Agric. Econ. - Czech, 2026, 72(2):101-119 | DOI: 10.17221/84/2025-AGRICECON

Nexus of agricultural informatisation and sustainable practices: Food security implications for drought-affected maize farmers in ZambiaOriginal Paper

Shangao Wang1, Gershom Endelani Mwalupaso ORCID...2,3, Xianhui Geng2, Emmanuel Kiprop2, Jotham Bett2, Dancun Kibiwott Kimwei2
1 School of Management, Nanjing University of Posts and Telecommunications, Nanjing, P.R. China
2 College of Economics and Management, Nanjing Agricultural University, Weigang, Nanjing, P.R. China
3 Department of Agriculture and Agribusiness, Prince G Consultancy and Academy, Kabwe, Zambia

Agricultural informatisation (AgI) is hailed as a 'game-changer' for farmers worldwide, even as climate change increases agriculture's vulnerability to climatic risks and threatens sustainable agrifood production. While AgI aspires to help alleviate hunger and poverty in smallholder farm households by improving on-farm productivity through the promotion of sustainable agricultural practices (SAPs), limited empirical evidence exists on the AgI–SAPs nexus, particularly under severe environmental stress such as drought. We analysed data from a survey of maize farmers in central Zambia – a country exemplifying the impact of severe drought, declared a national emergency and disaster – to explore whether and how AgI can optimise SAP adoption and improve crop yields. Given the potential endogeneity of AgI adoption, we employed a recursive bivariate probit (RBP) and endogenous-treatment regression (ETR) to estimate the former and the latter, respectively. We focused on adoption portfolios of three AgI tools – radio, television and mobile phones – and five SAPs: minimum tillage, residue retention, planting basins, improved seed varieties and irrigation. The results reveal that AgI adoption significantly influences SAP adoption, with varying impacts across different AgI and SAP portfolios. Importantly, the adoption of productivity-enhancing SAPs, particularly improved seed and drip irrigation, produced the largest yield effects (124.46 g/capita/day) for AgI adopters. This increase potentially contributes 43.21% towards daily maize-supply quantity, which is crucial for helping households meet the minimum recommended daily caloric intake. The study therefore underscores that AgI plays a critical role in improving yields through SAP adoption, serving as a compelling pathway for agricultural resilience, especially under adverse climatic conditions. These insights align with the United Nations Sustainable Development Goals (SDGs), particularly those aimed at zero hunger, climate action and poverty alleviation, which advocate re-thinking and transforming food-production strategies.

Keywords: information and communication technology; sustainable intensification;severe drought; maize yield; smallholder agrifood production

Received: February 26, 2025; Revised: October 7, 2025; Accepted: October 27, 2025; Prepublished online: January 26, 2026; Published: February 26, 2026  Show citation

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Wang S, Mwalupaso GE, Geng X, Kiprop E, Bett J, Kimwei DK. Nexus of agricultural informatisation and sustainable practices: Food security implications for drought-affected maize farmers in Zambia. Agric. Econ. - Czech. 2026;72(2):101-119. doi: 10.17221/84/2025-AGRICECON.
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References

  1. Abate G.T., Abay K.A., Chamberlin J., Kassim Y., Spielman D.J., Tabe-Ojong M.P.J. (2023): Digital tools and agricultural market transformation in Africa: Why are they not at scale yet, and what will it take to get there? Food Policy, 116: 102439. Go to original source...
  2. Abdulai A.N. (2016): Impact of conservation agriculture technology on household welfare in Zambia. Agricultural Economics, 47: 729-741. Go to original source...
  3. Abdulai A.-R., Tetteh Quarshie P., Duncan E., Fraser E. (2023): Is agricultural digitization a reality among smallholder farmers in Africa? Unpacking farmers' lived realities of engagement with digital tools and services in rural Northern Ghana. Agriculture & Food Security, 12: 11. Go to original source...
  4. Abdulqadir I.A., Asongu S.A. (2022): The asymmetric effect of internet access on economic growth in sub-Saharan Africa. Economic Analysis and Policy, 73: 44-61. Go to original source...
  5. Adam B., Abdulai A. (2023): Minimum tillage as climate-smart agriculture practice and its impact on food and nutrition security. PloS one, 18: e0287441. Go to original source... Go to PubMed...
