Purpose Several scientific papers and technical reports have discussed the role of green public procurement in the food sector. Different strategies for the restoration sector have been identified. However, there is not yet a common understanding of which policies could be the most efficient in reducing the global warming potential of the public restoration service. This paper assesses a set of procurement policies, ranking them according to their potential to reduce the greenhouse gas emissions of public catering. Methods Eleven relevant green public procurement policies were identified from the literature. These are discussed in the context of a case study of the school catering service in the city of Turin (Italy). Initially, a life cycle approach is applied to a baseline scenario of the collective restoration system of the city, to quantify the quantity of greenhouse gases produced by the entire catering service (including all stages from the production of food to the management of waste from kitchens and canteens). Afterwards, the 11 policies were applied to the baseline scenario so that the potential improvement achieved by each policy could be quantified. Results and discussion The baseline scenario resulted in 1.67 kgCO 2 eq per average meal. The production of food dominates the global warming potential of the full service, being responsible for about 78% of the greenhouse gas emissions. Among the selected policies, a change in diet was the most effective (leading to a 32% reduction of the CO 2 eq emissions), followed by the adoption of improved food production practices (11% reduction) and the purchasing of certified green electricity (6% reduction). Conclusions The proposed method allows the assessment of procurement policies in the catering service by applying a simplified life cycle approach that considers all the stages of the process. Public authorities and other stakeholders could benefit from basing their decisions upon scientific evidence and avoiding the prioritisation of policies based on personal opinions or weak evidence. Uncertainties and areas for improvement in the method have been also identified for future investigation.
Nowadays the heightened awareness of the critical trend in resource depletion impels to improve the eco − sustainability of any productive process. The research presented in this paper aims to quantify the environmental impact of the emerging productive process of edible flowers, focusing on two model species, i.e., Begonia x semperflorens − cultorum hort and Viola cornuta L., and two types of product, i.e., flowering potted plants sold in plastic vases and packaged flowers ready to be consumed. The study was carried out in an Italian nursery located in Tuscany, interviewing the owners in order to complete the Life Cycle Inventory, assessing the value of the impact categories, and using the “cradle to gate” approach. The information about the production of flowering potted plants and packaged flowers were inserted in a database and elaborated by the appropriate software. The results of the Life Cycle Assessment (LCA) analysis referred to 1 g of fresh edible flowers and were expressed in four impact categories. Global Warming Potential (GWP) values ranged from 24.94 to 31.25 g CO2 eq/g flowers, Acidification Potential (AP) ranged from 8.169E − 02 to 1.249E − 01 g SO2 eq/g flowers, Eutrophication Potential (EP) ranged from 3.961E − 02 to 5.284E − 02 g PO43 − eq/g flowers, and Photochemical Ozone Creation Potential (POCP) ranged from 8.998E − 03 to 1.134E − 02 g C2H4 eq/g flowers. Begonias showed lower emissions than violas in the GWP and POCP indexes, whereas violas showed lower values in the AP and EP impact categories. The most impactful phase was the propagation, accounting on average for 42% of the total emissions. Overall, the findings highlighted a higher environmental load for the production of both begonias and violas packaged flowers, especially if in small containers, rather than as potted plants, with an emission percentage increase from 8% to 17% among the impact categories.
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