“A long-term mortality analysis of subsidized firms in rural areas: an empirical study in the Portuguese Alentejo region”

Studies have demonstrated that public policies to support private firms’ investment have the ability to promote entrepreneurship, but the sustainability of subsidized firms has not often been analysed. This paper aims to examine this dimension specifically through evaluating the mortality of subsidized firms in the long-term. The analysis focuses on a case study of the LEADER+ Programme in the Alentejo region of Portugal. With this purpose, the paper examines the activity status (active or not active) of 154 private, rural, for-profit firms in Alentejo that had received a subsidy to support investment between 2002 and 2008 under the LEADER+ Programme. The methodology is based on binary choice models in order to study the probability of these firms still being active. The explanatory variables used are the following: (1) the characteristics of entrepreneurs and managers’ strategic decisions, (2) firm profile and characteristics, (3) regional economic environment. Data assessment showed that the cumulative mortality rate of firms on 31st December 2013 is over 20 %. Interpretation of the regression model revealed that he probability of firms’ survival increases with higher investment, firm age and regional business concentration, whereas the number of applications made by firms has a negative impact on their survival. So it seems that for subsidized firms the amount of investment is as important as its frequency.

Steady tourists’ relationship with a mature destination. The case of Portugal

This article assesses how the last-visit features and the socio-demographic profile of tourists moderate repeat-visit patterns to Portugal, a mature destination where the persistence of loyal visitors has made its mark on tourism development. The methodology used is a survival analysis to assess the tourists’ repeat patterns. To test the model, a database of 4612 observations was employed, which was obtained from a survey of international tourists. Only repeat visitors with more than two visits over the years were considered for the purpose of the research. The study finds that a combination of socio-demographic characteristics, expectation/satisfaction, trip purpose, pull motivations and regional destination has a positive effect on repeat patterns, confirming that tourists’ willingness to repeat visits to Portugal is far from ceasing. Based on those tourists to Portugal who declared when they started to visit the country, and the number of years of their repeat visits, the article contributes to the literature by introducing new methods of assessing tourists’ repeat patterns for destinations.

STAR Modeling of Pulmonary Tuberculosis Delay-Time in Diagnosis

Understanding what characterizes patients who suffer great delays in diagnosis of pulmonary tuberculosis is of great importance when establishing screening strategies to better control TB. Greater delays in diagnosis imply a higher chance for susceptible individuals to become infected by a bacilliferous patient. A Structured Additive Regression model is attempted in this study in order to potentially contribute to a better characterization of bacilliferous prevalence in Portugal. The main findings suggest the existence of significant regional differences in Portugal, with the fact of being female and/or alcohol dependent contributing to an increased delay-time in diagnosis, while being dependent on intravenous drugs and/or being diagnosed with HIV are factors that increase the chance of an earlier diagnosis of pulmonary TB. A decrease in 2010 to 77% on treatment success in Portugal underlines the importance of conducting more research aimed at better TB control strategies.