全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Comparative Study of the Socioeconomic Characteristics and Digital Literacy Level of Agricultural Extension Personnel in Imo and Ebonyi States, South-East, Nigeria

DOI: 10.4236/as.2024.152013, PP. 230-245

Keywords: Agricultural Extension Personnel, Digital Literacy, Ebonyi State, Imo State, Socioeconomic Characteristics

Full-Text   Cite this paper   Add to My Lib

Abstract:

The study comparatively analysed the socioeconomic characteristics and digital literacy level of Agricultural Extension personnel (AEP) in Ebonyi and Imo States, South-East, Nigeria. The specific objectives were to describe the socioeconomic characteristics of agricultural extension personnel in Ebonyi and Imo States, and to ascertain the digital literacy level of AEP in the studied states. Purposive sampling technique was used to select 312 Agricultural Extension personnel (132 from Ebonyi State Agricultural Development Program and 180 from Imo State Agricultural Development Program) for the study. Data were collected through the use of validated and structured questionnaire, and administered through the help of well-trained enumerators. Data were analysed using simple descriptive statistical tools such as percentages mean score, standard deviation and weighted mean. Findings indicated that they were more male in the both States (55.3% and 57.8%) for Ebonyi and Imo State respectively and that the average age of AEP in Ebonyi and Imo States were 44.7 years and 49.2 years respectively. It was further revealed that the majority (77.3% and 82.8%) had B.Sc./HND as their highest academic qualifications, belonged to professional organisations (62.1% and 75%), and were earning an average monthly income of N58,798 and N62,648 for Ebonyi and Imo State respectively. Also, it was revealed that their mean years of service were 12.4 years and 13.4 years for Ebonyi and Imo State respectively. Almost all of them (87.9% and 95.0%) own a smartphone, had access to the internet (80.3% and 90.0%), but do not own a laptop/ipad (82.6% and 72.8%) for Ebon-yi and Imo State respectively. Results further revealed that Agricultural extension personnel in both Ebonyi and Imo State respectively had low digital literacy level ( \"\"= 2.41 and 2.32). The study concluded that AEP in Ebonyi and Imo State respectively had similar socioeconomic characteristics and low level of digital literacy. The study recommended that the management of ADPs in both Ebonyi and Imo State should ensure the training of AEP in digital skills to enhance their digital literacy level to enable them use digital technologies in their work.

