IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v50y2023i4p895-910.html

A microsimulation of spatial inequality in energy access: A bayesian multi-level modelling approach for urban India

Author

Listed:
  • André P Neto-Bradley
  • Ruchi Choudhary
  • Peter Challenor

Abstract

Access to sustained clean cooking in India is essential to addressing the health burden of indoor air pollution from biomass fuels, but spatial inequality in cities can adversely affect uptake and effectiveness of policies amongst low-income households. Limited data exists on the spatial distribution of energy use in Indian cities, particularly amongst low-income households, and most quantitative studies focus primarily on the effect of economic determinants. A microsimulation approach is proposed, using publicly available data and a Bayesian multi-level model to account for effects of current cooking practices (at a household scale), local socio-cultural context and spatial effects (at a city ward scale). This approach offers previously unavailable insight into the spatial distribution of fuel use and residential energy transition within Indian cities. Uncertainty arising from heterogeneity in the population is factored into fuel use estimates through use of Markov Chain Monte Carlo (MCMC) sampling. The model is applied to four cities in the South Indian states of Kerala and Tamil Nadu, and comparison against ward-level survey data shows consistency with the model estimates. Ward-level effects exemplify how specific wards compare to the city average and to other urban areas in the state, which can help stakeholders design and implement clean cooking interventions tailored to the needs of those households.

