Demographic projections for Latin American countries

Includes bibliography

Economic and demographic projections /

Cover title.

Uniform economic/demographic projections, 1970-2000 /

Prepared by David E. Scoville, and others.

Future Students, Future Revenues: Thriving in a Decade of Demographic Decline:

Over the past decade, universities were able to grow revenue primarily by growing enrollment and increasing net tuition per student. But demographic and economic changes will make it increasingly difficult for all but a handful of institutions to grow tuition revenue at historic rates. Despite rising access rates, demographic projections suggest that the number of high school graduates will decline over the coming decade, leading to a dramatic drop-off in the overall rate of enrollment growth. The traditional population of 18- to 22-year-olds will remain a majority at most institutions, but enrollment growth will come primarily from other student segments. Populations such as community college transfers, international undergraduates, professional master’s students, and adult degree completers offer the best opportunities to grow enrollment and tuition revenue. Serving them well requires significant investments, new organizational models, and cultural change on campus. This can be done in a financially sustainable way—fulfilling the university’s mission to serve a diverse range of students while providing financial resources to support the core. This brief analyzes the forces that will shape higher education over the next decade and highlights the strategies and competencies that colleges and universities will need to be successful.

Rental housing provision for lower income older Australians

The number of people aged 65 years or over in low-income rental households will more than double by 2026. The social housing system, at its current growth rate, will not meet their needs. This research involved demographic projections of older renters, examined their housing preferences, and analysed the supply capacity of the public and private rental sectors to respond.

