journal article·2023-03-19Open access

Information and Communication Technologies and Agricultural Production: New Evidence from Africa

Robert Ugochukwu Onyeneke, Daniel Adu Ankrah, Richmond Atta-Ankomah, Fred Fosu Agyarko, Chinenye Judith Onyeneke, Jalil Ghassemi Nejad

Applied Sciences· Volume 13· Issue 6

Abstract

While information and communication technologies (ICT) have proven to be useful in boosting agricultural production and productivity, regardless of the geographical location, much of the discussion on ICT and their impact focus on the global north, with deficient literature on the global south. The limited account of the global south shows mixed conclusions on the impact of information and communication technologies on agricultural production, with most studies focusing on crop production, as a proxy for agricultural production, leaving out livestock production. Animated by this concern, this article explores the impact of ICTs on agricultural production (crop and livestock) in Africa using panel data from 32 African countries and the panel autoregressive distributed lag model as the estimation technique. We find that individuals using internet significantly increased crop production in the long run. Specifically, a percentage increase in internet patronage increases crop production by 0.071% but significantly decreases the livestock production index, both in the short and long run. Mobile phone subscriptions had a significant negative impact on crop production in the long run but had a significant positive impact on livestock production in the long run. Fixed phone subscriptions significantly increased crop production in the long run but significantly decreased livestock production index in the long run. The findings show bidirectional causality between crop production and internet patronage, livestock production and individuals using internet, crop production and mobile cellular subscription, crop production and net national income, and rural population and both crop and livestock production. We recommend that governments in Africa increase funding investment in digital technologies to foster increased agricultural production while addressing structural challenges that constrain increased access to digital agricultural technologies. It might be useful if governments in sub-Saharan Africa (SSA) incentivize the telecommunication companies to extend digital coverage to rural areas through tax rebates and holidays to encourage rural inclusion in the digital space to bridge the digital divide.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Agricultural Innovations and Practices · ICT Impact and Policies · Innovation Diffusion and Forecasting

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Agriculture, Alex Ekwueme Federal University Ndufu-Alike, Ikwo 482131, Nigeria

Department of Agricultural Extension, University of Ghana, Accra P.O. Box LG 68, Ghana

Institute of Statistical Social and Economic Research (ISSER), College of Humanities, University of Ghana, Accra P.O. Box LG 74, Ghana

Institute for Scientific and Technological Information (INSTI), Accra P.O. Box M 32, Ghana

Centre for Entrepreneurship and Employability, Alex Ekwueme Federal University Ndufu-Alike, Ikwo 482131, Nigeria

Department of Animal Science and Technology, Sanghuh College of Animal Life Sciences, Konkuk University, Seoul 05029, Republic of Korea

References (100+)

