| Literature DB >> 35125780 |
Jabir Ali1, Waseem Khan2.
Abstract
This paper investigates the factors affecting access to clean cooking fuel among rural Indian households during the COVID-19 outbreak, based on World Bank's rural impact survey, covering 2731 rural households. Our analysis shows a significant decline in access to clean fuel among rural households from 35% in 2018 i.e. before COVID-19 to 19.7% during the COVID-19 pandemic. This implies that in order to meet their cooking needs, many rural households have switched from conventional fuels, which have numerous health and environmental concerns. The association between states and socio-demographic profiles of rural households with access to sources of cooking fuel shows a significant difference. The analysis results further indicate that socio-demographic characteristics and asset holdings of the rural households are the key factors that determine access to clean cooking fuel during COVID-19. Among the socio-demographic variables, age, gender, family size, social category, and income level are estimated to be significant factors that affect the access to clean fuel for cooking. Similarly, ownership of assets such as exclusive kitchen room, refrigerator, pressure cooker, television, and furniture are significant factors affecting access to clean cooking fuel among Indian rural households. Additionally, this study provides policy insights on developing mechanisms to ensure that rural households have an access to clean cooking fuel during crisis situations such as COVID-19.Entities:
Keywords: COVID-19; Clean energy; Cooking fuel; India; Rural households
Year: 2022 PMID: 35125780 PMCID: PMC8806018 DOI: 10.1016/j.esd.2022.01.006
Source DB: PubMed Journal: Energy Sustain Dev ISSN: 0973-0826 Impact factor: 5.223
Fig. 1Research framework for access to clean cooking fuel.
Descriptive statistics and variable definition.
| Variables | Description | Code | N | Min | Max | Mean | STDEV |
|---|---|---|---|---|---|---|---|
| Access to clean fuel | What fuel you often used in cooking? | LPG/natural gas = 1, otherwise = 0 | 2731 | 0 | 1 | 0.197 | 0.398 |
| Age | Age of the respondent | Number | 2717 | 15 | 88 | 37.510 | 12.086 |
| Gender | Gender of the household head | Male = 1, female = 0 | 2731 | 0 | 1 | 0.813 | 0.390 |
| Family size | Number of family members | Number | 2701 | 1 | 27 | 6.497 | 2.928 |
| Social category | Which category does your household belong to? | Gen = 1, otherwise = 0 | 2603 | 0 | 1 | 0.117 | 0.321 |
| Education level | Schooling female head of household | Schooling = 1, no schooling = 0 | 2434 | 0 | 1 | 0.488 | 0.500 |
| Occupation | Have you cultivated this season? | Cultivation = 1, otherwise = 0 | 2731 | 0 | 1 | 0.240 | 0.427 |
| Income level | Income quartile | 1–4 | 2731 | 1 | 4 | 2.666 | 1.137 |
| Operational holding | Ownership of land holding | Area in hectare | 2731 | 0 | 182.11 | 0.629 | 4.261 |
| Exclusive kitchen | Household have exclusive separate room as kitchen | (Yes = no = 0) | 2731 | 0 | 1 | 0.370 | 0.483 |
| Refrigerator | Ownership of refrigerator | (Yes = no = 0) | 2472 | 0 | 1 | 0.068 | 0.252 |
| Pressure cooker | Ownership of pressure cooker | (Yes = no = 0) | 2539 | 0 | 1 | 0.368 | 0.482 |
| Television | Ownership of TV | (Yes = no = 0) | 2559 | 0 | 1 | 0.365 | 0.482 |
| Furniture | Household have furniture | (Yes = no = 0) | 2443 | 0 | 1 | 0.499 | 0.500 |
| Gold and silver | Ownership of gold and silver | (Yes = no = 0) | 2743 | 0 | 1 | 0.847 | 0.360 |
Source: Authors' calculations from Rural Impact Survey, 2020.
Sources of cooking fuel among rural households by states.
| Sources of cooking fuel | Pre COVID-19 | During COVID-19 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 2018 | 2020 | |||||||
| Bihar | Madhya Pradesh | Uttar Pradesh | Bihar | Madhya Pradesh | Uttar Pradesh | Bihar | Madhya Pradesh | Uttar Pradesh | |
| LPG/natural gas | 14 | 9 | 17 | 40 | 28 | 37 | 17 | 18 | 25 |
| Firewood | 32 | 82 | 56 | 32 | 55 | 41 | 53 | 67 | 28 |
| Dung | 38 | 7 | 26 | 22 | 17 | 22 | 24 | 13 | 44 |
| Others | 16 | 1 | 3 | 6 | 0 | 1 | 7 | 1 | 3 |
Source: CEEW analysis, 2018 for 2015 & 2018 and authors' calculations from Rural Impact Survey for 2020.
