Small-scale fisheries account for 94% of the Greek fishing fleet. The sector consists mainly of family-owned vessels and highly depends on family labor. While the role of women as crew members is of particular interest, there is little evidence of their actual employment status, labor situation, and contribution in the fishing activity. This paper focuses on women in small-scale fisheries in order to investigate their role in the sector and reveal their contribution to fishing enterprises. In addition, it implements a comparative analysis to investigate the differences in various socio-economic indicators in small-scale vessels with and without female crew members. The results indicate that the presence of women has a positive outcome on several social and economic indicators that reflect the wealth of both fishing households and employees. In terms of employment, several differences in the structural characteristics appeared regarding the onshore employment, the share of unpaid labor, and the total hours worked. The majority of female crew members can be characterized as “fisherwomen,” since fishing is their main occupation. Further in-depth research to investigate the family relations among crew members and how they affect the fishing enterprise can supplement the existing research.

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.

Dairy goat farming is an important agricultural activity in the Mediterranean region. In Greece the activity offers occupation and income to thousands of families mainly located in mountainous and semi-mountainous areas of the country where it utilizes low productivity pastures and shrub lands. Furthermore, goats are more resilient to climate changes compared to other species, and are often characterized as ideal for keeping in drought areas. However, there is still limited evidence on total greenhouse gases (GHG) emitted from goat farms and their mitigation potential. In this context, this study aims to estimate GHG emissions of goat farms in Greece and explore their abatement options using an economic optimization model. Three case studies are explored i.e., an extensive, a semi-intensive and an intensive goat farm that correspond to the main goat production systems identified in Greece. The analysis aims to assess total GHGs as well as the impact of abatement on the structures, gross margins and labor inputs of the farms under investigation. The issue of the marginal abatement cost is also addressed. The results indicate that the extensive farm causes higher emissions/kg of milk produced (4.08 kg CO₂-eq) compared to the semi-intensive and intensive farms (2.04 kg and 1.82 kg of CO₂-equivelants, respectively). The results also emphasize the higher marginal abatement cost of the intensive farm. In all farm types, abatement is achieved primarily through the reduction of the livestock capital and secondarily by other appropriate farming practices, like substitution of purchased feed with homegrown feed.

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.

The poor generational renewal has been identified as a key issue for the EU policy that undermines the restructuring of the agricultural sector and the revitalisation of rural areas. The start-up aid for young farmers is one of the main EU-driven policy measures that try to mitigate this trend, by facilitating the initial investment of young newcomers in agriculture. At the same time, innovative crops with appealing characteristics are proposed as promising alternatives with high socioeconomic and low environmental impacts. Recently, a draft new call of the start-up aid for young farmers measure has been set under public consultation in Greece, which significantly alters the requirements and the level of support of the beneficiaries, compared to the previous one. The aim of this study is to explore the consequences of this change to the desirability to invest in the organic aloe vera crop, one of the leading innovating crops in Greece. In this study, taking into consideration the embedded risk and uncertainty, we utilise a stochastic version of the Net Present Value (NPV) analysis, a common discount cash flows method to detect the desirability of an investment. Results indicate that the potential alteration of the start-up aid for young farmers deteriorates the desirability of this investment and thus prevents farmers from its adoption. The analysis provides useful insights by highlighting risk factors and the possible impacts of policy measures on the desirability of innovative crops; thus, it can be useful both for investors and policymakers.

Eco-efficiency is commonly used as an indicator of sustainability since it expresses the efficiency with which natural resources are utilized to meet people’s needs. Agriculture relies heavily on these ecological resources and by-produces significant environmental burdens, shifting the interest of researchers and policymakers toward the promotion of ecological practices. However, limited evidence exists regarding eco-efficiency across various ecological approaches like low input, conservation, and organic farming. This paper contributes to the existing literature and provides insight into the eco-efficiency of Cretan olive farms managed under different ecological approaches. Olive oil production is vital for the socio-economic sustainability of Mediterranean agriculture, a significant element of the region’s culture, and the basis of the well-known “Mediterranean diet”; therefore, it is crucial to investigate eco-efficient management options for olive farmers. Data Envelopment Analysis (DEA) and a second-stage statistical analysis are employed to estimate the eco-efficiency of olive farms and investigate factors affecting it. Composite indicators for biodiversity, soil, and input management are incorporated in the eco-efficiency model. The results indicate that organic farms achieve the highest eco-efficiency scores, followed by other ecological approaches. Additionally, eco-efficiency seems to be explained by farmers’ dependency on subsidies, commitment to farming activity, and environmental awareness.