Show source-provided references
1. Will digital solution transform Sub-Sahara African agriculture?
2. World Bank (2023, March 10). Individuals Using the Internet (% of Population)—Sub-Saharan Africa. Available online: https://data.worldbank.org/indicator/IT.NET.USER.ZS?locations=ZG.
3. GSMA (2023, March 10). The Mobile Economy Sub-Saharan Africa 2022. Available online: https://www.gsma.com/mobileeconomy/wp-content/uploads/2022/10/The-Mobile-Economy-Sub-Saharan-Africa-2022.pdf.
4. Gillwald, A., and Mothobi, O. (2023, March 03). After Access 2018: A Demand-Side View of Mobile Internet from 10 African Countries. Available online: https://researchictafrica.net/wp/wp-content/uploads/2019/05/2019_After-Access_Africa-Comparative-report.pdf.
5. LIRNEasia (2023, March 03). Understanding Digital Access and Use in the Global South: Final Technical Report. Available online: https://idl-bnc-idrc.dspacedirect.org/bitstream/handle/10625/59183/IDL-59183.pdf?sequence=2&isAllowed=y.
6. Credit for households in Ghana: Has mobile money (momo) improved inclusive access?
7. Welfare Effects of Financial Inclusion Services in Ghana: A Comparative Analysis of Mobile Money and Other Financial Services
8. CEMA (2023, March 10). Digital Farming: What Does It Really Mean? 2017; p. 9. Available online: https://www.cema-agri.org/images/publications/position-papers/CEMA_Digital_Farming_-_Agriculture_4.0__13_02_2017_0.pdf.
9. Smart farming: Including rights holders for responsible agricultural innovation10.22215/timreview/1135 ↗
10. Big data in smart farming—A review10.1016/j.agsy.2017.01.023 ↗
11. Agriculture 4.0: Broadening responsible innovation in an era of smart farming10.3389/fsufs.2018.00087 ↗
12. Baierle, I.C., da Silva, F.T., de Faria Correa, R.G., Schaefer, J.L., Da Costa, M.B., Benitez, G.B., and Benitez Nara, E.O. (2022). Competitiveness of Food Industry in the Era of Digital Transformation towards Agriculture 4.0. Sustainability, 14.10.3390/su141811779 ↗
13. Adam, U. (2019, March 11). ‘Farming 4.0’ at the Farm Gates. Available online: https://www.euractiv.com/section/agriculture-food/opinion/farming-4-0-digital-technology-at-the-farm-gates/.
14. EurActiv (2023, March 10). Farming 4.0: The Future of Agriculture?. Available online: https://euractiv.eu/wp-content/uploads/sites/2/infographic/CEMA-18102016-EN-A4-V02-1.pdf.
15. An overview of agriculture 4.0 development: Systematic review of descriptions, technologies, barriers, advantages, and disadvantages10.1016/j.compag.2021.106405 ↗
16. An MCDM-Based Approach to Evaluate the Performance Objectives for Strategic Management and Development of Energy Cloud10.1016/j.jclepro.2021.128853 ↗
17. Factors Influencing the Adoption of Smart Farming by Brazilian Grain Farmers10.22434/IFAMR2018.0086 ↗
18. Digitalisation of Agricultural Knowledge and Advice Networks: A State-of-the-Art Review10.1016/j.agsy.2019.102763 ↗
19. Balducci, F., Impedovo, D., and Pirlo, G. (2018). Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement. Machines, 6.10.3390/machines6030038 ↗
20. An Artificial Intelligence and Knowledge-Based System to Support the Decision-Making Process in Sales
21. Key Questions on the Use of Big Data in Farming: An Activity Theory Approach
22. Ethics of Smart Farming: Current Questions and Directions for Responsible Innovation towards the Future
23. Impact of Digitalization on the Speed of Internationalization10.5539/ibr.v12n4p1 ↗
24. IoT Based Low Cost and Intelligent Module for Smart Irrigation System10.1016/j.compag.2019.05.027 ↗
25. Evaluating Fidelity of Lossy Compression on Spatiotemporal Data from an IoT Enabled Smart Farm10.1016/j.compag.2018.08.045 ↗
26. Image Recognition of Legacy Blueberries in a Chilean Smart Farm through Deep Learning10.1016/j.compag.2019.105044 ↗
27. Digital Agriculture Practices in the Context of Agriculture 4.010.17261/Pressacademia.2017.448 ↗
28. In the Starting Blocks for Smart Agriculture: The Internet as a Source of Knowledge in Transitional Agriculture
