{"doc_desc":{"title":"KEN_2016-2018_MTF_v01_M","idno":"DDI_ KEN_2016-2018_MTF_v02_M_WB","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2020-05-18","version_statement":{"version":"Version 2 (January 2021). This is an updated version that has no direct identifiers (GPS variables) that were present in Version 1.\n\n- Dataset MTF_HH_Core_Survey_Final_Data_trimmed-2.dta of Version 1 contained GPS variables that should not have been included. This new version addressed this issue.","version_date":"2021-01-21"}},"study_desc":{"title_statement":{"idno":"KEN_2016-2018_MTF_v02_M","title":"Multi-Tier Energy Access Tracking Framework Global Survey 2016-2018","alt_title":"MTF 2016-2018"},"authoring_entity":[{"name":"Energy Sector Management Assistance Program (ESMAP)","affiliation":"The World Bank"}],"production_statement":{"producers":[{"name":"Sunita Dubey","affiliation":"The World Bank","role":""},{"name":"Ehui Adovor","affiliation":"The World Bank","role":""},{"name":"Bryan Bonsuk Koo","affiliation":"The World Bank","role":""},{"name":"Elisa Portale","affiliation":"The World Bank","role":""},{"name":"Dana Rysankova","affiliation":"The World Bank","role":""}],"funding_agencies":[{"name":"The World Bank","abbreviation":"","role":""}]},"distribution_statement":{"contact":[{"name":"ESMAP Team","affiliation":"World Bank","email":"esmap@worldbank.org","uri":""}],"depositor":[{"name":"Energy Sector Management Assistance Program","abbreviation":"ESMAP","affiliation":"The World Bank"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"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 cook\u00ading - 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."},"version_statement":{"version":"-v02: Anonymous raw dataset for public distribution.","version_notes":"The dataset MTF_HH_Core_Survey_Final_Data_trimmed-2.dta contained GPS variables that should not have been included. This new version addressed this issue."},"study_info":{"abstract":"This Energy Access Diagnostic Report details the results of the MTF survey in Kenya and provides the status of access to electricity and to modern energy cooking solutions in that country. The report also exclusively focuses on 14 underserved counties prioritized by the Government of Kenya for improving access to electricity and clean cooking.","coll_dates":[{"start":"2016","end":"2018","cycle":""}],"nation":[{"name":"Kenya","abbreviation":"KEN"}],"geog_coverage":"National coverage","analysis_unit":"- Household","data_kind":"Sample survey data [ssd]","notes":"The scope of the Global Survey on Energy Access using the Multi-Tier Framework approach in Kenya (2016-2018) includes:\n\n- Household roster\n- Household characteristics \n- Supply of electricity (electricity from national grid, electricity from mini grid, electric generator set, externally recharged battery (car battery), solar based devices, main solar-based device, main source of electricity\n- Willingness to pay for a grid connection \n- Willingness to pay for solar device\n- Kerosene\/Fuel-based \/Candle lighting\n- Dry-cell batteries\n- Household fuel consumption\n- Use of cooking solutions (kitchen conditions and main cookstove)\n- Space and water heating\n- Willingness to pay for an improved cookstove\n- Consumption\/ expenditure\n- Household assets: transportation and agricultural equipment ownership and total\n- Household land ownership and other assets\n- Household economic shocks\n- Street lighting\n- Time use\n- Health impacts\n- Attitudes\n- Women's empowerment"},"method":{"data_collection":{"data_collectors":[{"name":"EED Advisory","abbreviation":"","affiliation":"Private consulting firm"}],"sampling_procedure":"The household survey sample selection was based on a two-stage stratification aimed at achieving a nationally representative sample. A total of 3,300 households were surveyed, following the stratification criteria: 50:50 ratio of electrified and non-electrified households for the MTF tier analysis and equal allocation between urban and rural areas.","coll_mode":"Computer Assisted Personal Interview [capi]","research_instrument":"The survey was administered using 7 survey instruments (questionnaires): (i) households, (ii) institutional \u2013 schools, (iii) institutional \u2013 health centers, (iv) institutional \u2013 places of worship, (v) institutional \u2013 government offices, (vi) community focus group discussion and (vii) mini-grid developers. The questionnaires were drafted by the World Bank ESMAP team and revised by the consulting team based on extended discussion and feedback from pretesting exercises done in Kajiado and Narok towns. A downloadable copy of the questionnaire is provided under the documentation tab.","cleaning_operations":"No editing was done to the raw dataset available on this website, except removal of personal information."}},"data_access":{"dataset_use":{"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n\nEnergy Sector Management Assistance Program, World Bank. Multi-Tier Framework for Measuring Energy Access - Kenya Household Survey (2018), Ref. KEN_2016-2018_MTF_v02_M. Dataset downloaded from [URL] on [date].","conditions":"Public use.","disclaimer":"(c)2018, The World Bank."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}