Quality of service predicts willingness to pay for household electricity connections in rural India

Kennedy, Ryan; Mahajan, Aseem; Urpelainen, Johannes

doi:10.1016/j.enpol.2019.01.034

Cited by 35 publications

(24 citation statements)

References 43 publications

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“…Lack of electricity dissatisfies women as children have less flexible study time at home [Kennedy et al, 2019]. From a non-economic standpoint, street and household lighting allows women to commute after dark [Standal and Winther, 2016].…”

Section: Background and Literaturementioning

confidence: 99%

“…Access to electricity and other sources of energy have been widely discussed as an effective pathway to empower women [Samad and Zhang, 2019, Khandker et al, 2014, Gould and Urpelainen, 2018, but the discussion of empowering women through reliable and adequate electricity at the intensive margin has remained elusive [Kennedy et al, 2019]. Thus, empirical evidence on the effect of quality of electricity on women's intra-household resource allocation, bargaining, time allocation and safety has been lacking.…”

Section: Introductionmentioning

confidence: 99%

“…Women in developing countries spend more time in the household than men hence, the quality of household electrification disproportionately affects them [Dinkelman, 2011, O'Dell et al, 2014. However, the focus in the literature has been whether access to electricity benefits the households, especially women, through increases in labor supply, schooling of children, household income and expenditure as well as women's economic decision making ability and mobility [Samad and Zhang, 2019, Khandker et al, 2014, Rao, 2013, O'Dell et al, 2014.…”

Section: Introductionmentioning

confidence: 99%

“…We analyze the effect of electrification on women empowerment variables related to economic freedom, reproductive freedom, mobility and decision-making ability. We use (i) Ordinary Least Squares (OLS) with district and caste fixed effects (FE) and (ii) Two Stage Least Squares instrumental variable (2SLS-IV-FE) regressions with a geographic instrumental variable Fang [2003][Khandker et al, 2014 Rao [2013] [Chakravorty et al, 2014], average hours of electricity at the village/PSU 1 level as an instrument along with district and caste fixed effects. We use principal component analyses (PCA) of nineteen empowerment variables to create five indices and regress them on outages and quintiles of power outages.…”

Section: Introductionmentioning

confidence: 99%

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Electrification and Socio-Economic Empowerment of Women in India

Sedai¹,

Nepal²,

Jamasb³

2022

The Energy Journal

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Section: Background and Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Electrification and Socio-Economic Empowerment of Women in India

Sedai¹,

Nepal²,

Jamasb³

2022

The Energy Journal

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“…Qualitative examination of Mpanta solar mini grid in rural northern Zambia using energy culture perspective. (Kennedy, Mahajan, & Urpelainen, 2019) Electricity service quality determines the willingness-to-pay for grid-connected electricity bills (i.e., appliance use) in rural India. Indian policymakers can increase electricity prices in exchange for improved services and better technology.…”

Section: Referencesmentioning

confidence: 99%

Socially inclusive renewable energy transition in sub-Saharan Africa: A social shaping of technology analysis of appliance uptake in Rwanda

Muza¹,

Debnath²

2020

Preprint

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Rural off-grid renewable energy solutions often fail due to uncertainties in household energy demand, insufficient community engagement, inappropriate financial models, policy inconsistency and lack of political will. Social shaping of technology (SST) of specific household electric appliances provides a critical lens of understanding the involved socio-technical drivers behind these constraints. This study employs an SST lens to investigate appliance uptake drivers in Rwanda using the EICV5 micro dataset, such that these drivers can aid in policy design of a socially inclusive renewable energy transition. The methodology includes a systemic and epistemological review of current literature on the drivers of appliance uptake in the Global South. These drivers were then analysed using binary logistic regression on 14,580 households. Results show that appliance uptake is highly gendered in Rwanda and the type of appliance determines its diffusion across the welfare categories, commonly referred as to Ubudehe categories. Regression results show that mobile phones, radios and TV-sets have a higher likelihood of ownership than welfare appliances (refrigerator and laundry machine) by low-income households. There is also a high likelihood of uptake of power stabilisers in urban areas, indicating poor power quality. Policy implications were drawn using the lens of disruptive innovation.

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