2 resultados para sectoral analysis

em Portal de Revistas Científicas Complutenses - Espanha


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Organizations of the Social Economy in Spain accounted for 13% of employment and 12% of GDP in 2013, according to the Spanish Confederation fo Social Economy. Also, according to various institutions and studies, the role of Social Economy has become relevant due to they represent a model promoting the creation of collective business projects with greater sustainability and potential than models of individual self-employment. However, despite all this, there are few academic studies or sectoral reports analyzing employment in this sector, especially in the case of youth employment. This study aims to fill this gap in the literature analyzing the scared available data in order to show the numbers and characteristics of youth employment in this sector. Results show the weight of youth employment in the Social Economy is higher than the economy overall.

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Cooperatives have a long historical experience in the Spanish economy and have demonstrated their ability to compete against traditional firms in the market. To maintain this capability, while taking advantage of the competitive advantages associated with their idiosyncrasies as social economy enterprises, they should take into consideration that the economy is increasingly globalized and increasingly knowledge-based, especially with regards to technological content. As a consequence, the innovative capacity appears to be a key aspect in order to be able to challenge competitors. This article characterizes the innovative behavior of cooperatives in the region of Castile and Leon and analyses the internal and external factors affecting their innovative performance, based on data from a survey of 581 cooperatives. The results of the empirical analysis, which is performed by multivariate binary logistic regression on various types of innovation, lead us to identify the size of the organizations, the existence of planning, the R & D activities and the human capital as the main determining factors.