Antonio Lopolito

Rural areas are crucial for green transitions, due to their resource‐based economies and extensive scope, covering over 80% of EU territory and housing 30% of the population. Achieving sustainability in rural areas is complex, given the multiple socio‐stechnical factors involved. This highlights the need for a comprehensive ‘policy mix’ that goes beyond myopic decisions focused on isolated issues and instead embraces a long‐term perspective on resource management. The study aims to propose an innovative methodological approach for the design of policy mix to support green transitions in rural areas, using a Local Action Group (LAG) as a case study. The approach integrates participatory techniques involving experts and LAG member farmers, and two multi‐criteria decision‐making methods—namely fuzzy level‐based weight assessment (LBWA) and the new fuzzy combined compromise solution (CoCoSo). Local stakeholders focused on adopting a biomass centre for the reuse of agricultural waste. The LBWA and CoCoSo methods then identified the best policy mix to address barriers and facilitate the innovation's implementation.

European policy supports cutting-edge research on Industry 4.0, aiming to promote excellence and ensure a balanced distribution of regional Industry 4.0 capacities. We analyse Industry 4.0 research projects financed by the European Union’s framework programmes over a 14-year period, investigating whether less developed regions benefit from interaction with more advanced regions that have a stronger capacity to diversify their Industry 4.0 technologies. We find a strong path-dependency in technological diversification between programming periods. Moreover, while national Industry 4.0 programmes negatively affect the capacity of regions to diversify technologies, possibly generating a substitution effect, we find that regional networking does not support less diversified regions in mastering multiple technologies.

This study examines the dynamics of land use and land cover change (LULCC) in the Gargano area (Southern Italy) to reveal crucial insights into the socio-economic and environmental impacts on its unique natural and cultural resources. This analysis was conducted using a mixed approach of GIS data and expert interviews to investigate significant changes in the Gargano area, from 2000 to 2018, and their drivers. Artificial surfaces gained 22% of their original surfaces, while heterogeneous areas and pastures lost 25% and 78%, respectively. Urbanization and deforestation emerged as major concerns, reflecting heightened sensitivity to these transformative processes. Agricultural intensification and support policies were perceived as potential pressure sources on specific natural components. Conversely, these drivers counteracted land abandonment. Drivers such as education level and agricultural extensification were seen as levers for a more desirable land cover dynamic. Identified actions include providing targeted support for agriculture within environmental constraints, addressing land ownership fragmentation, supporting agricultural extensification, and promoting environmental awareness.

Most EU policy documents highlight the need to ensure and contribute to the achievement of the multifaceted goal of social sustainability. In this framework, the paper investigates tokenism, a common phenomenon of crucial importance for rural development, although not widely studied. The paper focuses on a scoping literature review to analyse the forms of tokenism affecting the territorial development practices and which factors can prevent this phenomenon. More specifically, recent scientific papers dealing with tokenism, social capital, rural areas, and decision processes were analysed to shed light on the various underhand practices in which tokenism occurs and possible limiting factors. The results show the role played by adopting participatory approaches and by some variables (e. g., trust, influence, involvement, civic engagement, information) in reducing the phenomenon of tokenism. It is important to highlight how improving the local amount of social capital represents a key factor positively affecting the success of territorial development strategies. The originality and the value of the present study lie in the fact that notwithstanding tokenism is analysed by several authors, to the best of our knowledge, there are no studies focusing on the relationship between tokenism and territorial development.

The funds allocated through the EU Rural Development Programme provided the engine for local stakeholders to interact, forming mixed collaboration partnerships. This paper investigates the structure of such partnerships with the aim of verifying whether (R1) there are significant differences between the various stakeholder categories in influencing the rural development process, and (R2) which categories of stakeholders are more empowered in directing the design of sustainable rural development. The study is focused on two Italian cases: the regions of Apulia and Veneto. Using a combination of SNA and nonparametric tests, the results demonstrate that the empowerment of the stakeholders followed unequal paths in the two cases; i.e., a central role is clearly played by economic associations in Apulia, while this power is more distributed between different kinds of stakeholders in the case of Veneto. Agricultural associations in Apulia play an important role in the densely connected rural development network, promoting information flow and collective action. On the other hand, the weakness of this configuration lies in the fact that the rural development agenda can receive strong pressure from the agricultural sector, pushing more sectoral strategies in turn. Private companies play a key role in Veneto’s rural development, bridging the network gaps between more clustered local groups and increasing pluralism and inclusion. However, the network is sparse and shrinking, posing challenges in terms of coordination and collective action. This kind of evaluation makes policymakers and managers aware of both the most influential and weakest actors. This is crucial to improving the effectiveness and sustainability of the project, as they can involve the most influential groups from the early stages of the design process to ensure support as well as address the needs of the lagging stakeholder categories to reinforce tacit rules, trust, accountability, and responsibilities.

