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dc.contributor.authorChindarkar, Namrata
dc.contributor.authorGoyal, Nihit
dc.date.accessioned2025-05-21T07:15:06Z
dc.date.available2025-05-21T07:15:06Z
dc.date.issued2023-12-25
dc.identifier.urihttp://hdl.handle.net/11718/27793
dc.descriptionElectricity access is an important issue and building capacity for it requires drawing relevant lessons from past policies. In this study, we evaluate the effect of the Jyotigram Yojana, or the lighted village scheme, a supply-side policy intervention during 2003–08 to increase rural electricity access in Gujarat, India. We hypothesize that policy implementation is associated with increased electricity consumption. To test this hypothesis, we exploit variation in the timing of policy implementation at the village level, and use a generalized difference-in-differences strategy for identification. Further, we use night-time luminosity measured through remote sensing as a proxy for electricity consumption, and control for weather, village fixed effect, year fixed effect, and village or administrative block specific time trend. We find that while the overall effect of the policy on night-time luminosity was not statistically significant, the effects were likely heterogeneous, with the night-time luminosity increasing in some districts after policy implementation and decreasing in others. We conclude that the policy might have had a re-distributive effect on electricity access or consumption and recommend adopting a more holistic approach – incorporating both supply-side and demand-side measures – to increase electricity access.en_US
dc.description.abstractElectricity access is an important issue and building capacity for it requires drawing relevant lessons from past policies. In this study, we evaluate the effect of the Jyotigram Yojana, or the lighted village scheme, a supply-side policy intervention during 2003–08 to increase rural electricity access in Gujarat, India. We hypothesize that policy implementation is associated with increased electricity consumption. To test this hypothesis, we exploit variation in the timing of policy implementation at the village level, and use a generalized difference-in-differences strategy for identification. Further, we use night-time luminosity measured through remote sensing as a proxy for electricity consumption, and control for weather, village fixed effect, year fixed effect, and village or administrative block specific time trend. We find that while the overall effect of the policy on night-time luminosity was not statistically significant, the effects were likely heterogeneous, with the night-time luminosity increasing in some districts after policy implementation and decreasing in others. We conclude that the policy might have had a re-distributive effect on electricity access or consumption and recommend adopting a more holistic approach – incorporating both supply-side and demand-side measures – to increase electricity access.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEnergy Policyen_US
dc.subjectPast policiesen_US
dc.subjectJyotigram Yojanaen_US
dc.subjectPolicy implementationen_US
dc.subjectGeographic Information Systemen_US
dc.subjectSustainable development goal on energyen_US
dc.titleDid it increase energy consumption? a difference-in-differences evaluation of a rural electrification policy in Gujarat, India using night-time lights dataen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.enpol.2023.113814en_US


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