Rural aquaculture – Now and Then

De, Himansu Kumar; Pandey, D. K.

doi:10.5958/0976-4666.2014.00018.7

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…The strong positive correlation between pond size and stocking density indicates that as the pond size increases, there is a tendency for stocking density to rise. This relationship can be explained by the principle of carrying capacity, where larger ponds can support higher stocking densities due to increased water volume and available habitat space, leading to higher productivity, as reported in Bangladesh (Kunda et al, 2021), India and China (Baruah et al, 2000; De & Pandey, 2014; Deng, 2020; Gopakumar, 2003; Xiong et al, 2023). This finding also implies that other factors such as market demand, water quality requirements, or farmer preferences may play a more significant role in determining the species of fish to be cultured.…”

Section: Discussionmentioning

confidence: 84%

“…Within this framework, there is a relatively low level of fish production for household consumption and income generation, while the overall potential of fish farming remains largely undocumented. De and Pandey (2014), suggest that the development of rural aquaculture can be achieved through two main avenues: expanding the area dedicated to aquaculture and intensifying production in existing aquaculture zones. The connection between the sustainability of business operations and their performance has been extensively discussed in management and organizational research.…”

Section: Introductionmentioning

confidence: 99%

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Aquaculture: A hidden goldmine for the rural poor—A cost–benefit analysis of fish farming for sustainable development and food security in Vihiga County, Kenya

Syanya,

Harikrishnan,

Simiyu

et al. 2024

Bus Strat Dev

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In Kenya, aquaculture plays a significant role in enhancing the livelihoods of rural communities by boosting the local economy and diversifying protein sources. Although Vihiga County in Western Kenya boasts considerable potential for aquaculture, it paradoxically experiences some of the highest levels of poverty and malnutrition in the country. The profitability of fish farming has also been affected by inefficiencies and poor resources, disproportionately affecting the income and nutritional value of rural poor who rely on Aquaculture as a source of cheap protein. The study was conducted in Vihiga County to assess the cost–benefit of aquaculture production, selecting 100 fish farmers through a stratified random sampling technique from five sub‐counties. A descriptive research design was employed, and data analysis was conducted using correlation and regression analysis with SPSS. Budgetary techniques were used for the cost–benefit analysis. Data presentation was by comparing the mean and standard deviation in US dollars of different pond size production. The research findings indicated that the size and type of pond do not have a significant correlation and differences in production (p‐value >.05). There is a strong positive correlation between the size of the pond and the stocking density. The variable cost (VC) has a positive correlation with pond productivity meaning that an increase in VC leads to an increase in production. And is not statistically significant (p‐value = .21827, p‐value >.05). Moreover, the total cost (TC) correlation is statistically significant (p‐value = .0351, p < .05). Larger ponds are more profitable but require higher costs production than smaller ponds. The study concludes that pond size significantly impacts productivity, advocating for smaller ponds to achieve higher net returns with lower production costs. Major challenges include high costs of feeds, inputs, fish diseases, and post‐harvest losses. Key policy variables influencing aquaculture in Vihiga County include infrastructure, fish feed production, capital, and fisheries extension services. Adequate financial support from both National and County governments is crucial for sustainable aquaculture in alignment with Kenya's Vision 2030 and Global Sustainable Development Goals. Policymakers are urged to assist small‐scale farmers with financing, training, and market information to optimize returns on investment.

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Section: Discussionmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Aquaculture: A hidden goldmine for the rural poor—A cost–benefit analysis of fish farming for sustainable development and food security in Vihiga County, Kenya

Syanya,

Harikrishnan,

Simiyu

et al. 2024

Bus Strat Dev

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“…) and Tanzania (Luomba ). De and Pandey () highlight how social and cultural barriers are responsible for preventing girls from reaching higher education and developing the required skills for aquaculture.…”

Section: Dynamics Mediating Productivitymentioning

confidence: 99%

“…Women's low education and literacy have been shown to impede successful practice of aquaculture in India (Gurumayum et al 2004), Bangladesh (Caritas 2007;Danida 2009;Jahan et al 2010;Shirajee et al 2010) and Tanzania (Luomba 2013). De and Pandey (2014) highlight how social and cultural barriers are responsible for preventing girls from reaching higher education and developing the required skills for aquaculture.…”

