Research Article
BibTex RIS Cite

Factors affecting usage of digital advisory tools and services by vegetable farmers in Nepal

Year 2024, Volume: 6 Issue: 2, 185 - 195
https://doi.org/10.53663/turjfas.1562639

Abstract

It is evident that several factors condition the usage of Digital advisory tools and services (DATS) namely the internet, mobile phone, TV, radio, social media in the agricultural sector. The core, socio-economic factors and regional differences in technology adoption are being addressed. With the use of a multistage purposive sampling technique the study was steered to assess factors affecting the DATS use in Lumbini province. Using survey research design and administering pre-tested semi-structured interview schedule; 135 samples were randomly selected from Rupandehi (Terai), Palpa (Midhill) and Rukum East (Mountain) districts. The data were analyzed using multivariate probit regression model along with apt scaling and indexing techniques. The findings reveal that the tool’s performance expectancy, the ease of use and relevance to user needs were the core factors while age, education level, experience, group membership and geographical variation were influencing factors shaping farmers’ behavior for choosing different information sources. The results indicate that vegetable farmers rely on a variety of information resources which can be grouped under locality, cosmopolite, traditional and modern DATS. These sources either complement or substitute one another. This implies that no single source fully satisfies all of a farmer's information needs. If information providers get abreast of how likely it is that farmers will choose any particular source of information, they can guide efforts and shape policies to communicate via those channels in specific areas, generating higher impact. In light of the findings, the study accentuates the need for policy reforms to boost information sources that are tailored to specific regional and socio-economic profile of farmers.

Ethical Statement

The participants in the sensory evaluation voluntarily took part and scored the samples with full satisfaction

Supporting Institution

No funding is received from any donors for this research

Thanks

We thank the managing editor, the entire team at the journal, and the anonymous reviewers, for their kind feedback. The usual disclaimers apply

