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The paper aims to provide a decision-support model to ensure a proper use of the limited resources, financial and not, for the enhancement of the cultural heritage and comprehensive development of small towns from sustainable perspective.

The assessment model is set up using a multi-criteria method that combines elements of linear planning with a performance indicators system that may represent the complexity of the territory’s cultural identity as a result of existing cultural-historical assets.

The model reliability is tested in a case study in a Municipality in southern Italy. The case study’s findings highlight the advantages for the public/private operators, who can consciously choose which preservation and restoration projects to fund while taking into account the effects those decisions will have on the economic, social and environmental context of reference.

Due to the suggested operational approach and the selection of variables for accounting economic, social and environmental impacts by the renewal project, the research findings may not be generalizable. Therefore, it is recommended that researchers look into the suggested theories in more detail.

The study offers implications for designing a user-friendly tool to help decision-making processes from a private–public viewpoint in a reasonable allocation of financial resources among investments for cultural property asset enhancement.

The suggested operational approach provides a reliable information apparatus to depict the decision-making process under small-town development in accordance with sustainability dimensions.

The decisions taken today relating to urban renewal interventions are rarely supported by logical and operational methodologies capable of effectively rationalising selection processes. For this purpose, it is necessary to propose and implement analysis models with the aim of promoting the sustainable development of the territory. The purpose of this paper is to define a model for the optimal allocation of scarce resources.

The Discrete Linear Programming (DLP) is used for selecting investments aimed at achieving financial, social, cultural and environmental sustainability.

The proposed model lends itself to the construction of investment plans on behalf of both types of decision makers, of both a public and a private nature.

All projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences.

The model, written with A Mathematical Programming Language using DLP logics, is tested – case study – so as to define an investment programme finalised for urban renewal of a vast area.

The proposed econometric model makes it possible to obtain the optimal combination of projects for urban renewal with a view to achieving the sustainable development of the territory.

Using the proposed model, all projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences.

Looks at the first 100 years of Italian cinema examining its role in Italy’s recent history. Provides a bibliography of major film directors, Italian cinema sources, reference works, histories, themes, theory and criticism and articles in journals.

This study empirically explores the factors that influence consumers’ readiness toward engagement in circular food consumption.

A conceptual model based on the motivation–opportunity–ability (MOA) framework was developed. In addition to all the classical relationships in this theoretical framework, respondents' age and education were added to the model. An online survey was conducted, resulting in an overall sample of 411 Italian participants. Data were statistically analyzed by using partial least squares structural equation modeling (PLS-SEM).

The results indicated that motivation, opportunity and ability had positive effects on consumers’ readiness toward engagement in circular food consumption (CFC). Of all the constructs, intrinsic motivation had the most significant impact on consumers’ readiness toward engagement in CFC. The results also showed that sociodemographic traits—particularly age and gender—significantly influenced consumer readiness toward engagement in CFC. Practical and policy implications are proposed based on the study findings.

The study analyzes factors influencing consumers' readiness to engage in CFC. While great attention has been paid toward circular economy (CE) implementation in food consumption, empirical evidences on how to prompt the consumers' readiness toward CFC are still lacking. More specifically, the authors explore for the first time, sociopsychological factors affecting consumers' readiness to reduce, reuse and recycle technical components of food products, using the MOA theory as conceptual model.

This work aims to assess the potential of a Bio-District as a model for applying the circular economy concerning the waste scope. It aims to understand the capability of organic farms to manage waste with a circular perspective, starting with the use of indicators that directly or indirectly impact the waste scope.

This study is based on previous work that identified and systematised the circular indicators of the agri-food sector within a dashboard. With this research as a basis, the indicators within the waste scope in the dashboard were extracted. Cross-linked indicators with an indirect connection to the waste scope were also systematised and tested in a case study. Primary and secondary data were used for the study. The primary data came from a semi-structured interview, and the secondary data were from official databases.

The work highlights two important results. The first allows the definition of a subclassification of indicators by product and organisation, extracting those with a cross-linked characteristic concerning the waste scope. Secondly, the indicators' application shows the farm's circular and waste valorisation potential within the Bio-District. The study also made it possible to test a new indicator, the “Potential Energy Biomass Recovery”, to measure the farm's potential to produce energy from waste.

This research proposes a new circular economy approach to evaluate waste management in the agri-food sector.

The present research aims to develop and test an evaluation support model for decisions alert soil surface saving to be used in the redevelopment of abandoned and degraded properties through involvement of private developers.

Adapting operations research principles to the public–private partnership features that are typical of urban planning issues, the model pursues a complex objective function, that concerns urban parameters to be attributed to properties to be recovered. An elaboration of a Pareto-optimal frontier has defined possible scenarios for different trends of the variables under consideration.

The efficiency of the model is verified through application to a real case study concerning urban renewal of a property in disuse located in a city in Southern Italy. The outputs confirm the potentialities and flexibility of the proposed model to support urban planning decisions by improving the implementation of conservation policies, in terms of a reduced impact of urban transformation projects on the available natural land surface.

Depending on the objectives of public sector, the model can generate a range of urban parameter combinations to be attributed to the recovered properties to achieve low consumption of natural surfaces, with bargaining between the public and private sectors around these parameters. The model can also be used in the initial phases of the renewal initiative, when it is necessary to define the costs and the revenues involved or to assess alternative solutions capable of reducing impacts on the environment.

The model can be applied to identify the appropriate rewards in a project that can stimulate the private developers to realize further public infrastructures and services than minimum quantities established by the current local urban regulations. In this sense, the model represents an original scientific reference in the current strategies promoted by the European Union for achievement of a “no net land take” by 2050, aimed at reducing natural surface occupied by buildings and roads.