References

[1]  Bolarinwa, K. (2017) Agricultural Extension Personnel (AEP) Perception of Performance Appraisal and Its Implication on the Commitment to the Job in Ogun State Agricultural Development Program, Nigeria. South African Journal of Agricultural Extension, 45, 64-72.
https://doi.org/10.17159/2413-3221/2017/v45n2a441
[2]  Issa, F. (2013) Building the Capacity of Agricultural Extension Personnel for Effective Implementation of Agricultural Transformation Agenda in Nigeria. Journal of Agricultural Extension, 17, 78-88.
https://doi.org/10.4314/jae.v17i1.8
[3]  Altalb, A.A.T., Filipek, T. and Skowron, P. (2015) The Role of Agricultural Extension in the Transfer and Adoption of Agricultural Technologies. Asian Journal of Agriculture and Food Sciences, 3, 500-507.
[4]  Godad, K. (2010) Agricultural Extension Officers in the Territory of Papua and New Guinea 1945-1975. University of Technology, Sydney.
[5]  Hoffmann, V. (2014) Governmental Extension Services, Their Generic Problems and Potential Solutions. Innovations in Extension and Advisory Services: International Conference Proceeding, CTA 129 Keynote Paper, Stuttgart, 1-11.
[6]  Francis, J. and Addom, B. (2014) Modern ICTs and Rural Extension: Have We Reached the Tipping Point. Rural21 Publication, Frankfurt.
[7]  Mapiye, O., Makombe, G., Molotsi, A., Dzama, K. and Mapiye, C. (2021) Towards a Revolutionized Agricultural Extension System for the Sustainability of Smallholder Livestock Production in Developing Countries: The Potential Role of ICTs. Sustainability, 13, Article No. 5868.
https://doi.org/10.3390/su13115868
[8]  Zikhali, W. (2017) Impact of Agricultural Staff Training and Development on Agricultural Productivity: A Case of Bubi District, Zimbabwe. International Journal of Academic Research Reflection, 5, 11-20.
[9]  Asiabaka, C. (2010) Scaling Up Agricultural Technologies for Food Security and Poverty Reduction: Whose Knowledge Counts. The Farmer or the Scientist 16 Inaugural Lecture of the Federal University of Technology Owerri.
[10]  Hamisu, S., Ardo, A., Makinta, M., Garba, L. and Musa, G. (2017) A Review on Current Status of Agricultural Extension Service in Nigeria. Asian Journal of Advances in Agricultural Research, 1, 1-8.
https://doi.org/10.9734/AJAAR/2017/34875
[11]  Davis, K., Lion, K. and Arokoyo, T. (2019) Organisational Capacities and Management of Agricultural Extension Services in Nigeria: Current Status. South African Journal of Agricultural Extension, 47, 118-127.
https://doi.org/10.17159/2413-3221/2019/v47n2a508
[12]  ISSA and Kagbu, J. (2017) Institutional Factors Influencing Crop Farmers Adoption of Recommended Agrochemical Practices in Nigeria. Journal of Agricultural Extension, 21, 198-203.
https://doi.org/10.4314/jae.v21i1.16
[13]  World Bank (2019) Nigeria Digital Economy Diagnostic Report. World Bank, Washington DC.
[14]  Townsend, R., Lampietti, J.A., Treguer, D.O., Schroeder, K.G., Haile, M.G., Juergenliemk, A., Hasiner, E., Horst, A.C. and Hakobyan, A. (2019) Future of Food: Harnessing Digital Technologies to Improve Food System Outcomes. The World Bank, Washington DC.
[15]  James, J. (2021) Confronting the Scarcity of Digital Skills among the Poor in Developing Countries. Development Policy Review, 39, 324-339.
https://doi.org/10.1111/dpr.12479
[16]  Ragnedda, M. (2017) The Third Digital Divide: A Weberian Approach. Routledge, New York.
https://doi.org/10.4324/9781315606002
[17]  World Bank (2016) World Development Report 2016: Digital Dividends. The World Bank, Washington DC.
[18]  Agwu, A.E., Uche-Mba, U. and Akinnagbe, O. (2008) Use of Information Communication Technologies (ICTs) among Researchers, Extension Workers and Farmers in Abia and Enugu States: Implications for a National Agricultural Extension Policy on ICTs. Journal of Agricultural Extension, 12, 37-49.
https://doi.org/10.4314/jae.v12i1.47025
[19]  Abenga, J.K., Alabuja, F.O., Bako, H., Ajayi, A.H. and Sennuga, S.O. (2022) Barriers to Effective Extension Agents and Smallholder Farmer Communication in Gwagwalada Area Council, Abuja, Nigeria.
[20]  Thatcher, A. and Ndabeni, M. (2013) A Psychological Model to Understand e-Adoption in the Context of the Digital Divide. In: Information Resources Management Association, Ed., Digital Literacy: Concepts, Methodologies, Tools, and Applications, IGI Global, Hershey, 1402-1424.
https://doi.org/10.4018/978-1-4666-1852-7.ch074
[21]  Southeast Archives, in Premium Times (2022).
https://www.premiumtimes.com
[22]  MyGuide (2023) Southeastern Nigeria.
https://www.myguidenigeria.com/regionalinfo/south-east-region
