Employment and the Social Economy. EU Funding Opportunities for Developing Human Resources

The paper examines the role of EU cohesion policy in the field of human resources development and improving conditions for employment. The main objective of the analysis is to present a comprehensive picture about funding opportunities in connection with financing the activities of organisations of the social economy. As a background, the study stresses that the success of the European integration process depends to a great extent on the strength of economic and social cohesion between EU member states and regions. In order to create conditions for sustainable and balanced growth with social inclusion, there is a need to enhance the competitiveness of less developed regions combating the difficulties of structural change, and to improve their development prospects. To achieve this aim, one of the most important fields is to improve human resources. The paper points out, that EU cohesion policy has a crucial role in reducing disparities. After a general introduction to the EU level regional policy funding, the study focuses on the activities supported by the European Social Fund (ESF). The next part of the study deals with the possible types of the social economy projects and problems of self-financing. The author emphasises that social innovation emerges where State and markets fail to deliver for society (theory of non-profit/third sector) but not just to fix or replace them. The author concludes that these projects require state subsidies (official grants) at the beginning, but at the same time they can generate income. In this respect they follow same economic goals as other market actors, however, the crucial difference is that their main goal is not to make high profits for the owners. In the last part, as a concrete case study, the paper concentrates on the priorities of the Hungarian development plan in relation to social renewal. The author explains the priorities and fields of interventions of the social renewal programme. Finally, the chapter deals with the recent changes in the Hungarian employment policy and related measures supported by the European Social Fund. The chapter concludes that several employment programmes, projects for the development of social economy and programmes assisting the spreading of voluntariness and the training of volunteers have been launched with the co-financing of ESF.

Determinants of pharmaceutical innovation diffusion: social contagion and prescribing characteristics

This article studies the determinants of pharmaceutical innovation diffusion among specialists. To this end, it investigates the influences of six categories of factors—social embeddedness, socio-demography, scientific orientation, prescribing patterns, practice characteristics, and patient panel composition—on the use of new drugs for the treatment of type 2 diabetes mellitus in Hungary. Here, in line with international trends, 11 brands were introduced between April 2008 and April 2010, outperforming all other therapeutic classes. The Cox proportional hazards model identifies three determinants—social contagion (in the social embeddedness category) and prescribing portfolio and insulin prescribing ratio (in the prescribing pattern category). First, social contagion has a positive effect among geographically close colleagues—the higher the adoption ratio, the higher the likelihood of early adoption—but no influence among former classmates and scientific collaborators. Second, the wider the prescribing portfolio, the earlier the new drug uptake. Third, the lower the insulin prescribing ratio, the earlier the new drug uptake—physicians’ therapeutic convictions and patients’ socioeconomic statuses act as underlying influencers. However, this finding does not extend to opinion-leading physicians such as scientific leaders and hospital department and outpatient center managers. This article concludes by arguing that healthcare policy strategists and pharmaceutical companies may rely exclusively on practice location and prescription data to perfect interventions and optimize budgets.