Métodos estatísticos aplicados à modelação de dados oncológicos

RESUMO: A estrutura demográfica portuguesa é marcada por baixas taxas de natalidade e mortalidade, onde a população idosa representa uma fatia cada vez mais representativa, fruto de uma maior longevidade. A incidência do cancro, na sua generalidade, é maior precisamente nessa classe etária. A par de outras doenças igualmente lesivas (e.g. cardiovasculares, degenerativas) cuja incidência aumenta com a idade, o cancro merece relevo. Estudos epidemiológicos apresentam o cancro como líder mundial na mortalidade. Em países desenvolvidos, o seu peso representa 25% do número total de óbitos, percentagem essa que mais que duplica noutros países. A obesidade, a baixa ingestão de frutas e vegetais, o sedentarismo, o consumo de tabaco e a ingestão de álcool, configuram-se como cinco dos fatores de risco presentes em 30% das mortes diagnosticadas por cancro. A nível mundial e, em particular no Sul de Portugal, os cancros do estômago, recto e cólon apresentam elevadas taxas de incidência e de mortalidade. Do ponto de vista estritamente económico, o cancro é a doença que mais recursos consome enquanto que do ponto de vista físico e psicológico é uma doença que não limita o seu raio de ação ao doente. O cancro é, portanto, uma doença sempre atual e cada vez mais presente, pois reflete os hábitos e o ambiente de uma sociedade, não obstante as características intrínsecas a cada indivíduo. A adoção de metodologia estatística aplicada à modelação de dados oncológicos é, sobretudo, valiosa e pertinente quando a informação é oriunda de Registos de Cancro de Base Populacional (RCBP). A pertinência é justificada pelo fato destes registos permitirem aferir numa população específica, o risco desta sofrer e/ou vir a sofrer de uma dada neoplasia. O peso que as neoplasias do estômago, cólon e recto assumem foi um dos elementos que motivou o presente estudo que tem por objetivo analisar tendências, projeções, sobrevivências relativas e a distribuição espacial destas neoplasias. Foram considerados neste estudo todos os casos diagnosticados no período 1998-2006, pelo RCBP da região sul de Portugal (ROR-Sul). O estudo descritivo inicial das taxas de incidência e da tendência em cada uma das referidas neoplasias teve como base uma única variável temporal - o ano de diagnóstico - também designada por período. Todavia, uma metodologia que contemple apenas uma única variável temporal é limitativa. No cancro, para além do período, a idade à data do diagnóstico e a coorte de nascimento, são variáveis temporais que poderão prestar um contributo adicional na caracterização das taxas de incidência. A relevância assumida por estas variáveis temporais justificou a sua inclusão numaclasse de modelos designada por modelos Idade-Período-Coorte (Age-Period-Cohort models - APC), utilizada na modelação das taxas de incidência para as neoplasias em estudo. Os referidos modelos permitem ultrapassar o problema de relações não lineares e/ou de mudanças súbitas na tendência linear das taxas. Nos modelos APC foram consideradas a abordagem clássica e a abordagem com recurso a funções suavizadoras. A modelação das taxas foi estratificada por sexo. Foram ainda estudados os respectivos submodelos (apenas com uma ou duas variáveis temporais). Conhecido o comportamento das taxas de incidência, uma questão subsequente prende-se com a sua projeção em períodos futuros. Porém, o efeito de mudanças estruturais na população, ao qual Portugal não é alheio, altera substancialmente o número esperado de casos futuros com cancro. Estimativas da incidência de cancro a nível mundial obtidas a partir de projeções demográficas apontam para um aumento de 25% dos casos de cancro nas próximas duas décadas. Embora a projeção da incidência esteja associada a alguma incerteza, as projeções auxiliam no planeamento de políticas de saúde para a afetação de recursos e permitem a avaliação de cenários e de intervenções que tenham como objetivo a redução do impacto do cancro. O desconhecimento de projeções da taxa de incidência destas neoplasias na área abrangida pelo ROR-Sul, levou à utilização de modelos de projeção que diferem entre si quanto à sua estrutura, linearidade (ou não) dos seus coeficientes e comportamento das taxas na série histórica de dados (e.g. crescente, decrescente ou estável). Os referidos modelos pautaram-se por duas abordagens: (i)modelos lineares no que concerne ao tempo e (ii) extrapolação de efeitos temporais identificados pelos modelos APC para períodos futuros. Foi feita a projeção das taxas de incidência para os anos de 2007 a 2010 tendo em conta o género, idade e neoplasia. É ainda apresentada uma estimativa do impacto económico destas neoplasias no período de projeção. Uma questão pertinente e habitual no contexto clínico e a que o presente estudo pretende dar resposta, reside em saber qual a contribuição da neoplasia em si para a sobrevivência do doente. Nesse sentido, a mortalidade por causa específica é habitualmente utilizada para estimar a mortalidade atribuível apenas ao cancro em estudo. Porém, existem muitas situações em que a causa de morte é desconhecida e, mesmo que esta informação esteja disponível através dos certificados de óbito, não é fácil distinguir os casos em que a principal causa de morte é devida ao cancro. A sobrevivência relativa surge como uma medida objetiva que não necessita do conhecimento da causa específica da morte para o seu cálculo e dar-nos-á uma estimativa da probabilidade de sobrevivência caso o cancro em análise, num cenário hipotético, seja a única causa de morte. Desconhecida a principal causa de morte nos casos diagnosticados com cancro no registo ROR-Sul, foi determinada a sobrevivência relativa para cada uma das neoplasias em estudo, para um período de follow-up de 5 anos, tendo em conta o sexo, a idade e cada uma das regiões que constituem o registo. Foi adotada uma análise por período e as abordagens convencional e por modelos. No epílogo deste estudo, é analisada a influência da variabilidade espaço-temporal nas taxas de incidência. O longo período de latência das doenças oncológicas, a dificuldade em identificar mudanças súbitas no comportamento das taxas, populações com dimensão e riscos reduzidos, são alguns dos elementos que dificultam a análise da variação temporal das taxas. Nalguns casos, estas variações podem ser reflexo de flutuações aleatórias. O efeito da componente temporal aferida pelos modelos APC dá-nos um retrato incompleto da incidência do cancro. A etiologia desta doença, quando conhecida, está associada com alguma frequência a fatores de risco tais como condições socioeconómicas, hábitos alimentares e estilo de vida, atividade profissional, localização geográfica e componente genética. O “contributo”, dos fatores de risco é, por vezes, determinante e não deve ser ignorado. Surge, assim, a necessidade em complementar o estudo temporal das taxas com uma abordagem de cariz espacial. Assim, procurar-se-á aferir se as variações nas taxas de incidência observadas entre os concelhos inseridos na área do registo ROR-Sul poderiam ser explicadas quer pela variabilidade temporal e geográfica quer por fatores socioeconómicos ou, ainda, pelos desiguais estilos de vida. Foram utilizados os Modelos Bayesianos Hierárquicos Espaço-Temporais com o objetivo de identificar tendências espaço-temporais nas taxas de incidência bem como quantificar alguns fatores de risco ajustados à influência simultânea da região e do tempo. Os resultados obtidos pela implementação de todas estas metodologias considera-se ser uma mais valia para o conhecimento destas neoplasias em Portugal.