9 resultados para Probit estimations

em Archive of European Integration


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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.

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This paper presents an empirical methodology for studying the reallocation of agricultural labour across sectors from micro data. Whereas different approaches have been employed in the literature to better understand the mobility of labour, looking at the determinants to exit farm employment and enter off-farm activities, the initial decision of individuals to work in agriculture, as opposed to other sectors, has often been neglected. The proposed methodology controls for the selectivity bias, which may arise in the presence of a non-random sample of the population, in this context those in agricultural employment, which would lead to biased and inconsistent estimates. A 3-step multivariate probit with two selection and one outcome equations constitutes the selected empirical approach to explore the determinants of farm labour to exit agriculture and switch occupational sector. The model can be used to take into account the different market and production structures across European member states on the allocation of agricultural labour and its adjustments.

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The objective of this paper is to explore the determinants to leave agriculture and change occupational sector. We adopt a 3-step multivariate probit where we control for selection bias at two stages in the decisions to work and, at a later stage, exit agriculture. The analysis is based on the European Union Labour Force Survey data expanded with additional regional indicators. The main results suggest that younger individuals are more likely to leave farming activities, although the largest outflows of agricultural labour are mainly associated with the retirement of people. Self-employed and family workers are generally less likely to leave agriculture and those with low levels of educations are found to be significantly constrained in entering the non-farm economy. Moreover, labour market conditions at the regional level do matter for switching occupational sector. Differences in the results among the selected new member states and the EU-15 can be explained by the diverse production structures, suggesting different capacities to release and absorb labour.

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Using data from individual transactions for the period 1994-2010 in the French NUTS2 region Brittany, the authors investigated how environmental regulations and transaction land regulations influence the price of sold plots. Regressions on three sub-samples of buyers were performed in order to assess whether different buyers have different attitudes or plans regarding the farmland purchased: a sub-sample including only farmer-buyers, a sub-sample including non-farmer individual buyers, and a sub-sample including non-farmer non-individual buyers. Estimations were performed ignoring and accounting for spatial interactions (model SARAR). Results indicate that the price of land decreases when buyers are farmers, that the nitrate surplus area zoning increases the price of land, even more so for farmer-buyers. Regarding land transaction regulations, there is a negative effect, on land price, of the purchaser being the current tenant or being the land regulating public body SAFER. Estimating the model on different sub-samples depending on the buyers’ type shed light on the factors that are more important for each buyer.

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This paper investigates the relationship between female labour force participation rates and economic growth in southern Mediterranean countries. A two-step methodology involving econometric estimations and the use of a general equilibrium model was used for this purpose. The econometric estimations suggest that there is a U-shaped relationship between economic growth and female labour force participation rates and they indicate the presence of region-specific barriers impeding women's entry into the labour force in southern Mediterranean countries. The econometric results were fed into a general equilibrium model, the GEM-E3-MEDPRO, which was used to simulate two alternative assumptions on developments in female labour participation rates in the region up to 2030. The first of these simulated changes in female labour force participation rates arising from income level trends projected for the period 2015–2030 in southern Mediterranean countries. The second assumed the lowering of region-specific barriers which deter female labour force participation. The results of these simulations suggest that lower female labour force participation rates may lead to marginally lower economic growth in the region, while the removal of region-specific barriers to female labour force participation may encourage economic growth. This has important policy implications, suggesting that policies intended to remove such barriers could help to promote the growth of the region's economies.

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Introduction. Shale gas is an unconventional form of gas1 because its extraction is more difficult or less economical than that of conventional natural gas. It has become an important item of energy policy during the last years since new processes have allowed its extraction. In the medium term, shale gas should foster a reinforcement of the gas part in the world’s energy mix. In 2011, the IEA released an influential report entitled “Are we entering a golden age of gas?” This report suggests that shale gas could help substantially boost global gas use.2 It also warns at the same time that this success could bring into question the international goal of limiting the long-term increase in the global temperature to 2° C above pre-industrial levels. In the world economy, the impact of shale gas is increasing rapidly (especially in the USA, albeit apparently not as significantly as expected3). In the EU, its perspectives remain uncertain, for many reasons. Estimates are not reliable. Shale gas exploitation remains a controversial issue due to geology, lack of infrastructure and also fears for the environment and public health. The EU institutions seem to have a favorable attitude towards shale gas development while the Member States’ attitude seems to vary from enthusiasm to hesitation or opposition. Public opinion on the issue appears quite divided everywhere. This brief paper will examine various estimations of potential resources in the EU (§ 1), the potential costs and benefits (§ 2), the initiatives taken by the EU institutions (§ 3) and the national authorities (§ 4), and finally the emerging EU framework (§ 5). The conclusion is, rather surprisingly, that whatever happens on this front, this will not modify the present structural challenges of the EU in the domains of climate and energy.4