Section: Dynamics Mediating Productivitymentioning

confidence: 99%

Socio‐cultural dynamics shaping the potential of aquaculture to deliver development outcomes

Morgan

Terry

Rajaratnam

et al. 2016

Reviews in Aquaculture

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There is growing appreciation of the role of aquaculture in diversifying livelihoods of the poor. However, prevailing cultural norms and values, and social relations often influence its development outcomes, which we explore in this study. Socio-cultural dynamics affect the capacity of resource-poor and marginalized groups for the adoption and retention of aquaculture technologies. Gender norms and gender division of labour in a given community not only influence whether men or women participate in aquaculture but also shape their differential access to resources and position in decision-making, with knock-on effect for aquaculture productivity. Ethnic and cultural norms of collectivism, particularly in traditional fishing communities, support aquaculture efforts, but these are often overlooked by many development endeavours. Improved productivity does not necessarily translate into enhanced income, food and nutrition security. In many areas, benefits for women are lower despite their more active participation in aquaculture operations, post-harvest processing and marketing compared to men. Local power relations may limit access to land and water resources as well as inputs and services by the poor, restricting more equitable distribution of income from aquaculture. Nutritional outcome from aquaculture largely depends on preferences and acceptability of fish as a food and local customs regarding its preparation, preservation, cooking and distribution. Aquaculture interventions that take resource base and socio-cultural contexts into account are crucial for realizing increased income, food and nutrition benefits sustainably.

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“…Fish farming is carried out traditionally under extensive system to meet the requirements of small scale farming households and fitting with the available resources. Such type of fish farming is categorised as "rural aquaculture" (Edwards et al, 2002;Little, 2003;De and Saha, 1999;Radheyshyam et al, 2009Radheyshyam et al, , 2013. However, very little is known about the system of farming, management and its implications and these water bodies are under-exploited for scientific fish production due to several constraints (De and Saha, 2006;Radheyshyam et al, 2011aRadheyshyam et al, , 2012a.…”

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confidence: 99%

Impact of aquaculture field school on community fish farming

De¹,

Radheyshyam²,

Saha

et al. 2016

Indian J. Fish.

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Community based aquaculture, a subset of the rural aquaculture, is characterised with low fish production level. Sustainable improvement of productivity levels in such resources has remained a challenge. The study adopted a novel approach of technology transfer through aquaculture field school which involves provision of technical advices and no physical inputs. The article tries to capture its impact on fish production levels and economics of community based aquaculture. The study was conducted during 2009-2012 in Khurda and Puri districts of Odisha by surveying randomly selected farmers of community ponds. Demonstration, need-based skill training, field days, workshops and field visits were organised periodically for fish farmers involved in community based aquaculture management. In order to study the impact of technical inputs, data were collected from 31 randomly selected village community ponds. Farmers provided with technical advices could improve pond management practices significantly (p<0.05). This included eradication of aquatic weeds, removal of weeds and predatory fishes, enhancing pond productivity, stocking fingerlings and/or yearlings, partially feeding fish with locally available feed. This has resulted in better fish production (@ 2192 kg ha -1 yr -1 ) than pre-project period (@1081 kg ha -1 yr -1 ). Motivational drive, need based technical advice and follow up action brought behavioral change in fish farmers for higher investment for intensification of pond management. Average expenditure in community based aquaculture rose significantly (p<0.05) from `40146 ha -1 yr -1 to `87071 ha -1 yr -1 . Average net returns from community ponds at the end of the project period increased to `95068 ha -1 yr -1 against `34057 ha -1 yr -1 .

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Rural aquaculture – Now and Then

Cited by 5 publications

References 2 publications

Aquaculture: A hidden goldmine for the rural poor—A cost–benefit analysis of fish farming for sustainable development and food security in Vihiga County, Kenya

Aquaculture: A hidden goldmine for the rural poor—A cost–benefit analysis of fish farming for sustainable development and food security in Vihiga County, Kenya

Socio‐cultural dynamics shaping the potential of aquaculture to deliver development outcomes

Impact of aquaculture field school on community fish farming

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