29. Blockchain for 5G-Enabled IoT for Industrial Automation: A Systematic Review, Solutions, and Challenges10.1016/j.ymssp.2019.106382 ↗
30. Zambon, I., Cecchini, M., Egidi, G., Saporito, M.G., and Colantoni, A. (2019). Revolution 4.0: Industry vs. Agriculture in a Future Development for SMEs. Process, 7.10.3390/pr7010036 ↗
31. Tsan, M., Totapally, S., Hailu, M., and Addom, B. (2020, October 06). The Digitalisation of African Agriculture Report 2018–2019. CTA. Available online: https://www.cta.int/en/digitalisation-agriculture-africa.
32. Muyiramye, D., and Addom, B.K. (2023, March 10). COVID-19 and Agriculture in Africa: Implications for Digitalisation. Available online: http://res.cloudinary.com/cta/raw/upload/v1601629259/1601629258808-COVID-19-and-Agriculture-in-Africa-implications-for-Digitalisation.pdf.
33. Schroeder, K., Lampietti, J., and Elabed, G. (2021). What’s Cooking: Digital Transformation of the Agrifood System, World Bank. Agriculture and Food Series.10.1596/978-1-4648-1657-4 ↗
34. Trendov, N.M., Varas, S., and Zeng, M. (2023, March 10). Digital Technologies in Agriculture and Rural Areas Briefing Paper; p. 26. Food and Agriculture Organization of the United Nations: Rome, Italy. Available online: http://www.fao.org/3/ca4887en/ca4887en.pdf.
35. Goedde, L., McCullough, R., Ooko-Ombaka, A., and Pais, G. (2021). How Digital Tools Can Help Transform African Agri-Food Systems, McKinsey & Company.
36. Harkin, M. (2023, March 10). ICT Adoption as an Agricultural Information Dissemination Tool: A Historical Perspective. Available online: https://economics.agri.huji.ac.il/sites/default/files/agri_economics/files/gelb-harkin-3.pdf.
37. May, J., Karugia, J., and Ndokweni, M. (2023, March 10). Information and Communication Technologies and Agricultural Development in Sub-Saharan Africa: Transformation and Employment Generation (Final Framework Paper Prepared for the African Economic Research Consortium, AERC). Available online: https://www.africaportal.org/publications/information-and-communication-technologies-and-agricultural-development-in-sub-saharan-africa-transformation-and-employment-generation/.
38. International connectivity and the digital divide in Sub-Saharan Africa10.1016/j.infoecopol.2020.100901 ↗
39. Taura, N.D., Bolat, E., and Madichie, N.O. (2019). Digital Entrepreneurship in Sub-Saharan Africa: Challenges, Opportunities and Prospects, Springer International Publishing.10.1007/978-3-030-04924-9 ↗
40. United Nations Department of Economic and Social Affairs (2018). United Nation e-Government Survey: Gearing e-Government to support Transformation towards Sustainable and Resilient Societies, United Nations. Available online: https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2018-Survey/E-Government%20Survey%202018_FINAL%20for%20web.pdf.10.18356/d54b9179-en ↗
41. Dial “A” for agriculture: A review of information and communication technologies for agricultural extension in developing countries10.1111/j.1574-0862.2011.00545.x ↗
42. The digital provide: Information (technology), market performance, and welfare in the South Indian Fisheries Sector10.1162/qjec.122.3.879 ↗
43. Thompson, T., and Gyatso, T. (2023, March 10). Technology Adoption for Improving Agricultural Productivity in Sub-Saharan Africa. Global Agricultural Productivity Report. Available online: www.globalagriculturalproductivity.org.
44. Do farmers gain internet dividends from ecommerce adoption? Evidence from China10.1016/j.foodpol.2021.102024 ↗
45. Impact of internet use on economic wellbeing of rural households: Evidence from China10.1111/rode.12645 ↗
46. Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis10.1016/j.foodpol.2021.102044 ↗
47. Agricultural data sharing and sustainable development of ecosystem based on block Chain10.1016/j.jclepro.2021.127869 ↗
48. Halewood, N.J., and Surya, P. (2012). Mobilizing the Agricultural Value Chain in Information and Communication for Development-Maximising Mobile, World Bank.10.1596/9780821389911_ch02 ↗
49. Mobile phones and economic development in Africa10.1257/jep.24.3.207 ↗
