Search results for "Economia"

A PCA-AA approach to measure equal and sustainable well-being in the Italian Regions

2015

Il contributo propone una misura di benessere delle regioni italiane in termini di efficienza, considerando simultaneamente dimensioni economiche, sociali ed ambientali. Utilizzando un approccio integrato dell’analisi in componenti principali e dell’Activity Analysis, lo studio fornisce una misura di benessere in termini economici ed ambientali. L’analisi evidenzia una generalizzata incapacità delle regioni italiane di realizzare una buona performance economica ed ambientale. The study proposes a measure of the well-being of Italian regions in terms of efficiency, considering simultaneously economic, social and environmental aspects. The paper suggests an integrated approach using Principal…

A dynamic model to value the economic impact and the economic sustainability of tourism in a resort area

2007

The systemic approach in studying tourism is firmly accepted in literature because of the complexity of the topic both from the supply side (the heterogeneity of goods and services making the tourism product) and the demand side (not every operator in the tourism network chain has a direct contact with tourists). To face this complexity the Input-Output analysis, theorized by Wassily Leontief, is widely used in empirical studies of tourism. Yet, in spite of such a diffusion and importance in tourism literature, the Input-Output models have several limits. In order to overcome some of these limits, the static Input-Output analysis is translated into a dynamic one by making use of System Dyna…

Statistically Validated Networks for evaluating coherence in topic models

2022

Probabilistic topic models have become one of the most widespread machine learning technique for textual analysis purpose. In this framework, Latent Dirichlet Allocation (LDA) gained more and more popularity as a text modelling technique. The idea is that documents are represented as random mixtures over latent topics, where a distribution over words characterizes each topic. Unfortunately, topic models do not guarantee the interpretability of their outputs. The topics learned from the model may be characterized by a set of irrelevant or unchained words, being useless for the interpretation. In the framework of topic quality evaluation, the pairwise semantic cohesion among the top-N most pr…

Benford's Law for economic data reliability: The case of tourism flows in Sicily

2023

This paper proposes a data science approach based on Benford's Law to analyse tourist flows – being tourism a relevant economic sector in Sicily. In particular, we are interested in detecting irregular patterns in the numerical data that may represent manipulations, inaccuracies or biases in the self-reported data from tourism organisations. The analysis is carried out by using monthly data for arrivals and overnight stays in hotels, B&Bs, and complementary accommodations in the seven provinces of the island from January 2016 to December 2019. We perform the analysis by employing several statistical tests and through a visual inspection of the difference between the empirical distributi…

Marked Hawkes processes for Twitter data

2022

In this paper, we propose to model retweet event sequences using a marked Hawkes process, which is a self-exciting point process where the occurrence of previous events in time increases the probability of further events. The aim is to analyse Twitter data combining temporal point processes theory and textual analysis. Since each retweet event carries a set of properties, we mark the process by different characteristics drawn from the textual analysis, finding that the tone of the description of the Twitter user is a good predictor of the number of retweets in a single cascade.

Carbon Emissions Announcements and Market Returns

2023

The paper investigates the impact of carbon emissions on stock price returns of European listed firms. This relationship is assessed across all three emissions scopes, as well as using expecta-tions to detect if future emissions impact contemporary returns. Our findings show that firms with higher expected future emissions deliver contemporary lower returns, after controlling for market capitalization, profit, and other known return predictors. This result is statistically sig-nificant in the post Paris Agreement period with a two to three years expectation on scope 2 emissions. However, there is marginal to no significant negative relationship between current emissions and current returns.…

Seasonal Forecasting methods: an empirical analysis at sectoral and territorial levels.

2011

Job shop scheduling by a parallel approach

1993

The paper deals with a parallel approach to job shop scheduling by a branch and bound methodology using the lower bound proposed by Ashour and Hiremath. The optimal solution is achieved by an iterative-reductive strategy. At each iteration the algorithm investigates the conflict intervals and it selects a subset of the possible solutions. The makespan value, achieved by the parallel processes, gives the upper limit for the admissible lower bound of the intermediate solutions. Furthermore the best makespan reached by each iteration is reused as a filter to reduce the complexity of the next iteration. The computation is speeded up by a parallel implementation, giving the possibility of distri…

MEASURING TOPIC COHERENCE THROUGH STATISTICALLY VALIDATED NETWORKS

2020

Topic models arise from the need of understanding and exploring large text document collections and predicting their underlying structure. Latent Dirichlet Allocation (LDA) (Blei et al., 2003) has quickly become one of the most popular text modelling techniques. The idea is that documents are represented as random mixtures over latent topics, where a distribution over words characterizes each topic. Unfortunately, topic models give no guaranty on the interpretability of their outputs. The topics learned from texts may be characterized by a set of irrelevant or unchained words. Therefore, topic models require validation of the coherence of estimated topics. However, the automatic evaluation …

Cici communis e civis oeconomics La città neoliberale come esempio conflittuale

Civis oeconomicus e civis communis, sono le due figure antropologiche, animate da un eterno polemos figurato, attraverso cui in questo lavoro di ricerca abbiamo provato a raccontare la frattura tra due modelli dicotomici di cittadinanza e a ricostruire le trasformazioni dell'economia, delle istituzioni e delle tecniche di governo in era neoliberale nonché la crisi della cittadinanza politica moderna e le possibilità di reazione, resistenza, conflitto che si affacciano sul pianeta. Quella che abbiamo sottolineato a più riprese è in effetti proprio la novità drammatica di queste due figure antropologiche. Da una parte quella che racchiude nella sua stessa definizione i risultati della progres…