Design of Off-Grid Lighting Business Models to Serve the Poor: Field Experiments and Structural Analysis

Bhavani Shanker Uppari (), Serguei Netessine (), Ioana Popescu () and Rowan P. Clarke ()
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Bhavani Shanker Uppari: Singapore Management University, 178899 Singapore
Serguei Netessine: The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104
Ioana Popescu: INSEAD, 138676 Singapore
Rowan P. Clarke: Harvard Business School, Harvard University, Boston, Massachusetts 02163

Management Science, 2024, vol. 70, issue 5, 3038-3058

Abstract: A significant proportion of the world’s population has no access to grid-based electricity and so relies on off-grid lighting solutions. Rechargeable lamp technology is gaining popularity as an alternative off-grid lighting model in developing countries. In this paper, we explore consumer behavior and the operational inefficiencies that result under this model. Specifically, we are interested in (i) measuring the impact of inconvenience (of traveling to recharge the lamp) along with the impact of liquidity constraints (because of poverty) on lamp usage and (ii) evaluating the efficacy of strategies that address these factors. We build a structural model of consumers’ recharge decisions that incorporates several operational features of the low-income regions. We conducted large-scale field experiments in Rwanda in partnership with a local rechargeable lamp operator and use the resultant data to estimate and test our model. We find that the complete removal of inconvenience and liquidity constraints from the current business model results in 73% and 126% increases in both recharges and revenue, thereby suggesting that these constraints are major sources of inefficiency. By implementing simple operations-based strategies—such as starting more recharge centers, visiting consumers periodically to collect their lamps for recharge, and allowing consumers to partially recharge their lamps and pay flexibly for the recharge—more than half the benefit of completely eliminating the inefficiencies can be attained. By contrast, the price- and capacity-based strategies that vary the economic variables (i.e., the amount paid per recharge and the amount of light obtained in return) but not the operational model perform far worse than the aforementioned strategies. Overall, our analysis emphasizes the importance of managing operations effectively even in markets with cash-constrained consumers, in which firms may have a natural tendency to focus more on reducing prices.

Keywords: decision analysis; sequential; dynamic programming; applications; economics; econometrics; poverty; liquidity constraints; inconvenience; rechargeable lamps; business model evaluation; structural model; Rwanda (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:70:y:2024:i:5:p:3038-3058

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