50. The role of ICTs in agricultural production in Africa10.5897/JDAE2013.0517 ↗
51. Mobile phone coverage and producer markets: Evidence from West Africa10.1093/wber/lhu006 ↗
52. Mramba, N., Rumanyika, J., Apiola, M., and Suhonen, J. (2017, January 18–20). ICT for informal workers in sub-Saharan Africa: Systematic review and analysis. Proceedings of the 2017 IEEE AFRICON, Cape Town, South Africa.10.1109/AFRCON.2017.8095530 ↗
53. Effect of information communication technology (ICT) on agricultural information access among extension officers in North West Province South Africa
54. Sen, S., and Choudhary, V. (2011). ICT in Agriculture: Connecting Smallholders to Knowledge, Networks and Institutions E-Source Book, World Bank. Available online: https://cto.int/wp-content/themes/solid/_layout/dc/k-r/ICT_in_Ag_Sourcebook_web_light.pdf.
55. Leveraging digital technologies to boost productivity in the informal sector in Sub-Saharan Africa10.1111/ropr.12441 ↗
56. ICT and agricultural sector performance: Empirical evidence from sub-Saharan Africa10.1186/s43093-022-00130-y ↗
57. A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda
58. Perceptions of the fourth agricultural revolution: What’s in, what’s out, and what consequences are anticipated?10.1111/soru.12324 ↗
59. Evans, O. (2018). Digital Agriculture: Mobile Phones, Internet & Agricultural Development in Africa, University Library of Munich. MPRA Paper 90359.
60. Suroso, A.I., Fahmi, I., and Tandra, H. (2022). The Role of Internet on Agricultural Sector Performance in Global World. Sustainability, 14.10.3390/su141912266 ↗
61. Quandt, A., Salerno, J.D., Neff, J.C., Baird, T.D., Herrick, J.E., McCabe, J.T., Xu, E., and Hartter, J. (2020). Mobile phone use is associated with higher smallholder agricultural productivity in Tanzania, East Africa. PLoS ONE, 15.10.1371/journal.pone.0237337 ↗
62. Impact of information and communication technologies (ICTS) on agricultural productivity among smallholder farmers: Evidence from Sub-Saharan African communities
63. Information and Communication Technologies (ICTs) attract youth into profitable agriculture in Kenya10.1080/00128325.2015.1040645 ↗
64. Mobile phone adoption in agri-food sector: Are farmers in Sub-Saharan Africa connected?10.1016/j.techfore.2017.12.010 ↗
65. Smallholder farmers and mobile phone technology in Sub-Sahara Agriculture
66. Impact of ICTs on Agricultural Productivity
67. Dagne, T.W., and Oguamanam, C. (2023, March 10). ICTs in Agricultural Production and Potential Deployment in Operationalising Geographical Indications in Uganda. Ottawa Faculty of Law Working Paper No. 2018-24. Available online: http://dx.doi.org/10.2139/ssrn.3241169.10.2139/ssrn.3241169 ↗
68. Harnessing digital technologies for poverty reduction. Evidence for low-income and lower-middle income countries10.1016/j.telpol.2022.102313 ↗
69. Welde, A.A. (2022). Proceedings of the Eighteenth International Conference on the Ethiopian Economy, Ethiopian Economics Association (EEA).
70. Mobile phone use by small-scale farmers: A potential to transform production and marketing in Zimbabwe
71. Influence of mobile phone and internet technology on income of rural farmers: Evidence from Khyber Pakhtunkhwa Province, Pakistan10.1016/j.techsoc.2022.101866 ↗
72. Khan, N., Ray, R.L., Kassem, H.S., Ihtisham, M., Asongu, S.A., Ansah, S., and Zhang, S. (2021). Toward cleaner production: Can mobile phone technology help reduce inorganic fertilizer application? Evidence using a national level dataset. Land, 10.10.3390/land10101023 ↗
73. Can the Internet improve agricultural production? Evidence from Viet Nam10.1111/agec.12517 ↗
74. Chidiebere-Mark, N.M., Onyeneke, R.U., Uhuegbulem, I.J., Ankrah, D.A., Onyeneke, L.U., Anukam, B.N., and Chijioke-Okere, M.O. (2022). Agricultural production, renewable energy consumption, foreign direct investment, and carbon emissions: New evidence from Africa. Atmosphere, 13.10.3390/atmos13121981 ↗
75. Financial development and carbon emissions in Sub-Saharan Africa10.1007/s11356-021-17161-7 ↗