  6. Agyekumhene C., de Vries J.R., van Paassen A., Macnaghten P., Schut M., Bregt A. (2018): Digital platforms for smallholder credit access: The mediation of trust for cooperation in maize value chain financing. NJAS - Wageningen Journal of Life Sciences, 86: 77-88. Go to original source...
  7. Ahmed M.H. (2022): Impact of improved seed and inorganic fertiliser on maize yield and welfare: Evidence from Eastern Ethiopia. Journal of Agriculture and Food Research, 7: 100266. Go to original source...
  8. Aker J.C., Ghosh I., Burrell J. (2016): The promise (and pitfalls) of ICT for agriculture initiatives. Agricultural Economics, 47: 35-48. Go to original source...
  9. Akers R.L., Jennings W.G. (2015): Social learning theory. In: Piquero A.R. (ed): The Handbook of Criminological Theory. Hoboken, John Wiley & Sons, Inc: 230-240. Go to original source...
  10. Akter A., Geng X., Mwalupaso G.E., Lu H., Hoque F., Ndungu M.K., Abbas Q. (2022): Income and yield effects of climate-smart agriculture (CSA) adoption in flood prone areas of Bangladesh: Farm level evidence. Climate Risk Management, 37: 100455. Go to original source...
  11. Alabdali S.A., Pileggi S.F., Cetindamar D. (2023): Influential factors, enablers, and barriers to adopting smart technology in rural regions: A literature review. Sustainability, 15: 7908. Go to original source...
  12. Amadu F.O., McNamara P.E., Miller D.C. (2020a): Yield effects of climate-smart agriculture aid investment in southern Malawi. Food Policy, 92: 101869. Go to original source...
  13. Ayim C., Kassahun A., Addison C., Tekinerdogan B. (2022): Adoption of ICT innovations in the agriculture sector in Africa: A review of the literature. Agriculture & Food Security, 11: 22. Go to original source...
  14. Bandura A. (1969): Social-learning theory of identificatory processes. In: Goslin D.A. (ed): Handbook of Socialization Theory and Research. Chicago, Rand McNally & Company: 213-262.
  15. Barrett C.B. (2021): Overcoming global food security challenges through science and solidarity. American Journal of Agricultural Economics, 103: 422-447. Go to original source...
  16. Batista C., Vicente P.C. (2020): Improving access to savings through mobile money: Experimental evidence from African smallholder farmers. World Development, 129: 104905. Go to original source...
  17. Bhattacharya U., Naskar M.K., Venugopalan V.K., Sarkar S., Bandopadhyay P., Maitra S., Gaber A., Alsuhaibani A.M., Hossain A. (2023): Implications of minimum tillage and integrated nutrient management on yield and soil health of rice-lentil cropping system - Being a resource conservation technology. Frontiers in Sustainable Food Systems, 7: 1225986. Go to original source...
  18. Cao Y., Cai H., Sun S., Gu X., Mu Q., Duan W., Zhao Z. (2022): Effects of drip irrigation methods on yield and water productivity of maize in northwest China. Agricultural Water Management, 259: 107227. Go to original source...
  19. Cariolle J. (2021): International connectivity and the digital divide in sub-Saharan Africa. Information Economics and Policy, 55: 100901. Go to original source...
  20. Choruma D.J., Dirwai T.L., Mutenje M.J., Mustafa M., Chimonyo V.G.P., Jacobs-Mata I., Mabhaudhi T. (2024): Digitalisation in agriculture: A scoping review of technologies in practice, challenges, and opportunities for smallholder farmers in sub-Saharan Africa. Journal of Agriculture and Food Research, 18: 101286. Go to original source...
  21. Coban M. (2021): Rbiprobit: Recursive bivariate probit estimation and decomposition of marginal effects. In: Stata Conference 2021. London, Aug 5-6, 2021.
  22. Cooper R.J., Hama-Aziz Z.Q., Hiscock K.M., Lovett A.A., Vrain E., Dugdale S.J., Sünnenberg G., Dockerty T., Hovesen P., Noble L. (2020): Conservation tillage and soil health: Lessons from a 5-year UK farm trial (2013-2018). Soil and Tillage Research, 202: 104648. Go to original source...
