Multi-Tier Framework for Measuring Energy Access 2017
Nepal, 2017
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Reference ID
NPL_2017_MTF_v01_M
Producer(s)
Energy Sector Managment Assistance Program (ESMAP)
Metadata
Created on
Nov 04, 2019
Last modified
Nov 29, 2021
Page views
38579
Downloads
2009
Identification
Survey ID Number
NPL_2017_MTF_v01_M
Title
Multi-Tier Framework for Measuring Energy Access 2017
Country/Economy
| Name | Country code |
|---|---|
| Nepal | NPL |
Study type
Other Household Survey
Series Information
The World Bank, with the support of the Energy Sector Management Assistance Program (ESMAP), has launched the Global Survey on Energy Access, which relies on the Multi-Tier Framework (MTF) approach. The first phase is being carried out in 17 countries across Latin America, Africa, and Asia. The survey's objective is to provide more nuanced data on energy access, including access to electricity and cooking solutions. The MTF approach goes beyond the traditional binary measurement of energy access-for example, "having or not having" a connection to electricity, and "using or not using" clean fuels in cooking - to capture the multidimensional nature of energy access and the vast range of technologies and sources that can provide energy access, while accounting for the large differences in user experiences. The MTF survey provides detailed household energy data for governments, development partners, the private sector, non-governmental organizations, investors, and service providers.
Abstract
The World Bank, with the support of the Energy Sector Management Assistance Program (ESMAP), has launched the Global Survey on Energy Access, which relies on the Multi-Tier Framework (MTF) approach. The Global Survey on Energy Access using the Multi-Tier Framework approach in Nepal 2017 has as its primary objectives:
- To measure household access to electricity based on the following seven attributes: capacity, availability, reliability, quality, affordability, formality, and health and safety.
- To measure household access to modern energy cooking solutions based on the following six attributes: cooking exposure, cookstove efficiency, convenience, affordability, health and safety of primary cookstove, and fuel availability.
- To provide detailed household energy data, including data on all energy sources each household uses with details on each MTF attribute; energy-related spending; energy use; user preferences; willingness to pay for grid, off-grid, and cooking solutions; and the satisfaction of customers with their primary energy source, for governments, development partners, the private sector, non-governmental organizations, investors, and service providers.
- To provide disaggregated data by urban or rural location, by economic quintile, and by the gender of the household head.
- To measure household access to electricity based on the following seven attributes: capacity, availability, reliability, quality, affordability, formality, and health and safety.
- To measure household access to modern energy cooking solutions based on the following six attributes: cooking exposure, cookstove efficiency, convenience, affordability, health and safety of primary cookstove, and fuel availability.
- To provide detailed household energy data, including data on all energy sources each household uses with details on each MTF attribute; energy-related spending; energy use; user preferences; willingness to pay for grid, off-grid, and cooking solutions; and the satisfaction of customers with their primary energy source, for governments, development partners, the private sector, non-governmental organizations, investors, and service providers.
- To provide disaggregated data by urban or rural location, by economic quintile, and by the gender of the household head.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household
Version
Version Description
- v01: Anonymous, cleaned raw dataset for public distribution.
Version Notes
This dataset is the raw, cleaned data provided by the survey firm with all personal information, such as names and GPS locations, removed.
Scope
Notes
The scope of the Global Survey on Energy Access using the Multi-Tier Framework approach in Nepal (2017) includes:
A) Household roster
B) Household characteristics
C) Supply and demand of electricity
D) Willingness to pay for a grid connection
E) Willingness to pay for improved electricity supply
F) Willingness to pay for solar device
G) Kerosene/fuel-based/candle lighting
H) Dry-cell batteries
I) Household fuel consumption for cooking
J) Use of cooking solutions
K) Space and water heating
L) Willingness to pay for an improved cookstove
M) Consumption/expenditure
N) Household assets: Tranportation and agricultural equipment ownership and total
O) Household land ownership and other assets
P) Household economic shocks
Q) Street lighting
R) Time use
S) Health impacts
T) Attitudes
U) Women's empowerment
A) Household roster
B) Household characteristics
C) Supply and demand of electricity
D) Willingness to pay for a grid connection
E) Willingness to pay for improved electricity supply
F) Willingness to pay for solar device
G) Kerosene/fuel-based/candle lighting
H) Dry-cell batteries
I) Household fuel consumption for cooking
J) Use of cooking solutions
K) Space and water heating
L) Willingness to pay for an improved cookstove
M) Consumption/expenditure
N) Household assets: Tranportation and agricultural equipment ownership and total
O) Household land ownership and other assets
P) Household economic shocks
Q) Street lighting
R) Time use
S) Health impacts
T) Attitudes
U) Women's empowerment
Coverage
Geographic Coverage
National coverage
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Energy Sector Managment Assistance Program (ESMAP) | The World Bank |
Producers
| Name | Affiliation |
|---|---|
| Alisha Pinto | World Bank |
| Han Kyul Yoo | World Bank |
| Elisa Portale | World Bank |
| Dana Rysankova | World Bank |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| The World Bank Group | WBG |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Nawa Raj Dhakal | Alternative Energy Promotion Centre | Director General |
| Dr. Narayan Adhikari | Alternative Energy Promotion Centre | Director |