------------ABSTRACT: mortality rates, with the elderly being an increasingly representative sector of the population, mainly due to greater longevity. The incidence of cancer, in general, is greater precisely in that age group. Alongside with other equally damaging diseases (e.g. cardiovascular,degenerative), whose incidence rates increases with age, cancer is of special note. In epidemiological studies, cancer is the global leader in mortality. In developed countries its weight represents 25% of the total number of deaths, with this percentage being doubled in other countries. Obesity, a reduce consumption of fruit and vegetables, physical inactivity, smoking and alcohol consumption, are the five risk factors present in 30% of deaths due to cancer. Globally, and in particular in the South of Portugal, the stomach, rectum and colon cancer have high incidence and mortality rates. From a strictly economic perspective, cancer is the disease that consumes more resources, while from a physical and psychological point of view, it is a disease that is not limited to the patient. Cancer is therefore na up to date disease and one of increased importance, since it reflects the habits and the environment of a society, regardless the intrinsic characteristics of each individual. The adoption of statistical methodology applied to cancer data modelling is especially valuable and relevant when the information comes from population-based cancer registries (PBCR). In such cases, these registries allow for the assessment of the risk and the suffering associated to a given neoplasm in a specific population. The weight that stomach, colon and rectum cancers assume in Portugal was one of the motivations of the present study, that focus on analyzing trends, projections, relative survival and spatial distribution of these neoplasms. The data considered in this study, are all cases diagnosed between 1998 and 2006, by the PBCR of Portugal, ROR-Sul.Only year of diagnosis, also called period, was the only time variable considered in the initial descriptive analysis of the incidence rates and trends for each of the three neoplasms considered. However, a methodology that only considers one single time variable will probably fall short on the conclusions that could be drawn from the data under study. In cancer, apart from the variable period, the age at diagnosis and the birth cohort are also temporal variables and may provide an additional contribution to the characterization of the incidence. The relevance assumed by these temporal variables justified its inclusion in a class of models called Age-Period-Cohort models (APC). This class of models was used for the analysis of the incidence rates of the three cancers under study. APC models allow to model nonlinearity and/or sudden changes in linear relationships of rate trends. Two approaches of APC models were considered: the classical and the one using smoothing functions. The models were stratified by gender and, when justified, further studies explored other sub-models where only one or two temporal variables were considered. After the analysis of the incidence rates, a subsequent goal is related to their projections in future periods. Although the effect of structural changes in the population, of which Portugal is not oblivious, may substantially change the expected number of future cancer cases, the results of these projections could help planning health policies with the proper allocation of resources, allowing for the evaluation of scenarios and interventions that aim to reduce the impact of cancer in a population. Worth noting that cancer incidence worldwide obtained from demographic projections point out to an increase of 25% of cancer cases in the next two decades. The lack of projections of incidence rates of the three cancers under study in the area covered by ROR-Sul, led us to use a variety of forecasting models that differ in the nature and structure. For example, linearity or nonlinearity in their coefficients and the trend of the incidence rates in historical data series (e.g. increasing, decreasing or stable).The models followed two approaches: (i) linear models regarding time and (ii) extrapolation of temporal effects identified by the APC models for future periods. The study provide incidence rates projections and the numbers of newly diagnosed cases for the year, 2007 to 2010, taking into account gender, age and the type of cancer. In addition, an estimate of the economic impact of these neoplasms is presented for the projection period considered. This research also try to address a relevant and common clinical question in these type of studies, regarding the contribution of the type of cancer to the patient survival. In such studies, the primary cause of death is commonly used to estimate the mortality specifically due to the cancer. However, there are many situations in which the cause of death is unknown, or, even if this information is available through the death certificates, it is not easy to distinguish the cases where the primary cause of death is the cancer. With this in mind, the relative survival is an alternative measure that does not need the knowledge of the specific cause of death to be calculated. This estimate will represent the survival probability in the hypothetical scenario of a certain cancer be the only cause of death. For the patients with unknown cause of death that were diagnosed with cancer in the ROR-Sul, the relative survival was calculated for each of the cancers under study, for a follow-up period of 5 years, considering gender, age and each one of the regions that are part the registry. A period analysis was undertaken, considering both the conventional and the model approaches. In final part of this study, we analyzed the influence of space-time variability in the incidence rates. The long latency period of oncologic diseases, the difficulty in identifying subtle changes in the rates behavior, populations of reduced size and low risk are some of the elements that can be a challenge in the analysis of temporal variations in rates, that, in some cases, can reflect simple random fluctuations. The effect of the temporal component measured by the APC models gives an incomplete picture of the cancer incidence. The etiology of this disease, when known, is frequently associated to risk factors such as socioeconomic conditions, eating habits and lifestyle, occupation, geographic location and genetic component. The "contribution"of such risk factors is sometimes decisive in the evolution of the disease and should not be ignored. Therefore, there was the need to consider an additional approach in this study, one of spatial nature, addressing the fact that changes in incidence rates observed in the ROR-Sul area, could be explained either by temporal and geographical variability or by unequal socio-economic or lifestyle factors. Thus, Bayesian hierarchical space-time models were used with the purpose of identifying space-time trends in incidence rates together with the the analysis of the effect of the risk factors considered in the study. The results obtained and the implementation of all these methodologies are considered to be an added value to the knowledge of these neoplasms in Portugal.

