Towards a New Industrial Policy for Europe. EPC Issue Paper No. 78, November 2014

An ambitious rhetoric has been adopted both at the European and national level towards industrial policy. Along with rhetoric, sweeping action plans to revive our industrial base and reverse off-shoring trends have been attempted. However, concrete measures undertaken have been inconsistent and weak compared to the magnitude of the challenges faced by European manufacturing as well as the policies implemented by our competitors. At the same time the economic and financial crisis has shed light on the risks of an excessive reliance on the service and financial sector and the necessity to look for new sources of growth. As a response, this Issue Paper, by Claire Dhéret, Senior Policy Analyst and Martina Morosi, Programme Assistant, argues that fostering a more innovative, knowledge-intensive, new technology-oriented and resource-efficient manufacturing industry in Europe is the right way to go. To this end, a new EU strategic vision on industrial policy, based on the operationalisation of European cooperation, is urgently required. The paper presents a toolkit for implementing the vision and a series of policy recommendations.

The Opportunity Costs of STEM Degrees and the Unmet Needs of the Low-Skilled: Two labour market problems explained. CEPS Policy Brief No. 295, 26 June 2013

There is general consensus that to achieve employment growth, especially for vulnerable groups, it is not sufficient to simply kick-start economic growth: skills among both the high- and low-skilled population need to be improved. In particular, we argue that if the lack of graduates in science, technology, engineering and mathematics (STEM) is a true problem, it needs to be tackled via incentives and not simply via public campaigns: students are not enrolling in ‘hard-science’ subjects because the opportunity cost is very high. As far as the low-skilled population is concerned, we encourage EU and national policy-makers to invest in a more comprehensive view of this phenomenon. The ‘low-skilled’ label can hide a number of different scenarios: labour market detachment, migration, and obsolete skills that are the result of macroeconomic structural changes. For this reason lifelong learning is necessary to keep up with new technology and to shield workers from the risk of skills obsolescence and detachment from the labour market.

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.