Author
Listed:
- Selorm Omega
- Esther E. E. Adebote
- Peter K. Omega
- Selorm Akaba
- Omitoyin A. Siyanola
Abstract
Coronavirus has disrupted aquaculture activities at all levels. The pandemic has had effect on farmer’s input, output, market, revenue, and contact with Extension officers. To reduce the growing effect of the pandemic, the use of Information Communication Technologies has become necessary as farmers can get easy access to extension agents and monitor farm activities while reducing exposure to the virus. Hence, this research was conducted to determine fish farmer’s willingness to pay for improved Information Communication Technologies in bridging the gap caused by the Coronavirus outbreak. The study used cross-sectional survey with data collected from Ibadan, Nigeria. Simple random sampling technique was used to select a sample size of 40 farmers. Primary data was analysed using StataSE13.0 and the results revealed that; 80% of farmers were affected by Coronavirus and acknowledged that Information Communication Technologies play a role in their activities (55%). The probit regression revealed that the scale of operation, age of farmer, household size, status in the household, and usage of Information Communication Technologiess were found to be statistically significant determinants of farmer’s willingness to pay. These points to the fact that improved Information Communication Technologies are relevant to sustain aquaculture output in the face of Coronavirus. The study recommends that the government, the ministry for aquaculture, and stakeholders in aquaculture should support small-scale in the form of training, credit and provision of support systems to help them acquire and use improved ICTs.
Suggested Citation
Selorm Omega & Esther E. E. Adebote & Peter K. Omega & Selorm Akaba & Omitoyin A. Siyanola, 2024.
"Fish Farmers’ Willingness to Pay for Improved Information and Communication Technologies During COVID-19: A Case of Ibadan, Nigeria,"
Journal of Agricultural Science, Canadian Center of Science and Education, vol. 14(2), pages 113-113, April.
Handle:
RePEc:ibn:jasjnl:v:14:y:2024:i:2:p:113
Download full text from publisher
More about this item
JEL classification:
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- Z0 - Other Special Topics - - General
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jasjnl:v:14:y:2024:i:2:p:113. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.