Abstract
This paper investigates the role played by socio-religious categories in determining primary cooking fuel choices among Indian households. We study this role in the broader context of climbing up the energy ladder. Our estimates based on a sample of 601,509 households and using multinomial probit regression suggest that socio-religious status along with economic status is critical in the choice of modern eco-friendly fuels. We find that belonging to a marginalized community in Hindu religion significantly dampens a households’ likelihood to move up the ladder when compared with upper caste households. While intra-religion differences among Hindu castes in terms of their probability of using modern fuels are wider, differences among Muslims appear smaller. Also, though Muslims perform worse than Hindu upper castes in terms of probability of using modern fuels they are much better off in comparison with other Hindu castes. Our results remain robust to alternative specifications and several robustness checks.
Similar content being viewed by others
Notes
Other Backward Classes, Scheduled Castes and Scheduled Tribes are a part of government recognized classification for population in India.
References
Ahmad, T. (2018). State Anti-conversion Laws in India. https://www.loc.gov/law/help/anti-conversion-laws/india.php.
Alem, Y., Beyene, A. D., Köhlin, G., & Mekonnen, A. (2016). Modeling household cooking fuel choice: a panel multinomial logit approach. Energy Economics, 59(7), 129–137.
Arnold, J. E. M., Kohlin, G., & Persson, R. (2006). Woodfuels, livelihoods and policy interventions: changing perspectives. World Development, 34(3), 596–611.
Austin, K. F., & Mejia, M. T. (2017). Household air pollution as a silent killer: women’s status and solid fuel use in developing nations. Population and Environment, 39(1), 1–25.
Banerjee, B., & Knight, J. (1985). Caste discrimination in the Indian urban labour market. Journal of Development Economics, 17(3), 277–307.
Banerjee, A., & Somanathan, R. (2001). Caste, community and collective action: the political economy of public good provision in India. mimeo, Massachusetts Institute of Technology.
Barron, M., & Torero, M. (2017). Household electrification and indoor air pollution. Journal of Environmental Economics and Management, 86, 81–92.
Baru, R., Acharya, A., Acharya, S., Kumar, A., & Nagaraj, K. (2010). Inequities in access to health services in India: caste, class and region. Economic and Political Weekly, 45(38), 49–58.
Basant, R., & Sen, G. (2010). Who participates in higher education in India? Rethinking the role of affirmative action. Economic and Political Weekly, 45(39), 62–70.
Basant, R., & Sen, G. (2014). Parental education as a criterion for affirmative action in higher education. World Development, 64(12), 803–814.
Besley, T., Leight, J., Pande, R., & Rao, V. (2016). Long-run impacts of land regulation: evidence from tenancy reform in India. Journal of Development Economics, 118(1), 72–87.
Borooah, V. K. (2012). Social identity and educational attainment: the role of caste and religion in explaining differences between children in India. Journal of Development Studies, 48(7), 887–903.
Borooah, V. K., & Iyer, S. (2005). Vidya, Veda, and Varna: the influence of religion and caste on education in rural India. Journal of Development Studies, 41(8), 1369–1404.
Bros, C. (2014). The burden of caste on social identity in India. Journal of Development Studies, 50(10), 1411–1429.
Brounen, D., & Kok, N. (2011). On the economics of energy labels in the housing market. Journal of Environmental Economics and Management, 62(2), 166–179.
Campbell, B. M., Vermeulen, S. J., Mangono, J. J., & Mabugu, R. (2003). The energy transition in action: urban domestic fuel choices in a changing Zimbabwe. Energy Policy, 31(6), 553–562.
Cheng, C.-y., & Urpelainen, J. (2014). Fuel stacking in India: changes in the cooking and lighting mix, 1987-2010. Energy, 76(13), 306–317.
Davis, M. (1998). Rural household energy consumption: the effects of access to electricity—evidence from South Africa. Energy Policy, 26(3), 207–217.
Drèze, J., & Sen, A. (2013). An uncertain glory: India and its contradictions. New Delhi: Penguin Books India.
Duflo, E., Greenstone, M., & Hanna, R. (2008). Cooking stoves, indoor air pollution and respiratory health in rural Orissa. Economic and Political Weekly, 71–76.
Evans-Pritchard, E. E., & Beidelman, T. O. (1971). The translation of culture: essays to E.E. Evans-Pritchard. London: Tavistock Publications England.
Farsi, M., Filippini, M., & Pachauri, S. (2007). Fuel choices in urban Indian households. Environment and Development Economics, 12(6), 757–774.
Filmer, D., & Pritchett, L. H. (2001). Estimating wealth effects without expenditure data—or tears: an application to educational enrollments in states of India. Demography, 38(1), 115–132.
Goldemberg, J. (2000). World energy assessment: energy and the challenge of sustainability. United Nations Development Programme: New York.
Greene, W. H. (2012). Econometric analysis. Upper Saddle River: Prentice Hall New Jersey.
Gundimeda, H., & Kohlin, G. (2008). Fuel demand elasticities for energy and environmental policies: Indian sample survey evidence. Energy Economics, 30(2), 517–546.