Can Migrants save Greece from Ageing? A Computable General Equilibrium Approach using G-AMOS.

The population of Greece is projected to age in the course of the next three decades. This paper combines demographic projections with a multi-period economic Computable General Equilibrium (CGE) modelling framework to assess the macroeconomic impact of these future demographic trends. The simulation strategy adopted in Lisenkova et. al. (2008) is also employed here. The size and age composition of the population in the future depends on current and future values of demographic parameters such as the fertility, mortality rates and the level of annual net migration. We use FIV-FIV software in order to project population changes for 30 years. Total population and working age population changes are introduced to the GAMOS modelling framework calibrated for the Greek economy for the year 2004. Positive net migration is able to cancel the negative impacts of an ageing population that would otherwise occur as a result of the shrinking of the labour force. The policy implication is that a viable, long-lasting migration policy should be implemented, while the importance of policies that could increase fertility should also be considered.

Spanish pension system: population aging and immigration policy

There is a widespread consensus in the literature that, as consequence of the demographic transition, the current Spanish pension system will become unsustainable in the next decades. In this article we evaluate the sustainability of the contributory pensions' sub-system, taking into account the demographic projections by the Spanish Statistical Office (INE). A baseline scenario is projected as well as several reforms are simulated, focusing on: (i) selective immigration policy, (ii) changes in the way of setting the pensions and (iii) increase of the legal age of retirement up to 68. The main results are the following. The current system would not incur deficits until 2018, from then deficits will begin to be accumulated. The expenditure in pensions practically would double (from 8.3 % in 2005 to 17.2 % in 2050). A selective immigration policy -towards foreign young people- would help, but does not solve the long-term sustainability of the current system. A policy that combines a pensions' growth at a pace lower than productivity growth and extends the legal age of retirement up to 68 would give solvency to the system beyond 2029

Impact des maladies rhumatismales sur la population âgée en Suisse et sa consommation de soins

