Survey data for assessing the socio-economic performance of End of Life options of a bio-based product based on expert knowledge.

This data article aims at providing a data description about the manuscript entitled "A socio-economic indicator for EoL strategies for bio-based products" [1]. Data regarding the socio-economic assessment of End of Life (EoL) options for the specific case of PLA-based film for food packaging are presented, with a special emphasis on policy recommendations and actions for the EoL practices in the bioeconomy sectors. A new framework, based on data gathering and validation through experts involvement, is proposed in order to calculate a new indicator to measure the socio-economic performance of EoL practices (SEI-EoL) for bio-based products. Experts were identified from the Horizon 2020 LIFE-funded projects and/or Scopus databases. Two rounds of survey were carried out to determine the weights of socio-economic criteria for bio-based products and the values for the selected case study. The aggregation of these data enabled us to obtain a final ranking of different EoL alternatives. Finally, a third round of survey was conducted to further deepen our understanding of actions and recommendations needed to improve EoL practices in bio-based sectors. Resulting data have a mix of quantitative and qualitative characterization. A potential reuse of these data can allow future estimations, empirical analyses or a direct comparison with the use of experimental observations.

A Combined method to model policy interventions for local communities based on people knowledge.

Policy interventions to promote innovative industries in peripheral regions are often hampered by lack of information on the functioning of the local socio-economic systems, due to their complexity. This might result in mismatches between policy objectives and the actual needs and capability of local communities. To overcome this drawback, it is crucial to obtain appropriate knowledge on the local system, which nevertheless is typically embedded in local actors' minds in uncodified and tacit form. Fuzzy Cognitive Maps (FCMs) have been employed to decode this kind of knowledge in a reproducible manner. However, some problems remain as to how to integrate the necessary vagueness of local actors' heuristic with experts' knowledge into a rational framework. The following methodology customization is proposed: • Combine the FCMs with the Discourse Analysis to obtain relevant narratives (i.e. concepts, visions, insights, etc.) needed to define system boundaries and variables. • Employ individual interviews - rather than a participatory approach - to define the causal relations among system variables. • Integrate tacit and uncodified knowledge embedded in local actors within experts' scientific knowledge.

A socio-economic analysis of biomethane in the transport sector: The case of Italy.

The transport sector has a low penetration of renewable energy, and this presents a serious obstacle to tackling climate change. Biomethane is seen as a decarbonisation solution, but only some European countries have pursued its development. Italy is one of these countries, having released a decree to stimulate development of the sector. The present work considers two typologies of substrate (the organic fraction of municipal solid waste and by-products) used in three sizes of plants (125 m3/h, 250 m3/h and 500 m3/h). A detailed socio-economic analysis is presented and policy implications are provided. The recovery of waste enables the creation of a circular economy, but the economic feasibility of such a model is verified in only some scenarios. A sensitivity analysis on the critical variables is conducted to support investment in this area. The use of green gas is found to be capable of significantly reducing greenhouse gas emissions in the transport sector, but the economic value of any environmental externality is low due to the value of carbon dioxide.