Corruption in the post-Soviet workplace: the experiences of recent graduates in contemporary Ukraine

While Ukraine was bestowed market economy status by the European Union in 2005 its labour market still endures many structural problems. By exploring the experiences of young graduate employees this article highlights the difficultly in obtaining work within Ukraine's labour market and the problems they face once they have secured employment. Rather than seeing the development of a transparent labour market the collapse of the command economy has seen a relatively closed system develop. The article demonstrates how many jobs are secured through the use of connections or the demanding, and payment, of bribes.The situation does not improve once graduates obtain long-term employment. Interviewees discuss the lack of job security, the informal payment of wages and the lack of legal protection from corrupt employer practices. The article has broader resonance outside of the Ukrainian case study as the discussion of workplace corruption highlights how the issue is concerned with much more than simply cash based transactions and how those that endure it are likely to turn to the informal economy for employment.

Optimal design of the renewable energy map of Greece using weighted goal-programming and data envelopment analysis

Renewable energy forms have been widely used in the past decades highlighting a "green" shift in energy production. An actual reason behind this turn to renewable energy production is EU directives which set the Union's targets for energy production from renewable sources, greenhouse gas emissions and increase in energy efficiency. All member countries are obligated to apply harmonized legislation and practices and restructure their energy production networks in order to meet EU targets. Towards the fulfillment of 20-20-20 EU targets, in Greece a specific strategy which promotes the construction of large scale Renewable Energy Source plants is promoted. In this paper, we present an optimal design of the Greek renewable energy production network applying a 0-1 Weighted Goal Programming model, considering social, environmental and economic criteria. In the absence of a panel of experts Data Envelopment Analysis (DEA) approach is used in order to filter the best out of the possible network structures, seeking for the maximum technical efficiency. Super-Efficiency DEA model is also used in order to reduce the solutions and find the best out of all the possible. The results showed that in order to achieve maximum efficiency, the social and environmental criteria must be weighted more than the economic ones.