IDEAS home Printed from https://ideas.repec.org/a/ags/afjecr/339654.html

The Changing Employment Landscape in Uganda

Author

Listed:
  • Ssebulime, Kurayish
  • Okumu, Ibrahim Mike
  • Bbaale, Edward

Abstract

The employment landscape in Uganda and across the globe has continued to change at an unprecedented rate. This has mostly manifested in employment shifts within and between sectors. A large share of Labour force has shifted towards the service sub-sectors with a corresponding shift away from agriculture and other goods-producing sectors. Employment intensities of growth were estimated in this study to ascertain whether employment shifts have occurred in Uganda and also establish the causes of the variations using multivariate regression and autoregressive distributed lag modelling. The study established that there is no evidence of sectoral employment shifts in Uganda. The agriculture sector has the least employment intensity of growth followed by the industry and the service sectors. Trade and repairs, arts, entertainment & recreation, cash crop, food crop, construction, and manufacturing have the highest employment intensity of growth.

Suggested Citation

  • Ssebulime, Kurayish & Okumu, Ibrahim Mike & Bbaale, Edward, 2023. "The Changing Employment Landscape in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 11(4), September.
    • Handle: RePEc:ags:afjecr:339654
    DOI: 10.22004/ag.econ.339654
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/339654/files/Ssebulime.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.339654?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ivo De Loo, 2000. "The Applicability of the Sectoral Shift Hypothesis in the Netherlands," Journal of Applied Economics, Universidad del CEMA, vol. 3, pages 57-69, May.
    2. Heather Anderson & Giovanni Caggiano & Farshid Vahid & Benjamin Wong, 2020. "Sectoral Employment Dynamics in Australia," CAMA Working Papers 2020-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Valeria CIRILLO, 2018. "Job polarization in European industries," International Labour Review, International Labour Organization, vol. 157(1), pages 39-63, March.
    4. Monia Ghazali and Rim Mouelhi, 2018. "The Employment Intensity of Growth: Evidence from Tunisia," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 43(3), pages 85-118, September.
    5. Cörvers, Frank & Dupuy, Arnaud, 2010. "Estimating employment dynamics across occupations and sectors of industry," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 17-27, March.
    6. Heather Anderson & Giovanni Caggiano & Farshid Vahid & Benjamin Wong, 2020. "Sectoral Employment Dynamics in Australia and the COVID‐19 Pandemic," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 53(3), pages 402-414, September.
    7. Maritta Soininen, 2014. "The Problem of Mismatch in Successful Cross-Sectoral Collaboration," Politics and Governance, Cogitatio Press, vol. 2(2), pages 43-56.
    8. Ivo de Loo, 2000. "The Applicability of the Sectoral Shift Hypothesis in the Netherlands," Journal of Applied Economics, Taylor & Francis Journals, vol. 3(1), pages 57-69, May.
    9. Rafa Madariaga, 2018. "Factors driving sectoral and occupational employment changes during the Spanish boom (1995–2005)," Economic Systems Research, Taylor & Francis Journals, vol. 30(3), pages 400-421, July.
    10. Dosi, G. & Piva, M. & Virgillito, M.E. & Vivarelli, M., 2021. "Embodied and disembodied technological change: The sectoral patterns of job-creation and job-destruction," Research Policy, Elsevier, vol. 50(4).
    11. Falguni Pattanaik & Narayan Chandra Nayak, 2014. "Macroeconomic Determinants of Employment Intensity of Growth in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 8(2), pages 137-154, May.
    Full references (including those not matched with items on IDEAS)

    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. Mindaugas Butkus & Laura Dargenyte-Kacilevièiene & Kristina Matuzevièiute & Janina Šeputiene & Dovile Rupliene, 2023. "Age- and Gender-specific Output-employment Relationship across Economic Sectors," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 71(1), pages 3-22, January.
    2. Emanuele Giovannetti & Claudio Piga, 2023. "The multifaceted nature of cooperation for innovation, ICT and innovative outcomes: evidence from UK Microdata," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 639-666, September.
    3. Matteo Deleidi & Claudia Fontanari & Santiago José Gahn, 2023. "Autonomous demand and technical change: exploring the Kaldor–Verdoorn law on a global level," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(1), pages 57-80, April.
    4. Veronica Lupi & Valentina Morretta & Lorenzo Zirulia, 2024. "Earth Observation data, innovation and economic performance: a study of the downstream sector in Italy," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 14(1), pages 103-136, March.
    5. Armanda Cetrulo & Giovanni Dosi & Angelo Moro & Linnea Nelli & Maria Enrica Virgillito, 2023. "Automation, digitalization and decarbonization in the European automotive industry: a roadmap towards a just transition," LEM Papers Series 2023/36, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Zhang, Linyan & Hu, Chunyu & Guo, Chuanyin & Wang, Jianguo, 2024. "Digital economy, technical change and total factor productivity: Empirical evidence from high-tech industry in China," Telecommunications Policy, Elsevier, vol. 48(9).
    7. Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Giovanni Dosi & Federico Riccio & Maria Enrica Virgillito, 2022. "Specialize or diversify? And in What? Trade composition, quality of specialization, and persistent growth [Catching up, forging ahead, and falling behind]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 301-337.
    10. Thi Thu Tra Pham & Thai Vu Hong Nguyen & Son Kien Nguyen & Hieu Thi Hoang Nguyen, 2023. "Does planned innovation promote financial access? Evidence from Vietnamese SMEs," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 281-307, June.
    11. Ugur, Mehmet, 2024. "Effects of innovation and markups on employment and labour share in OECD industries," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 221-234.
    12. Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2018. "Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms," Research Policy, Elsevier, vol. 47(9), pages 1762-1776.
    13. Luis Cardenas, 2025. "Why does Okun’s law change? Essay in econometric history," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 19(3), pages 621-659, September.
    14. Garcia-Macia, Daniel & Korosteleva, Julia, 2025. "Tracing productivity growth channels in the UK," Research Policy, Elsevier, vol. 54(1).
    15. Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "Will the AI revolution be labour-friendly? Some micro evidence from the supply side," MERIT Working Papers 2021-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    16. Sébastien Lechevalier & Malo Mofakhami, 2025. "Assessing job satisfaction in the era of digital transformation: a comparative study of the first wave of tasks digitalization in Japan and France," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(1), pages 93-129, March.
    17. Dimakopoulou, A.G. & Gkypali, A. & Tsekouras, K., 2024. "Technological and non-technological innovation synergies under the lens of absorptive capacity efficiency," Journal of Business Research, Elsevier, vol. 176(C).
    18. Ghodsi, Mahdi & Stehrer, Robert & Barišić, Antea, 2024. "Assessing the impact of new technologies on wages and labour income shares," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    19. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
    20. Lorenzo Cresti & Giovanni Dosi & Federico Riccio & Maria Enrica Virgillito, 2023. "Italy and the Trap of GVC Downgrading: Labour Dependence in the European Geography of Production," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(3), pages 869-906, November.

    More about this item

    Keywords

    ;
    ;
    ;

    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:ags:afjecr:339654. 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: AgEcon Search (email available below). General contact details of provider: https://www.ajol.info/index.php/ajer/index .

    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.