Maria Michela Dickson

Dr. Maria Michela Dickson

Department of Economics and Management, University of Trento, Via Calepina, 14, 38122 Trento TN, Italy
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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 August 2020 in Nonlinear Dynamics
Verified
Journal Article
Open access
PDF file
MDMaria Michela Dickson
Maria Michela Dickson
GEGiuseppe Espa
Giuseppe Espa
DGDiego Giuliani
Diego Giuliani
FSFlavio Santi
Flavio Santi
LSLucia Savadori
Lucia Savadori
This paper aims at investigating empirically whether and to what extent the containment measures adopted in Italy had an impact in reducing the diffusion of the COVID-19 disease across provinces. For this purpose, we extend the multivariate time-series model for infection counts proposed in Paul and Held (Stat Med 30(10):118–1136, 2011) by augmenting the model specification with B-spline regressors in order to account for complex nonlinear spatio-temporal dynamics in the propagation of the disease. The results of the model estimated on the time series of the number of infections for the Italian provinces show that the containment measures, despite being globally effective in reducing both the spread of contagion and its self-sustaining dynamics, have had nonlinear impacts across provinces. The impact has been relatively stronger in the northern local areas, where the disease occurred earlier and with a greater incidence. This evidence may be explained by the shared popular belief that the contagion was not a close-to-home problem but rather restricted to a few distant northern areas, which, in turn, might have led individuals to adhere less strictly to containment measures and lockdown rules.

13 November 2020 in Sustainability
Verified
Journal Article
Open access
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RSRiccardo Gianluigi Serio
Riccardo Gianluigi Serio
MDMaria Michela Dickson
Maria Michela Dickson
DGDiego Giuliani
Diego Giuliani
GEGiuseppe Espa
Giuseppe Espa
Many studies have analyzed empirically the determinants of survival for innovative startup companies using data about the characteristics of entrepreneurs and management or focusing on firm- and industry-specific variables. However, no attempts have been made so far to assess the role of the environmental sustainability of the production process. Based on data describing the characteristics of the Italian innovative startups in the period 2009–2018, this article studies the differences in survival between green and non-green companies. We show that, while controlling for other confounding factors, startups characterized by a green production process tend to survive longer than their counterparts. In particular, we estimate that a green innovative startup is more than twice as likely to survive than a non-green one. This evidence may support the idea that environmental sustainability can help economic development.

5 January 2016 in Computational Statistics
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Journal Article
Closed access
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MDMaria Michela Dickson
Maria Michela Dickson
YTYves Tillé
Yves Tillé

1 November 2014 in Regional Science and Urban Economics
Verified
Journal Article
Closed access
GAGiuseppe Arbia
Giuseppe Arbia
GEGiuseppe Espa
Giuseppe Espa
DGDiego Giuliani
Diego Giuliani
MDMaria Michela Dickson
Maria Michela Dickson

25 November 2025 in Spatial Economic Analysis
Verified
Journal Article
Closed access
RSRiccardo Gianluigi Serio
Riccardo Gianluigi Serio
DGDiego Giuliani
Diego Giuliani
MDMaria Michela Dickson
Maria Michela Dickson
GEGiuseppe Espa
Giuseppe Espa

16 September 2025 in Quality & Quantity
Verified
Journal Article
Open access
PDF file
RSRiccardo Gianluigi Serio
Riccardo Gianluigi Serio
MDMaria Michela Dickson
Maria Michela Dickson
GEGiuseppe Espa
Giuseppe Espa
RMRocco Micciolo
Rocco Micciolo
Tourism has emerged as a significant driver of the global economy. As its economic impact grows, concerns regarding environmental sustainability have intensified. This paper highlights the critical role of young tourists, who exhibit a heightened awareness of environmental issues and advocate for sustainable practices. By conducting a survey among young Italian university students, the study identifies distinct segments based on family background, self-defined political orientation, and travel habits. Using latent class cluster analysis, the findings aim to improve understanding of pro-environmental behaviors among youth, offering insights for policy makers to foster sustainable tourism practices, fine-tune communication, incentives, and pricing, and advance sustainable tourism through evidence-based strategies.