76. Impact of climate change on cereal production: Evidence from lower-middle-income countries10.1007/s11356-021-14373-9 ↗
77. Testing for Granger non-causality in heterogeneous panels10.1016/j.econmod.2012.02.014 ↗
78. Hamadeh, N., Rompaey, C.V., Metreau, E., and Eapen, S.G. (2023, March 11). New World Bank Country Classifications by Income Level: 2022–2023. Available online: https://blogs.worldbank.org/opendata/new-world-bank-country-classifications-income-level-2022-2023.
79. Cain, T.N. (2023, March 11). The Role of the Private Sector in Promoting Economic Growth and Reducing Poverty in the Indo-Pacific Region. Lowy Institute for International Policy. Available online: https://think-asia.org/bitstream/handle/11540/6707/LOWY-private-sector-indo-pacific.pdf?sequence=1.
80. Assessing the combined effects of temperature, precipitation, total ecological footprint, and carbon footprint on rice production in Nigeria: A dynamic ARDL simulations approach10.1007/s11356-022-21656-2 ↗
81. Onyeneke, R.U., Emenekwe, C.C., Adeolu, A.I., and Ihebuzor, U.A. (2022). Climate change and cattle production in Nigeria: Any role for ecological and carbon footprints?. Int. J. Environ. Sci. Technol., 1–14.10.1007/s13762-022-04721-8 ↗
82. Onyeneke, R.U., Ejike, R.D., Osuji, E.E., and Chidiebere-Mark, N.M. (2022). Does climate change affect crops differently? New evidence from Nigeria. Environ. Dev. Sustain., 1–27.10.1007/s10668-022-02714-8 ↗
83. Ma, Q., Zheng, S., and Deng, P. (2022). Impact of Internet Use on Farmers’ Organic Fertilizer Application Behavior under the Climate Change Context: The Role of Social Network. Land, 11.10.3390/land11091601 ↗
84. Akhigbe, B.I., Munir, K., Akinade, O., Akanbi, L., and Oyedele, L.O. (2021). IoT technologies for livestock management: A review of present status, opportunities, and future trends. Big Data Cogn. Comput., 5.10.3390/bdcc5010010 ↗
85. Digital livestock farming10.1016/j.sbsr.2021.100408 ↗
86. Internet of Things in agriculture, recent advances and future challenges10.1016/j.biosystemseng.2017.09.007 ↗
87. Livelihood diversification, mobile phones and information diversity in Northern Tanzania10.1016/j.landusepol.2017.05.031 ↗
88. Mobile phones and women’s empowerment in Maasai communities: How men shape women’s social relations and access to phones10.1016/j.jrurstud.2020.04.013 ↗
89. Has mobile phone technology aided the growth of agricultural productivity in sub-Saharan Africa?10.4102/sajems.v24i1.3744 ↗
90. Houghton, D. (2023, March 10). Cell Phones and Cattle: The Impact of Mobile Telephony on Agricultural Productivity in Developing Nations. Available online: https://dukespace.lib.duke.edu/dspace/bitstream/handle/10161/1388/Houghton,%20Daniel.pdf?sequence=1.
91. Huang, Z., Zhuang, J., and Xiao, S. (2022). Impact of Mobile Internet Application on Farmers’ Adoption and Development of Green Technology. Sustainability, 14.10.3390/su142416745 ↗
92. Effect of changes in population density and crop productivity on farm households in Malawi10.1111/agec.12513 ↗
93. The impact of agricultural growth on the rural development in Vietnam
94. Effects of rising rural population density on smallholder agriculture in Kenya10.1016/j.foodpol.2014.03.001 ↗
95. Computer and internet use by great plains farmers
96. A Survey on Soil Quality Testing using Sensors in Smart Agriculture for Crop Production and Maintenance using Internet of Things (IOT)
97. Ferrer, S.R., Schroeder, D.H., and Ortmann, G.F. (2003, January 2–3). Internet Use and Factors Affecting Adoption of Internet Applications by Sugarcane Farm Businesses in the Kwazulunatal Midlands. Proceedings of the 41st Annual Conference of the Agricultural Economic Association of South Africa (AEASA), Pretoria, South Africa.
98. Internet access and internet purchasing patterns of farm households10.1017/S1068280500003233 ↗
99. Does the use of mobile phones by smallholder maize farmers affect productivity in Ghana?10.1080/15228916.2017.1416215 ↗
100. Farmers’ use of mobile phone for accessing agricultural information in Pakistan10.1590/0103-8478cr20181016 ↗