No abstract

This study explores the technical and scale efficiency of two types of Greek fishing vessels, small-scale vessels and bottom trawlers, using a bias-corrected input-oriented Data Envelopment Analysis model. Moreover, the associations between efficiency scores and vessel's and skipper's characteristics are also explored. The results indicate that small-scale vessels achieve a very low average technical efficiency score (0.42) but a much higher scale efficiency score (0.81). Conversely, bottom trawlers achieve lower scale but higher technical efficiency scores (0.68 and 0.73, respectively). One important finding of this study is that the technical efficiency of small-scale vessels, in contrast to trawlers, is positively associated with the experience of the skipper. In a looser context, it can be said that small-scale fisheries mainly rely on skill, whereas bottom trawlers rely more on technology. This study concludes that there is space for improvement in efficiency, mainly for small-scale vessels, which could allow the achievement of the same level of output by using reduced inputs.

During the last decade, an encouraging environment for the restructuring and modernization of the agricultural sector has formed in Greece. The diversification into higher-value crops can be a promising option for small and average-sized farms, particularly during the current economic crisis. One of the most promising alternative crops that have been recently established in Greece is the organic Aloe vera crop. The main advantage of this crop is that it can utilize poor farmlands and, therefore, can facilitate rural development in marginal areas. This study explores the economic sustainability of the Aloe vera crop, considering the embedded risk and uncertainty. The results indicate that organic aloe farming is a promising alternative to "traditional" crops in Greece, particularly for family farms in rural areas. In contrast, this activity is not advisable to the most entrepreneurial type of farmers, unless their crop size allows economies of scales. Finally, the Stochastic Efficiency with Respect to a Function (SERF) analysis associates farmers' risk attitude with their willingness to be involved in organic Aloe vera farming. SERF analysis highlights the crucial role of farmers' risk aversion and concludes that, above a certain level of risk aversion, farmers have no incentive to adopt this economic activity.

Organic farming has experienced a vast increase within the EU. Especially in Greece, the rapid growth of the organic sector, since the early '90s, was accompanied by the introduction of various organic crops. Among them, organic fruit crops have been gradually introduced, as farmers have realised the promising growth of the demand for organic fruits. However, organic farmers face significant yield and price risks, which combined with the high initial establishment costs, provoke difficult investment decisions. Rational farmers are willing to adopt organic farming only if the economic outcomes outweigh the associated increased risk and uncertainty. This study employs stochastic efficiency analysis to compare the economic outcomes of organic and conventional cherry production in Northern Greece. It, thus, explores whether the expansion of organic cherry production generates satisfactory economic results for farmers and whether it can be regarded as a promising alternative to conventional production activity. Results reveal that the current Greek policy scheme may endanger investments in organic cherry farming. Further assessment of the impact of varying organic subsidy and discount rate levels on the net present value underlines the detrimental effects of the financial crisis. An enhanced policy framework is required to enable and support climate-smart agriculture.

One of the main ecological challenges that agricultural and especially livestock production systems face is the adoption of management practices that encourage the mitigation of greenhouse gas (GHG) emissions, while maintaining their production level. According to the relevant literature, the potential for GHG reduction lies mainly in greater efficiency in meat and dairy production, which suggests that the ecological modernization of livestock farms follows the efficiency/substitution pathway. This study aims to investigate the above assumption and explore the link between the technical efficiency (TE) and environmental efficiency (EE) of livestock farms using data envelopment analysis (DEA). The analysis focuses on dairy sheep farming, since the activity is important for the Greek rural economy while at the same time responsible for half of the country’s agricultural methane emissions. Results indicate that the correlation between technical and environmental efficiency of sheep farms is significant. Environmental efficiency is affected by farm size, specialization and production orientation. Feeding practices, like the ratio of concentrates to forage, also appear to have a positive effect on environmental efficiency. On the other hand, experienced farmers tend to have lower environmental efficiency, which may indicate their reluctance to adopt modern farming practices.