Digital Agriculture: Mobile Phones, Internet & Agricultural Development in Africa

This study examines the non-linear relationship between mobile phones, internet and agricultural development in Africa for the period 2001–2015 using system generalized method of moments. The empirical results show a non-linear relationship between mobile phones, internet and agricultural development. Mobile penetration and squared mobile penetration have significant positive effects on agricultural value added, implying that mobile penetration has an increasing effect on agricultural value added. In contrast, internet usage has significant negative effects on agricultural value added, but squared internet usage has significant positive effects. This suggests a U-shaped pattern and a quadratic relationship: as internet usage increases, agricultural value added decreases, but after a certain level of internet usage which is the turning point, agricultural value added starts to increase. The causality analysis suggests the existence of uni-directional causality from mobile penetration and internet usage to agricultural value added. However, there is bi-directional causality between squared mobile penetration, squared internet usage and agricultural value added. This indicates that mobile phones and internet stimulate agricultural development which, in turn, boosts mobile penetration and internet usage even further in these countries. The results therefore provide evidence that mobile phones and internet play significant roles in agricultural development, as agricultural development also plays important roles in the expansion of mobile phones and internet.

[1]  Information Technology for Agriculture and Rural Development in Africa: Experiences from Kenya , 2012 .

[2]  M. Qaim,et al.  Can Mobile Phones Improve Gender Equality and Nutrition? Panel Data Evidence from Farm Households in Uganda , 2017 .

[3]  Aroop K. Mahanty,et al.  THEORY OF PRODUCTION , 1980 .

[4]  A. Ishida,et al.  Farmers’ Satisfaction with Agricultural Extension Service and Its Influencing Factors: A Case Study in North West Ethiopia , 2016 .

[5]  D. Potnis,et al.  Factors Influencing Use of Mobile Money by Students, Small Business Owners, and Farmers In Bangladesh , 2017 .

[6]  G. Walsham Development Informatics in a Changing World: Reflections from ICTD2010/2012 , 2013 .

[7]  J. Matofari,et al.  The Role of Information and Communication Sharing Pathway in Improving Peri-Urban Dairy System of Bamako, Mali , 2018 .

[8]  J. Aker Information from Markets Near and Far: Mobile Phones and Agricultural Markets in Niger , 2010 .

[9]  Matti Tedre,et al.  Challenges facing sub‐Saharan small‐scale farmers in accessing farming information through mobile phones: A systematic literature review , 2018, Electron. J. Inf. Syst. Dev. Ctries..

[10]  Edda Tandi Lwoga,et al.  Bridging the Agricultural Knowledge and Information Divide: The Case of Selected Telecenters and Rural Radio in Tanzania , 2010, Electron. J. Inf. Syst. Dev. Ctries..

[11]  A. Bhavnani,et al.  The role of mobile phones in sustainable rural poverty reduction , 2008 .

[12]  Maged Ali,et al.  Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach , 2016, Inf. Technol. People.

[13]  Jason Schuster,et al.  Big Data Ethics and the Digital Age of Agriculture , 2017 .

[14]  R. Blundell,et al.  Initial Conditions and Moment Restrictions in Dynamic Panel Data Models , 1998 .

[15]  Vikas Kumar,et al.  Mobile phone adoption in agri-food sector: Are farmers in Sub-Saharan Africa connected? , 2017, Technological Forecasting and Social Change.

[16]  Jenny C. Aker,et al.  Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger , 2016 .

[17]  Damaris Odero,et al.  Towards Improving Agricultural Marketing Information Systems for Smallholder Farmers: A Tharaka Nithi Case , 2018 .

[18]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[19]  In Lee,et al.  The Internet of Things (IoT): Applications, investments, and challenges for enterprises , 2015 .

[20]  D. Mekonnen,et al.  The Importance of ICTs in the Provision of Information for Improving Agricultural Productivity and Rural Incomes in Africa , 2012 .

[21]  M. Arellano,et al.  Another look at the instrumental variable estimation of error-components models , 1995 .

[22]  R. Duncombe Mobile Phones for Agricultural and Rural Development: A Literature Review and Suggestions for Future Research , 2015, The European Journal of Development Research.

[23]  Carlos Montes,et al.  Biophysical and sociocultural factors underlying spatial trade-offs of ecosystem services in semiarid watersheds , 2015 .

[24]  Uwe Deichmann,et al.  A Tale of Two Surplus Countries: China and Germany , 2016 .

[25]  G. Tadesse,et al.  Mobile Phones and Farmers’ Marketing Decisions in Ethiopia , 2015 .

[26]  M. Kumaran,et al.  Information Seeking Behaviour of Shrimp Farmers and their Perception towards Technology Dissemination through Mobile Phones , 2017 .

[27]  Josephat Kalezhi,et al.  The internet of things in agriculture for sustainable rural development , 2015, 2015 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC).

[28]  Bjørn Furuholt,et al.  The Developmental Contribution From Mobile Phones Across the Agricultural Value Chain in Rural Africa , 2011 .

[29]  Jacinta C. Nwachukwu,et al.  The Role of Governance in Mobile Phones for Inclusive Human Development in Sub-Saharan Africa , 2016 .

[30]  Jawahitha Sarabdeen,et al.  Investigating Emirati citizens' adoption of e-government services in Abu Dhabi using modified UTAUT model , 2018, Inf. Technol. People.

[31]  N. Biekpe,et al.  Information Asymmetry and Market Power in the African Banking Industry , 2016 .

[32]  J. Turner,et al.  Priorities for science to overcome hurdles thwarting the full promise of the ‘digital agriculture’ revolution , 2018, Journal of the science of food and agriculture.