Efigénio Rebelo

COMBINING BEHAVIORAL THEORIES TO PREDICT RECYCLING INVOLVEMENT

This study merges insights from two well-known attitude-behavior theories—the theory of planned behavior and the model of altruistic behavior—with elements from two broader models from environmental psychology—the model of environmental behavior and the model of environmental concern—to propose a comprehensive structural equation model to explain recycling behavior. The specified model is estimated using data from the most recent national survey performed in Portugal on the subject. In general, results support the use of the theory of planned behavior as a basis for modeling recycling participation. However, the integration of this theory with the Schwartzs model is only partially achieved. Another important finding is that recycling behavior is indirectly determined by personal psychological features, such as social conscience, but not by general ecological attitudes.

Behavioral Determinants of Household Recycling Participation The Portuguese Case

Recycling is an effective resource-recovery mechanism with significant economic and environmental benefits. The success of the Portuguese Integrated System of Packaging Waste Management (SIGRE), managed since 1997 by a private company called SPV, depends on a growing and sustained participation of consumers through the correct separation and disposal of recyclable waste. Within this frame-work, the present research applies different multivariate data analysis techniques to some specific questions of the most recent national survey about recycling behavior with the purpose of identifying factors able to motivate consumers to participate in the selective-collection program. Results suggest differences between recyclers and nonrecyclers concerning specific attitudes toward recycling and also the need of improving the provided logistic service. This research proposes also some guidelines that may be considered in future communication and intervention strategies, designed to promote recycling participation.

Determinants of tourism return behaviour

Recent studies demonstrate that an increased number of Portuguese tourists choose Brazil as a tourism destination. Based on a literature review on the determinants of tourism demand, this study proposes a logit model that explains the probability of returning to this destination as a function of motivations, expectations, travel characteristics and the tourists socio-demographic profile. After formulating the model, defining and testing of the six research hypotheses takes place. The study sample comprises 112 Portuguese tourists travelling to Brazil. The data fit the model adequately and the paper concludes with the authors discussing the theoretical and marketing implications.

Nonnested Testing for Competing Autoregressive Dynamic Models Estimated by Instrumental Variables

In this work we investigate nonnested tests for two competing univariate dynamic linear models with autoregressive disturbances, where the motivation for instrumental variable estimation is mainly due to the recognized presence of current endogenous variables in the regression function, either in one or both models. As the previous transformation of both models yields regression functions which are nonlinear in the parameters, the attractive Gauss-Newton regression (GNR) approach, firstly advocated by Davidson and Mackinnon (1981), will be used to obtain the results.

Knowledge Transfer Through Journals

Abstract In order to facilitate transfer of knowledge to and within tourism, it is necessary to understand research trends and to critically analyze their contributions to knowledge formation. This chapter examine articles published in Annals of Tourism Research, Journal of Travel Research, Tourism Management, and Journal of Travel & Tourism Marketing, between 2000 and 2010, using STATIS to explore the main changes and trends that occurred in terms of research themes. Study findings indicate similarities and differences between the four journals under analysis, providing clues for a better understanding of the objectives, limitations, and trends in tourism research as well as the positioning of each academic journal.