Gupta, A. (2019). Where there is smoke: solid fuel externalities, gender, and adult respiratory health in India. Population and Environment, 41(1), 32–51.
Gupta, G., & Köhlin, G. (2006). Preferences for domestic fuel: analysis with socio-economic factors and rankings in Kolkata, India. Ecological Economics, 57(1), 107–121.
Gupta, K., Arnold, F., & Lhungdim, H. (2009). Health and living conditions in eight Indian cities. National Family Health Survey (NFHS-3), India, 2005–06. Mumbai: International Institute for Population Sciences.
Gupta, A., Vyas, S., Hathi, P., Khalid, N., Srivastav, N., Spears, D., & Coffey, D. (2019). Persistence of solid fuel use despite increases in LPG ownership: new survey evidence from rural north India.
Han, H., Wu, S., & Zhang, Z. (2018). Factors underlying rural household energy transition: a case study of China. Energy Policy, 114, 234–244.
Hanna, R., & Paulina, O. (2015). Moving up the energy ladder: the effect of an increase in economic well-being on the fuel consumption choices of the poor in India. The American Economic Review, 105(5), 242–246.
Heltberg, R. (2004). Fuel switching: evidence from eight developing countries. Energy Economics, 26(5), 869–887.
Heltberg, R. (2005). Factors determining household fuel choice in Guatemala. Environment and Development Economics, 10(3), 337–361.
Hiemstra-Van der Horst, G., & Hovorka, A. J. (2008). Reassessing the “energy ladder”: household energy use in Maun, Botswana. Energy Policy, 36(9), 3333–3344.
Hindustan Times (2020). Christians, Muslims’ exclusion from SC/ST category needs review: CJI. Retrieved from https://www.hindustantimes.com/india-news/christians-muslims-exclusion-from-sc-st-category-needs-review-cji/story-2LV0WMmcvQ9miTUbN9XwdK.html
Hosier, R. H., & Dowd, J. (1987). Household fuel choice in Zimbabwe: an empirical test of the energy ladder hypothesis. Resources and Energy, 9(4), 347–361.
Islar, M., Brogaard, S., & Lemberg-Pedersen, M. (2017). Feasibility of energy justice: exploring national and local efforts for energy development in Nepal. Energy Policy, 105, 668–676.
Israel, D. (2002). Fuel choice in developing countries: evidence from Bolivia. Economic Development and Cultural Change, 50(4), 865–890.
Ito, T. (2009). Caste discrimination and transaction costs in the labor market: evidence from rural North India. Journal of Development Economics, 88(2), 292–300.
Kebede, B., Bekele, A., & Kedir, E. (2002). Can the urban poor afford modern energy? The case of Ethiopia. Energy Policy, 30(11–12), 1029–1045.
Kemmler, A. (2007). Factors influencing household access to electricity in India. Energy for Sustainable Development, 11(4), 13–20.
Kishor, S., & Gupta, K. (2009). Gender equality and women’s empowerment in India: National Family health Survey (NFhS-3), India, 2005-6. Mumbai: International Institute for Population Sciences (IIPS).
Kishore, A., & Spears, D. (2014). Having a son promotes clean cooking fuel use in urban India: women’s status and son preference. Economic Development and Cultural Change, 62(4), 673–699.
Leach, G. (1992). The energy transition. Energy Policy, 20(2), 116–123.
Maity, B. (2017). Comparing health outcomes across scheduled tribes and castes in India. World Development, 96, 163–181.
Masera, O. M., Saatkamp, B. D., & Kammen, D. M. (2000). From linear fuel switching to multiple cooking strategies: a critique and alternative to the energy ladder model. World Development, 28(12), 2083–2103.
Miller, G., & Mobarak, A. M. (2011). Intra-household externalities and low demand for a new technology: experimental evidence on improved cookstoves. Unpublished manuscript.
Mishra, V. K., Retherford, R. D., & Smith, K. R. (1999). Biomass cooking fuels and prevalence of tuberculosis in India. International Journal of Infectious Diseases, 3(3), 119–129.
Nansaior, A., Patanothai, A., Terry, R., & Simaraks, S. (2011). Climbing the energy ladder or diversifying energy sources? The continuing importance of household use of biomass energy in urbanizing communities in Northeast Thailand. Biomass and Bioenergy, 35(10), 4180–4188.
Nguyen, T. T., Nguyen, T. T., Hoang, V. N., Wilson, C., & Managi, S. (2019). Energy transition, poverty and inequality in Vietnam. Energy Policy, 132, 536–548.
Peng, W., Hisham, Z., & Pan, J. (2010). Household level fuel switching in rural Hubei. Energy for Sustainable Development, 14(3), 238–244.
Planning Commission (2006). Scheduled Caste Sub-Plan. Government of India.
Poddar, P. (2020). For the love of God? Proselytization, religious restrictions and social conflicts in India. Mimeo.
Qiu, Y., Yang, F.-A., & Lai, W. (2019). The impact of indoor air pollution on health outcomes and cognitive abilities: empirical evidence from China. Population and Environment, 40(4), 388–410.
