Abstract
Energy access delivers broad socio-economic benefits, but few studies have examined how benefits are allocated within the household. Here we conduct a large-scale survey with 4,624 respondents across six Indian states to provide results on intra-household differences across multiple outcome dimensions of energy service, including knowledge, satisfaction, utilization and opinion. Using a Women’s Empowerment Index (WEI) to measure household-level gender equality, we find that women in low-WEI households are less aware of energy services and use less electricity than their spouses. This awareness gap manifests in differences in satisfaction, as women in higher-WEI households show more concern with energy services and fuel sources. Overall, these results signify that the ‘one-size-fits-all’ approach of providing energy access may not effectively meet the goal of sustainable energy for all. Bridging the gender gap through targeted information and learning campaigns that empower and educate women could unlock additional support for sustainable energy policies.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout




Similar content being viewed by others
Data availability
The survey questionnaire and technical documentation are available in Supplementary Notes 1 and 9. The survey data are anonymous and publicly available on Harvard Dataverse39 at https://doi.org/10.7910/DVN/GV85BL. Fig. 1 uses India administrative boundary shape files by Anuj Tiwari, publicly available on GitHub. Supplementary Table 7 uses NFHS data for summary statistics, available at https://www.iipsindia.ac.in/content/nfhs-project.
Code availability
Code for replicating results in this article is publicly available67 on Zenodo at https://doi.org/10.5281/zenodo.6511986.
References
Bernard, T. Impact analysis of rural electrification projects in sub-Saharan Africa. World Bank Res. Obs. 27, 33–51 (2012).
Dinkelman, T. The effects of rural electrification on employment: new evidence from South Africa. Am. Econ. Rev. 101, 3078–3108 (2011).
Khandker, S. R., Samad, H. A., Ali, R. & Barnes, D. F. Who benefits most from rural electrification? Evidence in India. Energy J. 35, 75–96 (2014).
Lipscomb, M., Mobarak, A. M. & Barham, T. Development effects of electrification: evidence from the topographic placement of hydropower plants in Brazil. Am. Econ. J. Appl. Econ. 5, 200–231 (2013).
Peng, W., Yang, J., Lu, X. & Mauzerall, D. L. Potential co-benefits of electrification for air quality, health, and CO2 mitigation in 2030 China. Appl. Energy 218, 511–519 (2018).
Smith, K. R. et al. Millions dead: how do we know and what does it mean? methods used in the comparative risk assessment of household air pollution. Annu. Rev. Public Health 35, 185–206 (2014).
Burke, P. J. & Dundas, G. Female labor force participation and household dependence on biomass energy: evidence from national longitudinal data. World Dev. 67, 424–437 (2015).
Dasso, R. & Fernandez, F. The effects of electrification on employment in rural Peru. IZA J. Labor Dev. 4, 6 (2015).
Grogan, L. & Sadanand, A. Rural electrification and employment in poor countries: evidence from Nicaragua. World Dev. 43, 252–265 (2013).
Khandker, S. R., Barnes, D. F. & Samad, H. A. The welfare impacts of rural electrification in Bangladesh. Energy J. 33, 187–206 (2012).
Krishnapriya, P. P., Chandrasekaran, M., Jeuland, M. & Pattanayak, S. K. Do improved cookstoves save time and improve gender outcomes? Evidence from six developing countries. Energy Econ. 102, 105456 (2021).
Pueyo, A. & Maestre, M. Linking energy access, gender and poverty: a review of the literature on productive uses of energy. Energy Res. Soc. Sci. 53, 170–181 (2019).
Jensen, R. & Oster, E. The power of TV: cable television and women’s status in India. Q. J. Econ. 124, 1057–1094 (2009).
Rosenthal, J., Quinn, A., Grieshop, A. P., Pillarisetti, A. & Glass, R. I. Clean cooking and the SDGs: integrated analytical approaches to guide energy interventions for health and environment goals. Energy Sustain. Dev. 42, 152–159 (2018).
Aklin, M., Bayer, P., Harish, S. P. & Urpelainen, J. Does basic energy access generate socioeconomic benefits? A field experiment with off-grid solar power in India. Sci. Adv. 3, e1602153 (2017).
Global Gender Gap Report 2021 (World Economic Forum, 2021).
Gender Equality Index 2017: Methodological Report (European Institute for Gender Equality, 2017).
Human Development Report—Gender Inequality Index Technical Note (United Nations Development Programme, 2020).
Alkire, S. et al. The women’s empowerment in agriculture index. World Dev. 52, 71–91 (2013).