Les maladies rhumatismales sont fréquemment observées chez les personnes âgées et ont un impact considérable sur la qualité de vie des personnes en souffrant. Peu d'études suisses sur la situation épidémiologique et sur l'impact de ce type de maladies sur la consommation des services de santé existent. Cette thèse a pour but d'étudier les connaissances actuelles à partir de la littérature suisse et étrangère et d'établir un bilan en Suisse au moyen d'une enquête de population effectuée en 1997. Une revue systématique de littérature a été effectuée. En dépit d'une grande variété des approches méthodologiques rendant délicates les comparaisons géographiques et temporelles, la prévalence des maladies rhumatismales chez les personnes de 65 ans et plus semble être homogène entre pays et stable temporellement. particulièrement dès 1980. Celle-ci est élevée et augmente rapidement avec le très grand âge. De plus, les femmes sont plus fréquemment atteintes que les hommes. Notre revue montre que le recours aux soins ambulatoires (médecins, chiropraticiens, traitements ambulatoires des hôpitaux) lié aux maladies rhumatismales est important. L'impact de ces maladies sur les hospitalisations est, par contre, moins clairement établi. Les nouvelles générations de personnes en souffrant semblent avoir plus recours aux services de santé que les précédentes. Ces maladies sont aussi à l'origine d'une forte consommation d'anti-inflammatoires non-stéroïdiens avec comme conséquence une multitude de complications. En dépit de son efficacité et de son utilité, le recours à l'arthroplastie est sous- utilisé. Notre analyse se base sur une enquête réalisée auprès d'un échantillon représentatif des individus âgés de 15 ans et plus résidant de manière permanente en Suisse en 1997 : la prévalence des maladies rhumatismales en Suisse s'élève à 41 % chez les personnes âgées de 65 ans et plus, dont 48 % chez les femmes et 31 % chez les hommes. Ces prévalences sont inférieures à celles relevées dans la littérature probablement en raison de notre définition relativement restrictive des maladies rhumatismales. Ces dernières augmentent de 50 % le nombre attendu de consultations chez un médecin ou un chiropraticien et de 30 % le nombre attendu d'hospitalisations. Les personnes souffrantes ont. en outre, une probabilité de recours aux services de Soins à domicile 1,7 fois plus élevé que les autres. Aucun impact sur le nombre de traitements ambulatoires en milieu hospitalier n'a été trouvé. Nos résultats sont comparables à ceux relevés dans la littérature internationale et suisse, sauf pour les traitements ambulatoires des hôpitaux. En 1990, sur les 983'400 personnes de 65 ans et plus (recensement fédéral de la population de 1990), 403'200 personnes souffraient de maladies rhumatismales. Quelque 5'334'900 consultations chez un médecin ou un chiropraticien, 4'959'300 consultations chez un médecin et 216'800 hospitalisations étaient imputables aux personnes de 65 ans et plus toutes causes de consultations confondues, dont 1'008'000 consultations chez un médecin/chiropraticien, 927'300 chez un médecin et 98'500 hospitalisations imputables aux maladies rhumatismales. Selon ie scénario (( tendance )) des projections démographiques publiées par l'Office Fédéral de la Statistique. d'ici 2040, le nombre de personnes souffrant de maladies rhumatismales en Suisse risque d'augmenter de 80 % (en supposant que la prévalence reste stable), affectant 726'500 sur 1'772'000 personnes de 65 ans et plus. Cette augmentation est la conséquence de l'accroissement prévu de la population de 65 ans et plus dans la population générale. Le nombre global de consultatiordhospitalisations risque d'augmenter dans les mêmes proportions si le recours aux services de santé reste stable. En effet. en 2040, quelque 9'613'100 consultations chez un médecinichiropraticien, 8'936'200 consultations chez un médecin et 390'700 hospitalisations pourraient être imputables aux personnes de 65 ans et plus. dont 1'8 16'300 consultations chez un médecin/chiropraticien, 1'67 1'000 consultations chez un médecin et 1 90'600 hospitalisations en raison de maladies rhumatismales. Une légère diminution du nombre de personnes atteintes de maladies rhumatismales. ainsi que du recours aux services de santé engendré par ces maladies. est attendue dès 3040. Le nombre de personnes souffrant de maladies rhumatismales et le nombre de consultations/ hospitalisations associées risquant d'augmenter de façon considérable, il est nécessaire de freiner cette progression. Des mesures préventives primaires, secondaires ou tertiaires peuvent diminuer la prévalence des maladies rhumatismales et l'impact de celles-ci sur la consommation des services de santé.<br/><br/>Rheumatic diseases are frequently observed in elderly people and have an important impact on tlieir life qurlity. There are fe1.v Swiss stuciies on the epiciemio!ogica! situttien and on the impact of such diseases on the use of health services. This thesis aims at studying the current knowledge based on Swiss and international literature and at establishing the situation in Switzerland from a population survey conducted in 1997. A systeinatic literature review lias been carried out. Despite a large range of methods making a comparisoii diffcult, the prevalence of rheumatic diseases seems to be homogeneous in different countries and stable. especially since 1980. It is high and increases rapidly with age. Furthermore, \niorneil suffer more frequently thaii men. Our review shows that the use of ambulatory care linked to rheumatic diseases is important. On the contrary, the impact of such diseases on hospitalization is less clearly established. New generations seem to consult more. Rheumatic diseases are also at the origin of a strong consumptioii of non-steroidal anti- inflammatory drugs \vitIl potential severe consequences. Despite its effectiveness and efficiency, arthroplasty is underused. Our analysis is based 011 a survey of Swiss permanent residents aged 15 or more in 1997. Based on Our analysis, the prevalence of rheumatic diseases in Switzerland is 41 % for elderly people (48 96 for women and 31 % for men). Theses prevalences are smaller than those found in the literature because of our relatively strict definition of rheumatic diseases. The latter diseases increase of about 50 o/o the expected number of consultations (chiropractor included or not) and of about 30 960 the expected number of hospitalizations. The affected persons have a probability of home care use 1.7 times higlier than the others. No impact on the number of outpatient care provided by hospitals has been found. Our results are comparable to those found in the international and Swiss literature, except for hospital outpatient care. In 1990, of 983,400 perçons aged 65 and older, 403,200 persons suffered from rheumatic diseases. 5,334,900 consultations by a physician or a chiropractor, 4,959,300 consultations by a physician and 2 16,800 hospitalizations were attributed to the elderly whatever, the reason of consultation, of which 1,008,000 consultations by a physicianlchiropractor, 927,300 by a physician, and 98,500 hospitalizations are due to rheumatic diseases. According to the "tendance" scenario of demographic projections published by the Swiss Federal Office of Statistics, until 2040 the number of persons suffering from rheumatic diseases will increase of 80 % if the prevalence stays stable, affecting 736,500 of 1,772,000 perçons of 65 and older. This increase is due to the increase of the percentage of persons 65 and older in the population. The global number of consultationshospitalizations will increase similarly if the use of health services stays stable. In 2040, 9,613,l 00 consultations by a physiciaidchiropractor, 8,936,200 Consultations by a physician and 390,700 hospitalizations could be attributed to the persons aged 65 and older, of which 1,816,300 consultations by a physician, 1,671,000 consultations by a physician/chiropractor and 109,600 hospitalizations will be due to the rheumatic diseases. However a small decrease of the number of affected perçons and of the subsequent use of health services is expected after 2040. The number of affected elderly people and the volume of conçultations/hospitalizations are expected to increase and it ir necessx-y to slow down this progression. Preventive interventions, primary, secondary or tertiary, can decrease the prevalence of rheumatic diseases and the impaci on the consumption of health services.