Rao, M. N., & Reddy, B. (2007). Variations in energy use by Indian households: an analysis of micro level data. Energy, 32(2), 143–153.
Roy, T., Kulkarni, S., & Vaidehi, Y. (2004). Social inequalities in health and nutrition in selected states. Economic and Political Weekly, 39(7), 677–683.
Saxena, V., & Bhattacharya, P. C. (2018). Inequalities in LPG and electricity consumption in India: the role of caste, tribe, and religion. Energy for Sustainable Development, 42(1), 44–53.
Sehgal, M., Rizwan, S. A., & Krishnan, A. (2014). Disease burden due to biomass cooking-fuel-related household air pollution among women in India. Global Health Action, 7. https://doi.org/10.3402/gha.v7.25326.
Singh, A. L., & Jamal, S. (2012). Assessing vulnerability of women to indoor air pollution. Research Journal of Environment and Earth Sciences, 4(11), 982–989.
Social groups | India Human Development Survey (n.d.). Retrieved from https://ihds.it-prod-lamp.aws.umd.edu/socialgroups
Song, C., Bilsborrow, R., Jagger, P., Zhang, Q., Chen, X., & Huang, Q. (2018). Rural household energy use and its determinants in China: how important are influences of payment for ecosystem services vs. other factors? Ecological Economics, 145, 148–159.
Taylor, M. J., Moran-Taylor, M. J., Castellanos, E. J., & Elías, S. (2011). Burning for sustainability: biomass energy, international migration, and the move to cleaner fuels and cookstoves in Guatemala. Annals of the Association of American Geographers, 101(4), 918–928.
The Economic Times (2015). Dalit Muslims, Dalit Christians & quota: what is it all about? Retrieved from https://economictimes.indiatimes.com/news/politics-and-nation/dalit-muslims-dalit-christians-quota-what-is-it-all-about/articleshow/49651516.cms
Train, K. (1986). Qualitative choice analysis: theory, econometrics, and an application to automobile demand (Vol. 10). MIT press.
van der Kroon, B., Brouwer, R., & van Beukering, P. J. H. (2013). The energy ladder: theoretical myth or empirical truth? Results from a meta-analysis. Renewable and Sustainable Energy Reviews, 20(4), 504–513.
van der Kroon, B., Brouwer, R., & van Beukering, P. J. H. (2014). The impact of the household decision environment on fuel choice behavior. Energy Economics, 44(4), 236–247.
Vithayathil, T., & Singh, G. (2012). Spaces of discrimination: residential segregation in Indian cities. Economic and Political Weekly, 47(37), 60–66.
WHO (2016). Indoor Air Pollution and Health. Factsheet No. 292. World Health Organization.
WHO, IEA, GACC, UNDP, & World Bank (2018). Policy Brief 2: Achieving Universal Access to Clean and Modern Cooking and Technologies.
Acknowledgments
The authors thankfully acknowledge the detailed and excellent review received from the Editor and four anonymous referees leading to substantial improvement of the paper. The second author also thanks Arindam Banerjee, Arnab K. Laha and Ankur Sarin for many useful discussions on choice modelling. However, the authors remain responsible for any remaining errors.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
Social groups according to IHDS classification
In this section, we calculate predicted probabilities and marginal effects for different social groups based on Indian Human Development Survey classification (Social groups| Indian Human Development Survey, n.d.). The survey suggests 8 social groups. For the purpose of our study the relevant classification becomes upper castes (includes Hindu forward castes and Brahmins), Other Backward castes (includes Hindu and Sikh OBC’s), Dalits (includes all Scheduled castes irrespective of religion), Adivasis (includes all Scheduled tribes irrespective of religion), Sikhs and Jains (Includes all Sikhs and Jains except OBC Sikhs), Christians (includes all Christians) and others (anyone else).
When we compare these results with our estimates, we observe that upper caste Hindus still have the highest predicted probability of using modern fuels among all the social groups. They are followed by Muslims in terms of predicted probability of using modern fuels. In our classification too, we had found that Muslim upper castes (or Muslim general) and Muslim OBC’s had the second highest probability of using modern fuels behind Hindu upper castes. In IHDS classification too, we find that Other Backward Castes (includes Hindu and Sikh OBC’s) lag behind Hindu upper castes. We also find that Dalits and Adivasis, irrespective of religion lag behind Hindu upper castes in terms of probability of using modern fuels. In our analysis, we had observed Hindu Scheduled Castes (Hindu Dalits) and Hindu Scheduled Tribes (Adivasis) to be lagging behind Hindu upper castes. Although we cannot compare our main estimates with the estimates from IHDS classification in its entirety, we still observe that the basic nature of our results still holds true.
Rights and permissions
About this article
Cite this article
Poddar, P., Pal, D. & Chatterjee, S. Moving up the energy ladder: does socio-religious status matter?. Popul Environ 42, 325–359 (2021). https://doi.org/10.1007/s11111-020-00365-3
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11111-020-00365-3