  23. Das S., Ahmed K.U., Awal M.A. (2021): The role of radio and television in the dissemination of agricultural technologies among farmers of Bangladesh. Bangladesh Journal of Agriculture, 46: 55-64. Go to original source...
  24. De Los Rios C. (2022): The double fence: Overlapping institutions and deforestation in the Colombian Amazon. Ecological Economics, 193: 107274. Go to original source...
  25. Domguia E.N., Asongu S.A. (2021): ICT and agriculture in sub-Saharan Africa: Effects and transmission channels. Information Development: 02666669251333759.
  26. Duncan E., Abdulai A.-R., Fraser E.D.G. (2021): Modernizing agriculture through digital technologies: Prospects and challenges. In: Harvey J.S. Jr (ed): Handbook on the Human Impact of Agriculture. Cheltenham, Edward Elgar Publishing: 138-161. Go to original source...
  27. Ehiakpor D.S., Danso-Abbeam G., Mubashiru Y. (2021): Adoption of interrelated sustainable agricultural practices among smallholder farmers in Ghana. Land Use Policy, 101: 105142. Go to original source...
  28. FAO (2023): Digital Innovation for Promoting Decent Rural Employment in Agriculture for Youth and Women in the Near East and North Africa. Cairo, FAO. Available at https://openknowledge.fao.org/items/7c729d6a-e22a-4591-bc6a-1856af04c661
  29. FAOSTAT (2018-2022): Food Balances [Dataset]. Available at https://www.fao.org/faostat/en/#data/FBS (accessed on November 10, 2024)
  30. Giulivi N., Harou A.P., Gautam S., Guereña D. (2023): Getting the message out: Information and communication technologies and agricultural extension. American Journal of Agricultural Economics, 105: 1011-1045. Go to original source...
  31. Goedde L., McCullough R., Ooko-Ombaka A., Pais G. (2021): How Digital Tools Can Help Transform African Agri-Food Systems. Chicago, McKinsey & Company. Available at https://www.mckinsey.com/industries/agriculture/our-insights/how-digital-tools-can-help-transform-african-agri-food-systems#/
  32. Gouvea R., Kapelianis D., Li S., Terra B. (2022): Innovation, ICT & food security. Global Food Security, 35: 100653. Go to original source...
  33. GSMA (2025): The Mobile Economy Africa 2025. London, GSMA. Available at https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-economy/africa/ (accessed on May 22, 2024)
  34. Hudson H.E., Leclair M., Pelletier B., Sullivan B. (2017): Using radio and interactive ICTs to improve food security among smallholder farmers in sub-Saharan Africa. Telecommunications Policy, 41: 670-684. Go to original source...
  35. Hughes K., Morgan S., Baylis K., Oduol J., Smith-Dumont E., Vågen T.-G., Kegode H. (2020): Assessing the downstream socioeconomic impacts of agroforestry in Kenya. World Development, 128: 104835. Go to original source...
  36. Kaduwal S., Karki T.B., Neupane R., Battarai R.K., Chaulagain B., Ghimire P., Gyawaly P., Acharya R., Paneru P., Gyawali C. (2023): Residue management and nutrient dynamics in conservation agriculture: A review. Agronomy Journal of Nepal, 7: 139-148. Go to original source...
  37. Kassie M., Jaleta M., Shiferaw B., Mmbando F., Mekuria M. (2013): Adoption of interrelated sustainable agricultural practices in smallholder systems: Evidence from rural Tanzania. Technological Forecasting and Social Change, 80: 525-540. Go to original source...
  38. Khanna M., Atallah S.S., Kar S., Sharma B., Wu L., Yu C., Chowdhary G., Soman C., Guan K. (2022): Digital transformation for a sustainable agriculture in the united states: Opportunities and challenges. Agricultural Economics, 53: 924-937. Go to original source...
  39. Kikulwe E.M., Fischer E., Qaim M. (2014): Mobile money, smallholder farmers, and household welfare in Kenya. PloS one, 9: e109804. Go to original source... Go to PubMed...
  40. Kujawa S., Niedbała G. (2021): Artificial neural networks in agriculture. Agriculture, 11: 497. Go to original source...
  41. Lio M., Liu M.C. (2006): ICT and agricultural productivity: Evidence from cross-country data. Agricultural Economics, 34: 221-228. Go to original source...
