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Effect of network-based targeting on the diffusion of good aquaculture practices among shrimp producers in Vietnam

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  • Lee, Guenwoo
  • Suzuki, Aya
  • Nam, Vu Hoang

Abstract

In developing countries, social networks play a critical role in the transmission of information about new technologies and influence an individual’s decision to adopt the technology. Thus, this study considered a case of shrimp farmers in Vietnam to identify whether the farmers’ networks have positive effects on diffusing accurate agricultural information to the treated farmers and their neighbors. To explore the effects, we invited farmers selected using network-based targeting to a workshop held in December 2017 and estimated it using data obtained before and after the treatment. We found that: 1) the targeting has a positive effect on the treated farmers’ knowledge level about a good aquaculture practice; 2) The treated farmers selected using the network-based targeting share information with more neighbors when they get new information; and 3) The targeting has a positive spillover effect on untreated farmers' knowledge level, but its effect is lower than other randomly selected. These findings can conclude that network-based targeting appears to be a method to disseminate information to many people. Nevertheless, the methods are less likely to deliver accurate information to a wider group of farmers than random sampling.

Suggested Citation

  • Lee, Guenwoo & Suzuki, Aya & Nam, Vu Hoang, 2019. "Effect of network-based targeting on the diffusion of good aquaculture practices among shrimp producers in Vietnam," World Development, Elsevier, vol. 124(C), pages 1-1.
  • Handle: RePEc:eee:wdevel:v:124:y:2019:i:c:12
    DOI: 10.1016/j.worlddev.2019.104641
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    Cited by:

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    3. Suzuki, Aya & Nam, Vu Hoang & Lee, Guenwoo, 2021. "Inducing Smallholders’ Compliance with International Standards: Evidence from the Shrimp Aquaculture Sector in Vietnam," 2021 Conference, August 17-31, 2021, Virtual 315025, International Association of Agricultural Economists.
    4. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    5. Fanlue Li & Ke He & Run Zhu & Junbiao Zhang & Ming Gao, 2023. "Rural low‐carbon energy development in the information age: Can internet access drive the farmer to participate in personal carbon trading schemes related to bioenergy?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1417-1432, June.
    6. Bertelli, Olivia & Fall, Fatou, 2022. "Motivating Farmer Trainers. Experimental evidence from rural Uganda," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321175, Agricultural Economics Society - AES.
    7. Panfeng Chai & Qiuguang Hu, 2021. "Influence of Fishery Cooperative Support on Safety Factor Input Behavior of Aquaculturists: The Intermediary Role of Order Fishery and Product Certification," Sustainability, MDPI, vol. 13(19), pages 1-15, September.

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    More about this item

    Keywords

    Better management practices; Betweenness centrality; Network-based targeting; Shrimp farming; Simple random sampling; Systematic unaligned random Sampling;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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