95 resultados para [JEL:P20] Economic Systems - Socialist Systems and Transitional Economies - General


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This document provides statistical appendices underpinning the research presented in ENEPRI Research Report No. 117, “Performance of Long-Term Care Systems in Europe”, December 2012. Esther Mot is Senior Researcher in the Netherlands Bureau for Economic Policy Analysis (CPB) and Riemer Faber is researcher at CPB. Joanna Geerts is researcher and Peter Willemé is health economist in the Social Security Research Group at the Federal Planning Bureau (FPB).

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The European Union faces major social problems. More than six million jobs were lost from 2008-13 and poverty has increased. Fiscal consolidation has generally attempted to spare social protection from spending cuts, but the distribution of adjustment costs between the young and old has been uneven; a growing generational divide is evident, disadvantaging the young. The efficiency of the social security systems of EU countries varies widely. Countries with greater inequality tended to have higher household borrowing prior to the crisis resulting in more subdued consumption growth during the crisis. The resulting high private debt, high unemployment, poverty and more limited access to education undermine long-term growth and social and political stability. Policymakers face three main challenges. First, addressing unemployment and poverty should remain a high priority not only for its own sake, but because these problems undermine public debt sustainability and growth. Second, bold policies in various areas are required. Most labour, social and fiscal policies are the responsibility of member states, requiring national reforms. But better coordination of demand management at European level is also necessary in order to create jobs. Third, tax/benefit systems should be reviewed for improved efficiency, inter- generational equity and fair burden sharing between the wealthy and poor.

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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.