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ICT and Agricultural Development in South Africa: An Auto-Regressive Distributed Lag Approach

Author

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  • Simion Matsvai

    (Department of Business Management and Economics—Small-Scale Agribusiness and Rural Non-Farm Enterprise Research Niche, Faculty of Economic and Financial Sciences, Walter Sisulu University, Private Bag X1, Mthatha 5117, South Africa)

  • Yiseyon Sunday Hosu

    (Department of Business Management and Economics—Small-Scale Agribusiness and Rural Non-Farm Enterprise Research Niche, Faculty of Economic and Financial Sciences, Walter Sisulu University, Private Bag X1, Mthatha 5117, South Africa)

Abstract

The use of Information Communication Technology (ICT) forms a significant component of the Fourth Industrial Revolution (4IR). This study examined the impact of ICT on agricultural development in South Africa utilizing time series data from 1995 to 2022. Agricultural development was measured through agricultural output and agriculture total factor productivity as dependent variables. Traditional factors of production (land, labor, and capital) together with ICT variables (mobile cellphone subscriptions, Internet usage, and fixed telephone subscriptions) were used. Additional variables such as inflation, human development, access to energy and climate change were used. Data analysis was performed using the ARDL approach. The findings revealed that mobile phone subscriptions and Internet usage positively affect agricultural output and ATFP in the short and long run despite having a negative effect through the second lag in the short run. Fixed telephone subscriptions negatively affect ATFP in the long run while affecting output negatively in the short run through the first lag. Land, human development index, access to energy, and capital generally exhibited an increasing effect on both agricultural output and ATFP both in the short and long run through the various models estimated. Climate change and inflation were generally found to affect both agricultural output and ATFP negatively in the short and long run. The study concluded that ICT plays a significant role in promoting agricultural output and total factor productivity growth. Recommendations included that the South African government should promote the digitalization of the agriculture sector through the provision of ICT infrastructure that can be utilized by both smallholder farmers and large-scale agricultural producers.

Suggested Citation

  • Simion Matsvai & Yiseyon Sunday Hosu, 2024. "ICT and Agricultural Development in South Africa: An Auto-Regressive Distributed Lag Approach," Agriculture, MDPI, vol. 14(8), pages 1-22, July.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:8:p:1253-:d:1445964
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    References listed on IDEAS

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    1. Emeka Nkoro & Aham Kelvin Uko, 2016. "Autoregressive Distributed Lag (ARDL) cointegration technique: application and interpretation," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 5(4), pages 1-3.
    2. Birthal, Pratap S. & Hazrana, Jaweriah & Negi, Digvijay S. & Bhan, Subhash C., 2021. "Climate change and land-use in Indian agriculture," Land Use Policy, Elsevier, vol. 109(C).
    3. Sinha, Avik & Sengupta, Tuhin & Alvarado, Rafael, 2020. "Interplay between Technological Innovation and Environmental Quality: Formulating the SDG Policies for Next 11 Economies," MPRA Paper 104247, University Library of Munich, Germany, revised 2020.
    4. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    5. Sekabira, Haruna & Qaim, Matin, 2017. "Can Mobile Phones Improve Gender Equality and Nutrition? Panel Data Evidence from Farm Households in Uganda," GlobalFood Discussion Papers 256215, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    6. Ghouse, Ghulam & Khan, Saud Ahmed & Rehman, Atiq Ur, 2018. "ARDL model as a remedy for spurious regression: problems, performance and prospectus," MPRA Paper 83973, University Library of Munich, Germany.
    7. Hudson, Heather E. & Leclair, Mark & Pelletier, Bernard & Sullivan, Bartholomew, 2017. "Using radio and interactive ICTs to improve food security among smallholder farmers in Sub-Saharan Africa," Telecommunications Policy, Elsevier, vol. 41(7), pages 670-684.
    8. Suresh, Kanesh & Khanal, Uttam & Wilson, Clevo & Managi, Shunsuke & Quayle, Annette & Santhirakumar, Samithamby, 2021. "An economic analysis of agricultural adaptation to climate change impacts in Sri Lanka: An endogenous switching regression analysis," Land Use Policy, Elsevier, vol. 109(C).
    9. Sekabira, Haruna & Qaim, Matin, 2017. "Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda," Food Policy, Elsevier, vol. 73(C), pages 95-103.
    10. Hoang, Hung Gia, 2020. "Determinants of the adoption of mobile phones for fruit marketing by Vietnamese farmers," World Development Perspectives, Elsevier, vol. 17(C).
    11. Raéf Bahrini & Alaa A. Qaffas, 2019. "Impact of Information and Communication Technology on Economic Growth: Evidence from Developing Countries," Economies, MDPI, vol. 7(1), pages 1-13, March.
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