Malapit, H. et al. Development of the project-level Women’s Empowerment in Agriculture Index (pro-WEAI). World Dev. 122, 675–692 (2019).
Cowan, R. S. More Work For Mother (Basic Books, 1983).
Rosenberg, M., Armanios, D. E., Aklin, M. & Jaramillo, P. Evidence of gender inequality in energy use from a mixed-methods study in India. Nat. Sustain. 3, 110–118 (2020).
Transforming our World: the 2030 Agenda for Sustainable Development (United Nations, 2015).
Sachs, J. D. From Millennium Development Goals to Sustainable Development Goals. Lancet 379, 2206–2211 (2012).
India Energy Outlook 2021 (IEA, 2021).
Agrawal, S., Mani, S., Jain, A. & Ganesan, K. State of Electricity Access in India: Insights from the India Residential Energy Survey (IRES, 2020).
Mani, S., Agrawal, S., Jain, A. & Ganesan, K. Access to Clean Cooking Energy Among Indian Households: Insights from the India Residential Energy Survey (IRES, 2021).
Human Development Report 2019: Beyond Income, Beyond Averages, Beyond Today: Inequalities in Human Development in the 21st Century (UNDP, 2019).
Global Gender Gap Report 2020 (World Economic Forum, 2019).
Odo, D. B., Yang, I. A., Green, D. & Knibbs, L. D. Women’s empowerment and household fuel use in 31 African countries: a cross-sectional analysis of households in the Demographic and Health Survey. Environ. Res. Lett. 16, 025012 (2021).
Banerjee, S. G., Barnes, D., Singh, B., Mayer, K. & Samad, H. Power for All: Electricity Access Challenge in India (World Bank Publications, 2014).
Chowdhury, S. K. Impact of infrastructures on paid work opportunities and unpaid work burdens on rural women in Bangladesh. J. Int. Dev. 22, 997–1017 (2010).
Miller, G. & Mobarak, A. M. Gender Differences in Preferences, Intra-Household Externalities, and Low Demand for Improved Cookstoves. Working Paper 18964 (National Bureau of Economic Research, 2013).
Standal, K. & Winther, T. Empowerment through energy? Impact of electricity on care work practices and gender relations. Forum Dev. Stud. 43, 27–45 (2016).
Barron, M. & Torero, M. Electrification and Time Allocation: Experimental Evidence from Northern El Salvador. MPRA Paper 63782 (University Library of Munich, 2014).
Akpandjar, G. & Kitchens, C. From darkness to light: the effect of electrification in Ghana, 2000–2010. Econ. Dev. Cult. Change 66, 31–54 (2017).
Rathi, S. S. & Vermaak, C. Rural electrification, gender and the labor market: a cross-country study of India and South Africa. World Dev. 109, 346–359 (2018).
van de Walle, D., Ravallion, M., Mendiratta, V. & Koolwal, G. Long-Term Impacts of Household Electrification in Rural India. Policy Research Working Paper Series 6527 (World Bank Publications, 2013).
Patnaik, S., Jha, S., Zhang, A. T., Agrawal, S. & Urpelainen, J. Gender perception survey for energy access and use (2020) Harvard Univ. Dataverse https://doi.org/10.7910/DVN/GV85BL (2021).
Kabeer, N. Resources, agency, achievements: reflections on the measurement of women’s empowerment. Dev. Change 30, 435–464 (1999).
Claros, E. & Shreeves, R. Measuring Gender Equality (European Parliamentary Research Service, 2019).
Women’s Empowerment Index (UN Women, 2020).
W+ Standard Program Guide Version 1.3 (WOCAN, 2020).
About PMUY. Government of India, Ministry of Petroleum and Natural Gas https://www.pmujjwalayojana.com/about.html (2021).
Subramaniam, R. Gender-bias in India: the importance of household fixed-effects. Oxf. Econ. Pap. 48, 280–299 (1996).
Saubhagya Dashboard. Government of India, Ministry of Power https://saubhagya.gov.in/ (2019).
Balakrishnan, K. et al. The impact of air pollution on deaths, disease burden, and life expectancy across the states of India: the Global Burden of Disease Study 2017. Lancet Planet. Health 3, e26–e39 (2019).
Murray, C. J. L. et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1223–1249 (2020).
Malakar, Y. & Day, R. Differences in firewood users’ and LPG users’ perceived relationships between cooking fuels and women’s multidimensional well-being in rural India. Nat. Energy 5, 1022–1031 (2020).
