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Increasing microsolar technology adoption: Efficacy of vouchers, cash transfers, and microfinance schemes

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  • Wong, Jason Chun Yu
  • Blankenship, Brian
  • Harish, S.P.
  • Urpelainen, Johannes

Abstract

Solar lanterns serve as practical substitutes for kerosene as a source of lighting; however, because of liquidity and affordability concerns, the uptake of lanterns has been slow. We conducted a randomized control trial in Bahraich, Uttar Pradesh, amongst 500 households to see whether a voucher, microfinance, or cash program would be most effective. Using the Becker–Degroot–Marschak (BDM) method to elicit the respondents’ willingness to pay (WTP), we found that households receiving the voucher are willing to pay 436 INR (95% CI: 398–473) for a solar lantern (control mean = 326 INR, 95% CI = 291–361), or about 34% more than households in the control group, but still below the retail price of the lanterns. Quantile regression revealed that the voucher program has larger effects on households that are willing to pay least. Finally, we use Bayesian Additive Regression Trees (BART) to show that household wealth or lighting importance perceptions were not significant factors. These results highlight the problem of affordability as a prime obstacle and support the use of voucher-like incentive programs to encourage transitional technologies.

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  • Wong, Jason Chun Yu & Blankenship, Brian & Harish, S.P. & Urpelainen, Johannes, 2022. "Increasing microsolar technology adoption: Efficacy of vouchers, cash transfers, and microfinance schemes," Energy Economics, Elsevier, vol. 110(C).
  • Handle: RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322001219
    DOI: 10.1016/j.eneco.2022.105952
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    Cited by:

    1. Mahadevan, Meera & Meeks, Robyn & Yamano, Takashi, 2023. "Reducing information barriers to solar adoption: Experimental evidence from India," Energy Economics, Elsevier, vol. 120(C).

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    More about this item

    Keywords

    Vouchers; Household technology adoption; Lab-in-the-field; Energy access; Financing programs; Field experiments;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household

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