The diffusion of innovations is largely influenced by the characteristics of the network of initial adopters (or innovation spreader). We investigate how these characteristics tend to influence the adoption rate and the speed of the diffusion process of a technological innovation in agriculture. The diffusion process is simulated through an Agent Based Model that replicates real-world data. We found that the closeness and the clusterization of the networks are the variables that tend to affect the most the capability of spreading innovations among members. Our findings have direct policy implications: since innovations help advancing the economic development of the agricultural sector, promoting the emergence of networks that have desirable characteristics would enhance growth. Our analysis provides specific insights on how to plan networks with desirable characteristics for the innovation spreaders.

The socio-economic consequences of the Xylella fastidiosa epidemic represent a global problem that can only be addressed through tailored, local solutions. The selection of public interventions is not a trivial task for policy makers, as they must weigh many different interests (e.g., private profit, ecosystem services, usability, preservation and growth of real estate value, amenities, and land protection). The present paper addresses this challenge by building participatory scenarios based on “fuzzy cognitive maps,” with the aim of identifying effective, acceptable, and efficient policy mixes to address the Xylella epidemic. The work investigates the case of southern Salento (Italy)–an olive production area at the epicentre of the global Xylella outbreak–to identify the most suitable actions for regenerating the landscape. To this end, the most efficient policy mixes are determined according to three possible policy perspectives, which provide different weights for effectiveness and acceptability. The results show that the proposed methodological approach may assist policy makers in coping with multifaceted policy challenges.

Technology diversity is defined as the ability to perform research and development in different technological domains. We investigate the degree of technological diversity in the European regions, focusing on two main drivers: the regional capacity to obtain funding from the 7^th Framework Programme, and the degree of regional network centrality in collaborative research. Our results support the hypothesis that regional capacity to access European funding and obtain a central position in collaborative networks fosters technological diversity in European regions. We also find that the high network centrality in a research collaboration network is correlated to a reduced FP7 effect on technological diversity.

Agriculture can be a possible provider of social services of relevant importance for the whole society. In order to generate a valuable social service, a multi-actor approach is often applied, based on an active collaboration among public institutions, non-profit organizations, and private firms, and capable of generating multiple positive impacts. This new approach may both favorite agricultural diversification and enhance the quality of life of rural communities. However, in order to enable policymakers in motivating the public support to these types of initiatives, an evaluation method capable of disentangling the multiple benefits generated by social agricultural projects is required. In this paper, we adapted the evaluation method previously developed by the SIMRA consortium for Social Innovation initiatives, to a project aimed at the employability of NEETs in the south of Italy. A selection grid, framed by cross-referencing the national policy objectives of social agriculture and the criteria of eligibility adopted in public calls is proposed, to choose the suitable indicators for the evaluation. The evaluation experience allowed the measurement of 34 indicators of performance. The results prove that 12 indicators are positive, while 12 are moderate, and 10 are low and are mainly related to the enhancement of social inclusion. The evaluation exercise may be useful to disentangling the multiple outcomes generated by initiatives based on social innovation, which are highly based on intangible assets, and exert a positive effect on the internal cohesion and the engagement of the civil society.

The European Union promotes social innovation (SI) initiatives for the support of marginalised rural areas through rural and sustainable development policies. These are based on the engagement of local actors and the strengthening of their mutual relationships to boost the fostering of professional collaborations. In this context, the Horizon 2020 Social Innovation in Marginalised Areas (SIMRA) project elaborated a conceptual framework for characterising the engagement in an SI initiative. Accordingly, this paper aims to demonstrate that engagement relies on specific key drivers, such as the existence of unmet social needs and the role of agency. To this end, a two-step Heckman model was applied to an SI initiative case study called Vàzapp’, a rural hub (agency) located in Southern Italy. It promotes relationships among farmers to valorise the marginalised rural areas. The results appear consistent with the theoretical framework, demonstrating that the farmers’ engagement was motivated by the existence of the aforementioned determinants. The implications are relevant for policymakers, consultants, and social innovators who may incorporate these elements in designing specific SI projects in different contexts.