3 resultados para Socio-educational approach

em Repositorio Institucional de la Universidad de Málaga


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Existe un interés creciente en la literatura estratégica y económica por investigar los factores que explican la supervivencia de los emprendimientos. Junto a la proliferación de investigaciones con clara orientación hacia los aspectos externos, en consonancia con la importancia que los emprendedores conceden al mercado, se empieza a reclamar una mayor atención a los aspectos internos. Este trabajo pretende responder a la pregunta: ¿cómo superar las limitaciones internas que obstaculizan la rentabilidad en los primeros años de vida de una empresa?. A partir de una intervención socioeconómica en una empresa consultora de reciente creación, este trabajo muestra cómo el Socio-Economic Approach to Management (SEAM) ayuda a que las nuevas empresas implementen una estrategia interna que estructure la organización y establezca un sistema de dirección de personas que asegure su supervivencia.

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The relationship between the socio-economic status of parents and children is referred by the literature as intergenerational social mobility. The scope of this mobility encompasses different aspects such as educational attainment, income, wealth, prestige and occupational status. In particular, intergenerational occupational mobility is an interesting topic in the economic literature because it is positively associated with the economic achievement and the professional success. Low mobility implies that human capital, skills and talent can be misallocated. As a consequence, the workers’ efforts, their motivation and productivity could be negatively affected, which would have adverse effects on the economy growth and its competitiveness. This paper attempts to carry out the study of the evolution of intergenerational social mobility in Spain during the 21st century. The methodology applied involves to associate the National Classification of Occupations (CNO-94) with the New International Socio-economic Index of Occupational Status (ISEI-08), in order to establish a socio-economic hierarchy. Afterwards, once the occupational ranking is defined, we use statistic and econometric methods to assess the occupational transitions between fathers and children and to analyse the covariates’ effects on these transitions, including as explanatory variable the children’s educational attainment. Data used corresponds to the 2005 and 2011 Living Condition Survey (INE, 2005, 2011). The results of the study are displayed by distinguishing children according to their birth cohort.

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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.