addresses the structural interdependencies among key competitiveness drivers through a network-based model. The goal of this research is to offer policy alignment solutions based on the empirical findings derived from a sparse Gaussian graphical model that was operationalized to identify conditional dependencies, synergies, and decouplings across five dimensions: factor endowments, self-sufficiency, trade strategy, resource productivity, and environmental impact. The results showed systemic vulnerabilities, including the decoupling of factor endowments from strategic trade specialization, a pronounced East-West productivity divide, and the asymmetry between the economic valorization of harvested land and its environmental impact, reflected in land management practices. Research findings underscore the need for synergy-driven strategies to coherently align agricultural competitiveness outcomes with the economic and structural potential of each EU country. A critical policy incongruency has been identified: the current prioritization of ecological performance under the Common Agricultural Policy overlooks essential agricultural infrastructural disparities, thereby perpetuating competitiveness asymmetries across the Union. In response, this study introduces a systemic amelioration framework designed to reconcile environmental priorities with agricultural infrastructure development, fostering cohesive and resilient competitiveness throughout the EU cereal sector.

Systemic Competitiveness in the EU Cereal Value Chain: A Network Perspective for Policy Alignment

Privitera D.;
2025-01-01

Abstract

This research explores the systemic nature of competitiveness within the cereal sector of the European Union (EU) and addresses the structural interdependencies among key competitiveness drivers through a network-based model. The goal of this research is to offer policy alignment solutions based on the empirical findings derived from a sparse Gaussian graphical model that was operationalized to identify conditional dependencies, synergies, and decouplings across five dimensions: factor endowments, self-sufficiency, trade strategy, resource productivity, and environmental impact. The results showed systemic vulnerabilities, including the decoupling of factor endowments from strategic trade specialization, a pronounced East-West productivity divide, and the asymmetry between the economic valorization of harvested land and its environmental impact, reflected in land management practices. Research findings underscore the need for synergy-driven strategies to coherently align agricultural competitiveness outcomes with the economic and structural potential of each EU country. A critical policy incongruency has been identified: the current prioritization of ecological performance under the Common Agricultural Policy overlooks essential agricultural infrastructural disparities, thereby perpetuating competitiveness asymmetries across the Union. In response, this study introduces a systemic amelioration framework designed to reconcile environmental priorities with agricultural infrastructure development, fostering cohesive and resilient competitiveness throughout the EU cereal sector.
2025
structural alignment, sustainability, value chain governance
sparse Gaussian graphical model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/672930
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