Efficiency and productivity change in Ukrainian health care

The study analyses technical efficiency and efficiency change of 193 community hospitals and polyclinics across Ukraine, for the years 1997–2001. These facilities are a subset of the medical institutions in rural Ukraine; they are identical w.r.t. their function in the health system and share the same departmental structure. The data comprise the number of beds in the hospitals, the number of staff employed in the hospitals as well as the polyclinics connected to the hospitals, the number of inpatient and outpatient admissions as well as the number of surgical procedures, lab tests, X-rays performed and the number of deaths and deaths after surgery. Because of the known sensitivity of traditional nonparametric frontier estimators to outlier observations, we employ an order-m estimator, a robust technique, to assess the efficiency of these health care providers as well as changes of their productivity time. The efficiency scores are calculated with an output-oriented model; they are close to unity for hospitals whereas polyclinics seem somewhat less efficient. The Malmquist-indices averaged over all observations are close to unity indicating that productivity does not change over during our observation period. But, depending on the period and the region, substantial deviations from unity can be observed.

Systematic review of sourcing and 3D printing: make-or-buy decisions in industrial buyer–supplier relationships

Management Review Quarterly - Additive manufacturing (AM) is regarded as a technology that has transformative and disruptive potential in nearly all industries. However, AM is not only about new...     

Ex post unbalanced tournaments

Tournaments create strong incentives under the assumption that the competition between the agents is balanced. If, at the outset, one agent is stronger than the other, the tournament is ex ante unbalanced and incentives break down. Handicaps can in this case restore incentives. In practice, competing agents are often overall equally strong but have different sorts of strengths. Then, competition will typically be unbalanced ex post and incentives break down, but handicaps cannot be used. We show how a simple means, introducing the possibility of a tie, can often resolve the problem. We examine under what conditions incentives are maximized by ties.     

Markttransparenz im CO<Subscript>2</Subscript>-Emissionshandel und Risikomanagement von Stromerzeugern

This paper analyses the effects of recent regulatory measures, namely the Regulation on wholesale Energy Market Integrity and Transparency enacted by the European Parliament and the Market Transparency Authority Act, that aim to increase transparency in CO₂ emissions trading on an utility maximizing electricity producer. Taking the particular characteristics of electricity into account, we analyze optimal composition of power generation and optimal risk policy. Our results have implications for the regulation of electricity producers with regard goals concerning environmental policy and supply reliability.     

Die Erwartungen der Wirtschaft für 2016

Last year saw only a moderate economic upturn, which will continue in 2016. Geopolitical risks and the loss of momentum in the emerging economies are obstacles that may hinder a positive trend in exports. However, the falling crude oil price and the low euro currency rate give hope for better prospects. On the domestic front, there is a strong focus on the digitisation of all sectors. Meanwhile, many problems result from the low level of investments and the high energy costs resulting from the energy transition. The insurance industry views the low-yield environment, which greatly intensified last year, as its main challenge in 2016.     

Phase transition in the S&amp;P stock market

We analyze the returns of stocks contained in the Standard & Poor’s 500 index from 1987 until 2011. We use covariance matrices of the firms’ returns determined in a time windows of several years. We find that the eigenvector belonging to the leading eigenvalue (the market) exhibits a phase transition. The market is in an ordered state from 1995 to 2005 and in a disordered state after 2005. We can relate this transition to an order parameter derived from the stocks’ beta and the trading volume. This order parameter can also be interpreted within an agent-based model.