Economic cycles, asymmetric crises and tourism competitiveness: emerging versus mature destinations

This paper considers the influence of business cycles and economic crises on tourism destinations competitiveness. This competitiveness is measured by its share in world tourism. Analysing a period of forty years, the differential permanent or temporary effects that economic crises has on competitiveness of mature and emerging destinations are observed. Furthermore, it identifies the economic transmission mechanisms operating within this context, analysing them using the framework of the most relevant explanatory models of tourism destination competitiveness. The preliminary results obtained suggest that the effects of these shocks on competitiveness are not neutral. In mature destinations the negative effects are more persistent in highly intensive crises. In emerging destinations with a growing natural trend on tourism demand, the effects of the economic crises are softer and limited, reinforcing the process of convergence between destinations. This effect works through two basic transmission mechanisms: the reduction of internal and external tourism demand and the decrease on investment.

Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy

In this letter, a new approach for crop phenology estimation with remote sensing is presented. The proposed methodology is aimed to exploit tools from a dynamical system context. From a temporal sequence of images, a geometrical model is derived, which allows us to translate this temporal domain into the estimation problem. The evolution model in state space is obtained through dimensional reduction by a principal component analysis, defining the state variables, of the observations. Then, estimation is achieved by combining the generated model with actual samples in an optimal way using a Kalman filter. As a proof of concept, an example with results obtained with this approach over rice fields by exploiting stacks of TerraSAR-X dual polarization images is shown.

How Does Intimate Partner Violence Differ Depending on Level of Rurality of Residential Area in Spain?

Intimate partner violence (IPV) is recognized as a worldwide public health problem. Most theories ascribe IPV to individual, family, or cultural factors. Authors analyzed different residential areas in Spain in terms of IPV frequency as well as its impact on health and the use of services. A standardized self-administered cross-sectional survey was administered to ever-partnered adult women ages 18 to 70 years receiving care at primary health care centers (N = 10,322). Logistic regression analyzed the association between the level of rurality and health indicators, IPV, and use of services. The lowest frequency of IPV among women is reflected in higher rurality. Women of medium and low rurality presented a poorer self-perceived health and more physical health problems. Women from medium and low rurality areas declared seeking health services more frequently. These results show the importance of the environment in health and indicate the need for research on urban–rural differences in health problems to develop specific public health programs for each country.

Transnationality and Social Integration within Lifestyle Migration. A comparative study of two cases in Mexico and Spain

International mobility in search of amenity spaces for long-stay tourism is a growing phenomenon. U.S. citizens have practiced this lifestyle migration for decades to Latin American countries, especially to Mexico. British citizens move to Spain for similar reasons. In this paper we make a comparative analysis of these two international contexts in order to gain greater insight into the diversity and breadth of this type of migration. The study uses quantitative surveys administered at each field site. First, we analyze the phenomenon of U.S. citizens’ mobility to Mazatlán, Mexico. Second, we analize citizens from the United Kingdom residing in El Campello, Spain. In particular we compare their socio-demographic profiles, transnational practices and some patterns of social integration.

Economic crises and tourism competitiveness: A Markov swtiching regression approach

Authors discuss the effects that economic crises generate on the global market shares of tourism destinations, through a series of potential transmission mechanisms based on the main economic competitiveness determinants identified in the previous literature using a non-linear approach. Specifically a Markov Switching Regression approach is used to estimate the effect of two basic transmission mechanisms: reductions of internal and external tourism demands and falling investment.

Influence of Incidence Angle on the Coherent Copolar Polarimetric Response of Rice at X-Band

The coherent nature of the acquisition by TerraSAR-X of both copolar channels (HH and VV) enables the generation of many different polarimetric observables with physical interpretation, as have recently been used for monitoring rice fields. In this letter, the influence of incidence angle upon these polarimetric observables is analyzed by comparing three stacks of images that were acquired simultaneously at different incidence angles (22°, 30°, and 40°) during a whole cultivation campaign. We show that the response of observables related to dominance (entropy, ratios of components) and type of scattering mechanisms (alpha angles) is not greatly influenced by incidence angle at some stages: early and advanced vegetative phases, and maturation. Moreover, the acquisition geometry drives the sensitivity to the presence of the initial stems and tillers, being detected earlier at shallower angles. This analysis is a necessary step before studying potential methodologies for combining different orbits and beams for reducing the time between acquisitions for monitoring purposes.

A Hardware-Software Approach for On-Line Soft Error Mitigation in Interrupt-Driven Applications

Integrity assurance of configuration data has a significant impact on microcontroller-based systems reliability. This is especially true when running applications driven by events which behavior is tightly coupled to this kind of data. This work proposes a new hybrid technique that combines hardware and software resources for detecting and recovering soft-errors in system configuration data. Our approach is based on the utilization of a common built-in microcontroller resource (timer) that works jointly with a software-based technique, which is responsible to periodically refresh the configuration data. The experiments demonstrate that non-destructive single event effects can be effectively mitigated with reduced overheads. Results show an important increase in fault coverage for SEUs and SETs, about one order of magnitude.