2 resultados para hierarchical (multilevel) analysis

em Repositorio Institucional de la Universidad de Málaga


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Any movement towards sustainable tourism is dependent not only upon the industry and other key stakeholders but also the demand side, namely the tourists. Yet, there is a limited literature from the demand point of view. In this area, contributions to an understanding of tourists’ support to sustainable development are necessary. This paper analyzes the main determinants in tourist behavior regarding the environmental considerations when they are making decisions about their holiday plans. General literature on this issue highlights the need to consider socio-economic variables of the individual as well as the attributes related of their style of living. If the econometric model takes into account all these variables simultaneously, then the linkage between contextual changes and tourists´ behaviour is enriched and it may be estimated more accurately. In this sense, a multilevel approach using a random-intercept logistic models is proposed, since tourists belong to a country are affected by the same contextual variables. The analysis comprises a joint dataset composed by microdata belong to the survey Attitudes of Europeans Towards Tourism, which corresponds to Flash Eurobarometer 281, macrodata from Eurostat (GDP in pps and GDP growth) and additional variables profiles from the 2005 Environmental Sustainability Index. Country-specific effects are calculated across the EU-27 countries, which corroborated that attitudes to the sustainable tourism are heterogeneous geo-graphically. The higher the level of GDP, the lower the level of tourists´ support. These results could be explained because tourists of richer countries already have to pay more tax for envi-ronmental protection. Age, gender and educational attainment are relevant. Motivations for travelling, size of the community, type of the destination, and environmental sustainability indi-cators of the place of residence are also important factors.

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In this paper we analyze the effect of welfare policies oriented toward the elderly on solidarity toward the elderly in a sample of European countries. The research question is whether more generous welfare policies crowd out solidarity. For this purpose, we analyze four waves of the SHARE database. We use multilevel analysis to estimate the effect of national variables on transfers toward the elderly, controlling for individual level variables. At the national level we focus on the effect of public spending on policies oriented toward the elderly after controlling for some other relevant variables, such as the proportion of elderly people, female labor force participation and unemployment. Our results indicate that expenditure in social protection toward the elderly has a positive and significant (albeit moderate) effect on the economic support received by the elderly (which is in line with the Crowding-in hypothesis). However, in the case of time transfers, we find that expenditure in social protection toward the elderly has a negative and significant impact on the time transfers received by the elderly (which is consistent with the Crowding-out hypothesis).