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Socio-economic indicators relating to the agricultural sector and rural development












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    Book (series)
    Manual of fisheries sampling surveys: methodologies for estimations of socio-economic indicators in the Mediterranean Sea. 2004
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    This manual on the sampling methodology for use in the construction of socio-economic indicators was initiated by the Sub-Committee on Economic and Social Sciences (SCESS) of the General Fisheries Commission for the Mediterranean (GFCM) Scientific Advisory Committee (SAC). It was carried out jointly by Istituto Ricerche Economiche per la Pesca e l’Acquacoltura (IREPA), Salerno, Italy, and Gabinete de Economía del Mar (GEM), Universidad de Barcelona, Spain, within the framework of the ad hoc Work ing Group on Socio-Economic Indicators of SCESS. This manual is aimed at all decision-makers who may need correct data to build socio-economic indicators. At an international level, the manual can be used to facilitate and simplify reporting under international conventions and agreements on matters relating to the sustainable development of the world’s fisheries. Regional fisheries bodies and stakeholders involved in fisheries decision-making, such as the fishing industry, other user groups, c ertification bodies, local communities and non-governmental organizations (NGOs) may also draw upon this manual to assist in meeting societal goals for fisheries. This manual can be applied to fisheries at many different levels, from individual fisheries and coastal management units to a global level. It aims to encourage consistent usage of statistical methods in data collection. Governments may also wish to adapt the manual to the specific requirements of their national fisheries.
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    Book (series)
    Guidelines on the collection of demographic and socio-economic information on fishing communities for use in coastal and aquatic resources management 2004
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    Article 10 of the Code of Conduct for Responsible Fisheries (CCRF) sets out principles and standards for the integration of fisheries in coastal management. Article 10.2.4 of the CCRF states: “States, in accordance with their capacities, should establish or promote the establishment of systems to monitor the coastal environment as part of the coastal management process using physical, chemical, biological, economic and social parameters. “The guidelines presented in Part 1 of this Fisheries Technical Paper attempt to identify empirically verifiable key indicators for the identification of socio-economic and demographic issues, problems and opportunities in coastal and aquatic resources management and for monitoring the impact of management measures on the socio-economic well-being of coastal and fishing communities. The guidelines also identify data sources and methods for the collection of data. Part 2 contains a summary of the proceedings and recommendations of the Regional Workshop on the Use of Demographic Data in Fisheries and Coastal Development and Management in the Philippines and other Southeast and South Asian Countries held at the University of the Philippines in the Visayas, Miag-ao, Iloilo, Philippines from 18 to 21 March 2002, as well as selected papers from the workshop. In Part 3, two case studies, one from the United States of America and the other from Italy, describe how socio-economic and demographic indicators are actually used in coastal and aquatic resources management.
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    Book (stand-alone)
    A Sub-regional Analysis of the Socio-Economic situation of the Eastern Mediterranean Fisheries 2016
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    Within the framework of the FAO EastMed project, a Working Group on the socio-economic analysis of the fisheries sector in the Eastern Mediterranean was conducted in Athens, Greece from the 2-6 of November 2015. The goal of the working group was to contribute to the understanding of the socio-economic situation of fishing fleets in the Eastern Mediterranean countries, with a view to support economic advice in fisheries management. This report is the result of the working group and compares selec ted fisheries socio-economic indicators, including harvesting cost structure and profitability of main fleet segments. During the working group data was compiled from the Eastern Mediterranean, including Cyprus, Egypt, Palestine (Gaza Strip), Greece, Italy (Ionian Sea), Lebanon and Turkey. For the EU countries the data derived from the EU Data Collection Framework (2010/93/EU) was used, while for the non-EU areas the data was derived from the socio-economic surveys which are currently being co nducted within the framework of the FAO EastMed project. Data from Turkey was derived from the Turkish Statistical Institute. The data collected by both the EU and non-EU areas follow a comparable standard methodology, and using these data sets, socio-economic indicators were estimated and compared among countries and fleet segments in the region. The economic performance of 25 fleet segments from the seven areas mentioned above were analyzed and compared for the year 2012. The fisheries secto r in the region including the Black Sea Turkish production, produced a total of 581 thousand tons of seafood with an estimated value of $1.6 billion. The fishing fleet directly employed 80,017 people on a full-time basis working onboard 40,436 vessels. According to the data presented in this report, the value added generated by fisheries made up 0.05% of the total GDP generated in the region, employing less than 1% of the labour force. However, in the coastal communities of the region it repre sented an important source of employment, income and a highly valuable source of animal protein. In terms of profitability, the best performances were showed in Egypt, Lebanon and Italy, while the worst performance was found in Gaza Strip, where the activity was not profitable. In the vast majority of the fleet segments analysed, crew members are paid with a share system where the running costs are subtracted from the revenues before allocating the shares to the crew members and to the owner. Th e salary per fisher compared to the minimum wage of the manufacturing sector, was lower in Gaza and Lebanon, and higher in Egypt. The ratio of energy costs to operating costs showed the highest value in the fleets operating in Gaza, where energy costs are at an unsustainable level, which is detrimental with respect to the salaries of the workers and the remuneration of the investments. The fuel efficiency showed the highest values in Turkey, and the lowest in Italy where all the fleet segments s cored an extremely low value. The comparison of the breakdown of the cost factors showed that labour and energy were in general the primary costs associated with fishing, although their proportion varies among countries, depending on many factors, such as the fleet structure, the harvesting methods and the fuel subsidies/taxes. In general, vessels using active fishing gears (i.e. trawlers) are more dependent on fuel and have the energy costs accounting for a larger proportion of the operational costs while, for the artisanal vessels using passive gears, labour represents the larger proportion of the operational costs. Salaries can absorb as much as half of the total operating costs in small-scale fisheries, with the exceptions of Gaza and Turkey where the labour costs were below 20%.

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