Access Barriers to Services Markets: Mapping, tracing, understanding and measuring. CEPS Special Report No. 77, June 2013

EU and national policy-makers argue that the single services market is a key to EU growth, but that many barriers to services market access remain. Grasping the scope, nature and economic meaning of these barriers, however, has proven rather difficult. This is exactly what the present CEPS Special Report helps the reader to do. We trace all market access barriers in services, as far as the data allow, and attempt to understand their nature and economic meaning (given that they are usually forms of domestic regulation) and discuss aspects of the measurement of restrictiveness. We make a sharp distinction between market access barriers restrictions in a non-EU WTO/GATS environment and intra-EU ones, and demonstrate the significant difference in ambition between the two. The paper specifies in detail the progress made by the EU's horizontal reform in services markets, documenting the removal of many cross-border obstacles to trade in services and establishment. Finally, following these conceptual and descriptive analyses, a brief assessment of access restrictiveness indices is provided for both the non-EU WTO environment and for intra-EU services access barriers.

Effects of Economic Factors on Adoption of Robotics and Consequences of Automation for Productivity Growth of Dairy Farms. Factor Markets Working Paper No. 32, December 2012

In the long term, productivity and especially productivity growth are necessary conditions for the survival of a farm. This paper focuses on the technology choice of a dairy farm, i.e. the choice between a conventional and an automatic milking system. Its aim is to reveal the extent to which economic rationality explains investing in new technology. The adoption of robotics is further linked to farm productivity to show how capital-intensive technology has affected the overall productivity of milk production. The empirical analysis applies a probit model and an extended Cobb-Douglas-type production function to a Finnish farm-level dataset for the years 2000–10. The results show that very few economic factors on a dairy farm or in its economic environment can be identified to affect the switch to automatic milking. Existing machinery capital and investment allowances are among the significant factors. The results also indicate that the probability of investing in robotics responds elastically to a change in investment aids: an increase of 1% in aid would generate an increase of 2% in the probability of investing. Despite the presence of non-economic incentives, the switch to robotic milking is proven to promote productivity development on dairy farms. No productivity growth is observed on farms that keep conventional milking systems, whereas farms with robotic milking have a growth rate of 8.1% per year. The mean rate for farms that switch to robotic milking is 7.0% per year. The results show great progress in productivity growth, with the average of the sector at around 2% per year during the past two decades. In conclusion, investments in new technology as well as investment aids to boost investments are needed in low-productivity areas where investments in new technology still have great potential to increase productivity, and thus profitability and competitiveness, in the long run.