Social security in the english-speaking Caribbean

Includes bibliography

Remaining lifetime and absolute 10-year probabilities of osteoporotic fracture in Swiss men and women

SUMMARY: Remaining lifetime and absolute 10-year probabilities for osteoporotic fractures were determined by gender, age, and BMD values. Remaining lifetime probability at age 50 years was 20.2% in men and 51.3% in women and increased with advancing age and decreasing BMD. The study validates the elements required to populate a Swiss-specific FRAX model. INTRODUCTION: Switzerland belongs to high-risk countries for osteoporosis. Based on demographic projections, burden will still increase. We assessed remaining lifetime and absolute 10-year probabilities for osteoporotic fractures by gender, age and BMD in order to populate FRAX algorithm for Switzerland. METHODS: Osteoporotic fracture incidence was determined from national epidemiological data for hospitalised fractured patients from the Swiss Federal Office of Statistics in 2000 and results of a prospective Swiss cohort with almost 5,000 fractured patients in 2006. Validated BMD-associated fracture risk was used together with national death incidence and risk tables to determine remaining lifetime and absolute 10-year fracture probabilities for hip and major osteoporotic (hip, spine, distal radius, proximal humerus) fractures. RESULTS: Major osteoporotic fractures incidence was 773 and 2,078 per 100,000 men and women aged 50 and older. Corresponding remaining lifetime probabilities at age 50 were 20.2% and 51.3%. Hospitalisation for clinical spine, distal radius, and proximal humerus fractures reached 25%, 30% and 50%, respectively. Absolute 10-year probability of osteoporotic fracture increased with advancing age and decreasing BMD and was higher in women than in men. CONCLUSION: This study validates the elements required to populate a Swiss-specific FRAX model, a country at highest risk for osteoporotic fractures.