| Ram Prasad Dhital | Alternative Energy Promotion Centre | Executive Director |
| Dr. Bishwa Nath Oli | Ministry of Forests and Environment | Secretary |
| Hara Raj Neupane | Nepal Electricity Authority | Director |
| Suman Raj Aryal | Nepal Electricity Authority | Director General |
| Kulman Ghising | Nepal Electricity Authoritiy | Managing Director |
| Shushil Kumar Sharma | Central Bureau of Statistics | Director |
| Pratibha Manandhar | Ministry of Energy | |
| Jaime Sologuren | EnDev Nepal | |
| Jens Deutsch | EnDev Nepal | |
| Madhusudan Adhikari | AEPC | |
| Satish Gautam | AEPC |
Sampling
Sampling Procedure
The sample design for the Multi-Tier Framework for Measuring Energy Access conducted in Nepal (2017) was based on a two-stage stratification, aimed at being representative of the country at large. At the first stage, the enumeration areas wards were selected randomly from each of the newly formed provinces to be representative of urban and rural areas and the distinct ecological regions in Nepal (the Mountains, Hills, and Terai). The number of wards selected from each province was roughly in proportion to the province size (that is, the number of wards in a province). All in all, 400 wards were selected nationwide. The field teams visited each selected ward, and the enumerators compiled a list of the households in the ward to obtain an updated version of the total number of households in each ward and their grid-electrification status. In the second stage, 15 households were selected for interviews from the list for each ward. The criterion for selection of households was that a ratio of 50:50 grid-connected and non-grid households needed to be maintained, following the standard sampling methodology for the national household surveys of the MTF for Energy Access.
The MTF global survey has a benchmark of 3,500 households for a national-level survey, with a 50:50 distribution of urban and rural areas and 50:50 distribution of grid and non-grid households, if possible. Based on the needs of project teams within the World Bank, some additional areas were selected for oversampling to better understand the use of various cooking solutions. However, the oversample did not specifically target areas with existing programs on clean or improved stove distribution; instead larger administrative regions were selected to be included. With oversampling, the Nepal MTF survey covered a total of 6,000 households. The allocation aimed at generating a sample large enough to produce estimates by province, ecological region, rural and urban areas, and grid connection status. For rural and urban areas, the sample was drawn from all seven provinces and the three geographic areas (Mountain, Hill and Terai). The Hill region was further divided into two groups Kathmandu region and the rest of the Hill area to highlight the findings from the national capital area.
The MTF global survey has a benchmark of 3,500 households for a national-level survey, with a 50:50 distribution of urban and rural areas and 50:50 distribution of grid and non-grid households, if possible. Based on the needs of project teams within the World Bank, some additional areas were selected for oversampling to better understand the use of various cooking solutions. However, the oversample did not specifically target areas with existing programs on clean or improved stove distribution; instead larger administrative regions were selected to be included. With oversampling, the Nepal MTF survey covered a total of 6,000 households. The allocation aimed at generating a sample large enough to produce estimates by province, ecological region, rural and urban areas, and grid connection status. For rural and urban areas, the sample was drawn from all seven provinces and the three geographic areas (Mountain, Hill and Terai). The Hill region was further divided into two groups Kathmandu region and the rest of the Hill area to highlight the findings from the national capital area.
Deviations from the Sample Design
At the time of the sample selection, the grid connection (electrification) status of wards was not available. The distribution was estimated based on the results from recent surveys, such as the 2013/14 Nepal household survey, which shows the share of households with electricity as their main source of light to be 72.9% in rural areas and 97.2% in urban areas. Because of the overwhelmingly large share of the grid households, both in urban and rural areas, it was not possible to maintain the planned 50:50 distribution of grid-connected and non-grid households in the sample. Accordingly, it was decided that the allocation of grid and non-grid households would be 10 and 5, respectively, in rural enumeration areas, and 13 and 2, respectively in urban enumeration areas.
Response Rate
Overall, 4,660 grid-connected and 1,340 non-grid households were sampled for the survey.
Weighting
Sample weights for the household data were computed as the inverse of the probability of selection of the household. The weights were adjusted for non-response households.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2017-07 | 2017-12 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Collectors
| Name | Affiliation |
|---|---|
| Solutions Consultant Pvt. Ltd. | Private survey firm |
Data Processing
Data Editing
No editing was done to the raw dataset available on this website, except removal of personal identifying information.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| ESMAP Team | World Bank | esmap@worldbank.org |
Access conditions
Public use
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example,
Energy Sector Management Assistance Program (ESMAP), World Bank. Nepal - Multi-Tier Framework for Measuring Energy Access Household Survey (MTF) 2017. Ref. NPL_2017_MTF_v01_M. Dataset downloaded from [url] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example,
Energy Sector Management Assistance Program (ESMAP), World Bank. Nepal - Multi-Tier Framework for Measuring Energy Access Household Survey (MTF) 2017. Ref. NPL_2017_MTF_v01_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Copyright
(c) 2017, The World Bank
Metadata production
DDI Document ID
DDI_NPL_2017_MTF_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2019-10-09
DDI Document version
Version 01 (October 2019)