References

  • Armstrong, L. J., Gandhi, N., & Lanjekar, K. (2012). Use of Information and Communication Technology (ICT) tools by rural farmers in Ratnagiri District of Maharastra, India. Proceedings - International Conference on Communication Systems and Network Technologies, CSNT 2012, 950–955. https://doi.org/10.1109/ CSNT.2012.202
  • Bakari, D., Gisilanbe, S.A., & Samuel, P. (2018). Assessment of Accessibility of Information and Communication Technology by Gender among Famers in Taraba State, Nigeria. Archives of Current Research International, 13(1), 1-6. https://doi.org/ 10.9734/ACRI/2018/39973
  • Belsley, D. A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics: Identifying influential data and sources of collinearity. John Wiley & Sons.
  • Bhusal, A. (2020). Agriculture and COVID-19: problems and opportunities. https://ypard.net/resources/blog/agriculture-and-covid-19-problems-and-opportunities
  • Bhusal, A., G. C., S., & Khatri, L. (2021). A review article on role of information and communication technology in agriculture and factors affecting its dissemination in Nepal. Journal of Applied Biotechnology and Bioengineering, 8(3), 81-85. https://doi. org/10.15406/jabb.2021.08.00257
  • Birkhaeuser, D., Evenson, R. E., & Feder, G. (1991). The economic impact of agricultural extension: A review. Economic Development and Cultural Change, 39(3), 607–650.
  • Bracken, J. (2022). Application of Digital Advisory Tools and Services within a Farm Advisory Service Context. University College Dublin. School of Agriculture and Food Science. https://researchrepository.ucd.ie/entities/publication/c95f026c-1d5e-4b4d-bb76-2ebfe6dd5e03/details
  • Cappellari, L. & Jenkins, S.P. (2003). Multivariate Probit Regression using simulation maximum likelihood. The Stata Journal, 3(3), 278-294. https://doi.org/10.1177/1536867X0300300305
  • Chhetri, A. (2016). ICT Productivity in Agriculture. Journal of Extension Systems, 32(1). https://doi.org/10.18765/jes.v32i1.10948
  • Derso, D., Mamo, Y., & Haji, J. (2014). Analyzing socio-economic factors affecting the use of information and communication technologies among farmers in central highlands of Ethiopia. African Journal of Agricultural Science and Technology, 2(8), 163- 171.
  • FAO. (2020). Responding to COVID-19 impact in agriculture: The case of Sustainable Agricultural Mechanization in Nepal | Sustainable Agricultural Mechanization | Food and Agriculture Organization of the United Nations.
  • GC, S., Bhusal, A., Khatri, L., & Shrestha, P. (2022). Use of Information and Communications Technology for Climate Friendly Agriculture. www.namis.gov.np
  • Greene, W. H. (2003). Econometric analysis. Prentice Hall International.
  • Gyawali, K. P. (2022). Role of Social Media in Commercial Vegetable Farming for Rural Development. The Saptagandaki Journal, XIII(13).
  • Jenkins, A., Velandia, M., Lambert, D. M., Roberts, R. K., Larson, J. A., English, B. C., & Martin, S. W. (2011). Factors influencing the selection of precision farming information sources by cotton producers. Agricultural and Resource Economics Review, 40(2), 307–320.
  • Luqman, M., Yaseen, M., Ashraf, S., Mehmood, M. U., & Karim, M. (2019). Factors influencing use of information and communication technologies among farmers in rural Punjab, Pakistan. Journal of Agricultural Extension,23(2), 101-112. https://dx.doi.org/10.4314/jae.v23i2.11
  • Mittal, S., & Mehar, M. (2016). Socio-economic factors affecting adoption of modern information and communication technology by farmers in India: Analysis Using Multivariate Probit Model. Journal of Agricultural Education and Extension, 22(2), 199–212. https://doi.org/10.1080/1389224X.2014.997255
  • Nikam, V., Kumar, S., & M, K. (2021). Social network factors affecting adoption of mobile app by farmers. Indian Journal of Agricultural Sciences, 91(2), 193–197. https://doi.org/https://doi.org/10.56093/ijas.v91i2.111574
  • Nepal Telecommunication Authority (2022). Annual report 2022/23. Nepal Telecommunication Authority, Jamal, Kathmandu. https://www.nta.gov.np/uploads/contents/Approved-Annual-Report-2078-79.pdf
  • Nwafor, C. U., Ogundeji, A. A., & van der Westhuizen, C. (2020). Adoption of ICT-based information sources and market participation among smallholder livestock farmers in South Africa. Agriculture, 10(2), 44. https://doi.org/10.3390/agriculture10020044
  • Nwokoye, Ebele S., Oyim, A., & Dimnwobi, S. K. (2019). Socioeconomic determinants of information and communication technology adoption among rice farmers in ebonyi state, Nigeria. The Nigerian Journal of Economic and Social Studies, 61(3), 1–31.
  • Oikonomou, V. L., & Patsala, P. (2020). The Integration of Educational Technologies in Foreign Language Education. 253–275. https://doi.org/10.4018/978-1-7998-4972-8.CH015
  • Opara, U. N. (2008). Agricultural information sources used by farmers in Imo State, Nigeria. Information Development, 24(4), 289–295.
  • Pradhan, B. (2020). Gauging the impact of COVID-19 lockdown on farming communities and agribusinesses in Nepal – CIMMYT. CIMMYT. https://www. cimmyt.org/news/gauging-the-impact-of-covid-19-lockdown-on-farming-communities-and-agribusinesses-in-nepal/
  • Prasain, S. (2021). Paddy damage by freak rains estimated at Rs8.26 billion. Kathmandu Post.
  • Pudasainee, A., & Chaulagain, B. P. (2020). Prospects of ICT based agricultural technology in Nepal. Nepalese Journal of Agricultural Sciences, 19, 219–235.
  • Sigdel, U. P., Pyakuryal, K. N., Devkota, D., & Ojha, G. P. (2022). Paddy farmers’ knowledge, perception, and satisfaction on the use of Information and Communication Technology (ICT) tools in Nepal. Turkish Journal of Agriculture - Food Science and Technology, 10(6), 1149–1157. https://doi.org/10.24925/TURJAF.V10I6.1149-1157.4975
  • Svensson, J., & Yanagizawa, D. (2009). Getting prices right: The impact of the market information service in Uganda. Journal of the European Economic Association, 7(2–3), 435–445. https://doi.org/10.1162/JEEA.2009.7.2-3.435
  • Tanujaya, B., Prahmana, R.C.I. & Mumu, J. (2023). Likert Scale in Social Sciences Research: Problems and Difficulties. FWU Journal of Social Sciences, 16(4), 89-101. http://dx.doi.org/10.51709/19951272/Winter2022/7
  • Thapa, K. (2018). ICT in agriculture: Need of the hour - The Himalayan Times - Nepal’s No.1 English Daily Newspaper | Nepal News, Latest Politics, Business, World, Sports, Entertainment, Travel, Life Style News.
Year 2024, Volume: 6 Issue: 2, 185 - 195
https://doi.org/10.53663/turjfas.1562639

