Aestimum <div> <p class="Body"><strong><em>Aestimum</em></strong>&nbsp;is a peer-reviewed Journal dedicated to the methodological study of appraisal and land economics. Established in 1976 by the Italian Association of Appraisers and Land Economists, which was legally recognized by Ministerial Decree, March 1993. Topics of interests include rural, urban and environmental appraisal, evaluation of public investments and land use planning. All the areas under discussion are addressed to the International scene. The interdisciplinary approach is one of the mainstays of this editorial project and all of the above mentioned topics are developed taking into consideration the economic, legal and urban planning aspects.&nbsp;<em>Aestimum</em>&nbsp;is biannual Journal and publishes articles both in Italian and English. Articles submitted are subjected to a double blind peer review process.</p> </div> Firenze University Press en-US Aestimum 1592-6117 <p>Authors retain the copyright and grant the journal right of first publication with the work simultaneously licensed under a <strong>Creative Commons Attribution 4.0 International Public License (<a href="">CC-BY-4.0</a>)</strong>&nbsp;that allows others to share the work with an acknowledgment of the work's authorship and initial publication.</p> <p><a href="" rel="license"><img src="" alt="Creative Commons License"></a><br>This work is licensed under a <a href="" rel="license">Creative Commons Attribution 4.0 International License</a></p> Bio-districts and the territory: evidence from a regression approach <p class="p1">In recent years the bio-districts have been considerably spread in Italy. The bio-district can be defined as a locally rooted multifunctional project with the involvement of farms and institutions. Our research aims at assessing potential relations between territorial, socio-economic features and the presence of bio-districts in an area, by means of a logit regression analysis at municipal scale in Italy. Data have been collected from several sources, among which ISTAT digital databases. Main results show as farms with diversification activities and the presence of Local Action Groups are factors related to the rising of bio-districts in a territory. Moreover, the study highlights the role of bio-districts in disadvantageous and mountain areas, in developing effective territorial governance. In terms of policy implication, CAP 2023-2027 can constitute the ideal bench for testing bio-districts function playing a crucial role in reaching the objective set by the Farm to Fork strategy.</p> Chiara Mazzocchi Luigi Orsi Carlotta Bergamelli Alberto Sturla Copyright (c) 2021 Chiara Mazzocchi, Luigi Orsi, Carlotta Bergamelli, Alberto Sturla 2022-02-05 2022-02-05 79 5 23 10.36253/aestim-12163 The hidden value of non-timber forest products: income contribution of the Basilicata wild truffle <p class="p1">The Basilicata region (South of Italy) is land of truffles where the gastronomic, economic and cultural awareness has developed for this non-timber forest product only in the past decade. Little is known about truffle production and its social, economic and environmental implications. In this article we investigate the Basilicata truffle sector by devoting particular attention to the truffle hunters who gather the truffles from the forests. The data for the analysis were collected through a survey with the aim of describing the gathering activity (people involved, specie and quantities collected, etc.) and assessing its significance as a source of income. Results show that truffles can provide local communities with earning opportunities. However, the truffle sector needs to be protected and enhanced.</p> Mauro Viccaro Severino Romano Adele Coppola Gerardo Vaccaro Francesco Riccioli Mario Cozzi Copyright (c) 2021 Mauro Viccaro, Severino Romano, Adele Coppola, Gerardo Vaccaro, Francesco Riccioli, Mario Cozzi 2022-03-10 2022-03-10 79 25 42 10.36253/aestim-12228 Buildings’ energy performance, green attributes and real estate prices: methodological perspectives from the European literature <p class="p1"><span class="s1">Buildings’ energy efficiency may affect real estate prices, but the literature suggests that the effects of green attributes and Energy Performance Certificate ratings on the value of residential properties in Europe are still variable across contexts. The adoption of methods able to appropriately investigate this issue is thus essential. In this framework and to support future studies, this paper offers a methodological review of scientific works on the topic published in the last five years. Our work does not only represent an update of other reviews, but it originally analyses the papers by a methodological viewpoint. Results highlight a progressive refinement of the research questions and methods adopted. Then, the increasing importance of concepts such as latent variables and green attributes in the real estate pricing process is detected and identified as a field to be furtherly explored. Finally, Structural Equation Modelling is proposed as a promising approach for future studies.</span></p> Elena Fregonara Irene Rubino Copyright (c) 2021 Elena Fregonara, Irene Rubino 2021-09-03 2021-09-03 79 43 73 10.36253/aestim-10785 Assessing the perception of urban visual quality: an approach integrating big data and geostatistical techniques <p class="p1">Human well-being is affected by the design quality of the city in which they live and walk. This depends primarily on specific physical characteristics and how they are aggregated together. Many studies have highlighted the great potential of photographic data shared on the Flickr platform for analyzing environmental perceptions in landscape and urban planning. Other researchers have used panoramic images from the Google Street View (GSV) web service to extract data on urban quality. However, at the urban level, there are no studies correlating quality perceptions detected by social media platforms with spatial geographic characteristics through geostatistical models. This work proposes the analysis of urban quality in different areas of the Livorno city through a methodological approach based on Geographical Random Forest regression. The result offers important insights into the physical characteristics of a street environment that contribute to the more abstract qualities of urban design.</p> Veronica Alampi Sottini Elena Barbierato Irene Capecchi Tommaso Borghini Claudio Saragosa Copyright (c) 2021 Veronica Alampi Sottini, Elena Barbierato, Irene Capecchi, Tommaso Borghini, Claudio Saragosa 2022-03-08 2022-03-08 79 75 102 10.36253/aestim-12093 Rassegna giurisprudenziale <p>-</p> Nicola Lucifero Copyright (c) 2021 Nicola Lucifero 2022-02-07 2022-02-07 79 103 113 10.36253/aestim-12758