Year 1 operational report: Improving employment and income through development of Egypt’s aquaculture sector(IEIDEAS) project

Implementation of the SDC funded project ‘Improving Employment and Income through Development of Egypt’s Aquaculture Sector’ commenced on 1st December 2011 and will continue until late 2014. This report summarizes the results of the first 10 months until 30th September 2012. The project was based on a value chain analysis carried out by WorldFish in September 2011. The information in the VCA acts as the baseline for the main project parameters. It established that the aquaculture value chain is a significant employer (14 FTE per 100 tonnes of annual production), particularly in rural areas and there was scope to increase employment of youth and women.

Determinants of small-scale fishermen's income on Oman's Batinah Coast

The small-scale fishing industry of Oman is responsible for almost 90 percent of the total marine fishery production. It is also the main supplier of fish for Omani households. This study analyzes the factors that determine small-scale fishermen’s income on Oman’s Batinah Coast, which has almost 30 percent of Oman’s population and more than one-third of the small-scale fishermen. We find that fishermen’s income here can be explained broadly under four major blocks of variables: geographical region, fishing inputs and catch, socioeconomic and demographic characteristics, and the nature of the relationship with fisheries extension services. In general, the Wilayat (local administrative units) failed to make any significant impact on fishermen’s income. The variable “Fishing inputs and catch,” such as increases in engine power, boat length, weekly catch, and number of weekly trips, positively impacted fishermen’s income while increases in weekly fishing costs, number of crew members, and difficulty in getting ice had a significantly negative effect on the income. Furthermore, socioeconomic and demographic characteristics also contributed significantly in determining the fishermen’s income level. The other important findings were related to extension services. The variables “Fishermen’s exchange of information and cooperation with the ministry” and “Fishermen’s involvement in the extension activities” were found to have positive effects on fishermen’s income levels. Capitalizing on these findings could improve fishermen’s incomes and their lives across the region, as well as nationally.

Report of the special session of "Chesapeake Bay Ecological Forecasting: Moving Ecosystem Modeling from Research to Operation" of the 2010 Chesapeake Modeling Symposium

Moving ecosystem modeling from research to applications and operations has direct management relevance and will be integral to achieving the water quality and living resource goals of the 2010 Chesapeake Bay Executive Order. Yet despite decades of ecosystem modeling efforts of linking climate to water quality, plankton and fish, ecological models are rarely taken to the operational phase. In an effort to promote operational ecosystem modeling and ecological forecasting in Chesapeake Bay, a meeting was convened on this topic at the 2010 Chesapeake Modeling Symposium (May, 10-11). These presentations show that tremendous progress has been made over the last five years toward the development of operational ecological forecasting models, and that efforts in Chesapeake Bay are leading the way nationally. Ecological forecasts predict the impacts of chemical, biological, and physical changes on ecosystems, ecosystem components, and people. They have great potential to educate and inform not only ecosystem management, but also the outlook and opinion of the general public, for whom we manage coastal ecosystems. In the context of the Chesapeake Bay Executive Order, ecological forecasting can be used to identify favorable restoration sites, predict which sites and species will be viable under various climate scenarios, and predict the impact of a restoration project on water quality.

Informal fish retailing in rural Egypt: Opportunities to enhance income and work conditions for women and men

Poor rural consumers benefit from Egypt’s aquaculture sector through access to small and medium-sized farmed tilapia sold by informal fish retailers, many of whom are women. In fact, informal fish retail is the main, if not only, segment of the farmed fish value chain where women are found. This report aims to inform current and future strategies to improve conditions in informal fish retail by understanding in more depth the similarities and differences in employment quality and outcomes across different fish retailers. It is particularly focused on identifying whether and how gender inequality influences different dimensions of the work, and whether women and men have similar outcomes and employment conditions. This knowledge will help to design interventions to overcome gender-based constraints, as well as approaches that address shared obstacles and include both women and men in gender-responsive ways to ensure that all of those involved in the sector benefit.

Increasing farm income by introducing fish culture in deepwater rice environment

Fish culture in deep-water-rice (DWR) environment using net pen and polder systems was evaluated. In net pen rohu and Thai silver barb were cultured, whereas a 5-species combination (rohu, mrigal, common carp, grass carp and Thai silver barb) were cultured with BR3 rice variety and DWR. Boro-fish production system produced 2.8 t/ha of fish and 7.33 t/ha of rice in polder system with 5-species combinations.

