2020
DOI: 10.1088/2515-7620/abaca9
|View full text |Cite
|
Sign up to set email alerts
|

Jointly modeling the adoption and use of clean cooking fuels in rural India

Abstract: Solid fuel combustion is a major cause of household air pollution, a leading environmental health risk factor globally. In India, over 750 million people continue to rely on firewood and other solid fuels for daily cooking. We explore the drivers of adoption and use of liquefied petroleum gas (LPG), India’s dominant clean cooking fuel. We document strides in LPG ownership using a panel dataset of over 8,500 rural households from six Indian states surveyed in 2015 and 2018 (ACCESS), partially due to India’s fla… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
12
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 26 publications
(13 citation statements)
references
References 66 publications
1
12
0
Order By: Relevance
“…24,37 A study among 8,000 PMUY program bene ciaries proposed that long travel times from rural Indian villages to re ll points was a likely driver of 30% lower LPG consumption. 25 While this study proposed that fuel access is important at a village-level, we nd that accessibility may play a role at smaller scales in an African context; a 10-minute longer travel time to a retailer within a community may be a deterrent to LPG usage ( Figure 5). Indeed, a low intraclass correlation coe cient (0.01) in the consumption model emphasizes that LPG consumption was predominantly in uenced at a household-level (Table S3).…”
Section: Discussionmentioning
confidence: 77%
See 2 more Smart Citations
“…24,37 A study among 8,000 PMUY program bene ciaries proposed that long travel times from rural Indian villages to re ll points was a likely driver of 30% lower LPG consumption. 25 While this study proposed that fuel access is important at a village-level, we nd that accessibility may play a role at smaller scales in an African context; a 10-minute longer travel time to a retailer within a community may be a deterrent to LPG usage ( Figure 5). Indeed, a low intraclass correlation coe cient (0.01) in the consumption model emphasizes that LPG consumption was predominantly in uenced at a household-level (Table S3).…”
Section: Discussionmentioning
confidence: 77%
“…Younger households and smaller families were more likely to primarily use LPG and had higher consumption rates ( Figure 5), similar to ndings from a study of PMUY bene ciaries in India. 25 Moreover, using multi-burner LPG stoves greatly increased the probability of households with 5 members or greater primarily using LPG (Figure 3), likely because multi-burner stoves offer greater time and fuel savings to larger families. Using a double-burner stove was associated with substantially higher LPG consumption (21.92 kg/capita/yr (95%CI: 17.84,26.93)) compared with use of a single-burner stove (14.09 kg/capita/yr (95%CI: 11.53,17.21)).…”
Section: Socioeconomic Status and Demographicsmentioning
confidence: 99%
See 1 more Smart Citation
“…The primary fuel type usage rates for each states' urban and rural populations was retrieved from India's Time Use Survey 2019 data (SI table 2). Fuel stacking, using a secondary fuel in addition to a primary fuel, is a common [17,18], yet mostly unquantified practice nationwide. We utilize microdata from India's Residential Energy Survey (2020) [19] and household expenditure survey conducted by the National Sample Survey Office (2014) [20] to quantify the frequency at which primary LPG-households use biomass as a secondary fuel (SI table 3).…”
Section: Estimating Baseline Pm 25 Exposures For Each Indian State's ...mentioning
confidence: 99%
“…The 158 monitored activities were grouped as household (kitchen or living area), outdoor, or at work/school to align with microenvironments where PM 2.5 concentration estimates were available. Recall surveys have well-documented limitations associated with recall bias, particularly when assessing microenvironment exposures from solid-fuel use [18,28]. Here, we do not directly quantify uncertainties with individual responses, but rather incorporate the distribution of responses from each state's subpopulation groups (e.g.…”
Section: Estimating Baseline Pm 25 Exposures For Each Indian State's ...mentioning
confidence: 99%