Local Agenda 21 is essentially a process of democratic practicing, insofar as it involves sharing political competencies in decision making by the local authorities, and the mobilisation of all citizens and civil society organisations in the process. It is, thus, a course of action in which the willingness and openness of local political leaders is as important as the ability of citizens to take the initiative of learning about and getting involved in local public life. Unfortunately, there are no more than twenty LA21 processes running in Portugal, and most of them do not fulfil all the parameters required This paper discusses some hypotheses on the lack of success of LA21 in Portugal, which are related to structural political conditions for local governance and public participation. Resorting to some surveys on environmental policy issues (applied to both the municipal leaders and the population), the aim is to characterise the trends of mobilisation on local sustainability in Portuguese society, particularly with regard to the citizenry and local administrations.
Abstract:The aim of this study was to identify, characterise, collect and systematise data on initiatives of environmental education in Portugal. Currently, there is no integrated governmental program on environmental education in this country, but only unrelated voluntary initiatives. Although surveys indicated a growing concern by young people on environmental issues, systematic studying on the issue was lacking. The field seemed to be characterised by wide diversity and disperse voluntary action by non-governmental agents and self-mobilised teachers. In the context of the Decade Dedicated to Education for Sustainable Development of UNESCO, governmental and non-governmental organisations dedicated to the environment now have a new opportunity to enhance and coordinate contributions to make environmental issues a priority for the next generation.
BackgroundThe present study protocol is designed to assess the relationship between outdoor air pollution and low birth weight and preterm births outcomes performing a semi-ecological analysis. Semi-ecological design studies are widely used to assess effects of air pollution in humans. In this type of analysis, health outcomes and covariates are measured in individuals and exposure assignments are usually based on air quality monitor stations. Therefore, estimating individual exposures are one of the major challenges when investigating these relationships with a semi-ecologic design.Methods/DesignSemi-ecologic study consisting of a retrospective cohort study with ecologic assignment of exposure is applied. Health outcomes and covariates are collected at Primary Health Care Center. Data from pregnant registry, clinical record and specific questionnaire administered orally to the mothers of children born in period 2007-2010 in Portuguese Alentejo Litoral region, are collected by the research team. Outdoor air pollution data are collected with a lichen diversity biomonitoring program, and individual pregnancy exposures are assessed with spatial geostatistical simulation, which provides the basis for uncertainty analysis of individual exposures. Awareness of outdoor air pollution uncertainty will improve validity of individual exposures assignments for further statistical analysis with multivariate regression models.DiscussionExposure misclassification is an issue of concern in semi-ecological design. In this study, personal exposures are assigned to each pregnant using geocoded addresses data. A stochastic simulation method is applied to lichen diversity values index measured at biomonitoring survey locations, in order to assess spatial uncertainty of lichen diversity value index at each geocoded address. These methods assume a model for spatial autocorrelation of exposure and provide a distribution of exposures in each study location. We believe that variability of simulated exposure values at geocoded addresses will improve knowledge on variability of exposures, improving therefore validity of individual exposures to input in posterior statistical analysis.
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