Flow experience is a state of mind in which one is totally absorbed in a task. This study explored the daily flow patterns related to working and non-working tasks among healthy and non-healthy (burned-out) individuals using the Experience Sampling Method. The main aim of this study was to explore flow throughout the day using an operationalization that focused on the flow experience itself, as indicated by enjoyment and absorption. Forty healthy participants and 60 burned-out individuals kept an electronic diary on activities (work/nonwork), and levels of flow (enjoyment and absorption) for 14 days. Entries were prompted by a signal on average five times a day, thus rendering 5,455 entries. A curvilinear daily flow pattern was observed, with lower levels of flow during working hours. Differences were found between the components of flow: enjoyment was higher during non-working tasks, whereas absorption was higher when working. There were no differences in flow patterns between the healthy and burned-out group although the actual levels differed with the former experiencing more flow than the latter. The results confirm the validity of this means of measuring flow, using enjoyment and absorption as indicators.[188 words]

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In this paper we study how neighbourhood‐related spillovers affect location choices of manufacturing firms at a local level. A spatial Dirichlet‐multinomial regression model is applied to 90,000 new establishments of the Spanish Mediterranean Axis. Empirical findings show that spatial spillovers play an important role, together with traditional explanatory factors, in driving decisions of companies. Their size and scope depends on two main issues, the specific characteristics of the manufacturing industry the firm belongs to, and the accessibility of the urban environment where the firm is located.

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Área Temática: movilidad, transporte e infraestructuras Resumen: (máximo 300 palabras)This paper argues that the introduction of spatial interactions to model the determinants

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Focusing on the characteristics of destinations, we seek to identify the relevance of spatial spillovers while driving location choices of manufacturing and services fi rms. With this objective, we apply a spatial conditional logit equation to model empirically the behaviour of 1 092 864 fi rms established in 316 municipalities of the Spanish Mediterranean Arc during the period 1998-2008. Our econometric specifi cation allows us to identify both types of external spatial eff ects, direct or locally bounded, and indirect or associated-neighbourhood spatial eff ects. Further, we propose a broad indicator of spatial spillovers generated by a given destination. Empirical fi ndings show that spatial spillovers generated by destinations have greater impacts on the location decisions of manufacturing companies compared with those of services. When we break down the sample by technological intensity of activities, we observe that spatial spillovers are more willing to aff ect decisions of knowledge-intensive companies relative to those of less knowledge-intensive ones, which stay more locally bounded.

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