IDEAS home Printed from https://ideas.repec.org/a/ris/ilojep/0071.html
   My bibliography  Save this article

Solar Powered Tricycles In Maiduguri: Exploring Sustainable Urban Mobility Through Contingent Valuation Method

Author

Listed:

Abstract

In the quest to enhance sustainable urban transportation systems, this research explores tricycle owners' willingness to invest in solar-powered motorised tricycles (SPT) within Maiduguri Metropolis. Through a comprehensive examination of willingness to pay (WTP) determinants, including economic, demographic, and contextual factors, this study sheds light on the intricate dynamics that shape tricycle operators' attitudes toward cleaner and more sustainable mobility alternatives. This study employed primary data collection techniques, utilising a questionnaire aligned with the research objectives to gather information. The focus was on all tricycle owners in Maiduguri Metropolis, Borno State, selected through simple random sampling. To establish an adequate sample size conducive to obtaining a willingness-to-pay value close to the true value, the formula advocated by Mitchel and Carson (1989) was applied which led to a sample size of 385. The bidding game method was based on the contingent valuation method. Socioeconomic attributes of tricycle owners were extracted using descriptive statistics, encompassing frequency distribution, percentage, and mean. Alongside, the Probit model was employed to evaluate the economic value associated with willingness to pay for SPT and analyse the influencing factors. The findings revealed the diverse economic landscape within the tricycle business, with a significant proportion of operators, approximately 47.2 per cent, earning daily incomes between N2000 and N4000, paralleled by 55.5 per cent having monthly incomes in the N100,000 to N299,000 range. When fuel is scarce, 66.1 per cent of tricycle owners buy fuel for N500 to N700 per litre compared to the N198 official price rate, indicating financial struggles during fuel price fluctuations. The results revealed that gender, age, and affiliation were identified as influential factors that determined the willingness to pay. The findings also revealed that tricycle owners were willing to pay N1,689,557 to reflect a substantial commitment to eco-friendly urban transport. This study recommends that Municipal authorities consider formulating and implementing policies that incentivise the adoption of solar-powered tricycles.

Suggested Citation

  • Ahmadu Tsala, Abbas & Usman Adam, Shehu & Ibrahim Shittu, Abdullahi & AbubakarAdo, Habib & Umar Ibrahim, Abubakar, 2023. "Solar Powered Tricycles In Maiduguri: Exploring Sustainable Urban Mobility Through Contingent Valuation Method," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 10(2), pages 16-31, June.
    • Handle: RePEc:ris:ilojep:0071
    as

    Download full text from publisher

    File URL: https://www.ijep.org/issues/volume10issue102023/v2/Abbas2023_26_11_2023.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Loomis, 2011. "What'S To Know About Hypothetical Bias In Stated Preference Valuation Studies?," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 363-370, April.
    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. Pamela Wicker & John C. Whitehead & Bruce K. Johnson & Daniel S. Mason, 2016. "Willingness-To-Pay For Sporting Success Of Football Bundesliga Teams," Contemporary Economic Policy, Western Economic Association International, vol. 34(3), pages 446-462, July.
    2. Datta, Nikhil, 2019. "Willing to pay for security: a discrete choice experiment to analyse labour supply preferences," LSE Research Online Documents on Economics 103390, London School of Economics and Political Science, LSE Library.
    3. Brad R. Humphreys & Bruce K. Johnson & Daniel S. Mason & John C. Whitehead, 2011. "Estimating the Value of Medal Success at the 2010 Winter Olympic Games," Working Papers 11-20, Department of Economics, Appalachian State University.
    4. Pengfei Liu & Lingling Hou & Dongqing Li & Shi Min & Yueying Mu, 2021. "Determinants of Livestock Insurance Demand: Experimental Evidence from Chinese Herders," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 430-451, June.
    5. Laia Soler & Nicolas Borzykowski, 2021. "The costs of celiac disease: a contingent valuation in Switzerland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1487-1505, December.
    6. Ana I. Sanjuán‐López & Helena Resano‐Ezcaray, 2020. "Labels for a Local Food Speciality Product: The Case of Saffron," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 778-797, September.
    7. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    8. Bruce K. Johnson & John C. Whitehead & Daniel S. Mason & Gordon J. Walker, 2012. "Willingness to Pay for Downtown Public Goods Generated by Large, Sports-Anchored Development Projects: The CVM Approach," Working Papers 12-01, Department of Economics, Appalachian State University.
    9. Katherine Farrow & Gilles Grolleau & Lisette Ibanez, 2022. "Does misery love company? An experimental investigation [How much do we care about absolute versus relative income and consumption?]," Oxford Economic Papers, Oxford University Press, vol. 74(2), pages 523-540.
    10. Luchini, Stéphane & Watson, Verity, 2013. "Uncertainty and framing in a valuation task," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 204-214.
    11. Bösch, Matthias & Elsasser, Peter & Rock, Joachim & Rüter, Sebastian & Weimar, Holger & Dieter, Matthias, 2017. "Costs and carbon sequestration potential of alternative forest management measures in Germany," Forest Policy and Economics, Elsevier, vol. 78(C), pages 88-97.
    12. Krčál, Ondřej & Peer, Stefanie & Staněk, Rostislav, 2021. "Can time-inconsistent preferences explain hypothetical biases?," Economics of Transportation, Elsevier, vol. 25(C).
    13. Hofstetter, Reto & Miller, Klaus M. & Krohmer, Harley & Zhang, Z. John, 2021. "A de-biased direct question approach to measuring consumers' willingness to pay," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 70-84.
    14. Amoah, Anthony & Ferrini, Silvia & Schaafsma, Marije, 2019. "Electricity outages in Ghana: Are contingent valuation estimates valid?," Energy Policy, Elsevier, vol. 135(C).
    15. Brad R. Humphreys & Bruce K. Johnson & John C. Whitehead, 2020. "Validity and reliability of contingent valuation and life satisfaction measures of welfare: An application to the value of national Olympic success," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 316-330, July.
    16. Sheillah Simiyu & Mark Swilling & Richard Rheingans & Sandy Cairncross, 2017. "Estimating the Cost and Payment for Sanitation in the Informal Settlements of Kisumu, Kenya: A Cross Sectional Study," IJERPH, MDPI, vol. 14(1), pages 1-16, January.
    17. Romain Espinosa & Nicolas Treich, 2023. "Eliciting Non-hypothetical Willingness-to-pay for Novel Products: An Application to Cultured Meat," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(3), pages 673-706, August.
    18. Schaafsma, M. & van Beukering, P.J.H. & Oskolokaite, I., 2017. "Combining focus group discussions and choice experiments for economic valuation of peatland restoration: A case study in Central Kalimantan, Indonesia," Ecosystem Services, Elsevier, vol. 27(PA), pages 150-160.
    19. Daniel A. Brent & Lata Gangadharan & Anke D. Leroux & Paul A. Raschky, 2022. "Reducing bias in preference elicitation for environmental public goods," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 280-308, April.
    20. Poudel, Niranjan & Singleton, Patrick A., 2024. "Willingness to pay for changes in travel time and work time: A stated choice experiment of US commuters," Research in Transportation Economics, Elsevier, vol. 103(C).

    More about this item

    Keywords

    Solar-Powered Tricycle; Urban Transport; Contingent Valuation Method; Willingness to Pay;
    All these keywords.

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

    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:0071. 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.