IDEAS home Printed from https://ideas.repec.org/a/ris/ilojep/0043.html
   My bibliography  Save this article

Determinants Of Earnings Among Commercial Tricycle Operators In Ilorin Metropolis, Nigeria

Author

Listed:

Abstract

In 1999, Nigerian government of Olusegun Obasanjo launched series of empowerment schemes to alleviate poverty. Among these is tricycle empowerment. Till date, tricycle is used for commercial transport in Nigeria. This study examines the determinants of earnings among commercial tricycle operators in Ilorin metropolis, Nigeria. 335 commercial tricycle operators were interviewed via structured questionnaire, using stratified-simple random sample method. 321 questionnaires were returned valid. The study covers 15 major tricycle parks in Ilorin metropolis. This study is rooted on Minority Group Theory and Human Capital Theory. It is analyzed using logistic binary logit and stepwise regression technique. The results show that ownership of tricycle, passengers-carried per day, and membership to tricycle union are core determinants of daily earnings. And that a unionist is better off than non-unionist. Operator who owns a tricycle is also better off than one who lives on a rented tricycle. The core challenges of operators are: high daily fee charges by union, high price of tricycle, seasonal demand for tricycle service in routes that link schools, and undignified approach of passengers. The study recommends that government should subsidize the cost of tricycle on monthly installments through registered tricycle unions, and that government should also regulate daily charges by unions.

Suggested Citation

  • Idowu Obakemi, Funsho, 2021. "Determinants Of Earnings Among Commercial Tricycle Operators In Ilorin Metropolis, Nigeria," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 8(1), pages 101-112, June.
    • Handle: RePEc:ris:ilojep:0043
    as

    Download full text from publisher

    File URL: https://www.ijep.org/issues/volume8issue82021/Obakemi2021.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    2. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, July.
    3. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5, July.
    4. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    5. Cervero, Robert & Golub, Aaron, 2007. "Informal transport: A global perspective," Transport Policy, Elsevier, vol. 14(6), pages 445-457, November.
    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. Hans‐Peter Y. Qvist & Anders Holm & Martin D. Munk, 2021. "Demand and Supply Effects and Returns to College Education: Evidence from a Natural Experiment with Engineers in Denmark," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(2), pages 676-704, April.
    2. Hans Heijke & Christoph Meng & Ger Ramaekers, 2003. "An investigation into the role of human capital competences and their pay‐off," International Journal of Manpower, Emerald Group Publishing Limited, vol. 24(7), pages 750-773, November.
    3. Yubilianto, 2020. "Return to education and financial value of investment in higher education in Indonesia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-28, December.
    4. Adriaan Kalwij, 2000. "Estimating the economic return to schooling on the basis of panel data," Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 61-71.
    5. Samad Sarminah, 2020. "Achieving innovative firm performance through human capital and the effect of social capital," Management & Marketing, Sciendo, vol. 15(2), pages 326-344, June.
    6. Alessa K. Durst, 2021. "Education as a Positional Good? Evidence from the German Socio-Economic Panel," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 745-767, June.
    7. Zhan Gao & M. Hashem Pesaran, 2023. "Identification and estimation of categorical random coefficient models," Empirical Economics, Springer, vol. 64(6), pages 2543-2588, June.
    8. Ferreira Sequeda, Maria & Künn, Annemarie & de Grip, Andries, 2016. "Work-related learning and skill development in Europe: Does initial skill mismatch matter?," Research Memorandum 027, Maastricht University, Graduate School of Business and Economics (GSBE).
    9. Cyprian Amutabi & Anthony Wambugu, 2020. "Determinants of labor productivity among SMEs and large‐sized private service firms in Kenya," African Development Review, African Development Bank, vol. 32(4), pages 591-604, December.
    10. Andrea Diem & Stefan C. Wolter, 2014. "Overeducation among Swiss university graduates: determinants and consequences [Nicht ausbildungsadäquate Beschäftigung bei Universitätsabsolventinnen und -absolventen – Determinanten und Konsequenz," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(4), pages 313-328, December.
    11. Doon, Roshnie, 2021. "Overeducation in Trinidad and Tobago's Labour Market: A Quantile Regression Approach," GLO Discussion Paper Series 822, Global Labor Organization (GLO).
    12. Napari, Sami, . "Essays on the Gender Wage Gap in Finland," ETLA A, The Research Institute of the Finnish Economy, number 44.
    13. Séamus McGuinness, 2006. "Overeducation in the Labour Market," Journal of Economic Surveys, Wiley Blackwell, vol. 20(3), pages 387-418, July.
    14. Suqin Ge & Hans Haller, 2018. "Job Market Signaling and Returns to Education," Southern Economic Journal, John Wiley & Sons, vol. 84(3), pages 734-741, January.
    15. Ujjaini Mukhopadhyay, 2021. "Differential Education Subsidy Policy and Wage Inequality Between Skilled, Semi-skilled and Unskilled Labour: A General Equilibrium Approach," Review of Development and Change, , vol. 26(1), pages 40-62, June.
    16. Qing Guo & Siyu Chen & Xiangquan Zeng, 2021. "Does Fintech Narrow the Gender Wage Gap? Evidence from China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(4), pages 142-166, July.
    17. Gerbrand Tholen, 2022. "Within-Occupation Forms of Positional Labour Market Advantage in Three Skilled Occupations," Sociological Research Online, , vol. 27(2), pages 273-291, June.
    18. Qifan Huang & Castiel Chen Zhuang, 2022. "Training, productivity and wages: An investigation of China's manufacturing enterprises in a privatization era," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(2), pages 269-288, April.
    19. Ryuichi Okumura & Hiroshi Deguchi, 2021. "Indicating human capital including non-economic value," Evolutionary and Institutional Economics Review, Springer, vol. 18(1), pages 45-62, April.
    20. Michelle Riboud, 2016. "Investing in Inclusive Human Development," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 8(2), pages 168-200, May.

    More about this item

    Keywords

    Earnings; Tricycle operators; Minority group theory; Stepwise regression;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:ris:ilojep:0043. 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: Daniel Akanbi (email available below). General contact details of provider: https://edirc.repec.org/data/deilong.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.