Access to the sources of cooking fuels among rural households by socio-demographic profiles.
| LPG/natural gas | Firewood | Dung cakes | Others | |||
|---|---|---|---|---|---|---|
| Age | ||||||
| <25 years | 15.1 | 53.4 | 27.3 | 4.2 | 17.037 | 0.048 |
| 26–40 years | 19.0 | 52.0 | 25.8 | 3.2 | ||
| 41–60 years | 23.1 | 47.7 | 25.1 | 4.1 | ||
| >60 years | 23.9 | 51.4 | 20.2 | 4.6 | ||
| Gender | ||||||
| Female | 24.5 | 43.7 | 28.2 | 3.5 | 15.421 | 0.001 |
| Male | 18.6 | 52.6 | 25.1 | 3.7 | ||
| Family size | ||||||
| 1–5 members | 22.2 | 50.5 | 23.8 | 3.4 | 14.614 | 0.023 |
| 5–10 members | 17.7 | 52.1 | 26.2 | 3.9 | ||
| More than 10 members | 18.0 | 45.6 | 32.7 | 3.7 | ||
| Education level | ||||||
| No schooling | 16.2 | 51.2 | 27.7 | 4.8 | 41.607 | 0.000 |
| Less than 5th class | 18.5 | 54.7 | 23.6 | 3.1 | ||
| 6th to 10th class | 22.7 | 53.4 | 22.1 | 1.8 | ||
| Above 10th class | 30.5 | 41.4 | 24.7 | 3.4 | ||
| Social category | ||||||
| General | 30.3 | 46.1 | 22 | 1.6 | 27.856 | 0.000 |
| SC/ST/others | 17.8 | 52.3 | 25.6 | 4.3 | ||
| OBC | 20.1 | 50.6 | 26 | 3.4 | ||
| Income quartile | ||||||
| 1 | 9.6 | 55.4 | 29.6 | 5.5 | 114.583 | 0.000 |
| 2 | 15.7 | 51.8 | 27.6 | 4.9 | ||
| 3 | 18.7 | 50.6 | 27.5 | 3.2 | ||
| 4 | 29.8 | 47.7 | 20.5 | 2 |
Source: Authors' calculations from Rural Impact Survey, 2020.
Significant at 0.01 level.
Significant at 0.05 level.
Significant at 0.10 level.
Factors affecting access to clean fuel among rural households during COVID-19 pandemic.
| Variables | β | Marginal effect | ||
|---|---|---|---|---|
| Socio-demographics | ||||
| Age | 0.008 | 0.075 | 0.001 | 0.074 |
| Gender | −0.418 | 0.002 | −0.061 | 0.002 |
| Family size | −0.055 | 0.009 | −0.008 | 0.009 |
| Social category | 0.256 | 0.098 | 0.037 | 0.098 |
| Education level | 0.154 | 0.174 | 0.022 | 0.173 |
| Occupation | 0.134 | 0.296 | 0.019 | 0.296 |
| Income level | 0.342 | 0.000 | 0.050 | 0.000 |
| Assets ownership | ||||
| Operational holding | 0.009 | 0.357 | 0.001 | 0.357 |
| Exclusive kitchen | 0.235 | 0.037 | 0.034 | 0.036 |
| Refrigerator | 0.381 | 0.057 | 0.055 | 0.057 |
| Pressure cooker | 0.359 | 0.004 | 0.052 | 0.003 |
| TV | 0.269 | 0.029 | 0.039 | 0.029 |
| Furniture | 0.232 | 0.046 | 0.034 | 0.046 |
| Gold and silver | 0.162 | 0.328 | 0.023 | 0.327 |
| Constant | −2.815 | 0.000 | ||
| Number of obs | 2286 | |||
| LR chi2(14) | 163.86 | |||
| Prob > chi2 | 0.000 | |||
| Pseudo R2 | 0.0727 | |||
| Log likelihood | −1044.87 |
Source: Authors' calculations from Rural Impact Survey, 2020.
Significant at 0.01 level.
Significant at 0.05 level.
Significant at 0.10 level.