  42. Lokshin M., Sajaia Z. (2004): Maximum likelihood estimation of endogenous switching regression models. The Stata Journal, 4: 282-289. Go to original source...
  43. Ma W., Nie P., Zhang P., Renwick A. (2020): Impact of internet use on economic well-being of rural households: Evidence from China. Review of Development Economics, 24: 503-523. Go to original source...
  44. Ma W., Zheng H., Yuan P. (2022): Impacts of cooperative membership on banana yield and risk exposure: Insights from China. Journal of Agricultural Economics, 73: 564-579. Go to original source...
  45. Mabe F.N., Nashiru S., Mummuni E., Boateng V.F. (2019): The nexus between land acquisition and household livelihoods in the northern region of Ghana. Land Use Policy, 85: 357-367. Go to original source...
  46. Mabula D., Wema E.F. (2024): The role of radio, television and mobile phones in disseminating information on occurrences of wildfire in Uluguru Mountains nature reserve - Morogoro Tanzania. Information Development: 02666669241233540. Go to original source...
  47. Malambo M., Tembo M.C., Chapoto A., Matchaya G.C., Kasoma-Pele W., Aheeyar M.M.M., Ebrahim G.Y., Ajayi O.C., Afun-Ogidan O.D., Fakudze B. (2023): Digital adaptation in agriculture profile for Zambia. Colombo, Rotterdam and Abidjan, International Water Management Institute, Global Center on Adaptation and the African Development Bank.
  48. Manda J., Alene A.D., Gardebroek C., Kassie M., Tembo G. (2016): Adoption and impacts of sustainable agricultural practices on maize yields and incomes: Evidence from rural Zambia. Journal of Agricultural Economics, 67: 130-153. Go to original source...
  49. Mtega W.P. (2018): The usage of radio and television as agricultural knowledge sources: The case of farmers in Morogoro region of Tanzania. International Journal of Education and Development using Information and Communication Technology, 14: 252-266.
  50. Mustafa M.A., Mabhaudhi T., Massawe F. (2021): Building a resilient and sustainable food system in a changing world - A case for climate-smart and nutrient dense crops. Global Food Security, 28: 100477. Go to original source... Go to PubMed...
  51. Mwalupaso G.E., Korotoumou M., Eshetie A.M., Alavo J.-P.E., Xu T. (2019a): Recuperating dynamism in agriculture through adoption of sustainable agricultural technology - Implications for cleaner production. Journal of Cleaner Production, 232: 639-647. Go to original source...
  52. Mwalupaso G.E., Wang S., Rahman S., Alavo E.J.-P., Tian X. (2019b): Agricultural informatisation and technical efficiency in maize production in Zambia. Sustainability, 11: 2451. Go to original source...
  53. Mwalupaso G.E., Wang S., Xu Z., Tian X. (2019c): Towards auspicious agricultural informatisation - Implication of farmers' behavioral intention apropos of mobile phone use in agriculture. Sustainability, 11: 6282. Go to original source...
  54. Nakasone E., Torero M. (2016): A text message away: ICTs as a tool to improve food security. Agricultural Economics, 47: 49-59. Go to original source...
  55. Noltze M., Schwarze S., Qaim M. (2013): Impacts of natural resource management technologies on agricultural yield and household income: The system of rice intensification in Timor Leste. Ecological Economics, 85: 59-68. Go to original source...
  56. Norton G.W., Alwang J. (2020): Changes in agricultural extension and implications for farmer adoption of new practices. Applied Economic Perspectives and Policy, 42: 8-20. Go to original source...
  57. Ortiz-Crespo B., Steinke J., Quirós C.F., van de Gevel J., Daudi H., Gaspar Mgimiloko M., van Etten J. (2021): User-centred design of a digital advisory service: Enhancing public agricultural extension for sustainable intensification in Tanzania. International Journal of Agricultural Sustainability, 19: 566-582. Go to original source...
  58. Parlasca M.C., Johnen C., Qaim M. (2022): Use of mobile financial services among farmers in Africa: Insights from Kenya. Global Food Security, 32: 100590. Go to original source...
  59. Quarshie P.T., Abdulai A.-R., Duncan E., KC K.B., Roth R., Sneyd A., Fraser E.D. (2023): Myth or reality? The digitalization of climate-smart agriculture (DCSA) practices in smallholding agriculture in the Bono East Region of Ghana. Climate Risk Management, 42: 100553. Go to original source...