Abstract

References

  • Armstrong, L. J., Gandhi, N., & Lanjekar, K. (2012). Use of Information and Communication Technology (ICT) tools by rural farmers in Ratnagiri District of Maharastra, India. Proceedings - International Conference on Communication Systems and Network Technologies, CSNT 2012, 950–955. https://doi.org/10.1109/ CSNT.2012.202
  • Bakari, D., Gisilanbe, S.A., & Samuel, P. (2018). Assessment of Accessibility of Information and Communication Technology by Gender among Famers in Taraba State, Nigeria. Archives of Current Research International, 13(1), 1-6. https://doi.org/ 10.9734/ACRI/2018/39973
  • Belsley, D. A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics: Identifying influential data and sources of collinearity. John Wiley & Sons.
  • Bhusal, A. (2020). Agriculture and COVID-19: problems and opportunities. https://ypard.net/resources/blog/agriculture-and-covid-19-problems-and-opportunities
  • Bhusal, A., G. C., S., & Khatri, L. (2021). A review article on role of information and communication technology in agriculture and factors affecting its dissemination in Nepal. Journal of Applied Biotechnology and Bioengineering, 8(3), 81-85. https://doi. org/10.15406/jabb.2021.08.00257
  • Birkhaeuser, D., Evenson, R. E., & Feder, G. (1991). The economic impact of agricultural extension: A review. Economic Development and Cultural Change, 39(3), 607–650.
  • Bracken, J. (2022). Application of Digital Advisory Tools and Services within a Farm Advisory Service Context. University College Dublin. School of Agriculture and Food Science. https://researchrepository.ucd.ie/entities/publication/c95f026c-1d5e-4b4d-bb76-2ebfe6dd5e03/details
  • Cappellari, L. & Jenkins, S.P. (2003). Multivariate Probit Regression using simulation maximum likelihood. The Stata Journal, 3(3), 278-294. https://doi.org/10.1177/1536867X0300300305
  • Chhetri, A. (2016). ICT Productivity in Agriculture. Journal of Extension Systems, 32(1). https://doi.org/10.18765/jes.v32i1.10948
  • Derso, D., Mamo, Y., & Haji, J. (2014). Analyzing socio-economic factors affecting the use of information and communication technologies among farmers in central highlands of Ethiopia. African Journal of Agricultural Science and Technology, 2(8), 163- 171.
  • FAO. (2020). Responding to COVID-19 impact in agriculture: The case of Sustainable Agricultural Mechanization in Nepal | Sustainable Agricultural Mechanization | Food and Agriculture Organization of the United Nations.
  • GC, S., Bhusal, A., Khatri, L., & Shrestha, P. (2022). Use of Information and Communications Technology for Climate Friendly Agriculture. www.namis.gov.np
  • Greene, W. H. (2003). Econometric analysis. Prentice Hall International.
  • Gyawali, K. P. (2022). Role of Social Media in Commercial Vegetable Farming for Rural Development. The Saptagandaki Journal, XIII(13).
  • Jenkins, A., Velandia, M., Lambert, D. M., Roberts, R. K., Larson, J. A., English, B. C., & Martin, S. W. (2011). Factors influencing the selection of precision farming information sources by cotton producers. Agricultural and Resource Economics Review, 40(2), 307–320.
  • Luqman, M., Yaseen, M., Ashraf, S., Mehmood, M. U., & Karim, M. (2019). Factors influencing use of information and communication technologies among farmers in rural Punjab, Pakistan. Journal of Agricultural Extension,23(2), 101-112. https://dx.doi.org/10.4314/jae.v23i2.11
  • Mittal, S., & Mehar, M. (2016). Socio-economic factors affecting adoption of modern information and communication technology by farmers in India: Analysis Using Multivariate Probit Model. Journal of Agricultural Education and Extension, 22(2), 199–212. https://doi.org/10.1080/1389224X.2014.997255
  • Nikam, V., Kumar, S., & M, K. (2021). Social network factors affecting adoption of mobile app by farmers. Indian Journal of Agricultural Sciences, 91(2), 193–197. https://doi.org/https://doi.org/10.56093/ijas.v91i2.111574
  • Nepal Telecommunication Authority (2022). Annual report 2022/23. Nepal Telecommunication Authority, Jamal, Kathmandu. https://www.nta.gov.np/uploads/contents/Approved-Annual-Report-2078-79.pdf
  • Nwafor, C. U., Ogundeji, A. A., & van der Westhuizen, C. (2020). Adoption of ICT-based information sources and market participation among smallholder livestock farmers in South Africa. Agriculture, 10(2), 44. https://doi.org/10.3390/agriculture10020044
  • Nwokoye, Ebele S., Oyim, A., & Dimnwobi, S. K. (2019). Socioeconomic determinants of information and communication technology adoption among rice farmers in ebonyi state, Nigeria. The Nigerian Journal of Economic and Social Studies, 61(3), 1–31.
  • Oikonomou, V. L., & Patsala, P. (2020). The Integration of Educational Technologies in Foreign Language Education. 253–275. https://doi.org/10.4018/978-1-7998-4972-8.CH015
  • Opara, U. N. (2008). Agricultural information sources used by farmers in Imo State, Nigeria. Information Development, 24(4), 289–295.
  • Pradhan, B. (2020). Gauging the impact of COVID-19 lockdown on farming communities and agribusinesses in Nepal – CIMMYT. CIMMYT. https://www. cimmyt.org/news/gauging-the-impact-of-covid-19-lockdown-on-farming-communities-and-agribusinesses-in-nepal/
  • Prasain, S. (2021). Paddy damage by freak rains estimated at Rs8.26 billion. Kathmandu Post.
  • Pudasainee, A., & Chaulagain, B. P. (2020). Prospects of ICT based agricultural technology in Nepal. Nepalese Journal of Agricultural Sciences, 19, 219–235.
  • Sigdel, U. P., Pyakuryal, K. N., Devkota, D., & Ojha, G. P. (2022). Paddy farmers’ knowledge, perception, and satisfaction on the use of Information and Communication Technology (ICT) tools in Nepal. Turkish Journal of Agriculture - Food Science and Technology, 10(6), 1149–1157. https://doi.org/10.24925/TURJAF.V10I6.1149-1157.4975
  • Svensson, J., & Yanagizawa, D. (2009). Getting prices right: The impact of the market information service in Uganda. Journal of the European Economic Association, 7(2–3), 435–445. https://doi.org/10.1162/JEEA.2009.7.2-3.435
  • Tanujaya, B., Prahmana, R.C.I. & Mumu, J. (2023). Likert Scale in Social Sciences Research: Problems and Difficulties. FWU Journal of Social Sciences, 16(4), 89-101. http://dx.doi.org/10.51709/19951272/Winter2022/7
  • Thapa, K. (2018). ICT in agriculture: Need of the hour - The Himalayan Times - Nepal’s No.1 English Daily Newspaper | Nepal News, Latest Politics, Business, World, Sports, Entertainment, Travel, Life Style News.
There are 30 citations in total.

