NPL_2017_MTF_v01_M
Multi-Tier Framework for Measuring Energy Access 2017
Name | Country code |
---|---|
Nepal | NPL |
Other Household Survey
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.
Sample survey data [ssd]
Household
This dataset is the raw, cleaned data provided by the survey firm with all personal information, such as names and GPS locations, removed.
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
National coverage
Name | Affiliation |
---|---|
Energy Sector Managment Assistance Program (ESMAP) | The World Bank |
Name | Affiliation |
---|---|
Alisha Pinto | World Bank |
Han Kyul Yoo | World Bank |
Elisa Portale | World Bank |
Dana Rysankova | World Bank |
Name |
---|
The World Bank Group |
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 |
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.
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.
Overall, 4,660 grid-connected and 1,340 non-grid households were sampled for the survey.
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.
Start | End |
---|---|
2017-07 | 2017-12 |
Name | Affiliation |
---|---|
Solutions Consultant Pvt. Ltd. | Private survey firm |
No editing was done to the raw dataset available on this website, except removal of personal identifying information.
Name | Affiliation |
---|---|
Han Kyul Yoo | The World Bank |
Public use
Use of the dataset must be acknowledged using a citation which would include:
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 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.
(c) 2017, The World Bank
Name | Affiliation | |
---|---|---|
ESMAP Team | World Bank | esmap@worldbank.org |
DDI_NPL_2017_MTF_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2019-10-09
Version 01 (October 2019)
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