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Productive Sectors and Digital Diffusion(Adoption) in Nigeria: Empirical Evidence

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  • Nwaobi, Godwin

Abstract

As the most populous nation in Africa, Nigeria is uniquely positioned to reap the benefits of the emerging digital economy. And by accelerating access to digital technologies spurs innovation, efficiency and productivity which brings about choice and opportunities for greater growth and inclusion. Therefore, this research project shall provide evidence with respect to some aspects of inter-firm and intra-firm diffusion digital technologies in Nigeria. In other words, the proposed study intends to provide new empirical evidence with respect to the factors determining inter-firm and intra-firm diffusion of digital technologies by Nigeria productive enterprises. Furthermore, this research paper shall ascertain the extent to which patterns of digital adoption are different for domestic and foreign-owned firms. Econometrically, we propose to use a novel firm level (micro) panel data from the Nigerian manufacturing firms for the period between 2020 and 2025 as applicable.

Suggested Citation

  • Nwaobi, Godwin, 2024. "Productive Sectors and Digital Diffusion(Adoption) in Nigeria: Empirical Evidence," MPRA Paper 122392, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:122392
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    References listed on IDEAS

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    1. Alhassan Abdul-Wakeel Karakara & Evans Osabuohien, 2020. "ICT adoption, competition and innovation of informal firms in West Africa: a comparative study of Ghana and Nigeria," Journal of Enterprising Communities: People and Places in the Global Economy, Emerald Group Publishing Limited, vol. 14(3), pages 397-414, June.
    2. William D. Nordhaus, 2021. "Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 299-332, January.
    3. ., 2023. "Innovation, Digital Capitalism and Productivity Growth," Chapters, in: Capitalism, Inclusive Growth, and Social Protection, chapter 7, pages 229-258, Edward Elgar Publishing.
    4. Norman J. IRELAND & Paul L. STONEMAN, 1985. "Order Effects, Perfect Foresight and Intertemporal Price Discrimination," Discussion Papers (REL - Recherches Economiques de Louvain) 1985012, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. Jennifer F. Reinganum, 1981. "On the Diffusion of New Technology: A Game Theoretic Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(3), pages 395-405.
    6. Daron Acemoglu & Pascual Restrepo, 2022. "Tasks, Automation, and the Rise in U.S. Wage Inequality," Econometrica, Econometric Society, vol. 90(5), pages 1973-2016, September.
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    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D20 - Microeconomics - - Production and Organizations - - - General
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L0 - Industrial Organization - - General
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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