The transformation of agriculture in Ukraine: From collective farms to agroholdings. OSW Commentary No. 127, 06.02.2014

In recent years, Ukraine’s agriculture has been consistently improving and has been the only part of the country’s economy to buck the recession. According to preliminary estimates, in 2013 agricultural production increased by 13.7% - in contrast to a 4.7% decline in the industrial sector. According to official statistics, Ukraine’s industrial production was up 40% in the final months of 2013 when compared to the same period of 2012. This translated into an unexpected gain in fourth-quarter GDP growth (+3.7%) and prevented an annual drop in GDP. Crop production, and particularly the production of grain, hit a record high: in 2013, Ukraine produced 63 million tonnes of grain, outperforming its best ever harvest of 2011 (56.7 million tonnes). The value of Ukraine’s agricultural and food exports increased from US$4.3 billion in 2005 to US$17.9 billion in 2012, and currently accounts for a quarter of Ukraine’s total exports. Economic forecasts suggest that in the current marketing year (July 2013 - June 2014) Ukraine will sell more than 30 million tonnes of grain to foreign markets, making it the world’s second biggest grain exporter, after the United States.

Ownership and Investment Behaviour in Transition Countries: A Case Study of Collective and Corporate Farms in the Czech Republic. Factor Markets Working Paper No. 17, February 2012

Cooperative and corporate farms have retained an important role for agricultural production in many transition countries of Central and Eastern Europe. Despite this importance, these farms' ownership structure, and particularly the ownership's effect on their investment activity, which is vital for efficient restructuring and the sector's future development, are still not well understood. This paper explores the ownership-investment relationship using data on Czech farms from 1997 to 2008. We allow for ownership-specific variability in farm investment behaviour analyzed by utilizing an error-correction accelerator model. Empirical results suggest significant differences in the level of investment activity, responsiveness to market signals, investment lumpiness, as well as investment sensitivity to financial variables among farms with different ownership characteristics. These differences imply that the internal structure of the Czech cooperative and corporate farms will be developing in the direction of a decreasing number of owners and an increasing ownership concentration.

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.