IDEAS home Printed from https://ideas.repec.org/p/ctw/wpaper/201703.html
   My bibliography  Save this paper

Correlates of ICTS and employment in Sub-Saharan Africa

Author

Listed:
  • Safia Khan
  • Kezia Lilenstein
  • Morne Oosthuizen
  • Christopher Rooney

    (University of Cape Town
    Researcher)

Abstract

The potential for Information and Communications Technologies (ICTs) to influence development have been widely documented, however the impact of ICTs on the employment prospects of those in SSA have been poorly recorded, with most studies focused on specific localised contexts. This paper models the impact of ICTs on the employment outcomes of individuals in 12 African countries, taking into account the varying nature of self-employment compared to other types of third party employment. The paper finds a correlation between mobile phone ownership, the intensity of mobile phone use, and employment in a selection of countries and contexts. Internet use in 2012 is largely unrelated to the employment outcome in these countries. The impact of ICT use differs by geolocation, sex and age. Older people, most likely with more established prior networks, are more likely to have ICTs impact their employment outcome. ICTs are more likely to influence the employment outcome of males, and those in urban areas.

Suggested Citation

  • Safia Khan & Kezia Lilenstein & Morne Oosthuizen & Christopher Rooney, 2017. "Correlates of ICTS and employment in Sub-Saharan Africa," Working Papers 201703, University of Cape Town, Development Policy Research Unit.
  • Handle: RePEc:ctw:wpaper:201703
    as

    Download full text from publisher

    File URL: https://commerce.uct.ac.za/sites/default/files/content_migration/commerce_uct_ac_za/1093/files/DPRU%2520WP201703.pdf
    File Function: First version, 2017
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Jensen, 2007. "The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 879-924.
    2. Jenny Aker, 2008. "Does Digital Divide or Provide? The Impact of Cell Phones on Grain Markets in Niger," Working Papers 154, Center for Global Development.
    3. World Bank, 2015. "World Development Indicators 2015," World Bank Publications - Books, The World Bank Group, number 21634.
    4. Jenny C. Aker & Isaac M. Mbiti, 2010. "Mobile Phones and Economic Development in Africa," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 207-232, Summer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fennell, Shailaja & Kaur, Prabhjot & Jhunjhunwala, Ashok & Narayanan, Deapika & Loyola, Charles & Bedi, Jaskiran & Singh, Yaadveer, 2018. "Examining linkages between Smart Villages and Smart Cities: Learning from rural youth accessing the internet in India," Telecommunications Policy, Elsevier, vol. 42(10), pages 810-823.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ags:mididp:152396 is not listed on IDEAS
    2. Mittal, Surabhi, 2012. "Modern ICT for Agricultural Development and Risk Management in Smallholder Agriculture in India," Socioeconomics Program Working Papers 147107, CIMMYT: International Maize and Wheat Improvement Center.
    3. Chris Parker & Kamalini Ramdas & Nicos Savva, 2016. "Is IT Enough? Evidence from a Natural Experiment in India’s Agriculture Markets," Management Science, INFORMS, vol. 62(9), pages 2481-2503, September.
    4. Hübler, Michael & Hartje, Rebecca, 2016. "Are smartphones smart for economic development?," Economics Letters, Elsevier, vol. 141(C), pages 130-133.
    5. Mothobi, Onkokame & Grzybowski, Lukasz, 2017. "Infrastructure deficiencies and adoption of mobile money in Sub-Saharan Africa," Information Economics and Policy, Elsevier, vol. 40(C), pages 71-79.
    6. Abreha,Kaleb Girma & Choi,Jieun & Kassa,Woubet & Kim,Hyun Ju & Kugler,Maurice David, 2021. "Mobile Access Expansion and Price Information Diffusion : Firm Performance after Ethiopia’s Transition to 3G in 2008," Policy Research Working Paper Series 9752, The World Bank.
    7. Riccardo Ciacci & Jorge García-Hombrados & Ayesha Zainudeen, 2020. "Mobile phone network and migration: evidence from Myanmar," MPIDR Working Papers WP-2020-016, Max Planck Institute for Demographic Research, Rostock, Germany.
    8. Staatz, John M. & Kizito, Andrew M. & Weber, Michael T. & Dembele, Niama Nango, 2011. "Evaluating the Impact on Market Performance of Investments in Market Information Systems: Methodological Challenges," Staff Paper Series 108184, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    9. Blumenstock, Joshua E. & Eagle, Nathan & Fafchamps, Marcel, 2016. "Airtime transfers and mobile communications: Evidence in the aftermath of natural disasters," Journal of Development Economics, Elsevier, vol. 120(C), pages 157-181.
    10. Richard A. Duncombe, 2014. "Understanding the Impact of Mobile Phones on Livelihoods in Developing Countries," Development Policy Review, Overseas Development Institute, vol. 32(5), pages 567-588, September.
    11. Enoch M Kikulwe & Elisabeth Fischer & Matin Qaim, 2014. "Mobile Money, Smallholder Farmers, and Household Welfare in Kenya," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-13, October.
    12. Hübler, Michael, 2016. "Does Migration Support Technology Diffusion in Developing Countries?," World Development, Elsevier, vol. 83(C), pages 148-162.
    13. Gershom Endelani Mwalupaso & Shangao Wang & Zhangxing Xu & Xu Tian, 2019. "Towards Auspicious Agricultural Informatization—Implication of Farmers’ Behavioral Intention Apropos of Mobile Phone Use in Agriculture," Sustainability, MDPI, vol. 11(22), pages 1-21, November.
    14. Kizito, Andrew M. & Donovan, Cynthia & Staatz, John M., 2012. "Impact of Agricultural Market Information Systems Activities on Market Performance in Mozambique: Mozambique Country Report," Food Security International Development Working Papers 169572, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    15. Kikulwe, Enoch M. & Fischer, Elisabeth & Qaim, Matin, 2013. "Mobile money, market transactions, and household income in rural Kenya," GlobalFood Discussion Papers 155847, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    16. Adekunle Oluwole BINUYO, 2015. "ICT Adoption and Economic Growth Nexus: Evidence from Leading African Economies," Journal of Economics and Behavioral Studies, AMH International, vol. 7(5), pages 43-54.
    17. Abdul-Salam, Yakubu & Phimister, Euan, 2019. "Modelling the impact of market imperfections on farm household investment in stand-alone solar PV systems," World Development, Elsevier, vol. 116(C), pages 66-76.
    18. Marco Manacorda & Andrea Tesei, 2020. "Liberation Technology: Mobile Phones and Political Mobilization in Africa," Econometrica, Econometric Society, vol. 88(2), pages 533-567, March.
    19. Muto, Megumi & Yamano, Takashi, 2009. "The Impact of Mobile Phone Coverage Expansion on Market Participation: Panel Data Evidence from Uganda," World Development, Elsevier, vol. 37(12), pages 1887-1896, December.
    20. Sarin, Ankur & Jain, Rekha, 2009. "Effect of Mobiles on Socio-economic Life of Urban Poor," IIMA Working Papers WP2009-02-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    21. 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.

    More about this item

    Keywords

    ICTs; Mobile Phones; Intensity of Mobile Use; Internet; Employment; Self Employment; Rural; Urban;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • N77 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Africa; Oceania
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ctw:wpaper:201703. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Waseema Petersen (email available below). General contact details of provider: https://edirc.repec.org/data/dpuctza.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.