Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/257700 
Year of Publication: 
2020
Citation: 
[Journal:] International Journal of Financial Studies [ISSN:] 2227-7072 [Volume:] 8 [Issue:] 2 [Article No.:] 33 [Publisher:] MDPI [Place:] Basel [Year:] 2020 [Pages:] 1-9
Publisher: 
MDPI, Basel
Abstract: 
The purpose of this article is to develop a quantitative model that supports policy makers in the tourism sector in making socially responsible investment decisions. In particular, this paper proposes a methodological approach to assess the impact of strategic decisions at the policy level, in the field of tourism, from an economic, environmental and social point of view. The Calabria region, in Italy, has been chosen as a real-world case study. Based on historical data, the study identifies the main levers that influence tourism-related dynamics in Calabria. A quantitative forecasting model to support future investment decisions for sustainable tourism has then been developed. This problem is modeled through a multi-criteria optimization framework. To initialize such a framework, a non-linear autoregressive network with exogenous inputs (NARX) has been used. The proposed model is a flexible instrument to evaluate public investment policies in the field of tourism from the point of view of sustainability and social responsibility.
Subjects: 
decision support system
NARX
optimization
public investments
socially responsible tourism
JEL: 
O
R
M40
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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