[23]  Okeowo, T.A. (2015) Analysis of Competency and Training Needs among Agricultural Extension Personnel in Lagos State. International Journal of Forestry and Horticulture, 1, 14-21.
[24]  Norton, G.W. and Alwang, J. (2020) Changes in Agricultural Extension and Implications for Farmer Adoption of New Practices. Applied Economic Perspectives Policy, 42, 8-20.
https://doi.org/10.1002/aepp.13008
[25]  Sennuga, S.O., Oyewole, S.O. and Emeana, E. (2020) Farmers’ Perceptions of Agricultural Extension Agents’ Performance in Sub-Saharan African Communities. International Journal of Environmental Agriculture Research, 5, 1-12.
[26]  Aphunu, A. and Otoikhian, C.S. (2021) Farmers’ Perception of the Effectiveness of Extension Agents of Delta State Agricultural Development Programme (DADP). African Journal of General Agriculture, 4, 121-130.
[27]  Andati, P., Majiwa, E., Ngigi, M., Mbeche, R. and Ateka, J. (2022) Determinants of Adoption of Climate Smart Agricultural Technologies among Potato Farmers in Kenya: Does Entrepreneurial Orientation Play a Role? Sustainable Technology and Entrepreneurship, 1, Article ID: 100017.
https://doi.org/10.1016/j.stae.2022.100017
[28]  Tauzie, M., Hermans, T. and Whitfield, S. (2023) The New Achikumbe Elite: Food Systems Transformation in the Context of Digital Platforms Use in Agriculture in Malawi. Agriculture Human Values.
https://doi.org/10.1007/s10460-023-10494-8
[29]  Mustapha, S., Man, N., Shah, J.A., Kamarulzaman, N.H. and Tafida, A.A. (2022) Factors Influencing the Adoption of ICT’s in Extension Service Delivery among the Extension Agents in North-East, Nigeria. Sarhad Journal of Agriculture, 38, 149-159.
https://doi.org/10.17582/journal.sja/2022/38.1.149.159
[30]  Nchor, J.U. (2023) Livelihood Strategies and Their Determinants among Informal Households in Calabar, Nigeria. Sustainability, 15, Article No. 2855.
https://doi.org/10.3390/su15042855
[31]  Ema, E.-O.S., Obidiegwu, J.E., Chilaka, C.A. and Akpabio, E.M. (2023) Indigenous Food Yam Cultivation and Livelihood Practices in Cross River State, Nigeria. World, 4, 314-332.
https://doi.org/10.3390/world4020020
[32]  Ige, A. and Ojo, T. (2023) Does Agricultural Cooperative Membership Impact Poverty Level of Cocoa Farmers in Southwestern Nigeria? African Geographical Review.
https://doi.org/10.1080/19376812.2023.2218344
[33]  Manteaw, S., Folitse, B., Mahama, S. and Wahaga, E. (2023) Sources of Agricultural Extension Information and Farmers’ Willingness to Pay for the Information: Evidence from Small-Scale Pineapple Farmers in South-Eastern Ghana. African Journal of Science, Technology, Innovation Development.
https://doi.org/10.1080/20421338.2022.2149041
[34]  Matthews-Njoku, E., Angba, A. and Nwakwasi, R. (2009) Factors Influencing Role Performance of Community Based Organisations in Agricultural Development. International NGO Journal, 4, 313-317.
[35]  Idiegbeyan-Ose, J., Owolabi, A., Segun-Adeniran, C., Aregbesola, A., Emmanuel Owolabi, S. and Eyiolorunshe, T. (2019) Information Provision by Public Library to Agricultural Extension Agents in a Developing Country. Public Library Quarterly, 38, 103-115.
https://doi.org/10.1080/01616846.2018.1555412
[36]  Aguinis, H. and Burgi-Tian, J. (2021) Measuring Performance during Crises and Beyond: The Performance Promoter Score. Business Horizons, 64, 149-160.
https://doi.org/10.1016/j.bushor.2020.09.001
[37]  Kang, H., Turi, J.A., Bashir, S., Alam, M.N. and Shah, S.A. (2021) Moderating Role of Information System and Mobile Technology with Learning and Forgetting Factors on Organizational Learning Effectiveness. Learning Motivation, 76, Article ID: 101757.
https://doi.org/10.1016/j.lmot.2021.101757
[38]  Oyinbo, O., Chamberlin, J. and Maertens, M. (2020) Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria. Journal of Agricultural Economics, 71, 798-815.
https://doi.org/10.1111/1477-9552.12371
[39]  Balogun, F. (2020) Digital Sector Skills Report. Young Africa Works.
[40]  NITDA (2020) Nigeria Digital Agriculture Strategy 2020-2030. Draft.
https://nitda.gov.ng/wp-content/upload
[41]  Nwachukwu, I. (2023) Developing Digital Communication Technology for Agricultural Development: The Entrepreneurial Imperative.
[42]  Anthonysamy, L., Koo, A.C. and Hew, S.H.J.E. (2020) Self-Regulated Learning Strategies in Higher Education: Fostering Digital Literacy for Sustainable Lifelong Learning. Education Information Technologies, 25, 2393-2414.
https://doi.org/10.1007/s10639-020-10201-8

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413