Suggested Citation

  • André P Neto-Bradley & Ruchi Choudhary & Peter Challenor, 2023. "A microsimulation of spatial inequality in energy access: A bayesian multi-level modelling approach for urban India," Environment and Planning B, , vol. 50(4), pages 895-910, May.
    • Handle: RePEc:sae:envirb:v:50:y:2023:i:4:p:895-910
    DOI: 10.1177/23998083211073140
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083211073140
    Download Restriction: no
    File URL: https://libkey.io/10.1177/23998083211073140?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Neto-Bradley, André Paul & Choudhary, Ruchi & Bazaz, Amir, 2020. "Slipping through the net: Can data science approaches help target clean cooking policy interventions?," Energy Policy, Elsevier, vol. 144(C).
    2. Ekholm, Tommi & Krey, Volker & Pachauri, Shonali & Riahi, Keywan, 2010. "Determinants of household energy consumption in India," Energy Policy, Elsevier, vol. 38(10), pages 5696-5707, October.
    3. Zhang, Wenwen & Robinson, Caleb & Guhathakurta, Subhrajit & Garikapati, Venu M. & Dilkina, Bistra & Brown, Marilyn A. & Pendyala, Ram M., 2018. "Estimating residential energy consumption in metropolitan areas: A microsimulation approach," Energy, Elsevier, vol. 155(C), pages 162-173.
    4. Sehjpal, Ritika & Ramji, Aditya & Soni, Anmol & Kumar, Atul, 2014. "Going beyond incomes: Dimensions of cooking energy transitions in rural India," Energy, Elsevier, vol. 68(C), pages 470-477.
    5. Farsi, Mehdi & Filippini, Massimo & Pachauri, Shonali, 2007. "Fuel choices in urban Indian households," Environment and Development Economics, Cambridge University Press, vol. 12(6), pages 757-774, December.
    6. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
    7. Tirumalachetty, Sumala & Kockelman, Kara M. & Nichols, Brice G., 2013. "Forecasting greenhouse gas emissions from urban regions: microsimulation of land use and transport patterns in Austin, Texas," Journal of Transport Geography, Elsevier, vol. 33(C), pages 220-229.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Malla, Sunil & Timilsina, Govinda R, 2014. "Household cooking fuel choice and adoption of improved cookstoves in developing countries : a review," Policy Research Working Paper Series 6903, The World Bank.
    2. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    3. Neto-Bradley, André Paul & Choudhary, Ruchi & Bazaz, Amir, 2020. "Slipping through the net: Can data science approaches help target clean cooking policy interventions?," Energy Policy, Elsevier, vol. 144(C).
    4. MacCarty, Nordica A. & Bryden, Kenneth Mark, 2016. "An integrated systems model for energy services in rural developing communities," Energy, Elsevier, vol. 113(C), pages 536-557.
    5. Wang, Chengchao & Yang, Yusheng & Zhang, Yaoqi, 2012. "Rural household livelihood change, fuelwood substitution, and hilly ecosystem restoration: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2475-2482.
    6. Lay, Jann & Ondraczek, Janosch & Stoever, Jana, 2013. "Renewables in the energy transition: Evidence on solar home systems and lighting fuel choice in Kenya," Energy Economics, Elsevier, vol. 40(C), pages 350-359.
    7. Jack Gregory & David I. Stern, 2012. "Fuel Choices in Rural Maharashtra," CCEP Working Papers 1207, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    8. Akhter Ali & Dil Bahadur Rahut & Khondoker Abdul Mottaleb & Jeetendra Prakash Aryal, 2019. "Alternate energy sources for lighting among rural households in the Himalayan region of Pakistan: Access and impact," Energy & Environment, , vol. 30(7), pages 1291-1312, November.
    9. Zi, Cao & Qian, Meng & Baozhong, Gao, 2021. "The consumption patterns and determining factors of rural household energy: A case study of Henan Province in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    10. Rajesh Kalli & Pradyot Ranjan Jena & Shunsuke Managi, 2022. "Subsidized LPG Scheme and the Shift to Cleaner Household Energy Use: Evidence from a Tribal Community of Eastern India," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    11. Pallegedara, Asankha & Mottaleb, Khondoker Abdul & Rahut, Dil Bahadur, 2021. "Exploring choice and expenditure on energy for domestic works by the Sri Lankan households: Implications for policy," Energy, Elsevier, vol. 222(C).
    12. van Ruijven, Bas J. & van Vuuren, Detlef P. & de Vries, Bert J.M. & Isaac, Morna & van der Sluijs, Jeroen P. & Lucas, Paul L. & Balachandra, P., 2011. "Model projections for household energy use in India," Energy Policy, Elsevier, vol. 39(12), pages 7747-7761.
    13. Gaur, Varun, "undated". "Determinants of household’s modern cooking and lighting energy transition in rural India – Exploring household’s activities and its interactions with other households," Discussion Papers 271347, University of Bonn, Center for Development Research (ZEF).
    14. Rahut, Dil Bahadur & Das, Sukanya & De Groote, Hugo & Behera, Bhagirath, 2014. "Determinants of household energy use in Bhutan," Energy, Elsevier, vol. 69(C), pages 661-672.
    15. Yawale, Satish Kumar & Hanaoka, Tatsuya & Kapshe, Manmohan, 2021. "Development of energy balance table for rural and urban households and evaluation of energy consumption in Indian states," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    16. Alem, Yonas & Beyene, Abebe D. & Köhlin, Gunnar & Mekonnen, Alemu, 2016. "Modeling household cooking fuel choice: A panel multinomial logit approach," Energy Economics, Elsevier, vol. 59(C), pages 129-137.
    17. Tafadzwa Makonese & Ayodeji P Ifegbesan & Isaac T Rampedi, 2018. "Household cooking fuel use patterns and determinants across southern Africa: Evidence from the demographic and health survey data," Energy & Environment, , vol. 29(1), pages 29-48, February.
    18. Daioglou, Vassilis & van Ruijven, Bas J. & van Vuuren, Detlef P., 2012. "Model projections for household energy use in developing countries," Energy, Elsevier, vol. 37(1), pages 601-615.
    19. Bingdong Hou & Xin Tang & Chunbo Ma & Li Liu & Yi-Ming Wei & Hua Liao, 2018. "Cooking fuel choice in rural China: results from microdata," CEEP-BIT Working Papers 110, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    20. Madhusmita Dash & Bhagirath Behera & Dil Bahadur Rahut, 2018. "Understanding the factors that influence household use of clean energy in the Similipal Tiger Reserve, India," Natural Resources Forum, Blackwell Publishing, vol. 42(1), pages 3-18, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:50:y:2023:i:4:p:895-910. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.