  60. Rastogi M., Kolur S.M., Burud A., Sadineni T., Sekhar M., Kumar R., Rajput A. (2024): Advancing water conservation techniques in agriculture for sustainable resource management: A review. Journal of Geography, Environment and Earth Science International, 28: 41-53. Go to original source...
  61. Sahoo M., Dey S., Sahoo S., Das A., Ray A., Nayak S., Subudhi E. (2023): MLP (multi-layer perceptron) and RBF (radial basis function) neural network approach for estimating and optimizing 6-gingerol content in Zingiber officinale Rosc. in different agro-climatic conditions. Industrial Crops and Products, 198: 116658. Go to original source...
  62. Sarvade S., Upadhyay V.B., Kumar M., Imran Khan M. (2019): Soil and water conservation techniques for sustainable agriculture. In: Jhariya M., Banerjee A., Meena R., Yadav D. (eds) Sustainable Agriculture, Forest and Environmental Management. Singapore, Springer: 133-188. Go to original source...
  63. Sekabira H., Qaim M. (2017): Mobile money, agricultural marketing, and off-farm income in uganda. Agricultural Economics, 48: 597-611. Go to original source...
  64. Silvestri S., Richard M., Edward B., Dharmesh G., Dannie R. (2021): Going digital in agriculture: How radio and SMS can scale-up smallholder participation in legume-based sustainable agricultural intensification practices and technologies in Tanzania. International Journal of Agricultural Sustainability, 19: 583-594. Go to original source...
  65. Tadesse G., Bahiigwa G. (2015): Mobile phones and farmers' marketing decisions in Ethiopia. World Development, 68: 296-307. Go to original source...
  66. Tambo J.A., Wünscher T. (2018): Building farmers' capacity for innovation generation: Insights from rural Ghana. Renewable Agriculture and Food Systems, 33: 116-130. Go to original source...
  67. Tian T., Li L., Wang J. (2022): The effect and mechanism of agricultural informatisation on economic development: Based on a spatial heterogeneity perspective. Sustainability, 14: 3165. Go to original source...
  68. Tossou S.H., Okou F.A.Y., Kpanou S.B.-V.K. (2020): A systematic review of policy enforcement as a catalyst for digitalizing agriculture in west and east Africa. Journal of African Development, 21: 68-95. Go to original source...
  69. Tsan M., Totapally S., Hailu M., Addom B.K. (2019): The digitalisation of African agriculture report 2018-2019. Wageningen, The Netherlands, CTA. Available at https://cgspace.cgiar.org/items/fb60e627-208f-4ae1-aba1-40bc2054e856
  70. Vatsa P., Li J., Luu P.Q., Botero-R J.C. (2023a): Internet use and consumption diversity: Evidence from rural China. Review of Development Economics, 27: 1287-1308. Go to original source...
  71. Vatsa P., Ma W., Zheng H., Li J. (2023b): Climate-smart agricultural practices for promoting sustainable agrifood production: Yield impacts and implications for food security. Food Policy, 121: 102551. Go to original source...
  72. WFP (2024): Food Security Cluster Joint Rapid Assessment Report. Rome, WFP. Available at https://reliefweb.int/report/zambia/food-security-cluster-joint-rapid-assessment-report-march-2024
  73. Yang P., Wu L., Cheng M., Fan J., Li S., Wang H., Qian L. (2023): Review on drip irrigation: Impact on crop yield, quality, and water productivity in China. Water, 15: 1733. Go to original source...
  74. Zhang Y., Wang L., Duan Y. (2016): Agricultural information dissemination using ICTs: A review and analysis of information dissemination models in China. Information Processing in Agriculture, 3: 17-29. Go to original source...
  75. Zheng H., Ma W., Li G. (2021): Learning from neighboring farmers: Does spatial dependence affect adoption of drought-tolerant wheat varieties in China? Canadian Journal of Agricultural Economics/Revue Canadienne D'Agroeconomie, 69: 519-537. Go to original source...
  76. Zheng H., Ma W. (2023): Smartphone-based information acquisition and wheat farm performance: Insights from a doubly robust IPWRA estimator. Electronic Commerce Research, 23: 633-658. Go to original source...

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