We examine the potential demand for a local food speciality product, saffron, with alternative labels, using a choice experiment. The paper contributes to the literature on credence attributes, by examining Willingness to Pay (WTP) for the local, organic and PDO (Protected Designation of Origin), their differences across experimental conditions (hypothetical and non‐hypothetical), and by identifying the effects of personal characteristics, in terms of socio‐demographics and level of product involvement on the differences in WTP. We find that the local saffron speciality has an important appeal that could be better reinforced with the PDO rather than the organic labelling, and that consumers show a consistent pattern of preferences across experimental environments. WTP tends to be higher in the hypothetical setting and, in particular, consumers with relatively more knowledge and deeper roots in the territory tend to exhibit a larger WTP premium for local origin and its certification. These results may help producers improve their marketing of agri‐food products with a high gastronomic value and differentiation potential, while they warn about an overstatement of WTP for socially desirable characteristics, such as organic labelling, which is also relevant for policymakers.

Theoretical arguments and empirical evidence suggest that non-tariff measures (NTMs) generate a mixture of trade effects. Using the maximum level of disaggregation provided by the UNCTAD NTMs database (four-digit), and focusing on those measures applied by China in its pork trade, a gravity equation is estimated with the poisson pseudo maximum likelihood estimator. Results confirm both restricting and promoting effects that higher levels of NTM aggregation mask. Compared to the average tariff applied by main importers (9 per cent) and China (14 per cent), the most restrictive NTMs are more stringent, with ad-valorem equivalents between 15 and 33 per cent. Simulations illustrate the upper bound bilateral trade gain from NTM removal and the resulting repercussions for China’s pork import shares.

The bioeconomy encompasses the extraction, processing and transformation of renewable biological resources and waste streams, connected to activities as diverse as food, feed, energy and manufacturing. Under the auspices of the European Union’s ‘Green Deal' strategy, this broad collective of sectors is promoted as a cornerstone for achieving sustainable growth. Progress in developing ex-ante tools of economy-wide modelling analysis to assess its performance is, however, hindered by a paucity of consistent and comprehensive data. To overcome this shortcoming, the construction steps for a new set of open access social accounting matrices (dubbed ‘BioSAMs’) is described for a detailed and comprehensive selection of traditional and contemporary bio-based accounts for each of the EU member states. To illustrate its potential, a structural analysis based on three different and complementary methods (Rasmussen-Jones, hypothetical extraction method and eigenvector) is performed to classify bio-based sector wealth generating properties and to identify high performance (‘key') sectors.