Diversity of wetland fish and its impact on the income of fishermen community of Assam.

A survey was conducted in 3000 fishermen households surrounding 54 wetlands (Beels) of Assam. The fish diversity of the wetlands has been decreasing during the last few years due to some extrinsic and intrinsic factors. The total number of fish species recorded so far during the present study is 67 belonging to 21 families. Cyprinidae is the most dominant family represented by major group species (8), intermediate group species (3) and minor group species (12) of high commercial value. Among these three groups, the diversity of fish species is higher in the minor group fish. The present paper deals with the economic condition of the fishermen who mainly fish in the wetlands. The economic condition of the fishermen community is found very poor. The income of fishermen varies from Rs. 4.478 to Rs.7,484 per annum. A regression analysis shows that the income of fishermen is not dependent alone on the fish production but it is exclusively dependent on the value of the fish catch. All the three groups (in terms of value) have significant influence at 10.00% confidence level. But analysis of β shows that the intermediate fish group exhibits the highest influence on the variation of the fishermen income followed by minor and major group respectively.

An empirical study on income and efficiency of pond fish and nursery fish production in some selected areas of Pabna, Bangladesh

The study was designed to determine the costs, returns and relative profitability of pond fish and nursery fish production. In order to attain this objective, a total of 70 producers: 35 producing pond fish and 35 producing nursery fish were selected on the basis of purposive random sampling technique from 6 villages under two Upazilas (Sujanagar and Santhia) of Pabna district. It was estimated that per hectare per year gross cost of pond fish production was Tk 65,918 while gross return and net return were Tk 91,707 and Tk 25,789 respectively. Per hectare per year gross cost of nursery fish production was Tk 87,489 while gross return and net return were Tk 1,39,272 and Tk 51,783 respectively. The findings revealed that nursery fish production was more profitable than pond fish production. Cobb-Douglas production function was applied to realize the specific effect of the factors on pond fish and nursery fish production. It was observed that most of the included variables had significant impact on pond fish and nursery fish production. Out of five variables included in the function, all the variables had positive impact on return from pond fish production but stock value of pond, material cost and pond area had positive impact on return from nursery fish production.

Production of freshwater giant prawn using over-wintered juveniles for enhancement of farm income and reduction of rural poverty in Bangladesh

Freshwater giant prawn, Macrobrachium rosenbergii fry produced during late season can not withstand low temperature thus the prawn culture programme during winter is hampered. To overcome this problem, late season (August-September) prawn juveniles (0.9-6.8 g) were stocked at a density of 1.43 to 3.57/square meter in 350-476 square-meter ponds in Pabna and Mymensingh districts during October 2000 and cultured till May 2001. Monthly average water temperature during the winter months (December-February) varied from 16 to 22 °C and gradually increased to 32 °C in May. The prawn fry showed fast growth rate and attained an average weight of 60-70 g within eight months including three winter months. Growth compensation was observed during summer months. Survival rate was 60-79%. After extrapolation of the present growth rate more than 1,600 kg/ha production can be achieved in better-managed ponds. Extrapolated cost of production was Tk. 268,000 and 200,000 Tk./ha in two best ponds, sale value was Tk. 644,9146 [sic] and 528,466 and gross profit was Tk. 376,000-410,000, suggesting a higher economic feasibility of farming freshwater prawn with over-wintered juveniles.

Forecasting high-frequency futures returns using online langevin dynamics

Forecasting the returns of assets at high frequency is the key challenge for high-frequency algorithmic trading strategies. In this paper, we propose a jump-diffusion model for asset price movements that models price and its trend and allows a momentum strategy to be developed. Conditional on jump times, we derive closed-form transition densities for this model. We show how this allows us to extract a trend from high-frequency finance data by using a Rao-Blackwellized variable rate particle filter to filter incoming price data. Our results show that even in the presence of transaction costs our algorithm can achieve a Sharpe ratio above 1 when applied across a portfolio of 75 futures contracts at high frequency. © 2011 IEEE.