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Off-grid households’ preferences for electricity services: Policy implications for mini-grid deployment in rural Tanzania

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  • Wen, Cheng
  • Lovett, Jon C.
  • Kwayu, Emmanuel J.
  • Msigwa, Consalva

Abstract

Mini-grids play a critical role in providing electricity to remote, off-grid communities in Sub-Saharan Africa. However, success of mini-grid projects can be hindered by poor cash flows and limited revenue returns. A clear understanding of off-grid households’ preferences for electricity services is a prerequisite for mini-grid stakeholders to set tariff structures and stimulate income-generating power demand to scale up mini-grid deployment. This study conducted a choice experiment survey in two off-grid villages targeted by new mini-grid projects in Tanzania to reveal heterogeneity in households’ preferences for multiple electricity service attributes. We found that households’ heterogeneous preferences were significantly associated with demographic (e.g. gender), socioeconomic (e.g. ownership of TV), and energy-related behavioural characteristics (e.g. charging devices away from home). We suggest that service-based, tiered tariffs and business models can be designed to cater for the heterogenous demands and preferences of different segments of customers. Successful deployment of mini-grids needs to consider the competition from the existing solar home systems and focus on the provision of higher tiers of electricity services. Gender equality issues should be addressed in rural electrification efforts given the significantly greater vulnerability of female-led households to higher electricity fees.

Suggested Citation

  • Wen, Cheng & Lovett, Jon C. & Kwayu, Emmanuel J. & Msigwa, Consalva, 2023. "Off-grid households’ preferences for electricity services: Policy implications for mini-grid deployment in rural Tanzania," Energy Policy, Elsevier, vol. 172(C).
  • Handle: RePEc:eee:enepol:v:172:y:2023:i:c:s0301421522005237
    DOI: 10.1016/j.enpol.2022.113304
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    as
    1. Alastaire S na ALINSATO, 2015. "Economic Valuation of Electrical Service Reliability for Households in Developing Country: A Censored Random Coefficient Model Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 352-359.
    2. Abdullah, Sabah & Mariel, Petr, 2010. "Choice experiment study on the willingness to pay to improve electricity services," Energy Policy, Elsevier, vol. 38(8), pages 4570-4581, August.
    3. Aweke, Abinet Tilahun & Navrud, Ståle, 2022. "Valuing energy poverty costs: Household welfare loss from electricity blackouts in developing countries," Energy Economics, Elsevier, vol. 109(C).
    4. Taale, Francis & Kyeremeh, Christian, 2016. "Households׳ willingness to pay for reliable electricity services in Ghana," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 280-288.
    5. Aizaki, Hideo, 2012. "Basic Functions for Supporting an Implementation of Choice Experiments in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(c02).
    6. Nkosi, Nomsa Phindile & Dikgang, Johane, 2018. "Pricing electricity blackouts among South African households," Journal of Commodity Markets, Elsevier, vol. 11(C), pages 37-47.
    7. Meles, Tensay Hadush & Mekonnen, Alemu & Beyene, Abebe D. & Hassen, Sied & Pattanayak, Subhrendu K. & Sebsibie, Samuel & Klug, Thomas & Jeuland, Marc, 2021. "Households' valuation of power outages in major cities of Ethiopia: An application of stated preference methods," Energy Economics, Elsevier, vol. 102(C).
    8. Musiliu O. Oseni, 2017. "Self-Generation and Households' Willingness to Pay for Reliable Electricity Service in Nigeria," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    9. Meles, Tensay Hadush, 2020. "Impact of power outages on households in developing countries: Evidence from Ethiopia," Energy Economics, Elsevier, vol. 91(C).
    10. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    11. Zemo, Kahsay Haile & Kassahun, Habtamu Tilahun & Olsen, Søren Bøye, 2019. "Determinants of willingness-to-pay for attributes of power outage - An empirical discrete choice experiment addressing implications for fuel switching in developing countries," Energy, Elsevier, vol. 174(C), pages 206-215.
    12. Williams, Nathaniel J. & Jaramillo, Paulina & Taneja, Jay & Ustun, Taha Selim, 2015. "Enabling private sector investment in microgrid-based rural electrification in developing countries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1268-1281.
    13. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    14. Narayan, Nishant & Chamseddine, Ali & Vega-Garita, Victor & Qin, Zian & Popovic-Gerber, Jelena & Bauer, Pavol & Zeman, Miroslav, 2019. "Exploring the boundaries of Solar Home Systems (SHS) for off-grid electrification: Optimal SHS sizing for the multi-tier framework for household electricity access," Applied Energy, Elsevier, vol. 240(C), pages 907-917.
    15. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).
    16. Eric Ruto & Guy Garrod, 2009. "Investigating farmers' preferences for the design of agri-environment schemes: a choice experiment approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 52(5), pages 631-647.
    17. Amoah, Anthony & Ferrini, Silvia & Schaafsma, Marije, 2019. "Electricity outages in Ghana: Are contingent valuation estimates valid?," Energy Policy, Elsevier, vol. 135(C).
    18. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    19. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    20. Subhes C. Bhattacharyya, 2018. "Mini-Grids for the Base of the Pyramid Market: A Critical Review," Energies, MDPI, vol. 11(4), pages 1-21, April.
    21. Bukari, Dramani & Kemausuor, Francis & Quansah, David A. & Adaramola, Muyiwa S., 2021. "Towards accelerating the deployment of decentralised renewable energy mini-grids in Ghana: Review and analysis of barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    22. Nishant Narayan & Ali Chamseddine & Victor Vega-Garita & Zian Qin & Jelena Popovic-Gerber & Pavol Bauer & Miroslav Zeman, 2019. "Quantifying the Benefits of a Solar Home System-Based DC Microgrid for Rural Electrification," Energies, MDPI, vol. 12(5), pages 1-22, March.
    23. Aziz, Shakila & Chowdhury, Shahriar Ahmed, 2021. "Determinants of off-grid electrification choice and expenditure: Evidence from Bangladesh," Energy, Elsevier, vol. 219(C).
    24. Bernard Tenenbaum & Chris Greacen & Tilak Siyambalapitiya & James Knuckles, 2014. "From the Bottom Up : How Small Power Producers and Mini-Grids Can Deliver Electrification and Renewable Energy in Africa [Quand la lumière vient d'en bas : Comment les petits producteurs d'électric," World Bank Publications - Books, The World Bank Group, number 16571, December.
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