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The health care industry, in particular the hospital industry, is under an increasing degree of pressure, by an ageing population, advancing expensive medical technology a shrinking labor. The pressure on hospitals is further increased by the planned budget cuts in public spending by many current administrations as a result of the economic and financial crises. However, productivity increases may alleviate these problems. Therefore we study whether productivity in the hospital sector is growing, and whether this productivity growth can be influenced by government policy. Using an econometric time series analysis of the hospital sector in the Netherlands, productivity is estimated for the period 1972-2010. Then, productivity is linked to the different regulation regimes during that period, ranging from output funding in the 1970s to the current liberalized hospital market. The results indicate that the average productivity of the hospital sector in different periods differs and that these differences are related to the structure of regulation in those periods.

This paper investigates the performance of the Dutch general hospital industry by a parametric method. In general, the parametric approaches find more difficulties in distinguishing between technical and allocative efficiencies than DEA. Only recently a class of models is developed based on shadow prices which have possibilities to distinguish between technical and allocative efficiency. However, these models cause some serious computational problems. This paper recommends an approach to overcome these problems by using an iterative two-stage estimation procedure. The estimation is conducted on a panel data set of Dutch general hospitals. Estimation shows that this method is effective. The parameter estimates are plausible, reliable and satisfy all theoretical requirements. In particular we find some reliable estimates for the individual hospitals' shadow prices. According to these shadow prices hospitals should reallocate their resources in favor of material supplies at the cost of other personnel and nursing personnel. The mean technical efficiency is about 86%, whereas the allocative efficiency is about 92%. The outcomes also show that technical progress is very small. Economies of scale are present only for small hospitals.