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Through geographical indications, the European Union aims to stimulate economies, especially in lagging rural regions, and to help consumers recognise and locate quality products from specific regions. The highly uneven distribution of geographical indications, and with that the unequal benefits of this policy, have been identified and discussed in the scientific literature on food and rural development.

Using a statistical analysis of the distribution of geographical indications, the paper tests the validity of several theoretical explanations that are offered in the literature for the uneven spatial distribution.

From this assessment, the paper concludes, amongst others, that common single-cause explanations for the uneven distribution of labels in Europe have weak explanatory value. Rather, the uneven distribution is based on a complex set of causes, with different effects at national and regional level. Moreover, the findings highlight that in contrast to its aim, the policy does not seem to benefit especially lagging rural regions.

The analysis of the uneven distribution of labels in Europe offered here suggests that a distinction should be drawn between the mechanisms resulting in regional food products versus the mechanisms resulting in regional food labels, such as geographical indications.

The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be useful for academia and industrial practitioners in the future.

A systematical and hierarchical framework is proposed in this paper to review the literature. Categorizations and classifications are identified to organize this paper.

This paper reviews total 192 articles related to the data-driven systems for FSCM. Currently, there is a dramatic increase of research papers related to this topic. Looking at the general interests on FSCM, research on this topic can be expected to increase in the future.

This paper only selected limited number of papers which are published in leading journals or with high citations. For simplicity without generality, key findings and observations are significant from this research.

Some ideas from this paper could be expanded into other possible domains so that involved parties are able to be inspired for enriching the FSCM. Future implementations are useful for practitioners to conduct IT-based solutions for FSCM.

As the increasing of digital devices in FSCM, large number of data will be used for decision-makings. Data-driven systems for FSCM will be the future for a more sustainable food supply chain.

This is the first attempt to provide a comprehensive review on FSCM from the view of data-driven IT systems.