Details

Primary Language English
Subjects Applied Economics (Other)
Journal Section Research Articles
Authors

Kiran Kumar Gupta 0009-0005-2853-1246

Udit Prakash Sigdel This is me 0000-0003-3865-8820

Om Prakash Singh This is me 0000-0001-5564-5031

Pankaj Raj Dhital This is me 0009-0008-9165-980X

Ram Hari Timilsina This is me 0000-0001-7721-5120

Asmita Gupta This is me 0009-0009-9277-7127

Raksha Upreti This is me 0009-0003-9031-9751

Publication Date
Submission Date October 7, 2024
Acceptance Date October 29, 2024
Published in Issue Year 2024 Volume: 6 Issue: 2

Cite

APA Gupta, K. K., Sigdel, U. P., Singh, O. P., Dhital, P. R., et al. (n.d.). Factors affecting usage of digital advisory tools and services by vegetable farmers in Nepal. Turkish Journal of Food and Agriculture Sciences, 6(2), 185-195. https://doi.org/10.53663/turjfas.1562639

 22605      22604        23639     


17579     21244    21245   29292



21866   

Turkish Journal of Food and Agriculture Sciences (TURJFAS) is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is accordance with the BOAI (Budapest Open Access Initiative) definition of open access. 


 17580 

Turkish Journal of Food and Agriculture Sciences is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.


Journal Abbreviation: Turk J Food Agric Sci