Srinivasan, S. & Carattini, S. Adding fuel to fire? Social spillovers in the adoption of LPG in India. Ecol. Econ. 167, 106398 (2020).
Becker, G. S. A theory of social interactions. J. Polit. Econ. 82, 1063–1093 (1974).
Deaton, A. The Analysis of Household Surveys: A Microeconometric Approach to Development Policy (World Bank Publications, 1997).
Samuelson, P. A. Social indifference curves. Q. J. Econ. 70, 1–22 (1956).
Kar, A., Pachauri, S., Bailis, R. & Zerriffi, H. Using sales data to assess cooking gas adoption and the impact of India’s Ujjwala programme in rural Karnataka. Nat. Energy 4, 806–814 (2019).
Patnaik, S. & Jha, S. Caste, class and gender in determining access to energy: a critical review of LPG adoption in India. Energy Res. Soc. Sci. 67, 101530 (2020).
Gould, C. F. & Urpelainen, J. The gendered nature of liquefied petroleum gas stove adoption and use in rural India. J. Dev. Stud. 56, 1309–1329 (2020).
Lau, J. D., Kleiber, D., Lawless, S. & Cohen, P. J. Gender equality in climate policy and practice hindered by assumptions. Nat. Clim. Change 11, 186–192 (2021).
Narayan, D. Empowerment and Poverty Reduction: A Sourcebook. (World Bank Publications, 2002).
Wooldridge, J. M. Econometric Analysis of Cross Section and Panel Data, 2nd edn (MIT Press, 2010).
Abadie, A., Athey, S., Imbens, G. W. & Wooldridge, J. When Should You Adjust Standard Errors for Clustering? Working Paper 24003 (National Bureau of Economic Research, 2017).
Beck, N. Estimating grouped data models with a binary-dependent variable and fixed effects via a logit versus a linear probability model: the impact of dropped units. Polit. Anal. 28, 139–145 (2020).
Gomila, R. Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis. J. Exp. Psychol. Gen. 150, 700–709 (2021).
Anderson, M. L. Multiple inference and gender differences in the effects of early intervention: a reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects. J. Am. Stat. Assoc. 103, 1481–1495 (2008).
Jones, D., Molitor, D. & Reif, J. What do workplace wellness programs do? Evidence from the Illinois Workplace Wellness Study. Q. J. Econ. 134, 1747–1791 (2019).
Mckenzie, D. An updated overview of multiple hypothesis testing commands in Stata. World Bank Blogs https://blogs.worldbank.org/impactevaluations/updated-overview-multiple-hypothesis-testing-commands-stata (2021).
Shaffer, J. P. Multiple hypothesis testing. Annu. Rev. Psychol. 46, 561–584 (1995).
Zhang, A. T. Replication package for “Evidence of multi-dimensional gender inequality in energy services from a large-scale household survey in India”. Zenodo https://doi.org/10.5281/zenodo.6511986 (2022).
Acknowledgements
S.P., S.J. and S.A. were supported by the John D. and Catherine T. MacArthur Foundation (grant number 17-1705-151972-CLS) for survey data collection and verification. C.F.G. was supported by the National Institute of Environmental Health Sciences (grant number F31 ES ES031833).
Author information
Authors and Affiliations
Contributions
A.T.Z. conceived and designed survey, contributed to data collection and verification, performed data analysis and wrote the paper. S.P. contributed to survey design and led data collection and verification. S.J. contributed to survey design and contributed to data collection and verification. S.A. contributed to survey design and conducted survey sampling. C.F.G. contributed to survey design and verification. J.U. conceived the survey and oversaw the administration of the project. All authors read and approved the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Energy thanks Praveen Kumar, Nathalie Quinn and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary Information
This document contains all Supplementary Notes and Tables.
Rights and permissions
About this article
Cite this article
Zhang, A.T., Patnaik, S., Jha, S. et al. Evidence of multidimensional gender inequality in energy services from a large-scale household survey in India. Nat Energy 7, 698–707 (2022). https://doi.org/10.1038/s41560-022-01044-3
Received:
Accepted:
Published:
Issue date:
DOI: https://doi.org/10.1038/s41560-022-01044-3
This article is cited by
-
Using clean fuels promotes diverse diets and health in Chinese households
Food Security (2025)
-
Energy justice and gender: bridging equity, access, and policy for sustainable development
Discover Sustainability (2025)
-
Exploring configurational effects of national environmental, social, and governance performance on energy efficiency: a dynamic qualitative comparative analysis
Environment, Development and Sustainability (2024)
-
Energy access and women's empowerment
Nature Energy (2022)