The Economic Impacts Of Climate Change On The Chilean Agricultural Sector

The agricultural sector could be one of the most vulnerable economic sectors to the impacts of climate change in the coming decades. Climate change impacts are related to changes in the growth period, extreme weather events, and changes in temperature and recipitation patterns, among others. All of these impacts may have significant consequences on agricultural production(Bates, et al.2008. A main issue regarding climate change impacts is related to the uncertainty associated with their occurrence. Climate change impacts can bestimated with simulation models based on several assumptions, among which the future patterns of emissions of greenhouse g asses are quite likely the most relevant, driving the development of future scenarios, i.e. plausible visions of how the future may unfold. Those scenarios are developed as storylines associated with different assumptions about climate and socioeconomic conditions and emissions, with reference figures, such as demographic projections, average global temperatures, etc.(Intergovernmental Panel on Climate Change 2000). Within this context, climate change impact assessment is forced to consider multiple and interconnected sources of uncertainty in order to produce valuable information for policymakers.

Crossing frontiers between tourism and demography. An empirical analysis based on European travellers’ behaviour

This paper aims to establish possible tourism demand scenarios of European travellers to Portugal based on the relationship with changing population structures. A combination of the EuROBAROMETER report 370 (“Attitudes of Europeans towards Tourism in 2013”) and the cohort-component method for population projections will allow the development of different possible tourism demand scenarios. Following the European report, individuals who travelled in 2013 were most likely to live in a household with two or more individuals. Thus, if elderly couples are together till later in their life and in better physiological shape, it is possible that the number of elderly individuals travelling for tourism purposes will increase in the near future. If we can expect tourists from developing countries to be younger due to their demographic dynamics than those from developed countries, where the ageing population is growing fast, we can expect that the percentage of the elderly among tourists will increase. Furthermore, the 2013 European report found that the combination of socio-demographic variables, such as, age, population, gender, household dimension, country of residence and trip purpose explained tourism demand scenarios for Portugal, confirming that seniors and families evidence a paramount sense of importance for the destination. In the literature there is a lack of discussion about the effects of demography in the future and the role of an ageing population in tourism demand choice patterns. We aim to contribute to filling this gap. Consequently, we strongly believe that this paper contributes to the literature by introducing a new field of discussion about the importance of demographic changes in shaping travel trends.

Crossing frontiers between tourism and demography. An empirical analysis based on European travellers’ behaviour

This paper aims to establish possible tourism demand scenarios of European travellers to Portugal based on the relationship with changing population structures. A combination of the EUROBAROMETER report 370 (“Attitudes of Europeans towards Tourism in 2013”) and the cohort-component method for population projections will allow the development of different possible tourism demand scenarios. Following the European report, individuals who travelled in 2013 were most likely to live in a household with two or more individuals. Thus, if elderly couples are together till later in their life and in better physiological shape, it is possible that the number of elderly individuals travelling for tourism purposes will increase in the near future. If we can expect tourists from developing countries to be younger due to their demographic dynamics than those from developed countries, where the ageing population is growing fast, we can expect that the percentage of the elderly among tourists will increase. Furthermore, the 2013 European report found that the combination of socio-demographic variables, such as, age, population, gender, household dimension, country of residence and trip purpose explained tourism demand scenarios for Portugal, confirming that seniors and families evidence a paramount sense of importance for the destination. In the literature there is a lack of discussion about the effects of demography in the future and the role of an ageing population in tourism demand choice patterns. We aim to contribute to filling this gap. Consequently, we strongly believe that this paper contributes to the literature by introducing a new field of discussion about the importance of demographic changes in shaping travel trends.

Demographic models for projections of social sector demand

Includes bibliography