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Water pollution by intensive brackish shrimp farming in south-east Vietnam: Causes and options for control

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  • Anh, Pham Thi
  • Kroeze, Carolien
  • Bush, Simon R.
  • Mol, Arthur P.J.

Abstract

This paper focuses on both the environmental impact of intensive shrimp farming in the coastal region of Vietnam and the identification of options for cleaner production. We investigated water pollution, sediment contamination and the spread of diseases related to shrimp farming in the Can Gio district of Ho Chi Minh City (Vietnam), an area representative for the impacts of intensive shrimp production in the country. Data on the production process was compiled from site observations, interviews with local farmers and experts, as well as from secondary sources. The results indicate that, while a large number of individual farms may exceed environmental standards, intensive shrimp farming is not always associated with waste streams exceeding water quality standards. This is interesting because it shows currently available technologies can reduce pollution from intensive shrimp farms. The paper concludes by identifying technologically and economically feasible options for reducing water pollution, problems associated with contaminated sediment, and the spread of diseases.

Suggested Citation

  • Anh, Pham Thi & Kroeze, Carolien & Bush, Simon R. & Mol, Arthur P.J., 2010. "Water pollution by intensive brackish shrimp farming in south-east Vietnam: Causes and options for control," Agricultural Water Management, Elsevier, vol. 97(6), pages 872-882, June.
    • Handle: RePEc:eee:agiwat:v:97:y:2010:i:6:p:872-882
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    References listed on IDEAS

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    Cited by:

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    2. Kim Anh Thi Nguyen & Tram Anh Thi Nguyen & Curtis Jolly & Brice Merlin Nguelifack, 2020. "Economic Efficiency of Extensive and Intensive Shrimp Production under Conditions of Disease and Natural Disaster Risks in Khánh Hòa and Trà Vinh Provinces, Vietnam," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    3. Tram Anh Thi Nguyen & Kim Anh Thi Nguyen & Curtis Jolly, 2019. "Is Super-Intensification the Solution to Shrimp Production and Export Sustainability?," Sustainability, MDPI, vol. 11(19), pages 1-22, September.
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    5. Kiet T. Nguyen, 2020. "Formal versus Informal System to Mitigate Non‐point Source Pollution: An Experimental Investigation," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 838-852, September.
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    7. Do, Huu-Luat & Ho, Thong Quoc, 2022. "Climate change adaptation strategies and shrimp aquaculture: Empirical evidence from the Mekong Delta of Vietnam," Ecological Economics, Elsevier, vol. 196(C).
    8. Arkadeep Bandyopadhyay & Carlo Azzarri & Beliyou Haile & Chungmann Kim & Cristina Alvarez & Ana Moltedo & Abdul Sattar & Winnie Bell & Beatrice L. Rogers, 2022. "Exploring the association between agricultural production systems and household diets in Viet Nam," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1207-1226, October.
    9. Misael B. Clapano & Jenie Mae T. Diuyan & France Guillian B. Rapiz & Edison D. Macusi, 2022. "Typology of Smallholder and Commercial Shrimp ( Penaeus vannamei ) Farms, including Threats and Challenges in Davao Region, Philippines," Sustainability, MDPI, vol. 14(9), pages 1-16, May.
    10. Tran Thi Thu Ha & Simon R Bush, 2010. "Transformations of Vietnamese Shrimp Aquaculture Policy: Empirical Evidence from the Mekong Delta," Environment and Planning C, , vol. 28(6), pages 1101-1119, December.
    11. Bui Bich Xuan & Erlend Dancke Sandorf, 2020. "Potential for Sustainable Aquaculture: Insights from Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(2), pages 401-421, October.
    12. Poulomi Bhattacharya & K. N. Ninan, 2011. "Social cost‐benefit analysis of intensive versus traditional shrimp farming: A case study from India," Natural Resources Forum, Blackwell Publishing, vol. 35(4), pages 321-333, November.

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